From 73b1f19860cc0fdb2f100d15e72fa9cfb6472700 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" <41898282+github-actions[bot]@users.noreply.github.com> Date: Mon, 23 Sep 2024 15:15:32 +0200 Subject: [PATCH 01/84] Update poetry dependencies (#234) Co-authored-by: maciejmajek <46171033+maciejmajek@users.noreply.github.com> Co-authored-by: Maciej Majek --- poetry.lock | 1015 ++++++++++++++++++++++++++------------------------- 1 file changed, 522 insertions(+), 493 deletions(-) diff --git a/poetry.lock b/poetry.lock index 89a9ce2e2..e309feb6f 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. 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insertions(+), 3 deletions(-) create mode 100644 src/rai_extensions/rai_grounding_dino/rai_grounding_dino/tools.py diff --git a/src/rai/rai/tools/ros/__init__.py b/src/rai/rai/tools/ros/__init__.py index 7caac4a32..34d266ef5 100644 --- a/src/rai/rai/tools/ros/__init__.py +++ b/src/rai/rai/tools/ros/__init__.py @@ -14,6 +14,7 @@ # from .cli import Ros2InterfaceTool, Ros2ServiceTool, Ros2TopicTool +from .native import Ros2BaseInput, Ros2BaseTool from .tools import ( AddDescribedWaypointToDatabaseTool, GetCurrentPositionTool, @@ -24,6 +25,8 @@ "Ros2TopicTool", "Ros2InterfaceTool", "Ros2ServiceTool", + "Ros2BaseTool", + "Ros2BaseInput", "AddDescribedWaypointToDatabaseTool", "GetOccupancyGridTool", "GetCurrentPositionTool", diff --git a/src/rai/rai/tools/ros/utils.py b/src/rai/rai/tools/ros/utils.py index 4e28cd8a0..d8a0ae88a 100644 --- a/src/rai/rai/tools/ros/utils.py +++ b/src/rai/rai/tools/ros/utils.py @@ -17,6 +17,7 @@ from typing import Type, Union, cast import cv2 +import numpy as np import sensor_msgs.msg from cv_bridge import CvBridge from rclpy.impl.implementation_singleton import rclpy_implementation as _rclpy @@ -34,6 +35,41 @@ def import_message_from_str(msg_type: str) -> Type[object]: return import_message_from_namespaced_type(msg_namespaced_type) +def convert_ros_img_to_ndarray( + msg: sensor_msgs.msg.Image, encoding: str = "" +) -> np.ndarray: + if encoding == "": + encoding = msg.encoding.lower() + + if encoding == "rgb8": + image_data = np.frombuffer(msg.data, np.uint8) + image = image_data.reshape((msg.height, msg.width, 3)) + elif encoding == "bgr8": + image_data = np.frombuffer(msg.data, np.uint8) + image = image_data.reshape((msg.height, msg.width, 3)) + image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB) + elif encoding == "mono8": + image_data = np.frombuffer(msg.data, np.uint8) + image = image_data.reshape((msg.height, msg.width)) + elif encoding == "16uc1": + image_data = np.frombuffer(msg.data, np.uint16) + image = image_data.reshape((msg.height, msg.width)) + else: + raise ValueError(f"Unsupported encoding: {encoding}") + + return image + + +def convert_ros_img_to_cv2mat(msg: sensor_msgs.msg.Image) -> cv2.typing.MatLike: + bridge = CvBridge() + cv_image = cast(cv2.Mat, bridge.imgmsg_to_cv2(msg, desired_encoding="passthrough")) # type: ignore + if cv_image.shape[-1] == 4: + cv_image = cv2.cvtColor(cv_image, cv2.COLOR_BGRA2RGB) + else: + cv_image = cv2.cvtColor(cv_image, cv2.COLOR_BGR2RGB) + return cv_image + + def convert_ros_img_to_base64(msg: sensor_msgs.msg.Image) -> str: bridge = CvBridge() cv_image = cast(cv2.Mat, bridge.imgmsg_to_cv2(msg, desired_encoding="passthrough")) # type: ignore @@ -55,7 +91,7 @@ def wait_for_message( topic: str, *, qos_profile: Union[QoSProfile, int] = 1, - time_to_wait=-1 + time_to_wait=-1, ): """ Wait for the next incoming message. diff --git a/src/rai_extensions/rai_grounding_dino/README.md b/src/rai_extensions/rai_grounding_dino/README.md index 899cab870..a1f48f1eb 100644 --- a/src/rai_extensions/rai_grounding_dino/README.md +++ b/src/rai_extensions/rai_grounding_dino/README.md @@ -58,6 +58,49 @@ ros2 launch rai_grounding_dino gdino_launch.xml [weights_path:=PATH/TO/WEIGHTS] > By default the weights will be downloaded to `$(ros2 pkg prefix rai_grounding_dino)/share/weights/`. > You can change this path if you downloaded the weights manually or moved them. +### RAI Tools + +This package provides the following tools: + +- `GetDetectionTool` + This tool calls the grounding dino service to use the model to see if the message from the provided camera topic contains objects from a comma separated prompt. + + **Example call** + + ``` + x = GetDetectionTool(node=RaiBaseNode(node_name="test_node"))._run( + camera_topic="/camera/camera/color/image_raw", + object_names=["chair", "human", "plushie", "box", "ball"], + ) + + ``` + + **Example output** + + ``` + I have detected the following items in the picture - chair, human + ``` + +- `GetDistanceToObjectsTool` + This tool calls the grounding dino service to use the model to see if the message from the provided camera topic contains objects from a comma separated prompt. Then it utilises messages from depth camera to create an estimation of distance to a detected object. + + **Example call** + + ``` + x = GetDistanceToObjectsTool(node=RaiBaseNode(node_name="test_node"))._run( + camera_topic="/camera/camera/color/image_raw", + depth_topic="/camera/camera/depth/image_rect_raw", + object_names=["chair", "human", "plushie", "box", "ball"], + ) + + ``` + + **Example output** + + ``` + I have detected the following items in the picture human: 1.68 m away, chair: 2.20 m away + ``` + ### Example An example client is provided with the package as `rai_grounding_dino/talker.py` diff --git a/src/rai_extensions/rai_grounding_dino/rai_grounding_dino/__init__.py b/src/rai_extensions/rai_grounding_dino/rai_grounding_dino/__init__.py index f138f42af..522b9d61b 100644 --- a/src/rai_extensions/rai_grounding_dino/rai_grounding_dino/__init__.py +++ b/src/rai_extensions/rai_grounding_dino/rai_grounding_dino/__init__.py @@ -12,3 +12,13 @@ # See the License for the specific language governing permissions and # limitations under the License. # + +from .grounding_dino import GDINO_NODE_NAME, GDINO_SERVICE_NAME +from .tools import GetDetectionTool, GetDistanceToObjectsTool + +__all__ = [ + "GetDistanceToObjectsTool", + "GetDetectionTool", + "GDINO_NODE_NAME", + "GDINO_SERVICE_NAME", +] diff --git a/src/rai_extensions/rai_grounding_dino/rai_grounding_dino/boxer.py b/src/rai_extensions/rai_grounding_dino/rai_grounding_dino/boxer.py index 6dcc071cf..0e3fa07c9 100644 --- a/src/rai_extensions/rai_grounding_dino/rai_grounding_dino/boxer.py +++ b/src/rai_extensions/rai_grounding_dino/rai_grounding_dino/boxer.py @@ -16,6 +16,7 @@ from os import PathLike from typing import Dict +import cv2 from cv_bridge import CvBridge from groundingdino.util.inference import Model from rclpy.time import Time @@ -83,6 +84,7 @@ def get_boxes( image = self.bridge.imgmsg_to_cv2( image_msg, desired_encoding=image_msg.encoding ) + image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB) predictions = self.model.predict_with_classes( image=image, diff --git a/src/rai_extensions/rai_grounding_dino/rai_grounding_dino/grounding_dino.py b/src/rai_extensions/rai_grounding_dino/rai_grounding_dino/grounding_dino.py index de32907a0..e610f6d0c 100644 --- a/src/rai_extensions/rai_grounding_dino/rai_grounding_dino/grounding_dino.py +++ b/src/rai_extensions/rai_grounding_dino/rai_grounding_dino/grounding_dino.py @@ -34,11 +34,15 @@ class GDRequest(TypedDict): source_img: Image +GDINO_NODE_NAME = "grounding_dino" +GDINO_SERVICE_NAME = "grounding_dino_classify" + + class GDinoService(Node): def __init__(self): - super().__init__(node_name="grounding_dino", parameter_overrides=[]) + super().__init__(node_name=GDINO_NODE_NAME, parameter_overrides=[]) self.srv = self.create_service( - RAIGroundingDino, "grounding_dino_classify", self.classify_callback + RAIGroundingDino, GDINO_SERVICE_NAME, self.classify_callback ) self.declare_parameter("weights_path", "") try: diff --git a/src/rai_extensions/rai_grounding_dino/rai_grounding_dino/tools.py b/src/rai_extensions/rai_grounding_dino/rai_grounding_dino/tools.py new file mode 100644 index 000000000..6577c84e1 --- /dev/null +++ b/src/rai_extensions/rai_grounding_dino/rai_grounding_dino/tools.py @@ -0,0 +1,251 @@ +# Copyright (C) 2024 Robotec.AI +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from typing import List, NamedTuple, Optional, Type + +import numpy as np +import rclpy +import sensor_msgs.msg +from pydantic import BaseModel, Field +from rai_grounding_dino import GDINO_SERVICE_NAME +from rclpy import Future +from rclpy.exceptions import ( + ParameterNotDeclaredException, + ParameterUninitializedException, +) + +from rai.node import RaiBaseNode +from rai.tools.ros import Ros2BaseInput, Ros2BaseTool +from rai.tools.ros.utils import convert_ros_img_to_ndarray +from rai_interfaces.srv import RAIGroundingDino + + +# --------------------- Inputs --------------------- +class Ros2GetDetectionInput(Ros2BaseInput): + camera_topic: str = Field( + ..., + description="Ros2 topic for the camera image containing image to run detection on.", + ) + object_names: list[str] = Field( + ..., description="Natural language names of the objects to detect" + ) + + +class GetDistanceToObjectsInput(Ros2BaseInput): + camera_topic: str = Field( + ..., + description="Ros2 topic for the camera image containing image to run detection on.", + ) + depth_topic: str = Field( + ..., + description="Ros2 topic for the depth image containing data to run distance calculations on", + ) + object_names: list[str] = Field( + ..., description="Natural language names of the objects to detect" + ) + + +# -------------------- Utils ---------------------- + + +class BoundingBox(BaseModel): + x_center: float + y_center: float + width: float + height: float + + +class DetectionData(BaseModel): + class_name: str + confidence: float + bbox: BoundingBox + + +class DistanceMeasurement(NamedTuple): + name: str + distance: float + + +# --------------------- Tools --------------------- +class GroundingDinoBaseTool(Ros2BaseTool): + node: RaiBaseNode = Field(..., exclude=True, required=True) + + def _spin(self, future: Future) -> Optional[RAIGroundingDino.Response]: + rclpy.spin_once(self.node) + if future.done(): + try: + response = future.result() + except Exception as e: + self.node.get_logger().info("Service call failed %r" % (e,)) + raise Exception("Service call failed %r" % (e,)) + else: + assert response is not None + self.node.get_logger().info(f"{response.detections}") + return response + return None + + def _call_gdino_node( + self, camera_img_message: sensor_msgs.msg.Image, object_names: list[str] + ) -> Future: + cli = self.node.create_client(RAIGroundingDino, GDINO_SERVICE_NAME) + while not cli.wait_for_service(timeout_sec=1.0): + self.node.get_logger().info("service not available, waiting again...") + req = RAIGroundingDino.Request() + req.source_img = camera_img_message + req.classes = " , ".join(object_names) + req.box_threshold = 0.4 # TODO make this somehow configurable + req.text_threshold = 0.4 + + future = cli.call_async(req) + return future + + def _get_image_message(self, topic: str) -> sensor_msgs.msg.Image: + msg = self.node.get_raw_message_from_topic(topic) + if type(msg) is sensor_msgs.msg.Image: + return msg + else: + raise Exception("Received wrong message") + + def _parse_detection_array( + self, detection_response: RAIGroundingDino.Response + ) -> list[DetectionData]: + detected = [] + for detection in detection_response.detections.detections: + class_name = detection.results[0].hypothesis.class_id + confidence = detection.results[0].hypothesis.score + bbox = BoundingBox( + x_center=detection.bbox.center.position.x, + y_center=detection.bbox.center.position.y, + width=detection.bbox.size_x, + height=detection.bbox.size_y, + ) + detected.append( + DetectionData(class_name=class_name, confidence=confidence, bbox=bbox) + ) + return detected + + +class GetDetectionTool(GroundingDinoBaseTool): + name: str = "GetDetectionTool" + description: str = ( + "A tool for detecting specified objects using a ros2 action. The tool call might take some time to execute and is blocking - you will not be able to check their feedback, only will be informed about the result." + ) + + args_schema: Type[Ros2GetDetectionInput] = Ros2GetDetectionInput + + def _run( + self, + camera_topic: str, + object_names: list[str], + ): + camera_img_msg = self._get_image_message(camera_topic) + future = self._call_gdino_node(camera_img_msg, object_names) + + while rclpy.ok(): + resolved = self._spin(future) + if resolved is not None: + detected = self._parse_detection_array(resolved) + names = ", ".join([det.class_name for det in detected]) + return f"I have detected the following items in the picture {names or 'None'}" + + return "Failed to get detection" + + +class GetDistanceToObjectsTool(GroundingDinoBaseTool): + name: str = "GetDistanceToObjectsTool" + description: str = ( + "A tool for calculating distance to specified objects using a ros2 action. The tool call might take some time to execute and is blocking - you will not be able to check their feedback, only will be informed about the result." + ) + + args_schema: Type[GetDistanceToObjectsInput] = GetDistanceToObjectsInput + + def _get_distance_from_detections( + self, + depth_img: sensor_msgs.msg.Image, + detections: list[DetectionData], + sigma_threshold: float = 1.0, + conversion_ratio: float = 0.001, + ) -> List[DistanceMeasurement]: + depth_arr = convert_ros_img_to_ndarray(depth_img) + ret = [] + for detection in detections: + x_min = int(detection.bbox.x_center - (0.5 * detection.bbox.width)) + x_max = int(detection.bbox.x_center + (0.5 * detection.bbox.width)) + y_min = int(detection.bbox.y_center - (0.5 * detection.bbox.height)) + y_max = int(detection.bbox.y_center + (0.5 * detection.bbox.height)) + roi = depth_arr[x_min:x_max, y_min:y_max] + mean = np.mean(roi) + std_dev = np.std(roi) + + if std_dev != 0: + z_scores = (roi - mean) / std_dev + mask = np.abs(z_scores) < sigma_threshold + ret.append( + (detection.class_name, np.mean(roi[mask]) * conversion_ratio) + ) + else: + ret.append((detection.class_name, mean * conversion_ratio)) + return ret + + def _run( + self, + camera_topic: str, + depth_topic: str, + object_names: list[str], + ): + camera_img_msg = self._get_image_message(camera_topic) + depth_img_msg = self._get_image_message(depth_topic) + future = self._call_gdino_node(camera_img_msg, object_names) + logger = self.node.get_logger() + + try: + threshold = self.node.get_parameter("outlier_sigma_threshold").value + if not isinstance(threshold, float): + logger.error( + f"Parametr outlier_sigma_threshold was set badly: {type(threshold)}: {threshold} expected float. Using default value 1.0" + ) + threshold = 1.0 + except (ParameterUninitializedException, ParameterNotDeclaredException): + logger.warning( + "Parameter outlier_sigma_threshold not found in node, using default value: 1.0" + ) + threshold = 1.0 + + try: + conversion_ratio = self.node.get_parameter("conversion_ratio").value + if not isinstance(conversion_ratio, float): + logger.error( + f"Parametr conversion_ratio was set badly: {type(threshold)}: {threshold} expected float. Using default value 0.001" + ) + conversion_ratio = 0.001 + except (ParameterUninitializedException, ParameterNotDeclaredException): + logger.warning( + "Parameter conversion_ratio not found in node, using default value: 0.001" + ) + conversion_ratio = 0.001 + while rclpy.ok(): + resolved = self._spin(future) + if resolved is not None: + detected = self._parse_detection_array(resolved) + measurements = self._get_distance_from_detections( + depth_img_msg, detected, threshold, conversion_ratio + ) + measurement_string = ", ".join( + [ + f"{measurement[0]}: {measurement[1]:.2f}m away" + for measurement in measurements + ] + ) + return f"I have detected the following items in the picture {measurement_string or 'no objects'}" + return "Failed" diff --git a/src/rai_interfaces/msg/RAIDetectionArray.msg b/src/rai_interfaces/msg/RAIDetectionArray.msg index 0735d0823..a478be53f 100644 --- a/src/rai_interfaces/msg/RAIDetectionArray.msg +++ b/src/rai_interfaces/msg/RAIDetectionArray.msg @@ -20,4 +20,5 @@ std_msgs/Header header # A list of the detected proposals. A multi-proposal detector might generate # this list with many candidate detections generated from a single input. vision_msgs/Detection2D[] detections +# a list of classes being detected string[] detection_classes From ea8f5cecb8695838fc34c0d4172d8cfd66f343f0 Mon Sep 17 00:00:00 2001 From: Maciej Majek Date: Tue, 24 Sep 2024 14:07:38 +0200 Subject: [PATCH 03/84] docs: update text hmi command --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index a301ffc2a..b42f15454 100644 --- a/README.md +++ b/README.md @@ -137,7 +137,7 @@ You can start by running the following examples: Chat seamlessly with your ROS 2 environment, retrieve images from cameras, adjust parameters, and get information about your ROS interfaces. ```bash -streamlit run src/rai_hmi/rai_hmi/streamlit_hmi_node.py +streamlit run src/rai_hmi/rai_hmi/text_hmi.py ``` Remember to run this command in a sourced shell. From 45279533f52c43f7a04b4056a0ea11eb30997a79 Mon Sep 17 00:00:00 2001 From: Maciej Majek Date: Tue, 24 Sep 2024 14:08:03 +0200 Subject: [PATCH 04/84] feat: allow empty identity and constitution in base hmi node --- src/rai_hmi/rai_hmi/base.py | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/src/rai_hmi/rai_hmi/base.py b/src/rai_hmi/rai_hmi/base.py index c5ca90063..0bd3850e2 100644 --- a/src/rai_hmi/rai_hmi/base.py +++ b/src/rai_hmi/rai_hmi/base.py @@ -157,6 +157,14 @@ def query_faiss_index_with_scores( return output def _initialize_system_prompt(self): + if self.robot_description_package == "": + self.get_logger().warning( + "Robot description package not set, using empty identity and constitution." + ) + return SYSTEM_PROMPT.format( + constitution="", + identity="", + ) while not self.constitution_service.wait_for_service(timeout_sec=1.0): self.get_logger().info( "Constitution service of rai_whoami not available, waiting..." From 3ca986682e4cb138bee5042de1e16d8eb3bf6b2e Mon Sep 17 00:00:00 2001 From: Maciej Majek Date: Tue, 24 Sep 2024 14:08:19 +0200 Subject: [PATCH 05/84] fix: typo in compare statement --- src/rai_hmi/rai_hmi/text_hmi.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/rai_hmi/rai_hmi/text_hmi.py b/src/rai_hmi/rai_hmi/text_hmi.py index 3e5e1ffa9..dbcb6b5ce 100644 --- a/src/rai_hmi/rai_hmi/text_hmi.py +++ b/src/rai_hmi/rai_hmi/text_hmi.py @@ -328,7 +328,7 @@ def run(self): def get_system_status(self) -> SystemStatus: return SystemStatus( robot_database=self.hmi_ros_node.faiss_index is not None, - system_prompt=self.hmi_ros_node.system_prompt == "", + system_prompt=self.hmi_ros_node.system_prompt != "", ) def initialize_node(self, feedbacks_queue, robot_description_package): From 4cc7e7b1d541e6c6958eb72f6801484afc4803e7 Mon Sep 17 00:00:00 2001 From: Bartek Boczek <22739059+boczekbartek@users.noreply.github.com> Date: Thu, 26 Sep 2024 13:45:28 +0200 Subject: [PATCH 06/84] docs: improve whoami docs (#239) --- docs/create_robots_whoami.md | 32 ++++++++++++++++++-------------- docs/vendors.md | 2 ++ 2 files changed, 20 insertions(+), 14 deletions(-) diff --git a/docs/create_robots_whoami.md b/docs/create_robots_whoami.md index 6baf044d5..944ba74e9 100644 --- a/docs/create_robots_whoami.md +++ b/docs/create_robots_whoami.md @@ -8,20 +8,26 @@ Your robot's `whoami` package serves as a configuration package for the `rai_who ## Example (Franka Emika Panda arm) -1. Create a whoami package for Panda +1. Setup the repository using 1st and 2nd step from [Setup](../README.md#setup) -``` -poetry run create_rai_ws --name panda --destination-directory src/examples -``` +2. Create a whoami package for Panda -2. Fill in the `src/examples/panda_whoami/description` folder with data:\ + ```shell + poetry run create_rai_ws --name panda --destination-directory src/examples + ``` + +3. Fill in the `src/examples/panda_whoami/description` folder with data:\ 2.1 Save [this image](https://robodk.com/robot/img/Franka-Emika-Panda-robot.png) into `src/examples/panda_whoami/description/images`\ 2.2 Save [this document](https://github.com/user-attachments/files/16417196/Franka.Emika.Panda.robot.-.RoboDK.pdf) in `src/examples/panda_whoami/description/documentation` -3. Run the `parse_whoami_package`. This will process the documentation, building it into a vector database, which is used by RAI agent to reason about its identity. +4. Run the `parse_whoami_package`. This will process the documentation, building it into a vector database, which is used by RAI agent to reason about its identity. -``` -poetry run parse_whoami_package src/examples/panda_whoami/description src/examples/panda_whoami/description +> **NOTE**: By default the vector database is created using the OpenAI API. Parsing +> bigger documents might lead to costs. Embedding model can be configured in +> [config.toml](../config.toml) (`ollama` works locally, see [docs/vendors.md](./vendors.md#ollama)). + +```shell +poetry run parse_whoami_package src/examples/panda_whoami/description ``` > [!IMPORTANT] @@ -31,18 +37,16 @@ poetry run parse_whoami_package src/examples/panda_whoami/description src/exampl You can test your new `panda_whoami` package by calling `rai_whoami` services: -2. Building and sourcing the install +2. Building the `rai_whoami` package and running the `rai_whoami_node` for your `Panda` robot: -``` -colcon build -source install/setup.sh -export PYTHONPATH="$(dirname $(dirname $(poetry run which python)))/lib/python$(poetry run python --version | awk '{print $2}' | cut -d. -f1,2)/site-packages:$PYTHONPATH" +```shell +colcon build --symlink-install ros2 run rai_whoami rai_whoami_node --ros-args -p robot_description_package:="panda_whoami" ``` 2. Calling the rai_whoami services -``` +```shell ros2 service call /rai_whoami_identity_service std_srvs/srv/Trigger # ask for identity ros2 service call /rai_whoami_selfimages_service std_srvs/srv/Trigger # ask for images folder ros2 service call /rai_whoami_constitution_service std_srvs/srv/Trigger # ask for robot constitution diff --git a/docs/vendors.md b/docs/vendors.md index 004e525dd..95e38e59f 100644 --- a/docs/vendors.md +++ b/docs/vendors.md @@ -2,6 +2,8 @@ ## Ollama +For installation see: https://ollama.com/ + ```python from langchain_community.chat_models import ChatOllama From 18af5364b72327a424191a7d6e4e6d382903fe26 Mon Sep 17 00:00:00 2001 From: Bartek Boczek <22739059+boczekbartek@users.noreply.github.com> Date: Thu, 26 Sep 2024 14:28:04 +0200 Subject: [PATCH 07/84] fix(`text_hmi`): uids are strings (#241) --- src/rai_hmi/rai_hmi/agent.py | 6 +++--- src/rai_hmi/rai_hmi/task.py | 4 ++-- src/rai_hmi/rai_hmi/text_hmi_utils.py | 8 +++----- 3 files changed, 8 insertions(+), 10 deletions(-) diff --git a/src/rai_hmi/rai_hmi/agent.py b/src/rai_hmi/rai_hmi/agent.py index 4d7a1b6b2..08634508d 100644 --- a/src/rai_hmi/rai_hmi/agent.py +++ b/src/rai_hmi/rai_hmi/agent.py @@ -40,16 +40,16 @@ def get_mission_memory(uid: str) -> List[MissionMessage]: def add_task_to_queue(task: TaskInput): """Use this tool to add a task to the queue. The task will be handled by the executor part of your system.""" - uid = uuid.uuid1() + uid = uuid.uuid4() hmi_node.add_task_to_queue( Task( name=task.name, description=task.description, priority=task.priority, - uid=uid, + uid=str(uid), ) ) - return f"UID={uid} | Task added to the queue: {task.json()}" + return f"UID={uid} | Task added to the queue: {task.model_dump_json()}" node_tools = tools = [ Ros2GetRobotInterfaces(node=rai_node), diff --git a/src/rai_hmi/rai_hmi/task.py b/src/rai_hmi/rai_hmi/task.py index 73b86ad1a..86d527402 100644 --- a/src/rai_hmi/rai_hmi/task.py +++ b/src/rai_hmi/rai_hmi/task.py @@ -15,7 +15,7 @@ from enum import Enum -from pydantic import UUID4, BaseModel +from pydantic import BaseModel class Priority(str, Enum): @@ -33,4 +33,4 @@ class TaskInput(BaseModel): class Task(TaskInput): - uid: UUID4 + uid: str diff --git a/src/rai_hmi/rai_hmi/text_hmi_utils.py b/src/rai_hmi/rai_hmi/text_hmi_utils.py index 82b3406b6..e138312a5 100644 --- a/src/rai_hmi/rai_hmi/text_hmi_utils.py +++ b/src/rai_hmi/rai_hmi/text_hmi_utils.py @@ -13,7 +13,6 @@ # limitations under the License. # -import uuid from pprint import pformat from typing import List, Optional, Set, cast @@ -45,12 +44,11 @@ def get_mission_memory(self, uid: Optional[str] = None) -> List[MissionMessage]: if not uid: return self.mission_memory - _uid = uuid.UUID(uid) print(f"{self.missions_uids=}") - if _uid not in self.missions_uids: - raise AssertionError(f"Mission with {_uid=} not found") + if uid not in self.missions_uids: + raise AssertionError(f"Mission with {uid=} not found") - return [m for m in self.mission_memory if m.uid == _uid] + return [m for m in self.mission_memory if m.uid == uid] def __repr__(self) -> str: return f"===> Chat <===\n{pformat(self.chat_memory)}\n\n===> Mission <===\n{pformat(self.mission_memory)}\n\n===> Tool calls <===\n{pformat(self.tool_calls)}" From 6ea25332dc1b13ff77a6c43f68c59b592b5e5cb7 Mon Sep 17 00:00:00 2001 From: Bartek Boczek <22739059+boczekbartek@users.noreply.github.com> Date: Thu, 26 Sep 2024 14:34:39 +0200 Subject: [PATCH 08/84] fix(`Ros2PubMessageTool`): not all messages has headers + unitest (#237) --- src/rai/rai/tools/ros/native.py | 4 +- tests/core/test_ros2_tools.py | 102 ++++++++++++++++++++++++++++++++ 2 files changed, 105 insertions(+), 1 deletion(-) create mode 100644 tests/core/test_ros2_tools.py diff --git a/src/rai/rai/tools/ros/native.py b/src/rai/rai/tools/ros/native.py index e90b2e06a..2c15064be 100644 --- a/src/rai/rai/tools/ros/native.py +++ b/src/rai/rai/tools/ros/native.py @@ -171,8 +171,10 @@ def _run(self, topic_name: str, msg_type: str, msg_args: Dict[str, Any]): msg_cls, topic_name, 10 ) # TODO(boczekbartek): infer qos profile from topic info - msg.header.stamp = self.node.get_clock().now().to_msg() + if hasattr(msg, "header"): + msg.header.stamp = self.node.get_clock().now().to_msg() publisher.publish(msg) + self.logger.info(f"Published message '{msg}' to topic '{topic_name}'") class TopicInput(Ros2BaseInput): diff --git a/tests/core/test_ros2_tools.py b/tests/core/test_ros2_tools.py new file mode 100644 index 000000000..7ca0cec6f --- /dev/null +++ b/tests/core/test_ros2_tools.py @@ -0,0 +1,102 @@ +# Copyright (C) 2024 Robotec.AI +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +import threading + +import pytest +import rclpy +from langchain_core.messages import HumanMessage, SystemMessage +from langchain_openai.chat_models import ChatOpenAI +from rclpy.executors import MultiThreadedExecutor +from rclpy.node import Node +from std_msgs.msg import String + +from rai.agents.state_based import create_state_based_agent +from rai.tools.ros.native import Ros2PubMessageTool + + +class Subscriber(Node): + def __init__(self) -> None: + super().__init__("subscriber") + + self.sub = self.create_subscription( + String, + "/rai/tests/ros2_topic", + self.callback, + 10, + ) + + self.get_logger().info("Subscriber created") + self.callback_called = False + self.received_message = "" + + def callback(self, msg): + self.get_logger().info(f"Received message: {msg.data}") + self.received_message = msg.data + self.callback_called = True + + +class RosNode(Node): + def __init__(self): + super().__init__("ros_node") + + +@pytest.mark.billable +@pytest.mark.timeout(10) +@pytest.mark.parametrize( + "test_message, topic", + [ + ("test", "/rai/tests/ros2_topic"), + ], +) +def test_ros2_pub_message_tool_llm( + chat_openai_text: ChatOpenAI, test_message: str, topic: str +): + rclpy.init() + ros_node = RosNode() + pub_ros2_message_tool = Ros2PubMessageTool(node=ros_node) + tools = [pub_ros2_message_tool] + subscriber = Subscriber() + + llm_with_tools = create_state_based_agent( + llm=chat_openai_text, + tools=tools, + state_retriever=lambda: {}, + logger=ros_node.get_logger(), + ) + + executor = MultiThreadedExecutor() + executor.add_node(ros_node) + executor.add_node(subscriber) + t = threading.Thread(target=executor.spin) + + system = SystemMessage( + "You are a ros2 agent that can run tools: {render_text_description_and_args(tools)}" + ) + query = HumanMessage( + f"Publish a std_msgs/msg/String '{test_message}' to the topic '{topic}'" + ) + + messages = [system, query] + try: + t.start() + llm_with_tools.invoke(dict(messages=messages)) + + while not subscriber.callback_called: + pass + assert subscriber.received_message == "test" + finally: + executor.shutdown() + t.join() From 5f193357d4030dd4e52bf7251f3bb560812ca69c Mon Sep 17 00:00:00 2001 From: Bartek Boczek <22739059+boczekbartek@users.noreply.github.com> Date: Thu, 26 Sep 2024 15:09:55 +0200 Subject: [PATCH 09/84] feat: improve ros2 pub msg tool (#242) Co-authored-by: Maciej Majek <46171033+maciejmajek@users.noreply.github.com> --- src/rai/rai/tools/ros/native.py | 37 ++++++++++++++++++++++++++++----- 1 file changed, 32 insertions(+), 5 deletions(-) diff --git a/src/rai/rai/tools/ros/native.py b/src/rai/rai/tools/ros/native.py index 2c15064be..a5af1c1ef 100644 --- a/src/rai/rai/tools/ros/native.py +++ b/src/rai/rai/tools/ros/native.py @@ -14,6 +14,7 @@ # import json +import time from typing import Any, Dict, OrderedDict, Tuple, Type import rclpy @@ -64,6 +65,8 @@ class PubRos2MessageToolInput(BaseModel): msg_args: Dict[str, Any] = Field( ..., description="The arguments of the service call." ) + rate: int = Field(10, description="The rate at which to publish the message.") + timeout_seconds: int = Field(1, description="The timeout in seconds.") # --------------------- Tools --------------------- @@ -136,6 +139,8 @@ def _run(self, msg_name: str): class Ros2PubMessageTool(Ros2BaseTool): name: str = "PubRos2MessageTool" description: str = """A tool for publishing a message to a ros2 topic + + By default 10 messages are published for 1 second. If you want to publish multiple messages, you can specify 'rate' and 'timeout_sec'. Example usage: ```python @@ -145,6 +150,8 @@ class Ros2PubMessageTool(Ros2BaseTool): "topic_name": "/some_topic", "msg_type": "geometry_msgs/Point", "msg_args": {"x": 0.0, "y": 0.0, "z": 0.0}, + "rate" : 10, + "timeout_sec" : 1 } ) @@ -161,7 +168,14 @@ def _build_msg( rosidl_runtime_py.set_message.set_message_fields(msg, msg_args) return msg, msg_cls - def _run(self, topic_name: str, msg_type: str, msg_args: Dict[str, Any]): + def _run( + self, + topic_name: str, + msg_type: str, + msg_args: Dict[str, Any], + rate: int = 10, + timeout_seconds: int = 1, + ): """Publishes a message to the specified topic.""" if "/msg/" not in msg_type: raise ValueError("msg_name must contain 'msg' in the name.") @@ -171,10 +185,23 @@ def _run(self, topic_name: str, msg_type: str, msg_args: Dict[str, Any]): msg_cls, topic_name, 10 ) # TODO(boczekbartek): infer qos profile from topic info - if hasattr(msg, "header"): - msg.header.stamp = self.node.get_clock().now().to_msg() - publisher.publish(msg) - self.logger.info(f"Published message '{msg}' to topic '{topic_name}'") + def callback(): + publisher.publish(msg) + self.logger.info(f"Published message '{msg}' to topic '{topic_name}'") + + ts = time.perf_counter() + timer = self.node.create_timer(1.0 / rate, callback) + + while time.perf_counter() - ts < timeout_seconds: + time.sleep(0.1) + + timer.cancel() + timer.destroy() + + self.logger.info( + f"Published messages for {timeout_seconds}s to topic '{topic_name}' with rate {rate}" + ) + return class TopicInput(Ros2BaseInput): From 16fad8c08240194cefe90c1315a3a8b8b8f51c75 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Kajetan=20Rachwa=C5=82?= <69043608+rachwalk@users.noreply.github.com> Date: Thu, 26 Sep 2024 15:47:06 +0200 Subject: [PATCH 10/84] build: remove CI on draft PRs (#244) Co-authored-by: Maciej Majek --- .github/workflows/poetry-test.yml | 2 ++ 1 file changed, 2 insertions(+) diff --git a/.github/workflows/poetry-test.yml b/.github/workflows/poetry-test.yml index 87e43b48b..cd4a43e18 100644 --- a/.github/workflows/poetry-test.yml +++ b/.github/workflows/poetry-test.yml @@ -2,11 +2,13 @@ name: build and test on: pull_request: + types: [opened, synchronize, reopened, edited, ready_for_review] branches: - development jobs: build-and-test-ros2: + if: github.event.pull_request.draft == false strategy: matrix: include: From 3e37fd7ec1c568a234c3a70b14435ddc0483d281 Mon Sep 17 00:00:00 2001 From: Maciej Majek <46171033+maciejmajek@users.noreply.github.com> Date: Fri, 27 Sep 2024 11:17:10 +0200 Subject: [PATCH 11/84] fix(hri.launch): use voice_hmi_node instead of hmi_node (#246) --- src/rai_bringup/launch/hri.launch.py | 4 +- src/rai_hmi/rai_hmi/hmi_node.py | 297 --------------------------- src/rai_hmi/setup.py | 1 - 3 files changed, 2 insertions(+), 300 deletions(-) delete mode 100755 src/rai_hmi/rai_hmi/hmi_node.py diff --git a/src/rai_bringup/launch/hri.launch.py b/src/rai_bringup/launch/hri.launch.py index bec3f8a33..e2cf941f8 100644 --- a/src/rai_bringup/launch/hri.launch.py +++ b/src/rai_bringup/launch/hri.launch.py @@ -76,8 +76,8 @@ def generate_launch_description(): hmi_node = Node( package="rai_hmi", - executable="hmi_node", - name="hmi_node", + executable="voice_hmi_node", + name="voice_hmi_node", parameters=[ { "robot_description_package": LaunchConfiguration( diff --git a/src/rai_hmi/rai_hmi/hmi_node.py b/src/rai_hmi/rai_hmi/hmi_node.py deleted file mode 100755 index d470b0861..000000000 --- a/src/rai_hmi/rai_hmi/hmi_node.py +++ /dev/null @@ -1,297 +0,0 @@ -# Copyright (C) 2024 Robotec.AI -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# - -import asyncio -from typing import List - -import rclpy -from ament_index_python.packages import get_package_share_directory -from langchain.agents import AgentExecutor, create_tool_calling_agent -from langchain.callbacks.base import BaseCallbackHandler -from langchain.tools import tool -from langchain_community.vectorstores import FAISS -from langchain_core.messages import BaseMessage, HumanMessage, SystemMessage -from langchain_core.prompts import ChatPromptTemplate -from rclpy.callback_groups import ReentrantCallbackGroup -from rclpy.executors import MultiThreadedExecutor -from rclpy.node import Node -from rclpy.parameter import Parameter -from std_msgs.msg import String -from std_srvs.srv import Trigger - -from rai.messages import HumanMultimodalMessage -from rai.tools.ros.native import ( - GetCameraImage, - GetMsgFromTopic, - Ros2GetTopicsNamesAndTypesTool, - Ros2PubMessageTool, -) -from rai.utils.model_initialization import get_embeddings_model, get_llm_model -from rai_hmi.task import Task -from rai_hmi.tools import QueryDatabaseTool, QueueTaskTool -from rai_interfaces.srv import VectorStoreRetrieval - - -@tool -def get_current_image(topic: str) -> str: - """Use this tool to get an image from a camera topic""" - try: - llm = get_llm_model(model_type="simple_model") - output = GetCameraImage()._run(topic_name=topic) - images = output["images"] - msg = HumanMultimodalMessage( - content="Please describe the image as thoroughly as possible. Reply with I see...", - images=images, - name="tool", - ) - return llm.invoke([msg]).content - except Exception as e: - return f"Error: {e}. Make sure the camera topic is correct." - - -class HMINode(Node): - def __init__(self): - super().__init__("rai_hmi_node") - self.declare_parameter("robot_description_package", Parameter.Type.STRING) - - self.history: List[BaseMessage] = [] - - self.callback_group = ReentrantCallbackGroup() - self.hmi_subscription = self.create_subscription( - String, - "from_human", - self.handle_human_message, - 10, - callback_group=self.callback_group, - ) - self.processing = False - self.hmi_publisher = self.create_publisher( - String, "to_human", 10, callback_group=self.callback_group - ) - - status_publisher_timer_period_sec = 0.25 - self.create_timer( - status_publisher_timer_period_sec, - self.status_callback, - callback_group=self.callback_group, - ) - - self.status_publisher = self.create_publisher(String, "hmi_status", 10) # type: ignore - self.task_addition_request_publisher = self.create_publisher( - String, "task_addition_requests", 10 - ) - - self.documentation_service = self.create_client( - VectorStoreRetrieval, - "rai_whoami_documentation_service", - callback_group=self.callback_group, - ) - self.constitution_service = self.create_client( - Trigger, - "rai_whoami_constitution_service", - ) - self.identity_service = self.create_client( - Trigger, "rai_whoami_identity_service" - ) - - self.robot_description_package = ( - self.get_parameter("robot_description_package") - .get_parameter_value() - .string_value - ) # type: ignore - - self.get_logger().info("HMI Node has been started") - system_prompt = self.initialize_system_prompt() - - self.llm = get_llm_model(model_type="complex_model") - - tools = [ - QueryDatabaseTool(get_response=self.get_database_response), - QueueTaskTool(add_task=self.add_task_to_queue), - Ros2GetTopicsNamesAndTypesTool(node=self), - GetMsgFromTopic(node=self), - Ros2PubMessageTool(node=self), - get_current_image, - ] - self.name_to_tool_map = {tool.name: tool for tool in tools} - - prompt = ChatPromptTemplate.from_messages( - [ - ("system", system_prompt), - ("placeholder", "{chat_history}"), - ("human", "{input}"), - ("placeholder", "{agent_scratchpad}"), - ] - ) - self.agent = create_tool_calling_agent(llm=self.llm, tools=tools, prompt=prompt) - self.agent_executor = AgentExecutor(agent=self.agent, tools=tools, verbose=True) - self.faiss_index = self._load_documentation() - - def status_callback(self): - if self.processing: - self.status_publisher.publish(String(data="processing")) - else: - self.status_publisher.publish(String(data="waiting")) - - def get_database_response(self, query: str) -> VectorStoreRetrieval.Response: - response = VectorStoreRetrieval.Response() - output = self.faiss_index.similarity_search_with_score(query) - response.message = "Query successful" - response.success = True - response.documents = [doc.page_content for doc, _ in output] - response.scores = [float(score) for _, score in output] - return response - - # Running the following code is problematic because - # it works once, but then it blocks the handle_human_message - while not self.documentation_service.wait_for_service(timeout_sec=1.0): - self.get_logger().info("Identity service not available, waiting again...") - - request = VectorStoreRetrieval.Request() - request.query = query - - request_future = self.documentation_service.call_async(request) - rclpy.spin_until_future_complete(self, request_future) - request_result = request_future.result() - return request_result - - def initialize_system_prompt(self): - while not self.constitution_service.wait_for_service(timeout_sec=1.0): - self.get_logger().info( - "Constitution service not available, waiting again..." - ) - - while not self.identity_service.wait_for_service(timeout_sec=1.0): - self.get_logger().info("Identity service not available, waiting again...") - - constitution_request = Trigger.Request() - - constitution_future = self.constitution_service.call_async(constitution_request) - rclpy.spin_until_future_complete(self, constitution_future) - constitution_response = constitution_future.result() - - identity_request = Trigger.Request() - - identity_future = self.identity_service.call_async(identity_request) - rclpy.spin_until_future_complete(self, identity_future) - identity_response = identity_future.result() - - system_prompt = f""" - Constitution: - {constitution_response.message} - - Identity: - {identity_response.message} - - You are a helpful assistant. You converse with users. - Assume the conversation is carried over a voice interface, so try not to overwhelm the user. - If you have multiple questions, please ask them one by one allowing user to respond before - moving forward to the next question. Keep the conversation short and to the point. - Always reply in first person. When you use the tool and get the output, always present it in first person. - """ - - self.get_logger().info("System prompt initialized.") - self.get_logger().debug(f"System prompt: {system_prompt}") - return system_prompt - - def handle_human_message(self, human_ros_msg: String): - asyncio.run(self.handle_human_message_async(human_ros_msg)) - - def _load_documentation(self) -> FAISS: - faiss_index = FAISS.load_local( - get_package_share_directory(self.robot_description_package) - + "/description", - get_embeddings_model(), - allow_dangerous_deserialization=True, - ) - return faiss_index - - def send_message_to_human(self, content: str): - msg = String() - msg.data = content - self.hmi_publisher.publish(msg) - - async def send_message_to_human_async(self, content: str): - msg = String() - msg.data = content - self.hmi_publisher.publish(msg) - - def add_task_to_queue(self, task: Task): - msg = String() - msg.data = task.json() - self.task_addition_request_publisher.publish(msg) - - def clear_history(self): - self.history = self.history[:1] - - class StreamingCallback(BaseCallbackHandler): - def __init__(self, node: "HMINode"): - self.node = node - self.buffer = "" - - def on_llm_new_token(self, token: str, **kwargs) -> None: - self.buffer += token - if len(self.buffer) >= 30 and token.endswith((".", "!", "?")): - self.node.send_message_to_human(self.buffer) - self.buffer = "" - - def on_llm_end(self, response, **kwargs) -> None: - if self.buffer: - self.node.send_message_to_human(self.buffer) - self.buffer = "" - - async def handle_human_message_async(self, human_ros_msg: String): - self.processing = True - self.get_logger().info("Handling human message") - if not human_ros_msg.data: - self.processing = False - self.get_logger().warn("Received an empty message, discarding") - return - - callback = self.StreamingCallback(self) - response = await self.agent_executor.ainvoke( - {"input": human_ros_msg.data, "chat_history": self.history}, - config={"callbacks": [callback]}, - ) - - self.history.append(HumanMessage(human_ros_msg.data)) - self.history.append(SystemMessage(content=response["output"])) - self.get_logger().info("Finished handling human message") - self.processing = False - - -def main(): - rclpy.init() - hmi_node = HMINode() - - async def run_node(): - executor = MultiThreadedExecutor() - executor.add_node(hmi_node) - - try: - while rclpy.ok(): - executor.spin_once() - await asyncio.sleep(0.1) - except KeyboardInterrupt: - hmi_node.get_logger().info("Keyboard interrupt, shutting down...") - finally: - hmi_node.destroy_node() - rclpy.shutdown() - - asyncio.run(run_node()) - - -if __name__ == "__main__": - main() diff --git a/src/rai_hmi/setup.py b/src/rai_hmi/setup.py index 757f8d359..d46cb53ac 100644 --- a/src/rai_hmi/setup.py +++ b/src/rai_hmi/setup.py @@ -34,7 +34,6 @@ tests_require=["pytest"], entry_points={ "console_scripts": [ - "hmi_node = rai_hmi.hmi_node:main", "voice_hmi_node = rai_hmi.voice_hmi:main", ], }, From acb5180c66516e2189e4c49b78ee9b61a3045a78 Mon Sep 17 00:00:00 2001 From: Maciej Majek Date: Thu, 26 Sep 2024 20:03:41 +0200 Subject: [PATCH 12/84] feat(voice_hmi.py): add split_and_publish method to handle message segmentation for improved message processing fix(voice_hmi.py): replace direct message publishing with split_and_publish to ensure messages are sent as individual sentences (reintroduced chunking) --- src/rai_hmi/rai_hmi/voice_hmi.py | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/src/rai_hmi/rai_hmi/voice_hmi.py b/src/rai_hmi/rai_hmi/voice_hmi.py index 09eb1bb54..6c5e94ce6 100644 --- a/src/rai_hmi/rai_hmi/voice_hmi.py +++ b/src/rai_hmi/rai_hmi/voice_hmi.py @@ -14,6 +14,7 @@ # import logging +import re import threading import time from queue import Queue @@ -103,6 +104,12 @@ def __init__( def set_agent(self, agent): self.agent = agent + def split_and_publish(self, message: str): + sentences = re.split(r"(?<=\.)\s|[:!]", message) + for sentence in sentences: + if sentence: + self.hmi_publisher.publish(String(data=sentence)) + def handle_human_message(self, msg: String): self.processing = True self.get_logger().info("Processing started") @@ -118,7 +125,7 @@ def handle_human_message(self, msg: String): self.get_logger().info( f'Sending message to human: "{last_message}"' ) - self.hmi_publisher.publish(String(data=last_message)) + self.split_and_publish(last_message) self.get_logger().info("Processing finished") self.processing = False From be979e4b4d02da656efccada5c6062d809195fe4 Mon Sep 17 00:00:00 2001 From: Maciej Majek Date: Thu, 26 Sep 2024 20:03:56 +0200 Subject: [PATCH 13/84] feat(tts_clients.py): enhance ElevenLabsClient to include voice settings and validate voice existence during initialization fix(tts_clients.py): correct typo in logging message for synthesizing speech error handling --- src/rai_tts/rai_tts/tts_clients.py | 15 +++++++++++++-- 1 file changed, 13 insertions(+), 2 deletions(-) diff --git a/src/rai_tts/rai_tts/tts_clients.py b/src/rai_tts/rai_tts/tts_clients.py index 21974df79..d6c8e925e 100644 --- a/src/rai_tts/rai_tts/tts_clients.py +++ b/src/rai_tts/rai_tts/tts_clients.py @@ -21,6 +21,8 @@ import requests from elevenlabs.client import ElevenLabs +from elevenlabs.types import Voice +from elevenlabs.types.voice_settings import VoiceSettings logger = logging.getLogger(__name__) @@ -46,10 +48,19 @@ def save_audio_to_file(audio_data: bytes, suffix: str) -> str: class ElevenLabsClient(TTSClient): def __init__(self, voice: str, base_url: Optional[str] = None): self.base_url = base_url - self.voice = voice api_key = os.getenv(key="ELEVENLABS_API_KEY") self.client = ElevenLabs(base_url=None, api_key=api_key) + self.voice_settings = VoiceSettings( + stability=0.7, + similarity_boost=0.5, + ) + voices = self.client.voices.get_all().voices + voice_id = next((v.voice_id for v in voices if v.name == voice), None) + if voice_id is None: + raise ValueError(f"Voice {voice} not found") + self.voice = Voice(voice_id=voice_id, settings=self.voice_settings) + def synthesize_speech_to_file(self, text: str) -> str: tries = 0 while tries < TTS_TRIES: @@ -62,7 +73,7 @@ def synthesize_speech_to_file(self, text: str) -> str: audio_data = b"".join(response) return self.save_audio_to_file(audio_data, suffix=".mp3") except Exception as e: - logger.warn(f"Error occurred during sythesizing speech: {e}.") # type: ignore + logger.warn(f"Error occurred during synthesizing speech: {e}.") # type: ignore tries += 1 audio_data = b"".join(response) return self.save_audio_to_file(audio_data, suffix=".mp3") From 1cdcba6f5e9cd346408e8711f60844fb6ac39f98 Mon Sep 17 00:00:00 2001 From: Maciej Majek Date: Fri, 27 Sep 2024 13:01:45 +0200 Subject: [PATCH 14/84] feat: use reliable & keep_all qos settings for hri nodes --- src/rai_asr/rai_asr/asr_node.py | 11 +++++++++-- src/rai_hmi/rai_hmi/voice_hmi.py | 14 +++++++++++--- src/rai_tts/rai_tts/tts_node.py | 11 ++++++++--- 3 files changed, 28 insertions(+), 8 deletions(-) diff --git a/src/rai_asr/rai_asr/asr_node.py b/src/rai_asr/rai_asr/asr_node.py index 4354c2902..7212c3449 100755 --- a/src/rai_asr/rai_asr/asr_node.py +++ b/src/rai_asr/rai_asr/asr_node.py @@ -28,6 +28,7 @@ from rclpy.callback_groups import ReentrantCallbackGroup from rclpy.executors import SingleThreadedExecutor from rclpy.node import Node +from rclpy.qos import DurabilityPolicy, HistoryPolicy, QoSProfile, ReliabilityPolicy from scipy.signal import resample from std_msgs.msg import String @@ -208,8 +209,14 @@ def _initialize_parameters(self): self.get_logger().info("Parameters have been initialized") # type: ignore def _setup_publishers_and_subscribers(self): - - self.transcription_publisher = self.create_publisher(String, "/from_human", 10) + reliable_qos = QoSProfile( + reliability=ReliabilityPolicy.RELIABLE, + durability=DurabilityPolicy.TRANSIENT_LOCAL, + history=HistoryPolicy.KEEP_ALL, + ) + self.transcription_publisher = self.create_publisher( + String, "/from_human", qos_profile=reliable_qos + ) self.status_publisher = self.create_publisher(String, "/asr_status", 10) self.tts_status_subscriber = self.create_subscription( String, diff --git a/src/rai_hmi/rai_hmi/voice_hmi.py b/src/rai_hmi/rai_hmi/voice_hmi.py index 6c5e94ce6..caf70bdfb 100644 --- a/src/rai_hmi/rai_hmi/voice_hmi.py +++ b/src/rai_hmi/rai_hmi/voice_hmi.py @@ -24,6 +24,7 @@ from langchain_core.messages import HumanMessage from rclpy.callback_groups import ReentrantCallbackGroup from rclpy.executors import MultiThreadedExecutor +from rclpy.qos import DurabilityPolicy, HistoryPolicy, QoSProfile, ReliabilityPolicy from std_msgs.msg import String from rai.node import RaiBaseNode @@ -87,15 +88,22 @@ def __init__( super().__init__(node_name, queue, robot_description_package) self.callback_group = ReentrantCallbackGroup() + reliable_qos = QoSProfile( + reliability=ReliabilityPolicy.RELIABLE, + durability=DurabilityPolicy.TRANSIENT_LOCAL, + history=HistoryPolicy.KEEP_ALL, + ) self.hmi_subscription = self.create_subscription( String, "from_human", self.handle_human_message, - 10, + qos_profile=reliable_qos, ) - self.hmi_publisher = self.create_publisher( - String, "to_human", 10, callback_group=self.callback_group + String, + "to_human", + qos_profile=reliable_qos, + callback_group=self.callback_group, ) self.history = [] diff --git a/src/rai_tts/rai_tts/tts_node.py b/src/rai_tts/rai_tts/tts_node.py index c2901ae14..e4946832d 100644 --- a/src/rai_tts/rai_tts/tts_node.py +++ b/src/rai_tts/rai_tts/tts_node.py @@ -22,6 +22,7 @@ import rclpy from rclpy.node import Node +from rclpy.qos import DurabilityPolicy, HistoryPolicy, QoSProfile, ReliabilityPolicy from std_msgs.msg import String from .tts_clients import ElevenLabsClient, OpenTTSClient, TTSClient @@ -42,9 +43,13 @@ def __init__(self): self.declare_parameter("topic", "to_human") topic_param = self.get_parameter("topic").get_parameter_value().string_value # type: ignore - + reliable_qos = QoSProfile( + reliability=ReliabilityPolicy.RELIABLE, + durability=DurabilityPolicy.TRANSIENT_LOCAL, + history=HistoryPolicy.KEEP_ALL, + ) self.subscription = self.create_subscription( # type: ignore - String, topic_param, self.listener_callback, 10 # type: ignore + String, topic_param, self.listener_callback, qos_profile=reliable_qos # type: ignore ) self.playing = False self.status_publisher = self.create_publisher(String, "tts_status", 10) # type: ignore @@ -73,6 +78,7 @@ def listener_callback(self, msg: String): self.get_logger().info( # type: ignore f"Registering new TTS job: {self.job_id} length: {len(msg.data)} chars." # type: ignore ) + self.get_logger().debug(f"The job: {msg.data}") # type: ignore threading.Thread( target=self.start_synthesize_thread, args=(msg, self.job_id) # type: ignore @@ -130,7 +136,6 @@ def _play_audio(self, filepath: str): stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL, ) - self.get_logger().debug(f"Playing audio: {filepath}") # type: ignore self.playing = False def _initialize_client(self) -> TTSClient: From 7bee1f0bea747b6359ebf1d3c5a4c9a4db97a100 Mon Sep 17 00:00:00 2001 From: Maciej Majek Date: Fri, 27 Sep 2024 13:02:12 +0200 Subject: [PATCH 15/84] fix(tts_clients.py): increase TTS_TRIES from 2 to 5 to improve speech synthesis reliability feat(tts_clients.py): add TTS_RETRY_DELAY to introduce a delay between retries for better handling of transient errors --- src/rai_tts/rai_tts/tts_clients.py | 12 ++++++++++-- 1 file changed, 10 insertions(+), 2 deletions(-) diff --git a/src/rai_tts/rai_tts/tts_clients.py b/src/rai_tts/rai_tts/tts_clients.py index d6c8e925e..ea2367bc1 100644 --- a/src/rai_tts/rai_tts/tts_clients.py +++ b/src/rai_tts/rai_tts/tts_clients.py @@ -16,6 +16,7 @@ import logging import os import tempfile +import time from abc import abstractmethod from typing import Optional @@ -26,7 +27,8 @@ logger = logging.getLogger(__name__) -TTS_TRIES = 2 +TTS_TRIES = 5 +TTS_RETRY_DELAY = 0.5 class TTSClient: @@ -75,7 +77,13 @@ def synthesize_speech_to_file(self, text: str) -> str: except Exception as e: logger.warn(f"Error occurred during synthesizing speech: {e}.") # type: ignore tries += 1 - audio_data = b"".join(response) + if tries == TTS_TRIES: + logger.error( + f"Failed to synthesize speech after {TTS_TRIES} tries. Creating empty audio file instead." + ) + time.sleep(TTS_RETRY_DELAY) + + audio_data = b"" return self.save_audio_to_file(audio_data, suffix=".mp3") From 49baec9a767733fbbe64ae2ce4b3bd387ea3cece Mon Sep 17 00:00:00 2001 From: Maciej Majek <46171033+maciejmajek@users.noreply.github.com> Date: Fri, 27 Sep 2024 14:22:54 +0200 Subject: [PATCH 16/84] refactor: decouple default vendor (#248) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-authored-by: Adam Dฤ…browski --- README.md | 7 +++---- docs/create_robots_whoami.md | 6 +----- docs/developer_guide.md | 4 ++-- docs/human_robot_interface.md | 2 +- docs/human_robot_interface/text_interface.md | 5 +---- docs/human_robot_interface/voice_interface.md | 8 ++++---- docs/multimodal_messages.md | 4 ++-- examples/rosbot-xl-generic-node-demo.py | 8 ++++---- src/rai/rai/apps/high_level_api.py | 18 ++++++------------ src/rai/rai/apps/talk_to_docs.py | 4 ++-- src/rai/rai/node.py | 4 ++-- src/rai_hmi/rai_hmi/base.py | 4 ++-- src/rai_whoami/rai_whoami/rai_whoami_node.py | 4 ++-- 13 files changed, 32 insertions(+), 46 deletions(-) diff --git a/README.md b/README.md index b42f15454..7b3db8267 100644 --- a/README.md +++ b/README.md @@ -111,16 +111,15 @@ source ./setup_shell.sh ### 3. Setting up vendors -RAI aims to be vendor-agnostic. You can use the configuration in [config.toml](./config.toml) to set up your vendor of choice for most RAI modules. - -> [!NOTE] -> Some of the RAI modules still are hardcoded to OpenAI models. An effort is underway to make them configurable via [config.toml](./config.toml) file. +RAI is vendor-agnostic. Use the configuration in [config.toml](./config.toml) to set up your vendor of choice for RAI modules. If you do not have a vendor's key, follow the instructions below: **OpenAI:** [link](https://platform.openai.com/docs/quickstart). **AWS Bedrock:** [link](https://console.aws.amazon.com/bedrock/home?#/overview). +Or use a local solution such as Ollama [link](https://ollama.com/download). + Congratulations, your installation is now completed! ## Running RAI diff --git a/docs/create_robots_whoami.md b/docs/create_robots_whoami.md index 944ba74e9..dfe9f1f43 100644 --- a/docs/create_robots_whoami.md +++ b/docs/create_robots_whoami.md @@ -22,17 +22,13 @@ Your robot's `whoami` package serves as a configuration package for the `rai_who 4. Run the `parse_whoami_package`. This will process the documentation, building it into a vector database, which is used by RAI agent to reason about its identity. -> **NOTE**: By default the vector database is created using the OpenAI API. Parsing -> bigger documents might lead to costs. Embedding model can be configured in +> **NOTE**: Parsing bigger documents might lead to costs. Embedding model can be configured in > [config.toml](../config.toml) (`ollama` works locally, see [docs/vendors.md](./vendors.md#ollama)). ```shell poetry run parse_whoami_package src/examples/panda_whoami/description ``` -> [!IMPORTANT] -> For now, this works only if you have OPENAI_API_KEY variable exported. - ## Testing You can test your new `panda_whoami` package by calling `rai_whoami` services: diff --git a/docs/developer_guide.md b/docs/developer_guide.md index c6f8ea56f..c1fff3bc9 100644 --- a/docs/developer_guide.md +++ b/docs/developer_guide.md @@ -83,10 +83,10 @@ Once you have implemented your tools, you can run the agent with these new tools ```python from rai.agents.state_based import create_state_based_agent -from langchain_openai import ChatOpenAI +from rai.utils.model_initialization import get_llm_model from myrobot import robot -llm = ChatOpenAI(model='gpt-4o') # initialize your vendor of choice +llm = get_llm_model(model_type='complex_model') # initialize your vendor of choice in config.toml tools = [pick_up_object, scan_object, SayTool(robot=robot)] agent = create_state_based_agent(llm=llm, state_retriever=state_retriever, tools=tools) agent.invoke({"messages": ["Please pick up an object and scan it."]}) diff --git a/docs/human_robot_interface.md b/docs/human_robot_interface.md index 8e628de87..3f930c6f1 100644 --- a/docs/human_robot_interface.md +++ b/docs/human_robot_interface.md @@ -22,7 +22,7 @@ The general architecture follows the diagram above. Text is captured from the in ![Voice interface](./imgs/HRI_voice_interface.png) -In the voice interface, the input source is a microphone, while the output source is a speaker. The input is processed using the OpenAI [Whisper](https://platform.openai.com/docs/guides/speech-to-text/quickstart) model (cloud-based, paid), while the output can be produced using [OpenTTS](https://github.com/synesthesiam/opentts) (Apache-2.0, depending on the model used) or [ElevenLabs](https://github.com/elevenlabs/elevenlabs-python) (cloud-based, paid). +In the voice interface, the input source is a microphone, while the output source is a speaker. The input is processed using the OpenAI [Whisper](https://platform.openai.com/docs/guides/speech-to-text/quickstart) model (cloud-based, paid) or with the local model, while the output can be produced using [OpenTTS](https://github.com/synesthesiam/opentts) (Apache-2.0, depending on the model used) or [ElevenLabs](https://github.com/elevenlabs/elevenlabs-python) (cloud-based, paid). ### Text Interface diff --git a/docs/human_robot_interface/text_interface.md b/docs/human_robot_interface/text_interface.md index 64b71bc46..fa3183491 100644 --- a/docs/human_robot_interface/text_interface.md +++ b/docs/human_robot_interface/text_interface.md @@ -1,14 +1,11 @@ # Human Robot Interface via Streamlit -> [!IMPORTANT] -> Streamlit interface is based on OpenAI models. It is expected to have OPENAI_API_KEY environment variable populated. - ## Running example When your robot's whoami package is ready, run the following: ```bash -streamlit run src/rai_hmi/rai_hmi/streamlit_hmi_node.py # eg rosbot_xl_whoami +streamlit run src/rai_hmi/rai_hmi/text_hmi.py # eg rosbot_xl_whoami ``` > [!NOTE] diff --git a/docs/human_robot_interface/voice_interface.md b/docs/human_robot_interface/voice_interface.md index 05f684bd3..541ad5c30 100644 --- a/docs/human_robot_interface/voice_interface.md +++ b/docs/human_robot_interface/voice_interface.md @@ -1,7 +1,7 @@ # Human Robot Interface via Voice > [!IMPORTANT] -> RAI_ASR is based on OpenAI Whisper model. It is expected to have OPENAI_API_KEY environment variable populated. +> RAI_ASR supports both local Whisper models and OpenAI Whisper (cloud). When using the cloud version, the OPENAI_API_KEY environment variable must be set with a valid API key. ## Running example @@ -17,12 +17,12 @@ recording_device: The device you want to record with. Check available with: python -c 'import sounddevice as sd; print(sd.query_devices())' ``` -keep_speaker_busy: some speaker may go into low power mode, which may result in truncated speech beginnings. Set to true to play low frequency, low volume noise. +keep_speaker_busy: some speakers may go into low power mode, which may result in truncated speech beginnings. Set to true to play low frequency, low volume noise to prevent sleep mode. ### OpenTTS ```bash -ros2 launch rai_bringup hri.launch.py tts_vendor:=opentts robot_description_package:= recording_device:=0 keep_speaker_busy:=(true|false) +ros2 launch rai_bringup hri.launch.py tts_vendor:=opentts robot_description_package:= recording_device:=0 keep_speaker_busy:=(true|false) asr_vendor:=(whisper|openai) ``` @@ -32,5 +32,5 @@ ros2 launch rai_bringup hri.launch.py tts_vendor:=opentts robot_description_pack ### ElevenLabs ```bash -ros2 launch rai_bringup hri.launch.py robot_description_package:= recording_device:=0 keep_speaker_busy:=(true|false) +ros2 launch rai_bringup hri.launch.py robot_description_package:= recording_device:=0 keep_speaker_busy:=(true|false) asr_vendor:=(whisper|openai) ``` diff --git a/docs/multimodal_messages.md b/docs/multimodal_messages.md index c1ffafa82..ab5b7efea 100644 --- a/docs/multimodal_messages.md +++ b/docs/multimodal_messages.md @@ -18,11 +18,11 @@ Example: ```python from rai.messages import HumanMultimodalMessage, preprocess_image -from langchain_openai.chat_models import ChatOpenAI +from rai.utils.model_initialization import get_llm_model base64_image = preprocess_image('https://raw.githubusercontent.com/RobotecAI/RobotecGPULidar/develop/docs/image/rgl-logo.png') -llm = ChatOpenAI(model="gpt-4o") +llm = get_llm_model(model_type='complex_model') # initialize your vendor of choice in config.toml msg = [HumanMultimodalMessage(content='This is an example', images=[base64_image])] llm.invoke(msg) diff --git a/examples/rosbot-xl-generic-node-demo.py b/examples/rosbot-xl-generic-node-demo.py index b2bbbb614..8c5ba26c7 100644 --- a/examples/rosbot-xl-generic-node-demo.py +++ b/examples/rosbot-xl-generic-node-demo.py @@ -21,7 +21,6 @@ import rclpy.subscription import rclpy.task from langchain.tools.render import render_text_description_and_args -from langchain_openai import ChatOpenAI from rai.agents.state_based import create_state_based_agent from rai.node import RaiNode, describe_ros_image @@ -33,11 +32,12 @@ from rai.tools.ros.native_actions import Ros2RunActionSync from rai.tools.ros.tools import GetOccupancyGridTool from rai.tools.time import WaitForSecondsTool +from rai.utils.model_initialization import get_llm_model def main(): rclpy.init() - llm = ChatOpenAI(model="gpt-4o") + llm = get_llm_model(model_type="complex_model") observe_topics = [ "/camera/camera/color/image_raw", @@ -75,8 +75,8 @@ def main(): SYSTEM_PROMPT = "" node = RaiNode( - llm=ChatOpenAI( - model="gpt-4o-mini" + llm=get_llm_model( + model_type="simple_model" ), # smaller model used to describe the environment observe_topics=observe_topics, observe_postprocessors=observe_postprocessors, diff --git a/src/rai/rai/apps/high_level_api.py b/src/rai/rai/apps/high_level_api.py index 7d7355085..4cfd29b48 100644 --- a/src/rai/rai/apps/high_level_api.py +++ b/src/rai/rai/apps/high_level_api.py @@ -13,35 +13,29 @@ # limitations under the License. # -from typing import List, Literal +from typing import List -from langchain_aws import ChatBedrock from langchain_core.messages import BaseMessage, HumanMessage -from langchain_openai import ChatOpenAI from rai.agents.conversational_agent import create_conversational_agent -from rai.config.models import BEDROCK_MULTIMODAL, OPENAI_MULTIMODAL from rai.tools.ros.cli import ( Ros2ActionTool, Ros2InterfaceTool, Ros2ServiceTool, Ros2TopicTool, ) +from rai.utils.model_initialization import get_llm_model class Agent: - def __init__(self, vendor: Literal["openai", "bedrock"]): - self.vendor = vendor + def __init__(self): self.history: List[BaseMessage] = [] - if vendor == "openai": - self.llm = ChatOpenAI(**OPENAI_MULTIMODAL) - else: - self.llm = ChatBedrock(**BEDROCK_MULTIMODAL) + self.llm = get_llm_model(model_type="complex_model") class ROS2Agent(Agent): - def __init__(self, vendor: Literal["openai", "bedrock"]): - super().__init__(vendor) + def __init__(self): + super().__init__() self.tools = [ Ros2TopicTool(), Ros2InterfaceTool(), diff --git a/src/rai/rai/apps/talk_to_docs.py b/src/rai/rai/apps/talk_to_docs.py index 16dcbc5c3..ba8d0287a 100644 --- a/src/rai/rai/apps/talk_to_docs.py +++ b/src/rai/rai/apps/talk_to_docs.py @@ -26,11 +26,11 @@ from langchain_core.prompts.chat import ChatPromptTemplate from langchain_core.tools import BaseTool from langchain_core.vectorstores import VectorStore -from langchain_openai import OpenAIEmbeddings from langgraph.graph import StateGraph from pydantic import BaseModel, Field from rai.apps.document_loader import ingest_documentation +from rai.utils.model_initialization import get_embeddings_model logging.basicConfig(level=logging.WARN) @@ -62,7 +62,7 @@ class State(TypedDict): def talk_to_docs(documentation_root: str, llm: BaseChatModel): docs = ingest_documentation(documentation_root) - vector_store = FAISS.from_documents(docs, OpenAIEmbeddings()) + vector_store = FAISS.from_documents(docs, get_embeddings_model()) query_docs = QueryDocsTool(vector_store=vector_store, k=3) diff --git a/src/rai/rai/node.py b/src/rai/rai/node.py index 92a60f197..95ee6d34f 100644 --- a/src/rai/rai/node.py +++ b/src/rai/rai/node.py @@ -26,7 +26,6 @@ import rclpy.task import sensor_msgs.msg from langchain_core.messages import HumanMessage, SystemMessage -from langchain_openai import ChatOpenAI from langgraph.graph.graph import CompiledGraph from rclpy.action.graph import get_action_names_and_types from rclpy.action.server import ActionServer, GoalResponse, ServerGoalHandle @@ -44,6 +43,7 @@ from rai.messages.multimodal import HumanMultimodalMessage, MultimodalMessage from rai.tools.ros.utils import convert_ros_img_to_base64, import_message_from_str from rai.tools.utils import wait_for_message +from rai.utils.model_initialization import get_llm_model from rai.utils.ros import NodeDiscovery, RosoutBuffer from rai_interfaces.action import Task as TaskAction @@ -396,7 +396,7 @@ def describe_ros_image( msg: sensor_msgs.msg.Image, ) -> Dict[Literal["camera_image_summary"], str]: PROMPT = """Please describe the image in 2 sentences max 150 chars.""" - small_llm = ChatOpenAI(model="gpt-4o-mini") + small_llm = get_llm_model(model_type="simple_model") base64_image = convert_ros_img_to_base64(msg) llm_msg = HumanMultimodalMessage(content=PROMPT, images=[base64_image]) output = small_llm.invoke([llm_msg]) diff --git a/src/rai_hmi/rai_hmi/base.py b/src/rai_hmi/rai_hmi/base.py index 0bd3850e2..c2193eb8a 100644 --- a/src/rai_hmi/rai_hmi/base.py +++ b/src/rai_hmi/rai_hmi/base.py @@ -22,13 +22,13 @@ from langchain_community.vectorstores import FAISS from langchain_core.documents import Document from langchain_core.tools import BaseTool -from langchain_openai import OpenAIEmbeddings from pydantic import UUID4 from rclpy.action import ActionClient from rclpy.node import Node from std_msgs.msg import String from std_srvs.srv import Trigger +from rai.utils.model_initialization import get_embeddings_model from rai_hmi.chat_msgs import ( MissionAcceptanceMessage, MissionDoneMessage, @@ -200,7 +200,7 @@ def _load_documentation(self) -> Optional[FAISS]: faiss_index = FAISS.load_local( get_package_share_directory(self.robot_description_package) + "/description", - OpenAIEmbeddings(), + get_embeddings_model(), allow_dangerous_deserialization=True, ) self.get_logger().info( diff --git a/src/rai_whoami/rai_whoami/rai_whoami_node.py b/src/rai_whoami/rai_whoami/rai_whoami_node.py index b1db407ea..c82db088b 100644 --- a/src/rai_whoami/rai_whoami/rai_whoami_node.py +++ b/src/rai_whoami/rai_whoami/rai_whoami_node.py @@ -18,7 +18,6 @@ import rclpy from ament_index_python.packages import get_package_share_directory from langchain_community.vectorstores import FAISS -from langchain_openai import OpenAIEmbeddings from rai_interfaces.srv._vector_store_retrieval import ( VectorStoreRetrieval_Request, VectorStoreRetrieval_Response, @@ -28,6 +27,7 @@ from std_srvs.srv import Trigger from std_srvs.srv._trigger import Trigger_Request, Trigger_Response +from rai.utils.model_initialization import get_embeddings_model from rai_interfaces.srv import VectorStoreRetrieval @@ -79,7 +79,7 @@ def _load_documentation(self) -> FAISS: faiss_index = FAISS.load_local( get_package_share_directory(self.robot_description_package) + "/description", - OpenAIEmbeddings(), + get_embeddings_model(), allow_dangerous_deserialization=True, ) return faiss_index From 07659f24d9f0ed710c2a9eb97e7c103ff13e9e01 Mon Sep 17 00:00:00 2001 From: Maciej Majek Date: Sat, 28 Sep 2024 00:20:09 +0200 Subject: [PATCH 17/84] feat: add tracing configuration in config.toml > implement get_tracing_callbacks for system wide use cases fix: proper config parsing --- config.toml | 10 +++++ src/rai/rai/utils/model_initialization.py | 55 ++++++++++++++++++++++- 2 files changed, 64 insertions(+), 1 deletion(-) diff --git a/config.toml b/config.toml index 8f7d462bb..5dd454170 100644 --- a/config.toml +++ b/config.toml @@ -17,3 +17,13 @@ simple_model = "llama3.1" complex_model = "llama3.1:70b" embeddings_model = "llama3.1" base_url = "http://localhost:11434" + +[tracing] +project = "rai" + +[tracing.langfuse] +use_langfuse = false +host = "https://cloud.langfuse.com" + +[tracing.langsmith] +use_langsmith = false diff --git a/src/rai/rai/utils/model_initialization.py b/src/rai/rai/utils/model_initialization.py index bdeede0ca..852a6ec52 100644 --- a/src/rai/rai/utils/model_initialization.py +++ b/src/rai/rai/utils/model_initialization.py @@ -12,10 +12,12 @@ # See the License for the specific language governing permissions and # limitations under the License. +import os from dataclasses import dataclass -from typing import Literal +from typing import List, Literal import tomli +from langchain_core.callbacks.base import BaseCallbackHandler @dataclass @@ -40,12 +42,31 @@ class OllamaConfig(ModelConfig): base_url: str +@dataclass +class LangfuseConfig: + use_langfuse: bool + host: str + + +@dataclass +class LangsmithConfig: + use_langsmith: bool + + +@dataclass +class TracingConfig: + project: str + langfuse: LangfuseConfig + langsmith: LangsmithConfig + + @dataclass class RAIConfig: vendor: VendorConfig aws: AWSConfig openai: ModelConfig ollama: OllamaConfig + tracing: TracingConfig def load_config() -> RAIConfig: @@ -56,6 +77,11 @@ def load_config() -> RAIConfig: aws=AWSConfig(**config_dict["aws"]), openai=ModelConfig(**config_dict["openai"]), ollama=OllamaConfig(**config_dict["ollama"]), + tracing=TracingConfig( + project=config_dict["tracing"]["project"], + langfuse=LangfuseConfig(**config_dict["tracing"]["langfuse"]), + langsmith=LangsmithConfig(**config_dict["tracing"]["langsmith"]), + ), ) @@ -108,3 +134,30 @@ def get_embeddings_model(): ) else: raise ValueError(f"Unknown embeddings vendor: {vendor}") + + +def get_tracing_callbacks() -> List[BaseCallbackHandler]: + config = load_config() + callbacks: List[BaseCallbackHandler] = [] + if config.tracing.langfuse.use_langfuse: + from langfuse.callback import CallbackHandler # type: ignore + + public_key = os.getenv("LANGFUSE_PUBLIC_KEY", None) + secret_key = os.getenv("LANGFUSE_SECRET_KEY", None) + if public_key is None or secret_key is None: + raise ValueError("LANGFUSE_PUBLIC_KEY or LANGFUSE_SECRET_KEY is not set") + + callback = CallbackHandler( + public_key=public_key, + secret_key=secret_key, + host=config.tracing.langfuse.host, + ) + callbacks.append(callback) + + if config.tracing.langsmith.use_langsmith: + os.environ["LANGCHAIN_TRACING_V2"] = "true" + os.environ["LANGCHAIN_PROJECT"] = config.tracing.project + api_key = os.getenv("LANGCHAIN_API_KEY", None) + if api_key is None: + raise ValueError("LANGCHAIN_API_KEY is not set") + return callbacks From 3282d76b8e2509d3aad0a1e1e66910f143853964 Mon Sep 17 00:00:00 2001 From: Maciej Majek Date: Sun, 29 Sep 2024 18:51:54 +0200 Subject: [PATCH 18/84] docs: add tracing documentation MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Apply suggestions from code review Co-authored-by: Adam Dฤ…browski docs: rewrite tracing.md (prioritize open source solution), fix misleading info --- README.md | 1 + docs/developer_guide.md | 1 + docs/tracing.md | 68 +++++++++++++++++++++++++++++++++++++++++ 3 files changed, 70 insertions(+) create mode 100644 docs/tracing.md diff --git a/README.md b/README.md index 7b3db8267..c6dc764eb 100644 --- a/README.md +++ b/README.md @@ -60,6 +60,7 @@ The RAI framework aims to: - [x] Integration with LangChain to abstract vendors and access convenient AI tools. - [x] Tasks in natural language to nav2 goals. - [x] NoMaD integration. +- [x] Tracing. - [ ] Grounded SAM 2 integration. - [ ] Improved Human-Robot Interaction with voice and text. - [ ] SDK for RAI developers. diff --git a/docs/developer_guide.md b/docs/developer_guide.md index c1fff3bc9..7a38aee27 100644 --- a/docs/developer_guide.md +++ b/docs/developer_guide.md @@ -94,6 +94,7 @@ agent.invoke({"messages": ["Please pick up an object and scan it."]}) Additional resources: +- [Tracing](tracing.md) configuration for genAI models and agents. - [Beta demos](demos.md). - [Multimodal Messages](multimodal_messages.md) definition. - Available ROS 2 packages: [ros packages](ros_packages.md). diff --git a/docs/tracing.md b/docs/tracing.md new file mode 100644 index 000000000..01ad852c2 --- /dev/null +++ b/docs/tracing.md @@ -0,0 +1,68 @@ +# Tracing Configuration + +RAI supports tracing capabilities to help monitor and analyze the performance of your AI models, at a minor performance cost. By default, tracing is off. This document outlines how to configure tracing for your RAI project. + +## Configuration + +Tracing configuration is managed through the `config.toml` file. The relevant parameters for tracing are: + +### Project Name + +The `project` field under the `[tracing]` section sets the name for your tracing project. This name will be used to identify your project in the tracing tools. + +> [!NOTE] +> Project name is currently only used by LangSmith. Langfuse will upload traces to the default project. + +### Langfuse (open-source) + +[Langfuse](https://langfuse.com/) is an open-source observability & analytics platform for LLM applications. + +To enable Langfuse tracing: + +1. Set `use_langfuse = true` in the `config.toml` file. +2. Set the `LANGFUSE_PUBLIC_KEY` and `LANGFUSE_SECRET_KEY` environment variables with your Langfuse credentials. +3. Optionally, you can specify a custom Langfuse host by modifying the `host` field under `[tracing.langfuse]`. + +### LangSmith (closed-source, paid) + +[LangSmith](https://www.langchain.com/langsmith) is a platform for debugging, testing, and monitoring LangChain applications. + +To enable LangSmith tracing: + +1. Set `use_langsmith = true` in the `config.toml` file. +2. Set the `LANGCHAIN_API_KEY` environment variable with your LangSmith API key. + +## Usage + +To enable tracing in your RAI application, you need to import the get_tracing_callbacks() function and add it to the configuration when invoking your agent or model. Here's how to do it: + +1. First, import the get_tracing_callbacks() function: + +```python +from rai.utils.model_initialization import get_tracing_callbacks +``` + +2. Then, add it to the configuration when invoking your agent or model: + +```python +response = agent.invoke( + input_dict, + config={"callbacks": get_tracing_callbacks()} +) +``` + +By adding the get_tracing_callbacks() to the config parameter, you enable tracing for that specific invocation. The get_tracing_callbacks() function returns a list of callback handlers based on your configuration in config.toml. + +## Troubleshooting + +If you encounter issues with tracing: + +1. Ensure all required environment variables are set correctly. +2. Check whether tracing is on by checking whether `use_langsmith` or `use_langfuse` flag is set to `true` in `config.toml`. +3. Verify that you have the necessary permissions and valid API keys for the tracing services you're using. +4. Look for any error messages in your application logs related to tracing initialization. + +For more detailed information on using these tracing tools, refer to their respective documentation: + +- [LangSmith Documentation](https://docs.langchain.com/docs/langsmith) +- [Langfuse Documentation](https://langfuse.com/docs) From 30f586c45780d8e3c1bc27d483a622c2b9025663 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Adam=20D=C4=85browski?= Date: Mon, 30 Sep 2024 14:08:34 +0200 Subject: [PATCH 19/84] docs: Added vendor table (#255) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Signed-off-by: Adam Dฤ…browski --- README.md | 20 +++++++++++--------- docs/vendors_overview.md | 13 +++++++++++++ 2 files changed, 24 insertions(+), 9 deletions(-) create mode 100644 docs/vendors_overview.md diff --git a/README.md b/README.md index c6dc764eb..8c0d99bff 100644 --- a/README.md +++ b/README.md @@ -74,7 +74,7 @@ The RAI framework aims to: #### 1.1 Install poetry -Install poetry (1.8+) with the following line: +RAI uses [Poetry](https://python-poetry.org/) for python packaging and dependency management. Install poetry (1.8+) with the following line: ```bash curl -sSL https://install.python-poetry.org | python3 - @@ -113,24 +113,26 @@ source ./setup_shell.sh ### 3. Setting up vendors RAI is vendor-agnostic. Use the configuration in [config.toml](./config.toml) to set up your vendor of choice for RAI modules. +Vendor choices for RAI and our recommendations are summarized in [Vendors Overview](docs/vendors_overview.md). -If you do not have a vendor's key, follow the instructions below: +> We strongly recommend you to use of best-performing AI models to get the most out of RAI! -**OpenAI:** [link](https://platform.openai.com/docs/quickstart). -**AWS Bedrock:** [link](https://console.aws.amazon.com/bedrock/home?#/overview). +Pick your local solution or service provider and follow one of these guides: -Or use a local solution such as Ollama [link](https://ollama.com/download). - -Congratulations, your installation is now completed! +- **[Ollama](https://ollama.com/download)** +- **[OpenAI](https://platform.openai.com/docs/quickstart)** +- **[AWS Bedrock](https://console.aws.amazon.com/bedrock/home?#/overview)** ## Running RAI +You are now ready to run RAI! + ![rosbot-xl-example](./docs/imgs/rosbot-xl-example.gif) You can start by running the following examples: -1. Hello RAI: Interact directly with your ROS 2 environment through an intuitive Streamlit chat interface. -2. Explore the O3DE Husarion ROSbot XL demo and have your robot do tasks defined with natural language. +1. **Hello RAI:** Interact directly with your ROS 2 environment through an intuitive Streamlit chat interface. +2. **O3DE Husarion ROSbot XL demo"** give tasks to a simulated robot using natural language. ### Hello RAI diff --git a/docs/vendors_overview.md b/docs/vendors_overview.md new file mode 100644 index 000000000..ff909d42f --- /dev/null +++ b/docs/vendors_overview.md @@ -0,0 +1,13 @@ +# Vendors Overview + +The table summarizes vendor alternative for core AI service and optional RAI modules: + +| Module | Open source | Alternative | Why to consider alternative? | More information | +| ---------------------------- | ----------- | ----------------------- | ---------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------- | +| AI service | Ollama | OpenAI, Bedrock | Overall performance of the AI model, supported modalities and features | [LangChain models](https://docs.langchain4j.dev/integrations/language-models/) | +| **Optional:** Tracing tool | Langfuse | LangSmith | Better integration with LangChain | [Comparison](https://langfuse.com/faq/all/langsmith-alternative) | +| **Optional:** Text to speech | OpenTTS | ElevenLabs | Arguably, significantly better voice synthesis |
  • [OpenTTS GitHub](https://github.com/synesthesiam/opentts)
  • [RAI voice interface](docs/voice_interface.md)
    • | +| **Optional:** Speech to text | Whisper | OpenAI Whisper (hosted) | When suitable local GPU is not an option |
  • [Whisper GitHub](https://github.com/openai/whisper)
  • [RAI voice interface](docs/voice_interface.md)
    • | + +> Our recommendation, if your environment allows it, is to go with _OpenAI_ _GPT4o_ model, +> _ElevenLabs_ for TTS, locally-hosted _Whisper_, and Langfuse. From 344bba14035c1534f1217e388632858181447474 Mon Sep 17 00:00:00 2001 From: Maciej Majek Date: Mon, 30 Sep 2024 13:46:09 +0200 Subject: [PATCH 20/84] refactor: move ToolRunner to separate file, move artifacts handlers to separate file chore: add license --- src/rai/rai/agents/conversational_agent.py | 2 +- src/rai/rai/agents/state_based.py | 181 +-------------------- src/rai/rai/agents/tool_runner.py | 139 ++++++++++++++++ src/rai/rai/utils/artifacts.py | 52 ++++++ src/rai_hmi/rai_hmi/text_hmi.py | 2 +- 5 files changed, 198 insertions(+), 178 deletions(-) create mode 100644 src/rai/rai/agents/tool_runner.py create mode 100644 src/rai/rai/utils/artifacts.py diff --git a/src/rai/rai/agents/conversational_agent.py b/src/rai/rai/agents/conversational_agent.py index f2b24e101..5cd8a5e6e 100644 --- a/src/rai/rai/agents/conversational_agent.py +++ b/src/rai/rai/agents/conversational_agent.py @@ -24,7 +24,7 @@ from langgraph.prebuilt.tool_node import tools_condition from rclpy.impl.rcutils_logger import RcutilsLogger -from rai.agents.state_based import ToolRunner +from rai.agents.tool_runner import ToolRunner loggers_type = Union[RcutilsLogger, logging.Logger] diff --git a/src/rai/rai/agents/state_based.py b/src/rai/rai/agents/state_based.py index 55b897731..81cadc14d 100644 --- a/src/rai/rai/agents/state_based.py +++ b/src/rai/rai/agents/state_based.py @@ -14,52 +14,24 @@ # -import json import logging -import pickle import time from functools import partial -from pathlib import Path -from typing import ( - Any, - Callable, - Dict, - List, - Literal, - Optional, - Sequence, - TypedDict, - Union, - cast, -) +from typing import Any, Callable, Dict, List, Literal, Optional, TypedDict, Union from langchain.chat_models.base import BaseChatModel from langchain_core.language_models.base import LanguageModelInput -from langchain_core.messages import ( - AIMessage, - AnyMessage, - BaseMessage, - HumanMessage, - SystemMessage, - ToolCall, - ToolMessage, -) -from langchain_core.runnables import Runnable, RunnableConfig -from langchain_core.runnables.config import get_executor_for_config +from langchain_core.messages import AnyMessage, BaseMessage, HumanMessage, SystemMessage +from langchain_core.runnables import Runnable from langchain_core.tools import BaseTool -from langchain_core.tools import tool as create_tool from langgraph.graph import END, START, StateGraph from langgraph.graph.graph import CompiledGraph from langgraph.prebuilt.tool_node import str_output -from langgraph.utils.runnable import RunnableCallable from pydantic import BaseModel, Field, ValidationError from rclpy.impl.rcutils_logger import RcutilsLogger -from rai.messages import ( - HumanMultimodalMessage, - MultimodalArtifact, - ToolMultimodalMessage, -) +from rai.agents.tool_runner import ToolRunner +from rai.messages import HumanMultimodalMessage loggers_type = Union[RcutilsLogger, logging.Logger] @@ -87,149 +59,6 @@ class Report(BaseModel): ) -def get_stored_artifacts( - tool_call_id: str, db_path="artifact_database.pkl" -) -> List[Any]: - # TODO(boczekbartek): refactor - db_path = Path(db_path) - if not db_path.is_file(): - return [] - - with db_path.open("rb") as db: - artifact_database = pickle.load(db) - if tool_call_id in artifact_database: - return artifact_database[tool_call_id] - - return [] - - -def store_artifacts( - tool_call_id: str, artifacts: List[Any], db_path="artifact_database.pkl" -): - # TODO(boczekbartek): refactor - db_path = Path(db_path) - if not db_path.is_file(): - artifact_database = {} - with open("artifact_database.pkl", "wb") as file: - pickle.dump(artifact_database, file) - with open("artifact_database.pkl", "rb") as file: - artifact_database = pickle.load(file) - if tool_call_id not in artifact_database: - artifact_database[tool_call_id] = artifacts - else: - artifact_database[tool_call_id].extend(artifacts) - with open("artifact_database.pkl", "wb") as file: - pickle.dump(artifact_database, file) - - -class ToolRunner(RunnableCallable): - def __init__( - self, - tools: Sequence[Union[BaseTool, Callable]], - *, - name: str = "tools", - tags: Optional[list[str]] = None, - logger: loggers_type, - ) -> None: - super().__init__(self._func, name=name, tags=tags, trace=False) - self.tools_by_name: Dict[str, BaseTool] = {} - for tool_ in tools: - if not isinstance(tool_, BaseTool): - tool_ = create_tool(tool_) - self.tools_by_name[tool_.name] = tool_ - self.logger = logger - - def _func(self, input: dict[str, Any], config: RunnableConfig) -> Any: - config["max_concurrency"] = ( - 1 # TODO(maciejmajek): use better mechanism for task queueing - ) - if messages := input.get("messages", []): - message = messages[-1] - else: - raise ValueError("No message found in input") - - if not isinstance(message, AIMessage): - raise ValueError("Last message is not an AIMessage") - - def run_one(call: ToolCall): - self.logger.info(f"Running tool: {call['name']}") - artifact = None - - try: - output = self.tools_by_name[call["name"]].invoke(call, config) # type: ignore - self.logger.info( - "Tool output (max 100 chars): " + str(output.content[0:100]) - ) - except ValidationError as e: - errors = e.errors() - for error in errors: - error.pop( - "url" - ) # get rid of the https://errors.pydantic.dev/... url - - error_message = f""" - Validation error in tool {call["name"]}: - {e.title} - Number of errors: {e.error_count()} - Errors: - {json.dumps(errors, indent=2)} - """ - self.logger.info(error_message) - output = ToolMessage( - content=error_message, - name=call["name"], - tool_call_id=call["id"], - status="error", - ) - except Exception as e: - self.logger.info(f'Error in "{call["name"]}", error: {e}') - output = ToolMessage( - content=f"Failed to run tool. Error: {e}", - name=call["name"], - tool_call_id=call["id"], - status="error", - ) - - if output.artifact is not None: - artifact = output.artifact - if not isinstance(artifact, dict): - raise ValueError( - "Artifact must be a dictionary with optional keys: 'images', 'audios'" - ) - - artifact = cast(MultimodalArtifact, artifact) - store_artifacts(output.tool_call_id, [artifact]) - - if artifact is not None: # multimodal case - return ToolMultimodalMessage( - content=str_output(output.content), - name=call["name"], - tool_call_id=call["id"], - images=artifact.get("images", []), - audios=artifact.get("audios", []), - ) - - return output - - with get_executor_for_config(config) as executor: - raw_outputs = [*executor.map(run_one, message.tool_calls)] - outputs: List[Any] = [] - for raw_output in raw_outputs: - if isinstance(raw_output, ToolMultimodalMessage): - outputs.extend( - raw_output.postprocess() - ) # openai please allow tool messages with images! - else: - outputs.append(raw_output) - - # because we can't answer an aiMessage with an alternating sequence of tool and human messages - # we sort the messages by type so that the tool messages are sent first - # for more information see implementation of ToolMultimodalMessage.postprocess - outputs.sort(key=lambda x: x.__class__.__name__, reverse=True) - input["messages"].extend(outputs) - return input - - def tools_condition( state: Union[list[AnyMessage], dict[str, Any]], ) -> Literal["tools", "reporter"]: diff --git a/src/rai/rai/agents/tool_runner.py b/src/rai/rai/agents/tool_runner.py new file mode 100644 index 000000000..4522ef7e0 --- /dev/null +++ b/src/rai/rai/agents/tool_runner.py @@ -0,0 +1,139 @@ +# Copyright (C) 2024 Robotec.AI +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + + +import json +import logging +from typing import Any, Callable, Dict, List, Optional, Sequence, Union, cast + +from langchain_core.messages import AIMessage, ToolCall, ToolMessage +from langchain_core.runnables import RunnableConfig +from langchain_core.runnables.config import get_executor_for_config +from langchain_core.tools import BaseTool +from langchain_core.tools import tool as create_tool +from langgraph.prebuilt.tool_node import str_output +from langgraph.utils.runnable import RunnableCallable +from pydantic import ValidationError +from rclpy.impl.rcutils_logger import RcutilsLogger + +from rai.messages import MultimodalArtifact, ToolMultimodalMessage +from rai.utils.artifacts import store_artifacts + + +class ToolRunner(RunnableCallable): + def __init__( + self, + tools: Sequence[Union[BaseTool, Callable]], + *, + name: str = "tools", + tags: Optional[list[str]] = None, + logger: Union[RcutilsLogger, logging.Logger], + ) -> None: + super().__init__(self._func, name=name, tags=tags, trace=False) + self.tools_by_name: Dict[str, BaseTool] = {} + for tool_ in tools: + if not isinstance(tool_, BaseTool): + tool_ = create_tool(tool_) + self.tools_by_name[tool_.name] = tool_ + self.logger = logger + + def _func(self, input: dict[str, Any], config: RunnableConfig) -> Any: + config["max_concurrency"] = ( + 1 # TODO(maciejmajek): use better mechanism for task queueing + ) + if messages := input.get("messages", []): + message = messages[-1] + else: + raise ValueError("No message found in input") + + if not isinstance(message, AIMessage): + raise ValueError("Last message is not an AIMessage") + + def run_one(call: ToolCall): + self.logger.info(f"Running tool: {call['name']}") + artifact = None + + try: + output = self.tools_by_name[call["name"]].invoke(call, config) # type: ignore + self.logger.info( + "Tool output (max 100 chars): " + str(output.content[0:100]) + ) + except ValidationError as e: + errors = e.errors() + for error in errors: + error.pop( + "url" + ) # get rid of the https://errors.pydantic.dev/... url + + error_message = f""" + Validation error in tool {call["name"]}: + {e.title} + Number of errors: {e.error_count()} + Errors: + {json.dumps(errors, indent=2)} + """ + self.logger.info(error_message) + output = ToolMessage( + content=error_message, + name=call["name"], + tool_call_id=call["id"], + status="error", + ) + except Exception as e: + self.logger.info(f'Error in "{call["name"]}", error: {e}') + output = ToolMessage( + content=f"Failed to run tool. Error: {e}", + name=call["name"], + tool_call_id=call["id"], + status="error", + ) + + if output.artifact is not None: + artifact = output.artifact + if not isinstance(artifact, dict): + raise ValueError( + "Artifact must be a dictionary with optional keys: 'images', 'audios'" + ) + + artifact = cast(MultimodalArtifact, artifact) + store_artifacts(output.tool_call_id, [artifact]) + + if artifact is not None: # multimodal case + return ToolMultimodalMessage( + content=str_output(output.content), + name=call["name"], + tool_call_id=call["id"], + images=artifact.get("images", []), + audios=artifact.get("audios", []), + ) + + return output + + with get_executor_for_config(config) as executor: + raw_outputs = [*executor.map(run_one, message.tool_calls)] + outputs: List[Any] = [] + for raw_output in raw_outputs: + if isinstance(raw_output, ToolMultimodalMessage): + outputs.extend( + raw_output.postprocess() + ) # openai please allow tool messages with images! + else: + outputs.append(raw_output) + + # because we can't answer an aiMessage with an alternating sequence of tool and human messages + # we sort the messages by type so that the tool messages are sent first + # for more information see implementation of ToolMultimodalMessage.postprocess + outputs.sort(key=lambda x: x.__class__.__name__, reverse=True) + input["messages"].extend(outputs) + return input diff --git a/src/rai/rai/utils/artifacts.py b/src/rai/rai/utils/artifacts.py new file mode 100644 index 000000000..7aa23fde1 --- /dev/null +++ b/src/rai/rai/utils/artifacts.py @@ -0,0 +1,52 @@ +# Copyright (C) 2024 Robotec.AI +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import pickle +from pathlib import Path +from typing import Any, List + + +def store_artifacts( + tool_call_id: str, artifacts: List[Any], db_path="artifact_database.pkl" +): + # TODO(boczekbartek): refactor + db_path = Path(db_path) + if not db_path.is_file(): + artifact_database = {} + with open("artifact_database.pkl", "wb") as file: + pickle.dump(artifact_database, file) + with open("artifact_database.pkl", "rb") as file: + artifact_database = pickle.load(file) + if tool_call_id not in artifact_database: + artifact_database[tool_call_id] = artifacts + else: + artifact_database[tool_call_id].extend(artifacts) + with open("artifact_database.pkl", "wb") as file: + pickle.dump(artifact_database, file) + + +def get_stored_artifacts( + tool_call_id: str, db_path="artifact_database.pkl" +) -> List[Any]: + # TODO(boczekbartek): refactor + db_path = Path(db_path) + if not db_path.is_file(): + return [] + + with db_path.open("rb") as db: + artifact_database = pickle.load(db) + if tool_call_id in artifact_database: + return artifact_database[tool_call_id] + + return [] diff --git a/src/rai_hmi/rai_hmi/text_hmi.py b/src/rai_hmi/rai_hmi/text_hmi.py index dbcb6b5ce..3be57a6cf 100644 --- a/src/rai_hmi/rai_hmi/text_hmi.py +++ b/src/rai_hmi/rai_hmi/text_hmi.py @@ -35,9 +35,9 @@ from rclpy.node import Node from streamlit.delta_generator import DeltaGenerator -from rai.agents.state_based import get_stored_artifacts from rai.messages import HumanMultimodalMessage from rai.node import RaiBaseNode +from rai.utils.artifacts import get_stored_artifacts from rai_hmi.agent import initialize_agent from rai_hmi.base import BaseHMINode from rai_hmi.chat_msgs import EMOJIS, MissionMessage From 7c1e37b3df6fdbfa321b0a539be806b84f4c95ba Mon Sep 17 00:00:00 2001 From: Maciej Majek Date: Mon, 30 Sep 2024 13:47:53 +0200 Subject: [PATCH 21/84] fix: handle only images and audios keys in ToolRunner artifact handling feature --- src/rai/rai/agents/tool_runner.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/src/rai/rai/agents/tool_runner.py b/src/rai/rai/agents/tool_runner.py index 4522ef7e0..3df453297 100644 --- a/src/rai/rai/agents/tool_runner.py +++ b/src/rai/rai/agents/tool_runner.py @@ -109,7 +109,10 @@ def run_one(call: ToolCall): artifact = cast(MultimodalArtifact, artifact) store_artifacts(output.tool_call_id, [artifact]) - if artifact is not None: # multimodal case + if artifact is not None and ( + len(artifact.get("images", [])) > 0 + or len(artifact.get("audios", [])) > 0 + ): # multimodal case, we currently support images and audios artifacts return ToolMultimodalMessage( content=str_output(output.content), name=call["name"], From 07f97728d7df9bee4b194ed148bad9c5e0c54620 Mon Sep 17 00:00:00 2001 From: Maciej Majek Date: Fri, 27 Sep 2024 21:14:53 +0200 Subject: [PATCH 22/84] feat: implement rai_hmi external api --- src/rai_hmi/rai_hmi/api.py | 63 ++++++++++++++++++++++++++++++++++++++ 1 file changed, 63 insertions(+) create mode 100644 src/rai_hmi/rai_hmi/api.py diff --git a/src/rai_hmi/rai_hmi/api.py b/src/rai_hmi/rai_hmi/api.py new file mode 100644 index 000000000..79a41d479 --- /dev/null +++ b/src/rai_hmi/rai_hmi/api.py @@ -0,0 +1,63 @@ +# Copyright (C) 2024 Robotec.AI +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import re +from abc import abstractmethod +from queue import Queue + +from rclpy.callback_groups import ReentrantCallbackGroup +from rclpy.qos import DurabilityPolicy, HistoryPolicy, QoSProfile, ReliabilityPolicy +from std_msgs.msg import String + +from rai_hmi.base import BaseHMINode + + +def split_message(message: str): + sentences = re.split(r"(?<=\.)\s|[:!]", message) + for sentence in sentences: + if sentence: + yield sentence + + +class GenericVoiceNode(BaseHMINode): + def __init__(self, node_name: str, queue: Queue, robot_description_package: str): + super().__init__(node_name, queue, robot_description_package) + + self.callback_group = ReentrantCallbackGroup() + reliable_qos = QoSProfile( + reliability=ReliabilityPolicy.RELIABLE, + durability=DurabilityPolicy.TRANSIENT_LOCAL, + history=HistoryPolicy.KEEP_ALL, + ) + self.hmi_subscription = self.create_subscription( + String, + "/from_human", + self.handle_human_message, + qos_profile=reliable_qos, + ) + self.hmi_publisher = self.create_publisher( + String, + "/to_human", + qos_profile=reliable_qos, + callback_group=self.callback_group, + ) + + @abstractmethod + def _handle_human_message(self, msg: String): + pass + + def handle_human_message(self, msg: String): + self.processing = True + self._handle_human_message(msg) + self.processing = False From dc6c58c2f18ea965491098292648d8f3a9d4069c Mon Sep 17 00:00:00 2001 From: Maciej Majek Date: Fri, 27 Sep 2024 21:16:27 +0200 Subject: [PATCH 23/84] feat: implement voice only bringup launchfile --- src/rai_bringup/launch/voice.launch.py | 81 ++++++++++++++++++++++++++ 1 file changed, 81 insertions(+) create mode 100644 src/rai_bringup/launch/voice.launch.py diff --git a/src/rai_bringup/launch/voice.launch.py b/src/rai_bringup/launch/voice.launch.py new file mode 100644 index 000000000..70338a539 --- /dev/null +++ b/src/rai_bringup/launch/voice.launch.py @@ -0,0 +1,81 @@ +# Copyright (C) 2024 Robotec.AI +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +from launch import LaunchDescription +from launch.actions import ( + DeclareLaunchArgument, + IncludeLaunchDescription, + OpaqueFunction, +) +from launch.launch_description_sources import PythonLaunchDescriptionSource +from launch.substitutions import LaunchConfiguration +from launch_ros.substitutions import FindPackageShare + + +def include_tts_launch(context, *args, **kwargs): + tts_vendor = LaunchConfiguration("tts_vendor").perform(context) + if tts_vendor == "opentts": + launch_file = "opentts.launch.py" + else: + launch_file = "elevenlabs.launch.py" + + return [ + IncludeLaunchDescription( + PythonLaunchDescriptionSource( + [FindPackageShare("rai_tts"), f"/launch/{launch_file}"] + ) + ) + ] + + +def include_asr_launch(context, *args, **kwargs): + asr_vendor = LaunchConfiguration("asr_vendor").perform(context) + if asr_vendor == "openai": + launch_file = "openai.launch.py" + else: + launch_file = "local.launch.py" + + return [ + IncludeLaunchDescription( + PythonLaunchDescriptionSource( + [FindPackageShare("rai_asr"), f"/launch/{launch_file}"] + ) + ) + ] + + +def generate_launch_description(): + tts_vendor_arg = DeclareLaunchArgument( + "tts_vendor", + default_value="elevenlabs", + description="TTS vendor to use (opentts or elevenlabs)", + ) + asr_vendor_arg = DeclareLaunchArgument( + "asr_vendor", + default_value="local", + description="ASR vendor to use (openai or whisper)", + ) + + tts_launch_inclusion = OpaqueFunction(function=include_tts_launch) + asr_launch_inclusion = OpaqueFunction(function=include_asr_launch) + + return LaunchDescription( + [ + tts_vendor_arg, + asr_vendor_arg, + tts_launch_inclusion, + asr_launch_inclusion, + ] + ) From 1d49cae96d982f86a06b88d52004274e256ddba6 Mon Sep 17 00:00:00 2001 From: Maciej Majek <46171033+maciejmajek@users.noreply.github.com> Date: Mon, 30 Sep 2024 15:06:56 +0200 Subject: [PATCH 24/84] feat: insert system prompt when not present (#259) --- src/rai/rai/agents/conversational_agent.py | 14 +++++++++----- 1 file changed, 9 insertions(+), 5 deletions(-) diff --git a/src/rai/rai/agents/conversational_agent.py b/src/rai/rai/agents/conversational_agent.py index 5cd8a5e6e..06d32b326 100644 --- a/src/rai/rai/agents/conversational_agent.py +++ b/src/rai/rai/agents/conversational_agent.py @@ -35,11 +35,15 @@ class State(TypedDict): def agent(llm: BaseChatModel, logger: loggers_type, system_prompt: str, state: State): logger.info("Running thinker") - prompt = ( - system_prompt - + "\nYour main task is to converse with the user and fulfill their requests using available tooling. " - ) - ai_msg = llm.invoke([SystemMessage(content=prompt)] + state["messages"]) + + # If there are no messages, do nothing + if len(state["messages"]) == 0: + return state + + # Insert system message if not already present + if not isinstance(state["messages"][0], SystemMessage): + state["messages"].insert(0, SystemMessage(content=system_prompt)) + ai_msg = llm.invoke(state["messages"]) state["messages"].append(ai_msg) return state From 93e0c56cea69918345e302222f81d019e20a29db Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" <41898282+github-actions[bot]@users.noreply.github.com> Date: Mon, 30 Sep 2024 16:45:35 +0200 Subject: [PATCH 25/84] Update poetry dependencies (#254) Co-authored-by: maciejmajek <46171033+maciejmajek@users.noreply.github.com> Co-authored-by: Maciej Majek --- poetry.lock | 1179 +++++++++++++++-------------- src/rai/rai/agents/state_based.py | 4 +- src/rai/rai/agents/tool_runner.py | 4 +- 3 files changed, 605 insertions(+), 582 deletions(-) diff --git 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100644 --- a/src/rai/rai/agents/state_based.py +++ b/src/rai/rai/agents/state_based.py @@ -26,7 +26,7 @@ from langchain_core.tools import BaseTool from langgraph.graph import END, START, StateGraph from langgraph.graph.graph import CompiledGraph -from langgraph.prebuilt.tool_node import str_output +from langgraph.prebuilt.tool_node import msg_content_output from pydantic import BaseModel, Field, ValidationError from rclpy.impl.rcutils_logger import RcutilsLogger @@ -142,7 +142,7 @@ def retriever_wrapper( images = retrieved_info.pop("images", []) audios = retrieved_info.pop("audios", []) - info = str_output(retrieved_info) + info = msg_content_output(retrieved_info) state["messages"].append( HumanMultimodalMessage( content=f"Retrieved state: {info}", images=images, audios=audios diff --git a/src/rai/rai/agents/tool_runner.py b/src/rai/rai/agents/tool_runner.py index 3df453297..9845ea543 100644 --- a/src/rai/rai/agents/tool_runner.py +++ b/src/rai/rai/agents/tool_runner.py @@ -22,7 +22,7 @@ from langchain_core.runnables.config import get_executor_for_config from langchain_core.tools import BaseTool from langchain_core.tools import tool as create_tool -from langgraph.prebuilt.tool_node import str_output +from langgraph.prebuilt.tool_node import msg_content_output from langgraph.utils.runnable import RunnableCallable from pydantic import ValidationError from rclpy.impl.rcutils_logger import RcutilsLogger @@ -114,7 +114,7 @@ def run_one(call: ToolCall): or len(artifact.get("audios", [])) > 0 ): # multimodal case, we currently support images and audios artifacts return ToolMultimodalMessage( - content=str_output(output.content), + content=msg_content_output(output.content), name=call["name"], tool_call_id=call["id"], images=artifact.get("images", []), From 0019055e4353547bc2665a9ee9108e6b6f210925 Mon Sep 17 00:00:00 2001 From: Maciej Majek Date: Tue, 1 Oct 2024 15:05:08 +0200 Subject: [PATCH 26/84] feat: implement urdf parsing in rai_cli --- src/rai/rai/cli/rai_cli.py | 43 ++++++++++++++++++++++++++++++++++++-- 1 file changed, 41 insertions(+), 2 deletions(-) diff --git a/src/rai/rai/cli/rai_cli.py b/src/rai/rai/cli/rai_cli.py index a185fab12..e302ca0c0 100644 --- a/src/rai/rai/cli/rai_cli.py +++ b/src/rai/rai/cli/rai_cli.py @@ -21,7 +21,7 @@ import coloredlogs from langchain_community.vectorstores import FAISS -from langchain_core.messages import SystemMessage +from langchain_core.messages import HumanMessage, SystemMessage from rai.apps.talk_to_docs import ingest_documentation from rai.messages import preprocess_image @@ -35,7 +35,7 @@ def parse_whoami_package(): parser = argparse.ArgumentParser( - description="Parse robot whoami package. Script builds a vector store and creates a robot identity." + description="Parse robot whoami package. Script builds a vector store, creates a robot identity and a URDF description." ) parser.add_argument( "documentation_root", type=str, help="Path to the root of the documentation" @@ -53,6 +53,33 @@ def parse_whoami_package(): llm = get_llm_model(model_type="simple_model") embeddings_model = get_embeddings_model() + def calculate_urdf_tokens(): + combined_urdf = "" + xacro_files = glob.glob(args.documentation_root + "/urdf/*.xacro") + for xacro_file in xacro_files: + combined_urdf += f"# {xacro_file}\n" + combined_urdf += open(xacro_file, "r").read() + combined_urdf += "\n\n" + return len(combined_urdf) / 4 + + def build_urdf_description(): + logger.info("Building the URDF description...") + combined_urdf = "" + xacro_files = glob.glob(args.documentation_root + "/urdf/*.xacro") + for xacro_file in xacro_files: + combined_urdf += f"# {xacro_file}\n" + combined_urdf += open(xacro_file, "r").read() + combined_urdf += "\n\n" + + prompt = "You will be given a URDF file. Your task is to create a short and detailed description of links and joints. " + parsed_urdf = llm.invoke( + [SystemMessage(content=prompt), HumanMessage(content=str(combined_urdf))] + ).content + + with open(save_dir + "/robot_description.urdf.txt", "w") as f: + f.write(parsed_urdf) + logger.info("Done") + def build_docs_vector_store(): logger.info("Building the robot docs vector store...") faiss_index = FAISS.from_documents(docs, embeddings_model) @@ -115,6 +142,18 @@ def build_robot_identity(): f"You can do it manually by creating {save_dir}/robot_identity.txt" ) + logger.info( + f"Building the URDF description. The urdf's length is {calculate_urdf_tokens()} tokens" + ) + logger.warn("Do you want to continue? (y/n)") + if input() == "y": + build_urdf_description() + else: + logger.info( + f"Skipping the URDF description creation. " + f"You can do it manually by creating {save_dir}/robot_description.urdf.txt" + ) + def create_rai_ws(): parser = argparse.ArgumentParser(description="Creation of a robot package.") From da607a9fd8b7d19d4d899269a18c26263db00f9c Mon Sep 17 00:00:00 2001 From: Maciej Majek Date: Tue, 1 Oct 2024 15:05:44 +0200 Subject: [PATCH 27/84] feat: serve urdf description in rai_whoami --- src/rai_whoami/rai_whoami/rai_whoami_node.py | 20 ++++++++++++++++++++ 1 file changed, 20 insertions(+) diff --git a/src/rai_whoami/rai_whoami/rai_whoami_node.py b/src/rai_whoami/rai_whoami/rai_whoami_node.py index c82db088b..ca5de21a5 100644 --- a/src/rai_whoami/rai_whoami/rai_whoami_node.py +++ b/src/rai_whoami/rai_whoami/rai_whoami_node.py @@ -53,6 +53,11 @@ def __init__(self): "rai_whoami_identity_service", self.get_identity_callback, ) + self.srv = self.create_service( + Trigger, + "rai_whoami_urdf_service", + self.get_urdf_callback, + ) # parse robot_description_package path self.robot_description_package = ( @@ -84,6 +89,21 @@ def _load_documentation(self) -> FAISS: ) return faiss_index + def get_urdf_callback( + self, request: Trigger_Request, response: Trigger_Response + ) -> Trigger_Response: + """Return URDF description""" + urdf_path = ( + get_package_share_directory(self.robot_description_package) + + "/description/robot_description.urdf.txt" + ) + with open(urdf_path, "r") as f: + urdf = f.read() + response.message = urdf + response.success = True + self.get_logger().info("Incoming request for URDF description, responding") + return response + def get_constitution_callback( self, request: Trigger_Request, response: Trigger_Response ) -> Trigger_Response: From fe15f7cb4a803143ce08c3f2d4599ead81378a3b Mon Sep 17 00:00:00 2001 From: Maciej Majek Date: Tue, 1 Oct 2024 15:06:11 +0200 Subject: [PATCH 28/84] docs: update info about new feature --- docs/create_robots_whoami.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/docs/create_robots_whoami.md b/docs/create_robots_whoami.md index dfe9f1f43..08a2946f2 100644 --- a/docs/create_robots_whoami.md +++ b/docs/create_robots_whoami.md @@ -19,6 +19,7 @@ Your robot's `whoami` package serves as a configuration package for the `rai_who 3. Fill in the `src/examples/panda_whoami/description` folder with data:\ 2.1 Save [this image](https://robodk.com/robot/img/Franka-Emika-Panda-robot.png) into `src/examples/panda_whoami/description/images`\ 2.2 Save [this document](https://github.com/user-attachments/files/16417196/Franka.Emika.Panda.robot.-.RoboDK.pdf) in `src/examples/panda_whoami/description/documentation` + 2.3 Save [this urdf](https://github.com/frankaemika/franka_ros/blob/develop/franka_description/robots/panda/panda.urdf.xacro) in `src/examples/panda_whoami/description/urdf` 4. Run the `parse_whoami_package`. This will process the documentation, building it into a vector database, which is used by RAI agent to reason about its identity. @@ -46,6 +47,7 @@ ros2 run rai_whoami rai_whoami_node --ros-args -p robot_description_package:="pa ros2 service call /rai_whoami_identity_service std_srvs/srv/Trigger # ask for identity ros2 service call /rai_whoami_selfimages_service std_srvs/srv/Trigger # ask for images folder ros2 service call /rai_whoami_constitution_service std_srvs/srv/Trigger # ask for robot constitution +ros2 service call /rai_whoami_urdf_service std_srvs/srv/Trigger # ask for urdf description ros2 service call /rai_whoami_documentation_service rai_interfaces/srv/VectorStoreRetrieval "query: 'maximum load'" # ask for Panda's maximum load ``` From 354d48036a65f6649244b07e09f36911273527e8 Mon Sep 17 00:00:00 2001 From: Mateusz Skrobek <36864435+skrobinho@users.noreply.github.com> Date: Thu, 3 Oct 2024 11:43:46 +0200 Subject: [PATCH 29/84] CI: update to self-hosted runner (#245) --- .github/workflows/poetry-test.yml | 23 +++++++++++++++++------ 1 file changed, 17 insertions(+), 6 deletions(-) diff --git a/.github/workflows/poetry-test.yml b/.github/workflows/poetry-test.yml index cd4a43e18..374624d40 100644 --- a/.github/workflows/poetry-test.yml +++ b/.github/workflows/poetry-test.yml @@ -9,19 +9,30 @@ on: jobs: build-and-test-ros2: if: github.event.pull_request.draft == false + + runs-on: + - self-hosted + - ${{ matrix.ros_distro }} + + continue-on-error: true + strategy: matrix: - include: - - ros_distro: jazzy - ubuntu_version: "24.04" - - ros_distro: humble - ubuntu_version: "22.04" - runs-on: ubuntu-${{ matrix.ubuntu_version }} + ros_distro: + - jazzy + - humble container: image: osrf/ros:${{ matrix.ros_distro }}-desktop-full steps: + - name: Clean up workspace + run: | + ls -la $GITHUB_WORKSPACE + rm -rf $GITHUB_WORKSPACE/* || true + rm -rf $GITHUB_WORKSPACE/.??* || true + ls -la $GITHUB_WORKSPACE + - uses: actions/checkout@v4 - name: Install Poetry From 399406e2d3f4b4611705762c6ee4035a42db75c6 Mon Sep 17 00:00:00 2001 From: Maciej Majek <46171033+maciejmajek@users.noreply.github.com> Date: Thu, 3 Oct 2024 12:38:09 +0200 Subject: [PATCH 30/84] feat: taxi demo (#250) --- examples/taxi-demo.py | 92 +++++++++++++++++++++++++++++++++++++++++++ poetry.lock | 69 +++++++++++++++++++------------- pyproject.toml | 1 + 3 files changed, 134 insertions(+), 28 deletions(-) create mode 100644 examples/taxi-demo.py diff --git a/examples/taxi-demo.py b/examples/taxi-demo.py new file mode 100644 index 000000000..1d78dfc7e --- /dev/null +++ b/examples/taxi-demo.py @@ -0,0 +1,92 @@ +# Copyright (C) 2024 Robotec.AI +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from queue import Queue +from typing import List + +import rclpy +from langchain_community.tools import GooglePlacesTool +from langchain_community.tools.tavily_search import TavilySearchResults +from langchain_core.messages import BaseMessage, HumanMessage +from langchain_core.tools import tool +from std_msgs.msg import String + +from rai.agents.conversational_agent import create_conversational_agent +from rai.utils.model_initialization import get_llm_model, get_tracing_callbacks +from rai_hmi.api import GenericVoiceNode, split_message + + +@tool +def navigate(street: str, number: int, city: str, country: str) -> str: + """ + Send the destination to the navigation system. + """ + return f"Navigating to {street} {number}, {city}, {country}" + + +system_prompt = """ +**System Role: Taxi Driver in Warsaw** + +- **User Instructions**: You will be provided with a destination by the user, which may either be a specific place or an address. Sometimes, the user might describe the destination in a way that isn't clearly a place or address. + +- **Clarifying the Destination**: If the destination isn't immediately clear, your task is to ask clarifying questions to determine where the user wants to go. Once confirmed, ensure you obtain the exact address (including street name, number, etc.) to send to the navigation system. + +- **Location Context**: You are based in Warsaw, Poland, and your communication with the user must always be in English. + +- **Tools**: + - **tavily_search_results_json**: Use this tool to find an address when the user provides a non-specific description of a destination. + - **navigate**: Once the exact address is confirmed, use this to send the destination to the navigation system. + - **google_places**: Use this tool to search for specific places, businesses, or landmarks based on user descriptions. It can help if the user mentions popular destinations or well-known places in Warsaw. + +- **Communication Style**: Be friendly, helpful, and concise. While you may receive greetings or unrelated questions, keep the conversation focused on resolving the user's destination. + +- **Key Directives**: + - Do not guess or assume information; rely on tools to obtain any needed details. + - Your primary goal is to successfully navigate to the destination provided by the user. + - If you are sure about the destination, please try to resolve without additional interaction with the client. +""" + + +class TaxiDemo(GenericVoiceNode): + def __init__(self): + super().__init__("taxi_demo_node", Queue(), "") + + self.agent = create_conversational_agent( + get_llm_model("complex_model"), + [navigate, GooglePlacesTool(), TavilySearchResults()], + system_prompt, + logger=self.get_logger(), + ) + + self.history: List[BaseMessage] = [] + + def _handle_human_message(self, msg: String): + self.history.append(HumanMessage(content=msg.data)) + response = self.agent.invoke( + {"messages": self.history}, config={"callbacks": get_tracing_callbacks()} + ) + last_message = response["messages"][-1].content + for sentence in split_message(last_message): + self.hmi_publisher.publish(String(data=sentence)) + + +def main(): + rclpy.init() + node = TaxiDemo() + rclpy.spin(node) + rclpy.shutdown() + + +if __name__ == "__main__": + main() diff --git a/poetry.lock b/poetry.lock index 57ea6ad09..6d6078b33 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. [[package]] name = "absl-py" @@ -55,13 +55,13 @@ files = [ [[package]] name = "aiohappyeyeballs" -version = "2.4.2" +version = "2.4.3" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.8" files = [ - {file = "aiohappyeyeballs-2.4.2-py3-none-any.whl", hash = "sha256:8522691d9a154ba1145b157d6d5c15e5c692527ce6a53c5e5f9876977f6dab2f"}, - {file = "aiohappyeyeballs-2.4.2.tar.gz", hash = "sha256:4ca893e6c5c1f5bf3888b04cb5a3bee24995398efef6e0b9f747b5e89d84fd74"}, + {file = "aiohappyeyeballs-2.4.3-py3-none-any.whl", hash = "sha256:8a7a83727b2756f394ab2895ea0765a0a8c475e3c71e98d43d76f22b4b435572"}, + {file = "aiohappyeyeballs-2.4.3.tar.gz", hash = "sha256:75cf88a15106a5002a8eb1dab212525c00d1f4c0fa96e551c9fbe6f09a621586"}, ] [[package]] @@ -455,17 +455,17 @@ files = [ [[package]] name = "boto3" -version = "1.35.29" +version = "1.35.30" description = "The AWS SDK for Python" optional = false python-versions = ">=3.8" files = [ - {file = "boto3-1.35.29-py3-none-any.whl", hash = "sha256:2244044cdfa8ac345d7400536dc15a4824835e7ec5c55bc267e118af66bb27db"}, - {file = "boto3-1.35.29.tar.gz", hash = "sha256:7bbb1ee649e09e956952285782cfdebd7e81fc78384f48dfab3d66c6eaf3f63f"}, + {file = "boto3-1.35.30-py3-none-any.whl", hash = "sha256:d89c3459db89c5408e83219ab849ffd0146bc4285e75cdc67c6e45d390a12df2"}, + {file = "boto3-1.35.30.tar.gz", hash = "sha256:d2851aec8e9dc6937977acbe9a5124ecc31b3ad5f50a10cd9ae52636da3f52fa"}, ] [package.dependencies] -botocore = ">=1.35.29,<1.36.0" +botocore = ">=1.35.30,<1.36.0" jmespath = ">=0.7.1,<2.0.0" s3transfer = ">=0.10.0,<0.11.0" @@ -474,13 +474,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"] [[package]] name = "botocore" -version = "1.35.29" +version = "1.35.30" description = "Low-level, data-driven core of boto 3." optional = false python-versions = ">=3.8" files = [ - {file = "botocore-1.35.29-py3-none-any.whl", hash = "sha256:f8e3ae0d84214eff3fb69cb4dc51cea6c43d3bde82027a94d00c52b941d6c3d5"}, - {file = "botocore-1.35.29.tar.gz", hash = "sha256:4ed28ab03675bb008a290c452c5ddd7aaa5d4e3fa1912aadbdf93057ee84362b"}, + {file = "botocore-1.35.30-py3-none-any.whl", hash = "sha256:3bb9f9dde001608671ea74681ac3cec06bbbb10cba8cb8c1387a25e843075ce0"}, + {file = "botocore-1.35.30.tar.gz", hash = "sha256:ab5350e8a50e48d371fa2d517d65c29a40c43788cb9a15387f93eac5a23df0fd"}, ] [package.dependencies] @@ -1766,6 +1766,19 @@ protobuf = ">=3.20.2,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4 [package.extras] grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"] +[[package]] +name = "googlemaps" +version = "4.10.0" +description = "Python client library for Google Maps Platform" +optional = false +python-versions = ">=3.5" +files = [ + {file = "googlemaps-4.10.0.tar.gz", hash = "sha256:3055fcbb1aa262a9159b589b5e6af762b10e80634ae11c59495bd44867e47d88"}, +] + +[package.dependencies] +requests = ">=2.20.0,<3.0" + [[package]] name = "greenlet" version = "3.1.1" @@ -2754,8 +2767,8 @@ langchain-core = ">=0.3.6,<0.4.0" langchain-text-splitters = ">=0.3.0,<0.4.0" langsmith = ">=0.1.17,<0.2.0" numpy = [ - {version = ">=1,<2", markers = "python_version < \"3.12\""}, {version = ">=1.26.0,<2.0.0", markers = "python_version >= \"3.12\""}, + {version = ">=1,<2", markers = "python_version < \"3.12\""}, ] pydantic = ">=2.7.4,<3.0.0" PyYAML = ">=5.3" @@ -2778,8 +2791,8 @@ files = [ boto3 = ">=1.34.131" langchain-core = ">=0.3.2,<0.4" numpy = [ - {version = ">=1,<2", markers = "python_version < \"3.12\""}, {version = ">=1.26.0,<2.0.0", markers = "python_version >= \"3.12\""}, + {version = ">=1,<2", markers = "python_version < \"3.12\""}, ] pydantic = ">=2,<3" @@ -2801,8 +2814,8 @@ langchain = ">=0.3.1,<0.4.0" langchain-core = ">=0.3.6,<0.4.0" langsmith = ">=0.1.125,<0.2.0" numpy = [ - {version = ">=1,<2", markers = "python_version < \"3.12\""}, {version = ">=1.26.0,<2.0.0", markers = "python_version >= \"3.12\""}, + {version = ">=1,<2", markers = "python_version < \"3.12\""}, ] pydantic-settings = ">=2.4.0,<3.0.0" PyYAML = ">=5.3" @@ -2812,13 +2825,13 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0" [[package]] name = "langchain-core" -version = "0.3.6" +version = "0.3.7" description = "Building applications with LLMs through composability" optional = false python-versions = "<4.0,>=3.9" files = [ - {file = "langchain_core-0.3.6-py3-none-any.whl", hash = "sha256:7bb3df0117bdc628b18b6c8748de72c6f537d745d47566053ce6650d5712281c"}, - {file = "langchain_core-0.3.6.tar.gz", hash = "sha256:eb190494a5483f1965f693bb2085edb523370b20fc52dc294d3bd425773cd076"}, + {file = "langchain_core-0.3.7-py3-none-any.whl", hash = "sha256:a789875358001ca9293875c12f0b6238855325621ab66775109497b9b1648157"}, + {file = "langchain_core-0.3.7.tar.gz", hash = "sha256:9f877c00fec7fe1dca929dd3bed3999ee4c2e5c14c6744ed82cc66ddfcd15fdf"}, ] [package.dependencies] @@ -2905,28 +2918,28 @@ openai = ["openai (>=0.27.8)"] [[package]] name = "langgraph" -version = "0.2.28" +version = "0.2.31" description = "Building stateful, multi-actor applications with LLMs" optional = false python-versions = "<4.0,>=3.9.0" files = [ - {file = "langgraph-0.2.28-py3-none-any.whl", hash = "sha256:23390763c025139f71dc1f1576b31b6755fecff8dcc51a84505e24e63ec1218b"}, - {file = "langgraph-0.2.28.tar.gz", hash = "sha256:c968a1ed85025e0651d9390a7ba978447ab80d676f81dd0a049a7456754b3bce"}, + {file = "langgraph-0.2.31-py3-none-any.whl", hash = "sha256:9e5b4138aae95bfbd928b6f0f2869431060c80d7a62fc831370cf2aed3a488e8"}, + {file = "langgraph-0.2.31.tar.gz", hash = "sha256:78759ebd8abcabb1894cf64e07d221a11b970e77553a4f89e1134c3602958341"}, ] [package.dependencies] langchain-core = ">=0.2.39,<0.4" -langgraph-checkpoint = ">=1.0.2,<2.0.0" +langgraph-checkpoint = ">=1.0.14,<2.0.0" [[package]] name = "langgraph-checkpoint" -version = "1.0.12" +version = "1.0.14" description = "Library with base interfaces for LangGraph checkpoint savers." optional = false python-versions = "<4.0.0,>=3.9.0" files = [ - {file = "langgraph_checkpoint-1.0.12-py3-none-any.whl", hash = "sha256:44fc464c82ecb643a69b1c394080c54c63969798e0c538b763bbab67911b6e21"}, - {file = "langgraph_checkpoint-1.0.12.tar.gz", hash = "sha256:a8bdcf3a39a45193f009dd2a6ebaf637dbaeb50f1b88a66b151d9ab8c5b41d21"}, + {file = "langgraph_checkpoint-1.0.14-py3-none-any.whl", hash = "sha256:a60cbf06011a5f9c9bfcde971684732acd5df39632c58ff45f02f814519e9d8c"}, + {file = "langgraph_checkpoint-1.0.14.tar.gz", hash = "sha256:5c51f8d8cca4c0ed3e75c264a7bf66a2efa60ff521ed46f05facf606df424eb1"}, ] [package.dependencies] @@ -4131,10 +4144,10 @@ files = [ [package.dependencies] numpy = [ + {version = ">=1.26.0", markers = "python_version >= \"3.12\""}, {version = ">=1.23.5", markers = "python_version >= \"3.11\" and python_version < \"3.12\""}, {version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\" and python_version < \"3.11\""}, {version = ">=1.21.2", markers = "platform_system != \"Darwin\" and python_version >= \"3.10\" and python_version < \"3.11\""}, - {version = ">=1.26.0", markers = "python_version >= \"3.12\""}, ] [[package]] @@ -4155,10 +4168,10 @@ files = [ [package.dependencies] numpy = [ + {version = ">=1.26.0", markers = "python_version >= \"3.12\""}, {version = ">=1.23.5", markers = "python_version >= \"3.11\" and python_version < \"3.12\""}, {version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\" and python_version < \"3.11\""}, {version = ">=1.21.2", markers = "platform_system != \"Darwin\" and python_version >= \"3.10\" and python_version < \"3.11\""}, - {version = ">=1.26.0", markers = "python_version >= \"3.12\""}, ] [[package]] @@ -4344,9 +4357,9 @@ files = [ [package.dependencies] numpy = [ + {version = ">=1.26.0", markers = "python_version >= \"3.12\""}, {version = ">=1.23.2", markers = "python_version == \"3.11\""}, {version = ">=1.22.4", markers = "python_version < \"3.11\""}, - {version = ">=1.26.0", markers = "python_version >= \"3.12\""}, ] python-dateutil = ">=2.8.2" pytz = ">=2020.1" @@ -8089,4 +8102,4 @@ type = ["pytest-mypy"] [metadata] lock-version = "2.0" python-versions = "^3.10, <3.13" -content-hash = "a893846f73b481b6386f2ef9950a72b546a77d37b7418997202d746ede8d5932" +content-hash = "7c4152d060193b6cc8006aeb74ed228de410aaa1fcd960859fb39a110917ffc0" diff --git a/pyproject.toml b/pyproject.toml index dc57f3bea..6ab229ebc 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -45,6 +45,7 @@ faiss-cpu = "^1.8.0.post1" rich = "^13.7.1" docx2txt = "^0.8" pypdf = "^4.2.0" +googlemaps = "^4.0" streamlit = "^1.37.1" deprecated = "^1.2.14" From 7b5e31cf3a6e78d40f61d6eec670f343b232e39a Mon Sep 17 00:00:00 2001 From: rachwalk Date: Wed, 25 Sep 2024 17:23:46 +0200 Subject: [PATCH 31/84] feat: add a segmentation mechanism to rai_open_set_vision --- docs/ros_packages.md | 16 ++-- poetry.lock | 30 ++++++- pyproject.toml | 6 +- .../rai_grounding_dino/setup.cfg | 6 -- .../.gitignore | 0 .../README.md | 14 ++-- .../images/sample.jpg | Bin .../launch/example_communication_launch.xml | 6 +- .../launch/gdino_launch.xml | 2 +- .../package.xml | 6 +- .../rai_open_set_vision}/NOTICE | 0 .../rai_open_set_vision}/__init__.py | 0 .../rai_open_set_vision}/boxer.py | 5 +- .../rai_open_set_vision}/config.py | 0 .../rai_open_set_vision}/grounding_dino.py | 4 +- .../rai_open_set_vision/segmenter.py | 76 ++++++++++++++++++ .../rai_open_set_vision}/talker.py | 0 .../rai_open_set_vision}/tools.py | 2 +- .../resource/rai_open_set_vision} | 0 .../rai_open_set_vision/setup.cfg | 6 ++ .../setup.py | 10 +-- 21 files changed, 147 insertions(+), 42 deletions(-) delete mode 100644 src/rai_extensions/rai_grounding_dino/setup.cfg rename src/rai_extensions/{rai_grounding_dino => rai_open_set_vision}/.gitignore (100%) rename src/rai_extensions/{rai_grounding_dino => rai_open_set_vision}/README.md (84%) rename src/rai_extensions/{rai_grounding_dino => rai_open_set_vision}/images/sample.jpg (100%) rename src/rai_extensions/{rai_grounding_dino => rai_open_set_vision}/launch/example_communication_launch.xml (74%) rename src/rai_extensions/{rai_grounding_dino => rai_open_set_vision}/launch/gdino_launch.xml (88%) rename src/rai_extensions/{rai_grounding_dino => rai_open_set_vision}/package.xml (80%) rename src/rai_extensions/{rai_grounding_dino/rai_grounding_dino => rai_open_set_vision/rai_open_set_vision}/NOTICE (100%) rename src/rai_extensions/{rai_grounding_dino/rai_grounding_dino => rai_open_set_vision/rai_open_set_vision}/__init__.py (100%) rename src/rai_extensions/{rai_grounding_dino/rai_grounding_dino => rai_open_set_vision/rai_open_set_vision}/boxer.py (95%) rename src/rai_extensions/{rai_grounding_dino/rai_grounding_dino => rai_open_set_vision/rai_open_set_vision}/config.py (100%) rename src/rai_extensions/{rai_grounding_dino/rai_grounding_dino => rai_open_set_vision/rai_open_set_vision}/grounding_dino.py (97%) create mode 100644 src/rai_extensions/rai_open_set_vision/rai_open_set_vision/segmenter.py rename src/rai_extensions/{rai_grounding_dino/rai_grounding_dino => rai_open_set_vision/rai_open_set_vision}/talker.py (100%) rename src/rai_extensions/{rai_grounding_dino/rai_grounding_dino => rai_open_set_vision/rai_open_set_vision}/tools.py (99%) rename src/rai_extensions/{rai_grounding_dino/resource/rai_grounding_dino => rai_open_set_vision/resource/rai_open_set_vision} (100%) create mode 100644 src/rai_extensions/rai_open_set_vision/setup.cfg rename src/rai_extensions/{rai_grounding_dino => rai_open_set_vision}/setup.py (83%) diff --git a/docs/ros_packages.md b/docs/ros_packages.md index 4156923f6..3057e8591 100644 --- a/docs/ros_packages.md +++ b/docs/ros_packages.md @@ -2,11 +2,11 @@ RAI includes multiple configurable ROS 2 packages. -| Package | Description | Documentation | -| ---------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------- | -| **rai_asr** | Automatic Speech Recognition node utilizes a combination of voice activity detection (VAD) and a speech recognition model to transcribe spoken language into text using [openai-whisper](https://github.com/openai/whisper). | [rai_asr](../src/rai_asr/README.md) | -| **rai_grounding_dino** | Package enabling use of [GroundingDINO](https://github.com/IDEA-Research/GroundingDINO) -- an open-set detection model with ROS 2. | [rai_grounding_dino](../src/rai_extensions/rai_grounding_dino) | -| **rai_nomad** | Package integrating [NoMaD](https://general-navigation-models.github.io/nomad/index.html) -- an exploration model with ROS2. | [rai_nomad](../src/rai_extensions/rai_nomad) | -| **rai_interfaces** | Definition of custom messages and services used in RAI. | | -| **rai_whoami** | Configures and provides information about the robot identity. | [rai_whoami](create_robots_whoami.md) | -| **rai_bringup** | Launch files to run RAI. | | +| Package | Description | Documentation | +| ----------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------- | +| **rai_asr** | Automatic Speech Recognition node utilizes a combination of voice activity detection (VAD) and a speech recognition model to transcribe spoken language into text using [openai-whisper](https://github.com/openai/whisper). | [rai_asr](../src/rai_asr/README.md) | +| **rai_open_set_vision** | Package enabling use of [GroundingDINO](https://github.com/IDEA-Research/GroundingDINO) -- an open-set detection model with ROS 2. | [rai_open_set_vision](../src/rai_extensions/rai_open_set_vision/README.md) | +| **rai_nomad** | Package integrating [NoMaD](https://general-navigation-models.github.io/nomad/index.html) -- an exploration model with ROS2. | [rai_nomad](../src/rai_extensions/rai_nomad) | +| **rai_interfaces** | Definition of custom messages and services used in RAI. | | +| **rai_whoami** | Configures and provides information about the robot identity. | [rai_whoami](create_robots_whoami.md) | +| **rai_bringup** | Launch files to run RAI. | | diff --git a/poetry.lock b/poetry.lock index 6d6078b33..eefde1a96 100644 --- a/poetry.lock +++ b/poetry.lock @@ -6033,6 +6033,34 @@ tensorflow = ["safetensors[numpy]", "tensorflow (>=2.11.0)"] testing = ["h5py (>=3.7.0)", "huggingface-hub (>=0.12.1)", "hypothesis (>=6.70.2)", "pytest (>=7.2.0)", "pytest-benchmark (>=4.0.0)", "safetensors[numpy]", "setuptools-rust (>=1.5.2)"] torch = ["safetensors[numpy]", "torch (>=1.10)"] +[[package]] +name = "sam2" +version = "1.0" +description = "SAM 2: Segment Anything in Images and Videos" +optional = false +python-versions = ">=3.10.0" +files = [] +develop = false + +[package.dependencies] +hydra-core = ">=1.3.2" +iopath = ">=0.1.10" +numpy = ">=1.24.4" +pillow = ">=9.4.0" +torch = ">=2.3.1" +torchvision = ">=0.18.1" +tqdm = ">=4.66.1" + +[package.extras] +demo = ["jupyter (>=1.0.0)", "matplotlib (>=3.9.1)", "opencv-python (>=4.7.0)"] +dev = ["black (==24.2.0)", "ufmt (==2.0.0b2)", "usort (==1.0.2)"] + +[package.source] +type = "git" +url = "https://github.com/RobotecAI/Grounded-SAM-2" +reference = "main" +resolved_reference = "3dbd2e617a3cfcf49909dda62e44af9b97d21297" + [[package]] name = "scikit-image" version = "0.24.0" @@ -8102,4 +8130,4 @@ type = ["pytest-mypy"] [metadata] lock-version = "2.0" python-versions = "^3.10, <3.13" -content-hash = "7c4152d060193b6cc8006aeb74ed228de410aaa1fcd960859fb39a110917ffc0" +content-hash = "e6b6c2e991976202012136c30b5f54149840ce7e2133580802245831e53b9356" diff --git a/pyproject.toml b/pyproject.toml index 6ab229ebc..d6d87ef34 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -55,14 +55,16 @@ openwakeword = { git = "https://github.com/maciejmajek/openWakeWord.git", branch ipykernel = "^6.29.4" -[tool.poetry.group.gdino] +[tool.poetry.group.openset] optional = true -[tool.poetry.group.gdino.dependencies] +[tool.poetry.group.openset.dependencies] pip = "^24.1.2" torch = "^2.3.1" torchvision = "^0.18.1" rf-groundingdino = "^0.2.0" +sam2 = { git = "https://github.com/RobotecAI/Grounded-SAM-2", branch = "main" } + [tool.poetry.group.nomad] optional = true diff --git a/src/rai_extensions/rai_grounding_dino/setup.cfg b/src/rai_extensions/rai_grounding_dino/setup.cfg deleted file mode 100644 index 88942c9e8..000000000 --- a/src/rai_extensions/rai_grounding_dino/setup.cfg +++ /dev/null @@ -1,6 +0,0 @@ -[build_scripts] -executable = /usr/bin/env python3 -[develop] -script_dir=$base/lib/rai_grounding_dino -[install] -install_scripts=$base/lib/rai_grounding_dino diff --git a/src/rai_extensions/rai_grounding_dino/.gitignore b/src/rai_extensions/rai_open_set_vision/.gitignore similarity index 100% rename from src/rai_extensions/rai_grounding_dino/.gitignore rename to src/rai_extensions/rai_open_set_vision/.gitignore diff --git a/src/rai_extensions/rai_grounding_dino/README.md b/src/rai_extensions/rai_open_set_vision/README.md similarity index 84% rename from src/rai_extensions/rai_grounding_dino/README.md rename to src/rai_extensions/rai_open_set_vision/README.md index a1f48f1eb..6b98424c1 100644 --- a/src/rai_extensions/rai_grounding_dino/README.md +++ b/src/rai_extensions/rai_open_set_vision/README.md @@ -1,11 +1,11 @@ -# RAI GroundingDINO +# RAI Open Set Vision This package provides a ROS2 Node which is an interface to the [Idea-Research GroundingDINO Model](https://github.com/IDEA-Research/GroundingDINO). It allows for open-set detection. ## Installation -In your workspace you need to have an `src` folder containing this package `rai_grounding_dino` and the `rai_interfaces` package. +In your workspace you need to have an `src` folder containing this package `rai_open_set_vision` and the `rai_interfaces` package. ### Preparing the GroundingDINO @@ -20,7 +20,7 @@ rosdep install --from-paths src --ignore-src -r In the base directory of the `RAI` package install dependencies: ``` -poetry install --with gdino +poetry install --with openset ``` Source the ros installation @@ -51,11 +51,11 @@ export PYTHONPATH="$(dirname $(dirname $(poetry run which python)))/lib/python$( Run the ROS node using `ros2 launch`: ``` -ros2 launch rai_grounding_dino gdino_launch.xml [weights_path:=PATH/TO/WEIGHTS] +ros2 launch rai_open_set_vision gdino_launch.xml [weights_path:=PATH/TO/WEIGHTS] ``` > [!NOTE] -> By default the weights will be downloaded to `$(ros2 pkg prefix rai_grounding_dino)/share/weights/`. +> By default the weights will be downloaded to `$(ros2 pkg prefix rai_open_set_vision)/share/weights/`. > You can change this path if you downloaded the weights manually or moved them. ### RAI Tools @@ -103,12 +103,12 @@ This package provides the following tools: ### Example -An example client is provided with the package as `rai_grounding_dino/talker.py` +An example client is provided with the package as `rai_open_set_vision/talker.py` You can see it working by running: ``` -ros2 launch rai_grounding_dino example_communication_launch.xml image_path:=src/rai_extensions/rai_grounding_dino/images/sample.jpg [weights_path:=PATH/TO/WEIGHTS] +ros2 launch rai_open_set_vision example_communication_launch.xml image_path:=src/rai_extensions/rai_open_set_vision/images/sample.jpg [weights_path:=PATH/TO/WEIGHTS] ``` If everything was set up properly you should see a couple of detections with classes `dinosaur`, `dragon`, and `lizard`. diff --git a/src/rai_extensions/rai_grounding_dino/images/sample.jpg b/src/rai_extensions/rai_open_set_vision/images/sample.jpg similarity index 100% rename from src/rai_extensions/rai_grounding_dino/images/sample.jpg rename to src/rai_extensions/rai_open_set_vision/images/sample.jpg diff --git a/src/rai_extensions/rai_grounding_dino/launch/example_communication_launch.xml b/src/rai_extensions/rai_open_set_vision/launch/example_communication_launch.xml similarity index 74% rename from src/rai_extensions/rai_grounding_dino/launch/example_communication_launch.xml rename to src/rai_extensions/rai_open_set_vision/launch/example_communication_launch.xml index deabcde23..0007ede31 100644 --- a/src/rai_extensions/rai_grounding_dino/launch/example_communication_launch.xml +++ b/src/rai_extensions/rai_open_set_vision/launch/example_communication_launch.xml @@ -16,13 +16,13 @@ - + - + - + diff --git a/src/rai_extensions/rai_grounding_dino/launch/gdino_launch.xml b/src/rai_extensions/rai_open_set_vision/launch/gdino_launch.xml similarity index 88% rename from src/rai_extensions/rai_grounding_dino/launch/gdino_launch.xml rename to src/rai_extensions/rai_open_set_vision/launch/gdino_launch.xml index 4162069e3..e04733bc9 100644 --- a/src/rai_extensions/rai_grounding_dino/launch/gdino_launch.xml +++ b/src/rai_extensions/rai_open_set_vision/launch/gdino_launch.xml @@ -17,7 +17,7 @@ - + diff --git a/src/rai_extensions/rai_grounding_dino/package.xml b/src/rai_extensions/rai_open_set_vision/package.xml similarity index 80% rename from src/rai_extensions/rai_grounding_dino/package.xml rename to src/rai_extensions/rai_open_set_vision/package.xml index 9a43c5d20..f348db3d6 100644 --- a/src/rai_extensions/rai_grounding_dino/package.xml +++ b/src/rai_extensions/rai_open_set_vision/package.xml @@ -1,9 +1,9 @@ - rai_grounding_dino - 0.0.0 - Package enabling grounding dino open set detection for RAI + rai_open_set_vision + 0.1.0 + Package enabling open set vision for RAI Kajetan Rachwaล‚ Apache-2.0 diff --git a/src/rai_extensions/rai_grounding_dino/rai_grounding_dino/NOTICE b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/NOTICE similarity index 100% rename from src/rai_extensions/rai_grounding_dino/rai_grounding_dino/NOTICE rename to src/rai_extensions/rai_open_set_vision/rai_open_set_vision/NOTICE diff --git a/src/rai_extensions/rai_grounding_dino/rai_grounding_dino/__init__.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/__init__.py similarity index 100% rename from src/rai_extensions/rai_grounding_dino/rai_grounding_dino/__init__.py rename to src/rai_extensions/rai_open_set_vision/rai_open_set_vision/__init__.py diff --git a/src/rai_extensions/rai_grounding_dino/rai_grounding_dino/boxer.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/boxer.py similarity index 95% rename from src/rai_extensions/rai_grounding_dino/rai_grounding_dino/boxer.py rename to src/rai_extensions/rai_open_set_vision/rai_open_set_vision/boxer.py index 0e3fa07c9..a95c6ac6e 100644 --- a/src/rai_extensions/rai_grounding_dino/rai_grounding_dino/boxer.py +++ b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/boxer.py @@ -61,9 +61,7 @@ def to_detection_msg( class GDBoxer: def __init__( self, - weight_path: ( - str | PathLike - ) = "./src/rai_extensions/rai_grounding_dino/GroundingDINO/weights/groundingdino_swint_ogc.pth", + weight_path: str | PathLike, use_cuda: bool = True, ): self.cfg_path = __file__.replace("boxer.py", "config.py") @@ -81,6 +79,7 @@ def get_boxes( box_threshold: float, text_threshold: float, ) -> list[Box]: + # TODO: move this to method, or use RAI canonical one image = self.bridge.imgmsg_to_cv2( image_msg, desired_encoding=image_msg.encoding ) diff --git a/src/rai_extensions/rai_grounding_dino/rai_grounding_dino/config.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/config.py similarity index 100% rename from src/rai_extensions/rai_grounding_dino/rai_grounding_dino/config.py rename to src/rai_extensions/rai_open_set_vision/rai_open_set_vision/config.py diff --git a/src/rai_extensions/rai_grounding_dino/rai_grounding_dino/grounding_dino.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/grounding_dino.py similarity index 97% rename from src/rai_extensions/rai_grounding_dino/rai_grounding_dino/grounding_dino.py rename to src/rai_extensions/rai_open_set_vision/rai_open_set_vision/grounding_dino.py index e610f6d0c..080a465db 100644 --- a/src/rai_extensions/rai_grounding_dino/rai_grounding_dino/grounding_dino.py +++ b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/grounding_dino.py @@ -19,7 +19,7 @@ from typing import TypedDict import rclpy -from rai_grounding_dino.boxer import GDBoxer +from rai_open_set_vision.boxer import GDBoxer from rclpy.node import Node from sensor_msgs.msg import Image @@ -58,7 +58,7 @@ def __init__(self): def _init_weight_path(self) -> Path: try: found_path = subprocess.check_output( - ["ros2", "pkg", "prefix", "rai_grounding_dino"] + ["ros2", "pkg", "prefix", "rai_open_set_vision"] ).decode("utf-8") install_path = ( Path(found_path.strip()) diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/segmenter.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/segmenter.py new file mode 100644 index 000000000..a44c17040 --- /dev/null +++ b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/segmenter.py @@ -0,0 +1,76 @@ +# Copyright (C) 2024 Robotec.AI +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +from os import PathLike +from typing import List + +import numpy as np +import torch +from cv_bridge import CvBridge +from sam2.build_sam import build_sam2 +from sam2.sam2_image_predictor import SAM2ImagePredictor +from sensor_msgs.msg import Image +from vision_msgs.msg import Detection2D + +from rai.tools.ros.utils import convert_ros_img_to_ndarray + + +class GDSegmenter: + def __init__( + self, + weight_path: str | PathLike, + use_cuda: bool = True, + ): + self.cfg_path = __file__.replace("segmenter.py", "seg_config.yml") + self.weight_path = str(weight_path) + if use_cuda: + self.device = "cuda" if torch.cuda.is_available() else "cpu" + else: + self.device = "cpu" + self.sam2_model = build_sam2( + self.cfg_path, self.weight_path, device=self.device + ) + self.sam2_predictor = SAM2ImagePredictor(self.sam2_model) + self.bridge = CvBridge() + + def _get_boxes_xyxy(self, detections: List[Detection2D]) -> List[np.ndarray]: + data = [] + for detection in detections: + center_x = detection.bbox.center.position.x + center_y = detection.bbox.center.position.y + data.append( + np.array( + [ + center_x - detection.bbox.size_x / 2, + center_y - detection.bbox.size_y / 2, + center_x + detection.bbox.size_x / 2, + center_y + detection.bbox.size_y / 2, + ] + ) + ) + return data + + def get_segmentation(self, image_msg: Image, detections: List[Detection2D]): + img_array = convert_ros_img_to_ndarray(image_msg, image_msg.encoding) + self.sam2_predictor.set_image(img_array) + bboxes = self._get_boxes_xyxy(detections) + + masks, scores, logits = self.sam2_predictor.predict_batch( + point_coords_batch=[], + point_labels_batch=[], + box_batch=bboxes, + multimask_output=False, + ) + return masks, scores, logits diff --git a/src/rai_extensions/rai_grounding_dino/rai_grounding_dino/talker.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/talker.py similarity index 100% rename from src/rai_extensions/rai_grounding_dino/rai_grounding_dino/talker.py rename to src/rai_extensions/rai_open_set_vision/rai_open_set_vision/talker.py diff --git a/src/rai_extensions/rai_grounding_dino/rai_grounding_dino/tools.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools.py similarity index 99% rename from src/rai_extensions/rai_grounding_dino/rai_grounding_dino/tools.py rename to src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools.py index 6577c84e1..631aac8e4 100644 --- a/src/rai_extensions/rai_grounding_dino/rai_grounding_dino/tools.py +++ b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools.py @@ -18,7 +18,7 @@ import rclpy import sensor_msgs.msg from pydantic import BaseModel, Field -from rai_grounding_dino import GDINO_SERVICE_NAME +from rai_open_set_vision import GDINO_SERVICE_NAME from rclpy import Future from rclpy.exceptions import ( ParameterNotDeclaredException, diff --git a/src/rai_extensions/rai_grounding_dino/resource/rai_grounding_dino b/src/rai_extensions/rai_open_set_vision/resource/rai_open_set_vision similarity index 100% rename from src/rai_extensions/rai_grounding_dino/resource/rai_grounding_dino rename to src/rai_extensions/rai_open_set_vision/resource/rai_open_set_vision diff --git a/src/rai_extensions/rai_open_set_vision/setup.cfg b/src/rai_extensions/rai_open_set_vision/setup.cfg new file mode 100644 index 000000000..8f4725851 --- /dev/null +++ b/src/rai_extensions/rai_open_set_vision/setup.cfg @@ -0,0 +1,6 @@ +[build_scripts] +executable = /usr/bin/env python3 +[develop] +script_dir=$base/lib/rai_open_set_vision +[install] +install_scripts=$base/lib/rai_open_set_vision diff --git a/src/rai_extensions/rai_grounding_dino/setup.py b/src/rai_extensions/rai_open_set_vision/setup.py similarity index 83% rename from src/rai_extensions/rai_grounding_dino/setup.py rename to src/rai_extensions/rai_open_set_vision/setup.py index 440c94a1b..e6577f2b9 100644 --- a/src/rai_extensions/rai_grounding_dino/setup.py +++ b/src/rai_extensions/rai_open_set_vision/setup.py @@ -18,11 +18,11 @@ from setuptools import find_packages, setup -package_name = "rai_grounding_dino" +package_name = "rai_open_set_vision" setup( name=package_name, - version="0.0.0", + version="0.1.0", packages=find_packages(exclude=["test"]), data_files=[ ("share/ament_index/resource_index/packages", ["resource/" + package_name]), @@ -36,13 +36,13 @@ zip_safe=True, maintainer="Kajetan Rachwaล‚", maintainer_email="kajetan.rachwal@robotec.ai", - description="Package enabling grounding dino open set detection for RAI", + description="Package enabling open set vision for RAI", license="Apache License 2.0", tests_require=["pytest"], entry_points={ "console_scripts": [ - "grounding_dino = rai_grounding_dino.grounding_dino:main", - "talker = rai_grounding_dino.talker:main", + "grounding_dino = rai_open_set_vision.grounding_dino:main", + "talker = rai_open_set_vision.talker:main", ], }, ) From 4fab286ed295f04fcdd7177f2078a20292e5c2cd Mon Sep 17 00:00:00 2001 From: rachwalk Date: Fri, 27 Sep 2024 14:38:31 +0200 Subject: [PATCH 32/84] feat: add basic grounded sam service --- .../rai_open_set_vision/__init__.py | 2 +- .../{config.py => configs/gdino_config.py} | 0 .../rai_open_set_vision/examples/__init__.py | 0 .../{ => examples}/talker.py | 0 .../rai_open_set_vision/services/__init__.py | 0 .../services/grounded_sam.py | 112 ++++++++++++++++++ .../{ => services}/grounding_dino.py | 3 +- .../vision_markup/__init__.py | 0 .../{ => vision_markup}/boxer.py | 2 +- .../{ => vision_markup}/segmenter.py | 0 .../rai_open_set_vision/setup.py | 4 +- src/rai_interfaces/srv/RAIGroundedSam.srv | 19 +++ 12 files changed, 137 insertions(+), 5 deletions(-) rename src/rai_extensions/rai_open_set_vision/rai_open_set_vision/{config.py => configs/gdino_config.py} (100%) create mode 100644 src/rai_extensions/rai_open_set_vision/rai_open_set_vision/examples/__init__.py rename src/rai_extensions/rai_open_set_vision/rai_open_set_vision/{ => examples}/talker.py (100%) create mode 100644 src/rai_extensions/rai_open_set_vision/rai_open_set_vision/services/__init__.py create mode 100644 src/rai_extensions/rai_open_set_vision/rai_open_set_vision/services/grounded_sam.py rename src/rai_extensions/rai_open_set_vision/rai_open_set_vision/{ => services}/grounding_dino.py (97%) create mode 100644 src/rai_extensions/rai_open_set_vision/rai_open_set_vision/vision_markup/__init__.py rename src/rai_extensions/rai_open_set_vision/rai_open_set_vision/{ => vision_markup}/boxer.py (97%) rename src/rai_extensions/rai_open_set_vision/rai_open_set_vision/{ => vision_markup}/segmenter.py (100%) create mode 100644 src/rai_interfaces/srv/RAIGroundedSam.srv diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/__init__.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/__init__.py index 522b9d61b..0156a093b 100644 --- a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/__init__.py +++ b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/__init__.py @@ -13,7 +13,7 @@ # limitations under the License. # -from .grounding_dino import GDINO_NODE_NAME, GDINO_SERVICE_NAME +from .services.grounding_dino import GDINO_NODE_NAME, GDINO_SERVICE_NAME from .tools import GetDetectionTool, GetDistanceToObjectsTool __all__ = [ diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/config.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/configs/gdino_config.py similarity index 100% rename from src/rai_extensions/rai_open_set_vision/rai_open_set_vision/config.py rename to src/rai_extensions/rai_open_set_vision/rai_open_set_vision/configs/gdino_config.py diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/examples/__init__.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/examples/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/talker.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/examples/talker.py similarity index 100% rename from src/rai_extensions/rai_open_set_vision/rai_open_set_vision/talker.py rename to src/rai_extensions/rai_open_set_vision/rai_open_set_vision/examples/talker.py diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/services/__init__.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/services/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/services/grounded_sam.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/services/grounded_sam.py new file mode 100644 index 000000000..5d76d703e --- /dev/null +++ b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/services/grounded_sam.py @@ -0,0 +1,112 @@ +# Copyright (C) 2024 Robotec.AI +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +import os +import subprocess +from pathlib import Path + +import rclpy +from rai_open_set_vision.vision_markup.segmenter import GDSegmenter +from rclpy.node import Node + +from rai_interfaces.srv import RAIGroundedSam + +GSAM_NODE_NAME = "grounded_sam" +GSAM_SERVICE_NAME = "grounded_sam_segment" + + +# TODO: Create a base class for vision services +class GSamService(Node): + def __init__(self): + super().__init__(node_name=GSAM_NODE_NAME, parameter_overrides=[]) + self.srv = self.create_service( + RAIGroundedSam, GSAM_SERVICE_NAME, self.segment_callback + ) + + self.declare_parameter("weights_path", "") + try: + weight_path = self.get_parameter("weights_path").value + assert isinstance(weight_path, str) + if self.get_parameter("weights_path").value == "": + weight_path = self._init_weight_path() + self.segmenter = GDSegmenter(weight_path) + except Exception: + self.get_logger().error("Could not load model") + raise Exception("Could not load model") + + def _init_weight_path(self): + try: + found_path = subprocess.check_output( + ["ros2", "pkg", "prefix", "rai_open_set_vision"] + ).decode("utf-8") + install_path = ( + Path(found_path.strip()) / "share" / "weights" / "sam2_hiera_large.pt" + ) + # make sure the file exists + if install_path.exists(): + return install_path + else: + self._download_weights(install_path) + return install_path + + except Exception: + self.get_logger().error("Could not find package path") + raise Exception("Could not find package path") + + def _download_weights(self, path: Path): + try: + os.makedirs(path.parent, exist_ok=True) + subprocess.run( + [ + "wget", + "https://dl.fbaipublicfiles.com/segment_anything_2/072824/sam2_hiera_large.pt" + "-O", + path, + ] + ) + except Exception: + self.get_logger().error("Could not download weights") + raise Exception("Could not download weights") + + def segment_callback(self, request, response: str) -> str: + received_boxes = request.detections.detections.bboxes + image = request.source_img + + assert self.segmenter is not None + seg = self.segmenter.get_segmentation(image, received_boxes) + self.get_logger().info(seg) + response = "" + + return response + + +def main(args=None): + rclpy.init(args=args) + + gsam_service = GSamService() + + try: + rclpy.spin(gsam_service) + except KeyboardInterrupt: + gsam_service.get_logger().info("Shutting down") + except Exception as e: + gsam_service.get_logger().error(f"Error: {e}") + finally: + gsam_service.destroy_node() + rclpy.shutdown() + + +if __name__ == "__main__": + main() diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/grounding_dino.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/services/grounding_dino.py similarity index 97% rename from src/rai_extensions/rai_open_set_vision/rai_open_set_vision/grounding_dino.py rename to src/rai_extensions/rai_open_set_vision/rai_open_set_vision/services/grounding_dino.py index 080a465db..71cad84ca 100644 --- a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/grounding_dino.py +++ b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/services/grounding_dino.py @@ -19,7 +19,7 @@ from typing import TypedDict import rclpy -from rai_open_set_vision.boxer import GDBoxer +from rai_open_set_vision.vision_markup.boxer import GDBoxer from rclpy.node import Node from sensor_msgs.msg import Image @@ -38,6 +38,7 @@ class GDRequest(TypedDict): GDINO_SERVICE_NAME = "grounding_dino_classify" +# TODO: Create a base class for vision services class GDinoService(Node): def __init__(self): super().__init__(node_name=GDINO_NODE_NAME, parameter_overrides=[]) diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/vision_markup/__init__.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/vision_markup/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/boxer.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/vision_markup/boxer.py similarity index 97% rename from src/rai_extensions/rai_open_set_vision/rai_open_set_vision/boxer.py rename to src/rai_extensions/rai_open_set_vision/rai_open_set_vision/vision_markup/boxer.py index a95c6ac6e..771e5f315 100644 --- a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/boxer.py +++ b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/vision_markup/boxer.py @@ -64,7 +64,7 @@ def __init__( weight_path: str | PathLike, use_cuda: bool = True, ): - self.cfg_path = __file__.replace("boxer.py", "config.py") + self.cfg_path = __file__.replace("boxer.py", "configs/gdino_config.py") self.weight_path = str(weight_path) if not use_cuda: self.model = Model(self.cfg_path, self.weight_path, device="cpu") diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/segmenter.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/vision_markup/segmenter.py similarity index 100% rename from src/rai_extensions/rai_open_set_vision/rai_open_set_vision/segmenter.py rename to src/rai_extensions/rai_open_set_vision/rai_open_set_vision/vision_markup/segmenter.py diff --git a/src/rai_extensions/rai_open_set_vision/setup.py b/src/rai_extensions/rai_open_set_vision/setup.py index e6577f2b9..80c420895 100644 --- a/src/rai_extensions/rai_open_set_vision/setup.py +++ b/src/rai_extensions/rai_open_set_vision/setup.py @@ -41,8 +41,8 @@ tests_require=["pytest"], entry_points={ "console_scripts": [ - "grounding_dino = rai_open_set_vision.grounding_dino:main", - "talker = rai_open_set_vision.talker:main", + "grounding_dino = rai_open_set_vision.services.grounding_dino:main", + "talker = rai_open_set_vision.examples.talker:main", ], }, ) diff --git a/src/rai_interfaces/srv/RAIGroundedSam.srv b/src/rai_interfaces/srv/RAIGroundedSam.srv new file mode 100644 index 000000000..1bc61a6ff --- /dev/null +++ b/src/rai_interfaces/srv/RAIGroundedSam.srv @@ -0,0 +1,19 @@ +# +# Copyright (C) 2024 Robotec.AI +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +RAIDetectionArray detections +sensor_msgs/Image source_img +--- +string status From 3fd4ad171a4a06fa2866907571da6e0c62dff17b Mon Sep 17 00:00:00 2001 From: rachwalk Date: Mon, 30 Sep 2024 15:41:44 +0200 Subject: [PATCH 33/84] feat: add support for gsam node with automatic weight download --- .github/workflows/poetry-test.yml | 2 +- poetry.lock | 35 +++--- .../rai_open_set_vision/README.md | 2 +- .../launch/example_communication_launch.xml | 9 +- .../launch/gsam_launch.xml | 23 ++++ .../rai_open_set_vision/configs/__init__.py | 14 +++ .../configs/seg_config.yml | 117 ++++++++++++++++++ .../rai_open_set_vision/examples/__init__.py | 14 +++ .../rai_open_set_vision/examples/talker.py | 62 ++++++++-- .../rai_open_set_vision/services/__init__.py | 14 +++ .../services/grounded_sam.py | 16 +-- .../services/grounding_dino.py | 5 +- .../vision_markup/__init__.py | 14 +++ .../vision_markup/boxer.py | 4 +- .../vision_markup/segmenter.py | 60 ++++++--- .../rai_open_set_vision/setup.py | 3 + src/rai_interfaces/CMakeLists.txt | 1 + 17 files changed, 334 insertions(+), 61 deletions(-) create mode 100644 src/rai_extensions/rai_open_set_vision/launch/gsam_launch.xml create mode 100644 src/rai_extensions/rai_open_set_vision/rai_open_set_vision/configs/__init__.py create mode 100644 src/rai_extensions/rai_open_set_vision/rai_open_set_vision/configs/seg_config.yml diff --git a/.github/workflows/poetry-test.yml b/.github/workflows/poetry-test.yml index 374624d40..96dfc8e45 100644 --- a/.github/workflows/poetry-test.yml +++ b/.github/workflows/poetry-test.yml @@ -39,7 +39,7 @@ jobs: uses: snok/install-poetry@v1 - name: Install python dependencies - run: poetry install --with gdino,nomad + run: poetry install --with openset,nomad - name: Update rosdep shell: bash diff --git a/poetry.lock b/poetry.lock index eefde1a96..530711d10 100644 --- a/poetry.lock +++ b/poetry.lock @@ -2767,8 +2767,8 @@ langchain-core = ">=0.3.6,<0.4.0" langchain-text-splitters = ">=0.3.0,<0.4.0" langsmith = ">=0.1.17,<0.2.0" numpy = [ - {version = ">=1.26.0,<2.0.0", markers = "python_version >= \"3.12\""}, {version = ">=1,<2", markers = "python_version < \"3.12\""}, + {version = ">=1.26.0,<2.0.0", markers = "python_version >= \"3.12\""}, ] pydantic = ">=2.7.4,<3.0.0" PyYAML = ">=5.3" @@ -2791,8 +2791,8 @@ files = [ boto3 = ">=1.34.131" langchain-core = ">=0.3.2,<0.4" numpy = [ - {version = ">=1.26.0,<2.0.0", markers = "python_version >= \"3.12\""}, {version = ">=1,<2", markers = "python_version < \"3.12\""}, + {version = ">=1.26.0,<2.0.0", markers = "python_version >= \"3.12\""}, ] pydantic = ">=2,<3" @@ -2814,8 +2814,8 @@ langchain = ">=0.3.1,<0.4.0" langchain-core = ">=0.3.6,<0.4.0" langsmith = ">=0.1.125,<0.2.0" numpy = [ - {version = ">=1.26.0,<2.0.0", markers = "python_version >= \"3.12\""}, {version = ">=1,<2", markers = "python_version < \"3.12\""}, + {version = ">=1.26.0,<2.0.0", markers = "python_version >= \"3.12\""}, ] pydantic-settings = ">=2.4.0,<3.0.0" PyYAML = ">=5.3" @@ -3631,13 +3631,13 @@ files = [ [[package]] name = "narwhals" -version = "1.8.4" +version = "1.9.0" description = "Extremely lightweight compatibility layer between dataframe libraries" optional = false python-versions = ">=3.8" files = [ - {file = "narwhals-1.8.4-py3-none-any.whl", hash = "sha256:ccd1df55542d4406db3190ec9e98b181b19cd85a8a7eaf98472fb7b9a9b3b260"}, - {file = "narwhals-1.8.4.tar.gz", hash = "sha256:d5f018895f4e8209d91726a4598c73d05fbfa4c7a4c4a6fc0fba9715dc88730e"}, + {file = "narwhals-1.9.0-py3-none-any.whl", hash = "sha256:914cde513487341fe1e3b8cb09d3b79083530141c570e45d42150796b8d87a01"}, + {file = "narwhals-1.9.0.tar.gz", hash = "sha256:bfd8ab5abb87cfeca9cc72af4af47bf9d73a2f0fda97cffa2223a535bc65b5e5"}, ] [package.extras] @@ -4144,10 +4144,10 @@ files = [ [package.dependencies] numpy = [ - {version = ">=1.26.0", markers = "python_version >= \"3.12\""}, {version = ">=1.23.5", markers = "python_version >= \"3.11\" and python_version < \"3.12\""}, {version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\" and python_version < \"3.11\""}, {version = ">=1.21.2", markers = "platform_system != \"Darwin\" and python_version >= \"3.10\" and python_version < \"3.11\""}, + {version = ">=1.26.0", markers = "python_version >= \"3.12\""}, ] [[package]] @@ -4168,10 +4168,10 @@ files = [ [package.dependencies] numpy = [ - {version = ">=1.26.0", markers = "python_version >= \"3.12\""}, {version = ">=1.23.5", markers = "python_version >= \"3.11\" and python_version < \"3.12\""}, {version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\" and python_version < \"3.11\""}, {version = ">=1.21.2", markers = "platform_system != \"Darwin\" and python_version >= \"3.10\" and python_version < \"3.11\""}, + {version = ">=1.26.0", markers = "python_version >= \"3.12\""}, ] [[package]] @@ -4357,9 +4357,9 @@ files = [ [package.dependencies] numpy = [ - {version = ">=1.26.0", markers = "python_version >= \"3.12\""}, {version = ">=1.23.2", markers = "python_version == \"3.11\""}, {version = ">=1.22.4", markers = "python_version < \"3.11\""}, + {version = ">=1.26.0", markers = "python_version >= \"3.12\""}, ] python-dateutil = ">=2.8.2" pytz = ">=2020.1" @@ -5742,18 +5742,19 @@ yapf = "*" [[package]] name = "rich" -version = "13.8.1" +version = "13.9.1" description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal" optional = false -python-versions = ">=3.7.0" +python-versions = ">=3.8.0" files = [ - {file = "rich-13.8.1-py3-none-any.whl", hash = "sha256:1760a3c0848469b97b558fc61c85233e3dafb69c7a071b4d60c38099d3cd4c06"}, - {file = "rich-13.8.1.tar.gz", hash = "sha256:8260cda28e3db6bf04d2d1ef4dbc03ba80a824c88b0e7668a0f23126a424844a"}, + {file = "rich-13.9.1-py3-none-any.whl", hash = "sha256:b340e739f30aa58921dc477b8adaa9ecdb7cecc217be01d93730ee1bc8aa83be"}, + {file = "rich-13.9.1.tar.gz", hash = "sha256:097cffdf85db1babe30cc7deba5ab3a29e1b9885047dab24c57e9a7f8a9c1466"}, ] [package.dependencies] markdown-it-py = ">=2.2.0" pygments = ">=2.13.0,<3.0.0" +typing-extensions = {version = ">=4.0.0,<5.0", markers = "python_version < \"3.11\""} [package.extras] jupyter = ["ipywidgets (>=7.5.1,<9)"] @@ -6059,7 +6060,7 @@ dev = ["black (==24.2.0)", "ufmt (==2.0.0b2)", "usort (==1.0.2)"] type = "git" url = "https://github.com/RobotecAI/Grounded-SAM-2" reference = "main" -resolved_reference = "3dbd2e617a3cfcf49909dda62e44af9b97d21297" +resolved_reference = "335de4d0d8ef1960865f05d7da3a266b99d895a8" [[package]] name = "scikit-image" @@ -6222,13 +6223,13 @@ test = ["Cython", "array-api-strict (>=2.0)", "asv", "gmpy2", "hypothesis (>=6.3 [[package]] name = "sentry-sdk" -version = "2.14.0" +version = "2.15.0" description = "Python client for Sentry (https://sentry.io)" optional = false python-versions = ">=3.6" files = [ - {file = "sentry_sdk-2.14.0-py2.py3-none-any.whl", hash = "sha256:b8bc3dc51d06590df1291b7519b85c75e2ced4f28d9ea655b6d54033503b5bf4"}, - {file = "sentry_sdk-2.14.0.tar.gz", hash = "sha256:1e0e2eaf6dad918c7d1e0edac868a7bf20017b177f242cefe2a6bcd47955961d"}, + {file = "sentry_sdk-2.15.0-py2.py3-none-any.whl", hash = "sha256:8fb0d1a4e1a640172f31502e4503543765a1fe8a9209779134a4ac52d4677303"}, + {file = "sentry_sdk-2.15.0.tar.gz", hash = "sha256:a599e7d3400787d6f43327b973e55a087b931ba2c592a7a7afa691f8eb5e75e2"}, ] [package.dependencies] diff --git a/src/rai_extensions/rai_open_set_vision/README.md b/src/rai_extensions/rai_open_set_vision/README.md index 6b98424c1..65aae94e6 100644 --- a/src/rai_extensions/rai_open_set_vision/README.md +++ b/src/rai_extensions/rai_open_set_vision/README.md @@ -108,7 +108,7 @@ An example client is provided with the package as `rai_open_set_vision/talker.py You can see it working by running: ``` -ros2 launch rai_open_set_vision example_communication_launch.xml image_path:=src/rai_extensions/rai_open_set_vision/images/sample.jpg [weights_path:=PATH/TO/WEIGHTS] +ros2 launch rai_open_set_vision example_communication_launch.xml image_path:=src/rai_extensions/rai_open_set_vision/images/sample.jpg [dino_weights_path:=PATH/TO/DINO/WEIGHTS] [sam_weights_path:=PATH/TO/SAM/WEIGHTS] ``` If everything was set up properly you should see a couple of detections with classes `dinosaur`, `dragon`, and `lizard`. diff --git a/src/rai_extensions/rai_open_set_vision/launch/example_communication_launch.xml b/src/rai_extensions/rai_open_set_vision/launch/example_communication_launch.xml index 0007ede31..ddcd4df61 100644 --- a/src/rai_extensions/rai_open_set_vision/launch/example_communication_launch.xml +++ b/src/rai_extensions/rai_open_set_vision/launch/example_communication_launch.xml @@ -15,11 +15,16 @@ --> - + + - + + + + + diff --git a/src/rai_extensions/rai_open_set_vision/launch/gsam_launch.xml b/src/rai_extensions/rai_open_set_vision/launch/gsam_launch.xml new file mode 100644 index 000000000..20a8da475 --- /dev/null +++ b/src/rai_extensions/rai_open_set_vision/launch/gsam_launch.xml @@ -0,0 +1,23 @@ + + + + + + + + + diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/configs/__init__.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/configs/__init__.py new file mode 100644 index 000000000..f138f42af --- /dev/null +++ b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/configs/__init__.py @@ -0,0 +1,14 @@ +# Copyright (C) 2024 Robotec.AI +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/configs/seg_config.yml b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/configs/seg_config.yml new file mode 100644 index 000000000..0993a5630 --- /dev/null +++ b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/configs/seg_config.yml @@ -0,0 +1,117 @@ +# @package _global_ + +# Model +model: + _target_: sam2.modeling.sam2_base.SAM2Base + image_encoder: + _target_: sam2.modeling.backbones.image_encoder.ImageEncoder + scalp: 1 + trunk: + _target_: sam2.modeling.backbones.hieradet.Hiera + embed_dim: 144 + num_heads: 2 + stages: [2, 6, 36, 4] + global_att_blocks: [23, 33, 43] + window_pos_embed_bkg_spatial_size: [7, 7] + window_spec: [8, 4, 16, 8] + neck: + _target_: sam2.modeling.backbones.image_encoder.FpnNeck + position_encoding: + _target_: sam2.modeling.position_encoding.PositionEmbeddingSine + num_pos_feats: 256 + normalize: true + scale: null + temperature: 10000 + d_model: 256 + backbone_channel_list: [1152, 576, 288, 144] + fpn_top_down_levels: [2, 3] # output level 0 and 1 directly use the backbone features + fpn_interp_model: nearest + + memory_attention: + _target_: sam2.modeling.memory_attention.MemoryAttention + d_model: 256 + pos_enc_at_input: true + layer: + _target_: sam2.modeling.memory_attention.MemoryAttentionLayer + activation: relu + dim_feedforward: 2048 + dropout: 0.1 + pos_enc_at_attn: false + self_attention: + _target_: sam2.modeling.sam.transformer.RoPEAttention + rope_theta: 10000.0 + feat_sizes: [32, 32] + embedding_dim: 256 + num_heads: 1 + downsample_rate: 1 + dropout: 0.1 + d_model: 256 + pos_enc_at_cross_attn_keys: true + pos_enc_at_cross_attn_queries: false + cross_attention: + _target_: sam2.modeling.sam.transformer.RoPEAttention + rope_theta: 10000.0 + feat_sizes: [32, 32] + rope_k_repeat: True + embedding_dim: 256 + num_heads: 1 + downsample_rate: 1 + dropout: 0.1 + kv_in_dim: 64 + num_layers: 4 + + memory_encoder: + _target_: sam2.modeling.memory_encoder.MemoryEncoder + out_dim: 64 + position_encoding: + _target_: sam2.modeling.position_encoding.PositionEmbeddingSine + num_pos_feats: 64 + normalize: true + scale: null + temperature: 10000 + mask_downsampler: + _target_: sam2.modeling.memory_encoder.MaskDownSampler + kernel_size: 3 + stride: 2 + padding: 1 + fuser: + _target_: sam2.modeling.memory_encoder.Fuser + layer: + _target_: sam2.modeling.memory_encoder.CXBlock + dim: 256 + kernel_size: 7 + padding: 3 + layer_scale_init_value: 1e-6 + use_dwconv: True # depth-wise convs + num_layers: 2 + + num_maskmem: 7 + image_size: 1024 + # apply scaled sigmoid on mask logits for memory encoder, and directly feed input mask as output mask + sigmoid_scale_for_mem_enc: 20.0 + sigmoid_bias_for_mem_enc: -10.0 + use_mask_input_as_output_without_sam: true + # Memory + directly_add_no_mem_embed: true + # use high-resolution feature map in the SAM mask decoder + use_high_res_features_in_sam: true + # output 3 masks on the first click on initial conditioning frames + multimask_output_in_sam: true + # SAM heads + iou_prediction_use_sigmoid: True + # cross-attend to object pointers from other frames (based on SAM output tokens) in the encoder + use_obj_ptrs_in_encoder: true + add_tpos_enc_to_obj_ptrs: false + only_obj_ptrs_in_the_past_for_eval: true + # object occlusion prediction + pred_obj_scores: true + pred_obj_scores_mlp: true + fixed_no_obj_ptr: true + # multimask tracking settings + multimask_output_for_tracking: true + use_multimask_token_for_obj_ptr: true + multimask_min_pt_num: 0 + multimask_max_pt_num: 1 + use_mlp_for_obj_ptr_proj: true + # Compilation flag + compile_image_encoder: False diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/examples/__init__.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/examples/__init__.py index e69de29bb..f138f42af 100644 --- a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/examples/__init__.py +++ b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/examples/__init__.py @@ -0,0 +1,14 @@ +# Copyright (C) 2024 Robotec.AI +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/examples/talker.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/examples/talker.py index 408ba1bb1..7a380d1e2 100644 --- a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/examples/talker.py +++ b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/examples/talker.py @@ -19,7 +19,7 @@ from cv_bridge import CvBridge from rclpy.node import Node -from rai_interfaces.srv import RAIGroundingDino # CHANGE +from rai_interfaces.srv import RAIGroundedSam, RAIGroundingDino class GDClientExample(Node): @@ -32,6 +32,11 @@ def __init__(self): self.req = RAIGroundingDino.Request() self.bridge = CvBridge() + def get_image_path(self) -> str: + image_path = self.get_parameter("image_path").value + assert isinstance(image_path, str) + return image_path + def send_request(self): image_path = self.get_parameter("image_path").value assert isinstance(image_path, str) @@ -46,24 +51,63 @@ def send_request(self): self.future = self.cli.call_async(self.req) +class GSClientExample(Node): + def __init__(self): + super().__init__(node_name="GSClientExample", parameter_overrides=[]) + self.cli = self.create_client(RAIGroundedSam, "grounded_sam_segment") + while not self.cli.wait_for_service(timeout_sec=1.0): + self.get_logger().info("service not available, waiting again...") + self.req = RAIGroundedSam.Request() + self.bridge = CvBridge() + + def send_request(self, image_path: str, data: RAIGroundingDino.Response): + self.req.detections = data.detections + img = cv2.imread(image_path) + # convert img to numpy array + img = np.array(img) + self.req.source_img = self.bridge.cv2_to_imgmsg(img, encoding="bgr8") + self.future = self.cli.call_async(self.req) + + def main(args=None): rclpy.init(args=args) - minimal_client = GDClientExample() - minimal_client.send_request() + gdino_client = GDClientExample() + gdino_client.send_request() + + gsam_client = GSClientExample() + response = None + while rclpy.ok(): + rclpy.spin_once(gdino_client) + if gdino_client.future.done(): + try: + response = gdino_client.future.result() + except Exception as e: + gdino_client.get_logger().info("Service call failed %r" % (e,)) + else: + assert response is not None + gdino_client.get_logger().info(f"{response.detections}") # CHANGE + break + assert response is not None + gsam_client.send_request(gdino_client.get_image_path(), response) + gsam_client.get_logger().info("making segmentation request") while rclpy.ok(): - rclpy.spin_once(minimal_client) - if minimal_client.future.done(): + rclpy.spin_once(gsam_client) + if gsam_client.future.done(): try: - response = minimal_client.future.result() + gsam_client.get_logger().info("request finished") + response = gsam_client.future.result() + gsam_client.get_logger().info(f"response: {response}") except Exception as e: - minimal_client.get_logger().info("Service call failed %r" % (e,)) + gsam_client.get_logger().info("Service call failed %r" % (e,)) else: - minimal_client.get_logger().info(f"{response.detections}") # CHANGE + assert response is not None + gsam_client.get_logger().info(f"{response.detections}") # CHANGE break - minimal_client.destroy_node() + gdino_client.destroy_node() + gsam_client.destroy_node() rclpy.shutdown() diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/services/__init__.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/services/__init__.py index e69de29bb..f138f42af 100644 --- a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/services/__init__.py +++ b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/services/__init__.py @@ -0,0 +1,14 @@ +# Copyright (C) 2024 Robotec.AI +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/services/grounded_sam.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/services/grounded_sam.py index 5d76d703e..aaa00e2c3 100644 --- a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/services/grounded_sam.py +++ b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/services/grounded_sam.py @@ -18,6 +18,7 @@ from pathlib import Path import rclpy +from ament_index_python.packages import get_package_share_directory from rai_open_set_vision.vision_markup.segmenter import GDSegmenter from rclpy.node import Node @@ -48,9 +49,7 @@ def __init__(self): def _init_weight_path(self): try: - found_path = subprocess.check_output( - ["ros2", "pkg", "prefix", "rai_open_set_vision"] - ).decode("utf-8") + found_path = get_package_share_directory("rai_open_set_vision") install_path = ( Path(found_path.strip()) / "share" / "weights" / "sam2_hiera_large.pt" ) @@ -71,7 +70,7 @@ def _download_weights(self, path: Path): subprocess.run( [ "wget", - "https://dl.fbaipublicfiles.com/segment_anything_2/072824/sam2_hiera_large.pt" + "https://dl.fbaipublicfiles.com/segment_anything_2/072824/sam2_hiera_large.pt", "-O", path, ] @@ -81,12 +80,15 @@ def _download_weights(self, path: Path): raise Exception("Could not download weights") def segment_callback(self, request, response: str) -> str: - received_boxes = request.detections.detections.bboxes + received_boxes = [] + for detection in request.detections.detections: + received_boxes.append(detection.bbox) + image = request.source_img assert self.segmenter is not None - seg = self.segmenter.get_segmentation(image, received_boxes) - self.get_logger().info(seg) + masks, scores, logits = self.segmenter.get_segmentation(image, received_boxes) + self.get_logger().debug(str(masks)) response = "" return response diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/services/grounding_dino.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/services/grounding_dino.py index 71cad84ca..7dcefe268 100644 --- a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/services/grounding_dino.py +++ b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/services/grounding_dino.py @@ -19,6 +19,7 @@ from typing import TypedDict import rclpy +from ament_index_python.packages import get_package_share_directory from rai_open_set_vision.vision_markup.boxer import GDBoxer from rclpy.node import Node from sensor_msgs.msg import Image @@ -58,9 +59,7 @@ def __init__(self): def _init_weight_path(self) -> Path: try: - found_path = subprocess.check_output( - ["ros2", "pkg", "prefix", "rai_open_set_vision"] - ).decode("utf-8") + found_path = get_package_share_directory("rai_open_set_vision") install_path = ( Path(found_path.strip()) / "share" diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/vision_markup/__init__.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/vision_markup/__init__.py index e69de29bb..f138f42af 100644 --- a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/vision_markup/__init__.py +++ b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/vision_markup/__init__.py @@ -0,0 +1,14 @@ +# Copyright (C) 2024 Robotec.AI +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/vision_markup/boxer.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/vision_markup/boxer.py index 771e5f315..d45f85d6e 100644 --- a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/vision_markup/boxer.py +++ b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/vision_markup/boxer.py @@ -64,7 +64,9 @@ def __init__( weight_path: str | PathLike, use_cuda: bool = True, ): - self.cfg_path = __file__.replace("boxer.py", "configs/gdino_config.py") + self.cfg_path = __file__.replace( + "vision_markup/boxer.py", "configs/gdino_config.py" + ) self.weight_path = str(weight_path) if not use_cuda: self.model = Model(self.cfg_path, self.weight_path, device="cpu") diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/vision_markup/segmenter.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/vision_markup/segmenter.py index a44c17040..afb3fc73e 100644 --- a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/vision_markup/segmenter.py +++ b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/vision_markup/segmenter.py @@ -14,26 +14,36 @@ # from os import PathLike -from typing import List +from typing import List, NamedTuple +import hydra import numpy as np import torch from cv_bridge import CvBridge from sam2.build_sam import build_sam2 from sam2.sam2_image_predictor import SAM2ImagePredictor from sensor_msgs.msg import Image -from vision_msgs.msg import Detection2D +from vision_msgs.msg import BoundingBox2D from rai.tools.ros.utils import convert_ros_img_to_ndarray +class SegmentationResult(NamedTuple): + masks: List[np.ndarray] + scores: List[np.ndarray] + logits: List[np.ndarray] + + class GDSegmenter: def __init__( self, weight_path: str | PathLike, use_cuda: bool = True, ): - self.cfg_path = __file__.replace("segmenter.py", "seg_config.yml") + self.cfg_path = "seg_config.yml" + hydra.core.global_hydra.GlobalHydra.instance().clear() + hydra.initialize_config_module("rai_open_set_vision.configs") + self.weight_path = str(weight_path) if use_cuda: self.device = "cuda" if torch.cuda.is_available() else "cpu" @@ -45,32 +55,42 @@ def __init__( self.sam2_predictor = SAM2ImagePredictor(self.sam2_model) self.bridge = CvBridge() - def _get_boxes_xyxy(self, detections: List[Detection2D]) -> List[np.ndarray]: + def _get_boxes_xyxy(self, bboxes: List[BoundingBox2D]) -> List[np.ndarray]: data = [] - for detection in detections: - center_x = detection.bbox.center.position.x - center_y = detection.bbox.center.position.y + for bbox in bboxes: + center_x = bbox.center.position.x + center_y = bbox.center.position.y data.append( np.array( [ - center_x - detection.bbox.size_x / 2, - center_y - detection.bbox.size_y / 2, - center_x + detection.bbox.size_x / 2, - center_y + detection.bbox.size_y / 2, + center_x - bbox.size_x / 2, + center_y - bbox.size_y / 2, + center_x + bbox.size_x / 2, + center_y + bbox.size_y / 2, ] ) ) return data - def get_segmentation(self, image_msg: Image, detections: List[Detection2D]): + def get_segmentation( + self, image_msg: Image, ros_bboxes: List[BoundingBox2D] + ) -> SegmentationResult: img_array = convert_ros_img_to_ndarray(image_msg, image_msg.encoding) self.sam2_predictor.set_image(img_array) - bboxes = self._get_boxes_xyxy(detections) + bboxes = self._get_boxes_xyxy(ros_bboxes) - masks, scores, logits = self.sam2_predictor.predict_batch( - point_coords_batch=[], - point_labels_batch=[], - box_batch=bboxes, - multimask_output=False, - ) - return masks, scores, logits + all_masks: List[np.ndarray] = [] + all_scores: List[np.ndarray] = [] + all_logits: List[np.ndarray] = [] + for box in bboxes: + mask, score, logit = self.sam2_predictor.predict( + point_coords=None, + point_labels=None, + box=box, + multimask_output=False, + ) + all_masks.append(mask) + all_scores.append(score) + all_logits.append(logit) + + return SegmentationResult(all_masks, all_scores, all_logits) diff --git a/src/rai_extensions/rai_open_set_vision/setup.py b/src/rai_extensions/rai_open_set_vision/setup.py index 80c420895..580a0c245 100644 --- a/src/rai_extensions/rai_open_set_vision/setup.py +++ b/src/rai_extensions/rai_open_set_vision/setup.py @@ -24,6 +24,8 @@ name=package_name, version="0.1.0", packages=find_packages(exclude=["test"]), + include_package_data=True, + package_data={"": ["seg_config.yml"]}, data_files=[ ("share/ament_index/resource_index/packages", ["resource/" + package_name]), ("share/" + package_name, ["package.xml"]), @@ -42,6 +44,7 @@ entry_points={ "console_scripts": [ "grounding_dino = rai_open_set_vision.services.grounding_dino:main", + "grounded_sam = rai_open_set_vision.services.grounded_sam:main", "talker = rai_open_set_vision.examples.talker:main", ], }, diff --git a/src/rai_interfaces/CMakeLists.txt b/src/rai_interfaces/CMakeLists.txt index 5ef1a3fd8..2d590c3bd 100644 --- a/src/rai_interfaces/CMakeLists.txt +++ b/src/rai_interfaces/CMakeLists.txt @@ -21,6 +21,7 @@ rosidl_generate_interfaces(${PROJECT_NAME} "srv/StringList.srv" "msg/RAIDetectionArray.msg" "srv/RAIGroundingDino.srv" + "srv/RAIGroundedSam.srv" "action/Task.action" "action/TaskFeedback.action" "srv/WhatISee.srv" From 186182e7821b8dbbb535426c01080757bb07c67f Mon Sep 17 00:00:00 2001 From: rachwalk Date: Fri, 4 Oct 2024 14:05:13 +0200 Subject: [PATCH 34/84] docs: add GROUNDEDSAM reference --- docs/ros_packages.md | 2 +- .../rai_open_set_vision/launch/example_communication_launch.xml | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/ros_packages.md b/docs/ros_packages.md index 3057e8591..be69e62b5 100644 --- a/docs/ros_packages.md +++ b/docs/ros_packages.md @@ -5,7 +5,7 @@ RAI includes multiple configurable ROS 2 packages. | Package | Description | Documentation | | ----------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------- | | **rai_asr** | Automatic Speech Recognition node utilizes a combination of voice activity detection (VAD) and a speech recognition model to transcribe spoken language into text using [openai-whisper](https://github.com/openai/whisper). | [rai_asr](../src/rai_asr/README.md) | -| **rai_open_set_vision** | Package enabling use of [GroundingDINO](https://github.com/IDEA-Research/GroundingDINO) -- an open-set detection model with ROS 2. | [rai_open_set_vision](../src/rai_extensions/rai_open_set_vision/README.md) | +| **rai_open_set_vision** | Package enabling use of [GroundingDINO](https://github.com/IDEA-Research/GroundingDINO) and [GroundedSAM](https://github.com/IDEA-Research/Grounded-SAM-2) -- an open-set detection model with ROS 2. | [rai_open_set_vision](../src/rai_extensions/rai_open_set_vision/README.md) | | **rai_nomad** | Package integrating [NoMaD](https://general-navigation-models.github.io/nomad/index.html) -- an exploration model with ROS2. | [rai_nomad](../src/rai_extensions/rai_nomad) | | **rai_interfaces** | Definition of custom messages and services used in RAI. | | | **rai_whoami** | Configures and provides information about the robot identity. | [rai_whoami](create_robots_whoami.md) | diff --git a/src/rai_extensions/rai_open_set_vision/launch/example_communication_launch.xml b/src/rai_extensions/rai_open_set_vision/launch/example_communication_launch.xml index ddcd4df61..94ba45ef9 100644 --- a/src/rai_extensions/rai_open_set_vision/launch/example_communication_launch.xml +++ b/src/rai_extensions/rai_open_set_vision/launch/example_communication_launch.xml @@ -17,7 +17,7 @@ - + From 9331ea80a61d137deb8a020103546f346a085c7a Mon Sep 17 00:00:00 2001 From: Bartek Boczek <22739059+boczekbartek@users.noreply.github.com> Date: Sat, 5 Oct 2024 16:59:57 +0200 Subject: [PATCH 35/84] docs: adapt rosbot-xl docs to adhere to new ros2 action interface (#264) --- docs/demos/rosbot_xl.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/demos/rosbot_xl.md b/docs/demos/rosbot_xl.md index 1daccb3dc..7fb4fb821 100644 --- a/docs/demos/rosbot_xl.md +++ b/docs/demos/rosbot_xl.md @@ -73,14 +73,14 @@ python examples/rosbot-xl-generic-node-demo.py ```bash # Ask robot where it is. RAI will use camera to describe the environment -ros2 topic pub --once /task_addition_requests std_msgs/msg/String "data: 'Where are you now?'" +ros2 action send_goal -f /perform_task rai_interfaces/action/Task "{priority: 10, description: '', task: 'Where are you?'}" # See integration with the navigation stack -ros2 topic pub --once /task_addition_requests std_msgs/msg/String "data: 'Drive 1 meter forward'" -ros2 topic pub --once /task_addition_requests std_msgs/msg/String "data: 'Spin 90 degrees'" +ros2 action send_goal -f /perform_task rai_interfaces/action/Task "{priority: 10, description: '', task: 'Drive 1 meter forward'}" +ros2 action send_goal -f /perform_task rai_interfaces/action/Task "{priority: 10, description: '', task: 'Spin 90 degrees'}" # Try out more complicated tasks -ros2 topic pub --once /task_addition_requests std_msgs/msg/String "data: 'Drive forward if the path is clear, otherwise backward'" +ros2 action send_goal -f /perform_task rai_interfaces/action/Task "{priority: 10, description: '', task: ' Drive forward if the path is clear, otherwise backward'}" ``` > **NOTE**: For now agent is capable of performing only 1 task at once. From 39ca924e649776ca5d018991858cc72adf522bbe Mon Sep 17 00:00:00 2001 From: Maciej Majek <46171033+maciejmajek@users.noreply.github.com> Date: Tue, 8 Oct 2024 13:35:23 +0200 Subject: [PATCH 36/84] docs&refactor: clarity improvements (#267) --- README.md | 6 +-- docs/create_robots_whoami.md | 30 ++++++++++--- docs/developer_guide.md | 32 ++++++++++++-- src/rai/rai/cli/rai_cli.py | 46 ++++++++++---------- src/rai_hmi/rai_hmi/base.py | 2 +- src/rai_whoami/rai_whoami/rai_whoami_node.py | 8 ++-- tests/core/test_rai_cli.py | 2 +- 7 files changed, 85 insertions(+), 41 deletions(-) diff --git a/README.md b/README.md index 8c0d99bff..d5d1d85bb 100644 --- a/README.md +++ b/README.md @@ -47,7 +47,7 @@ The RAI framework aims to: - [Features](#features) - [Setup](#setup) - [Usage examples (demos)](#planned-demos) -- [Further documentation](#further-documentation) +- [Developer resources](#developer-resources) - [ROSCon 2024 Talk](#roscon-2024) ## Features @@ -156,7 +156,7 @@ Follow this guide: [husarion-rosbot-xl-demo](docs/demos.md) ## What's next? -Once you know your way around RAI, try the following challenges, with the aid the [developer guide](developer_guide.md): +Once you know your way around RAI, try the following challenges, with the aid the [developer guide](docs/developer_guide.md): - Run RAI on your own robot and talk to it, asking questions about what is in its documentation (and others!). - Implement additional tools and use them in your interaction. @@ -180,7 +180,7 @@ Please take a look at [Q&A](https://github.com/RobotecAI/rai/discussions/categor ### Developer Resources -See our [Developer Guide](docs/developer_guide.md). +See our [Developer Guide](docs/developer_guide.md) for a deeper dive into RAI, including instructions on creating a configuration specifically for your robot. ### Contributing diff --git a/docs/create_robots_whoami.md b/docs/create_robots_whoami.md index 08a2946f2..c55d573bf 100644 --- a/docs/create_robots_whoami.md +++ b/docs/create_robots_whoami.md @@ -6,6 +6,9 @@ To configure RAI for your robot, provide contents for your robot's so called `wh Your robot's `whoami` package serves as a configuration package for the `rai_whoami` node. +> [!TIP] +> The Human-Machine Interface (HMI), both text and voice versions, relies heavily on the whoami package. It uses the robot's identity, constitution, and documentation to provide context-aware responses and ensure the robot behaves according to its defined characteristics. + ## Example (Franka Emika Panda arm) 1. Setup the repository using 1st and 2nd step from [Setup](../README.md#setup) @@ -16,25 +19,38 @@ Your robot's `whoami` package serves as a configuration package for the `rai_who poetry run create_rai_ws --name panda --destination-directory src/examples ``` -3. Fill in the `src/examples/panda_whoami/description` folder with data:\ - 2.1 Save [this image](https://robodk.com/robot/img/Franka-Emika-Panda-robot.png) into `src/examples/panda_whoami/description/images`\ - 2.2 Save [this document](https://github.com/user-attachments/files/16417196/Franka.Emika.Panda.robot.-.RoboDK.pdf) in `src/examples/panda_whoami/description/documentation` - 2.3 Save [this urdf](https://github.com/frankaemika/franka_ros/blob/develop/franka_description/robots/panda/panda.urdf.xacro) in `src/examples/panda_whoami/description/urdf` +3. Fill in the `src/examples/panda_whoami/description` folder with data: + + 3.1. Save [this image](https://robodk.com/robot/img/Franka-Emika-Panda-robot.png) into `src/examples/panda_whoami/description/images` + + 3.2. Save [this document](https://github.com/user-attachments/files/16417196/Franka.Emika.Panda.robot.-.RoboDK.pdf) in `src/examples/panda_whoami/description/documentation` + + 3.3. Save [this urdf](https://github.com/frankaemika/franka_ros/blob/develop/franka_description/robots/panda/panda.urdf.xacro) in `src/examples/panda_whoami/description/urdf` 4. Run the `parse_whoami_package`. This will process the documentation, building it into a vector database, which is used by RAI agent to reason about its identity. -> **NOTE**: Parsing bigger documents might lead to costs. Embedding model can be configured in +> [!IMPORTANT] +> Parsing bigger documents might lead to costs. Embedding model can be configured in > [config.toml](../config.toml) (`ollama` works locally, see [docs/vendors.md](./vendors.md#ollama)). ```shell -poetry run parse_whoami_package src/examples/panda_whoami/description +poetry run parse_whoami_package src/examples/panda_whoami ``` +5. Optional: Examine the generated files + +After running the `parse_whoami_package` command, you can inspect the generated files in the `src/examples/panda_whoami/description/generated` directory. These files contain important information about your robot: + +- `robot_identity.txt`: Contains a detailed description of the robot's identity, capabilities, and characteristics. +- `robot_description.urdf.txt`: Provides a summary of the robot's URDF (Unified Robot Description Format), describing its physical structure. +- `robot_constitution.txt`: Outlines the ethical guidelines and operational rules for the robot. +- `faiss_index`: A directory containing the vector store of the robot's documentation, used for efficient information retrieval. + ## Testing You can test your new `panda_whoami` package by calling `rai_whoami` services: -2. Building the `rai_whoami` package and running the `rai_whoami_node` for your `Panda` robot: +1. Building the `rai_whoami` package and running the `rai_whoami_node` for your `Panda` robot: ```shell colcon build --symlink-install diff --git a/docs/developer_guide.md b/docs/developer_guide.md index 7a38aee27..a36adfa06 100644 --- a/docs/developer_guide.md +++ b/docs/developer_guide.md @@ -18,7 +18,7 @@ It is easily extendable, allowing developers to adapt and integrate new function ```python from rai import ROS2Agent -agent = ROS2Agent(vendor='openai') # openai or bedrock +agent = ROS2Agent() # vendor will be automatically initialized based on the config.toml print(agent("What topics, services, and actions are available?")) print(agent("Please describe the interfaces of two of the existing topics.")) print(agent("Please publish 'Hello RAI' to /chatter topic only once")) # make sure to listen first ros2 topic echo /chatter @@ -30,7 +30,33 @@ print(agent("Please publish 'Hello RAI' to /chatter topic only once")) # make su Follow instructions to [configure RAI identity for your robot](create_robots_whoami.md). -### 2. Implement new tools specific to your robot +### 2. Test Your Robot Using the Text HMI + +To run the fully initialized Streamlit HMI, use the following command, replacing `my_robot_whoami` with the name of the package you created: + +```bash +streamlit run src/rai_hmi/rai_hmi/text_hmi.py my_robot_whoami +``` + +To verify if Streamlit successfully loaded the configuration: + +1. Expand the "System status" menu in the Streamlit interface. + +2. Check for the following indicators: + - "robot_database": true + - "system_prompt": true + +If both indicators are present and set to true, your configuration has been loaded correctly. You can now interact with your robot by: + +1. Asking about its identity and purpose + +2. Inquiring about its capabilities + +3. Requesting information on the ROS topics it can access + +This interaction will help you verify that the robot's 'whoami' package is functioning as intended and providing accurate information about your robot's configuration. + +### 3. Implement new tools specific to your robot RAI has general capabilities to interact through ROS interfaces such as actions and topics. However, you can extend RAI with tools dedicated to what your robot needs to do. @@ -77,7 +103,7 @@ def state_retriever(): ``` -### 3. Run the agent with new tools +### 4. Run the agent with new tools Once you have implemented your tools, you can run the agent with these new tools as follows: diff --git a/src/rai/rai/cli/rai_cli.py b/src/rai/rai/cli/rai_cli.py index e302ca0c0..c7e00623a 100644 --- a/src/rai/rai/cli/rai_cli.py +++ b/src/rai/rai/cli/rai_cli.py @@ -38,24 +38,20 @@ def parse_whoami_package(): description="Parse robot whoami package. Script builds a vector store, creates a robot identity and a URDF description." ) parser.add_argument( - "documentation_root", type=str, help="Path to the root of the documentation" - ) - parser.add_argument( - "--output", - type=str, - required=False, - default=None, - help="Path to the output directory", + "whoami_package_root", type=str, help="Path to the root of the whoami package" ) + args = parser.parse_args() - save_dir = args.output if args.output is not None else args.documentation_root + save_dir = Path(args.whoami_package_root) / "description" / "generated" + description_path = Path(args.whoami_package_root) / "description" + save_dir.mkdir(parents=True, exist_ok=True) llm = get_llm_model(model_type="simple_model") embeddings_model = get_embeddings_model() def calculate_urdf_tokens(): combined_urdf = "" - xacro_files = glob.glob(args.documentation_root + "/urdf/*.xacro") + xacro_files = glob.glob(str(description_path / "urdf" / "*.xacro")) for xacro_file in xacro_files: combined_urdf += f"# {xacro_file}\n" combined_urdf += open(xacro_file, "r").read() @@ -65,18 +61,23 @@ def calculate_urdf_tokens(): def build_urdf_description(): logger.info("Building the URDF description...") combined_urdf = "" - xacro_files = glob.glob(args.documentation_root + "/urdf/*.xacro") + xacro_files = glob.glob(str(description_path / "urdf" / "*.xacro")) for xacro_file in xacro_files: combined_urdf += f"# {xacro_file}\n" combined_urdf += open(xacro_file, "r").read() combined_urdf += "\n\n" prompt = "You will be given a URDF file. Your task is to create a short and detailed description of links and joints. " - parsed_urdf = llm.invoke( - [SystemMessage(content=prompt), HumanMessage(content=str(combined_urdf))] - ).content - - with open(save_dir + "/robot_description.urdf.txt", "w") as f: + parsed_urdf = "" + if len(combined_urdf): + parsed_urdf = llm.invoke( + [ + SystemMessage(content=prompt), + HumanMessage(content=str(combined_urdf)), + ] + ).content + + with open(str(save_dir / "robot_description.urdf.txt"), "w") as f: f.write(parsed_urdf) logger.info("Done") @@ -84,7 +85,7 @@ def build_docs_vector_store(): logger.info("Building the robot docs vector store...") faiss_index = FAISS.from_documents(docs, embeddings_model) faiss_index.add_documents(docs) - faiss_index.save_local(save_dir) + faiss_index.save_local(str(save_dir)) def build_robot_identity(): logger.info("Building the robot identity...") @@ -98,7 +99,7 @@ def build_robot_identity(): "Your reply should start with I am a ..." ) - images = glob.glob(args.documentation_root + "/images/*") + images = glob.glob(str(description_path / "images" / "*")) messages = [SystemMessage(content=prompt)] + [ HumanMultimodalMessage( @@ -109,12 +110,12 @@ def build_robot_identity(): output = llm.invoke(messages) assert isinstance(output.content, str), "Malformed output" - with open(save_dir + "/robot_identity.txt", "w") as f: + with open(str(save_dir / "robot_identity.txt"), "w") as f: f.write(output.content) logger.info("Done") docs = ingest_documentation( - documentation_root=args.documentation_root + "/documentation" + documentation_root=str(description_path / "documentation") ) documentation = str([doc.page_content for doc in docs]) n_tokens = len(documentation) // 4.0 @@ -189,7 +190,8 @@ def create_rai_ws(): (package_path / "documentation").mkdir(exist_ok=True) (package_path / "images").mkdir(exist_ok=True) - (package_path / "robot_constitution.txt").touch() + (package_path / "generated").mkdir(exist_ok=True) + (package_path / "generated" / "robot_constitution.txt").touch() default_constitution_path = ( "src/rai/rai/cli/resources/default_robot_constitution.txt" @@ -197,7 +199,7 @@ def create_rai_ws(): with open(default_constitution_path, "r") as file: default_constitution = file.read() - with open(f"{package_path}/robot_constitution.txt", "w") as file: + with open(f"{package_path}/generated/robot_constitution.txt", "w") as file: file.write(default_constitution) # Modify setup.py file diff --git a/src/rai_hmi/rai_hmi/base.py b/src/rai_hmi/rai_hmi/base.py index c2193eb8a..54ba534cc 100644 --- a/src/rai_hmi/rai_hmi/base.py +++ b/src/rai_hmi/rai_hmi/base.py @@ -199,7 +199,7 @@ def _load_documentation(self) -> Optional[FAISS]: try: faiss_index = FAISS.load_local( get_package_share_directory(self.robot_description_package) - + "/description", + + "/description/generated", get_embeddings_model(), allow_dangerous_deserialization=True, ) diff --git a/src/rai_whoami/rai_whoami/rai_whoami_node.py b/src/rai_whoami/rai_whoami/rai_whoami_node.py index ca5de21a5..07d7c5584 100644 --- a/src/rai_whoami/rai_whoami/rai_whoami_node.py +++ b/src/rai_whoami/rai_whoami/rai_whoami_node.py @@ -67,7 +67,7 @@ def __init__(self): ) # type: ignore self.robot_constitution_path = os.path.join( get_package_share_directory(self.robot_description_package), - "description/robot_constitution.txt", + "description/generated/robot_constitution.txt", ) with open(self.robot_constitution_path, "r") as file: @@ -83,7 +83,7 @@ def __init__(self): def _load_documentation(self) -> FAISS: faiss_index = FAISS.load_local( get_package_share_directory(self.robot_description_package) - + "/description", + + "/description/generated", get_embeddings_model(), allow_dangerous_deserialization=True, ) @@ -95,7 +95,7 @@ def get_urdf_callback( """Return URDF description""" urdf_path = ( get_package_share_directory(self.robot_description_package) - + "/description/robot_description.urdf.txt" + + "/description/generated/robot_description.urdf.txt" ) with open(urdf_path, "r") as f: urdf = f.read() @@ -175,7 +175,7 @@ def get_identity_callback( """Return robot identity""" identity_path = ( get_package_share_directory(self.robot_description_package) - + "/description/robot_identity.txt" + + "/description/generated/robot_identity.txt" ) with open(identity_path, "r") as f: identity = f.read() diff --git a/tests/core/test_rai_cli.py b/tests/core/test_rai_cli.py index be49b0703..19f16f97a 100644 --- a/tests/core/test_rai_cli.py +++ b/tests/core/test_rai_cli.py @@ -44,5 +44,5 @@ def test_create_rai_ws(rai_ws: Path): assert os.path.exists(whoami_directory), "Description folder is missing" - description_files = os.listdir(whoami_directory / "description") + description_files = os.listdir(whoami_directory / "description" / "generated") assert "robot_constitution.txt" in description_files From 0f1388289469ece21e080a4c4df3f251faceb858 Mon Sep 17 00:00:00 2001 From: Mateusz Skrobek <36864435+skrobinho@users.noreply.github.com> Date: Thu, 17 Oct 2024 12:05:34 +0200 Subject: [PATCH 37/84] CI: pre-commit runner ubuntu image update (#275) --- .github/workflows/pre-commit.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/pre-commit.yml b/.github/workflows/pre-commit.yml index eb75e1bab..48e30077c 100644 --- a/.github/workflows/pre-commit.yml +++ b/.github/workflows/pre-commit.yml @@ -9,7 +9,7 @@ on: jobs: pre-commit: - runs-on: ubuntu-latest + runs-on: ubuntu-22.04 steps: - name: Checkout code From e9162e9a2b33e00d5f1cb349ad1fb0c042fb1afc Mon Sep 17 00:00:00 2001 From: rachwalk Date: Tue, 1 Oct 2024 14:56:26 +0200 Subject: [PATCH 38/84] feat: basic segmentation tooling, tools in openset extension restructured --- .../rai_open_set_vision/tools/__init__.py | 20 +++++++++ .../{tools.py => tools/gdino_tools.py} | 0 .../tools/segmentation_tools.py | 41 +++++++++++++++++++ 3 files changed, 61 insertions(+) create mode 100644 src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/__init__.py rename src/rai_extensions/rai_open_set_vision/rai_open_set_vision/{tools.py => tools/gdino_tools.py} (100%) create mode 100644 src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/segmentation_tools.py diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/__init__.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/__init__.py new file mode 100644 index 000000000..9001f81dc --- /dev/null +++ b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/__init__.py @@ -0,0 +1,20 @@ +# Copyright (C) 2024 Robotec.AI +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from .gdino_tools import GetDetectionTool, GetDistanceToObjectsTool + +__all__ = [ + "GetDistanceToObjectsTool", + "GetDetectionTool", +] diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/gdino_tools.py similarity index 100% rename from src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools.py rename to src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/gdino_tools.py diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/segmentation_tools.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/segmentation_tools.py new file mode 100644 index 000000000..961607e5b --- /dev/null +++ b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/segmentation_tools.py @@ -0,0 +1,41 @@ +# Copyright (C) 2024 Robotec.AI +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from typing import Optional + +import rclpy +from pydantic import Field +from rclpy import Future + +from rai.node import RaiBaseNode +from rai.tools.ros import Ros2BaseTool +from rai_interfaces.srv import RAIGroundingDino + + +class CompositeBaseTool(Ros2BaseTool): + node: RaiBaseNode = Field(..., exclude=True, required=True) + + def _spin(self, future: Future) -> Optional[RAIGroundingDino.Response]: + rclpy.spin_once(self.node) + if future.done(): + try: + response = future.result() + except Exception as e: + self.node.get_logger().info("Service call failed %r" % (e,)) + raise Exception("Service call failed %r" % (e,)) + else: + assert response is not None + self.node.get_logger().info(f"{response.detections}") + return response + return None From 95b993b6bcdff995d926598e4f774fe697968b82 Mon Sep 17 00:00:00 2001 From: rachwalk Date: Wed, 2 Oct 2024 16:59:03 +0200 Subject: [PATCH 39/84] feat: basic implementation stub of grabbing point tool --- .../services/grounded_sam.py | 23 +++- .../rai_open_set_vision/tools/__init__.py | 6 +- .../rai_open_set_vision/tools/gdino_tools.py | 2 +- .../tools/segmentation_tools.py | 127 +++++++++++++++++- .../vision_markup/segmenter.py | 18 +-- src/rai_interfaces/srv/RAIGroundedSam.srv | 2 +- 6 files changed, 146 insertions(+), 32 deletions(-) diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/services/grounded_sam.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/services/grounded_sam.py index aaa00e2c3..987a32124 100644 --- a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/services/grounded_sam.py +++ b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/services/grounded_sam.py @@ -16,11 +16,18 @@ import os import subprocess from pathlib import Path +from typing import List +import numpy as np import rclpy +<<<<<<< HEAD from ament_index_python.packages import get_package_share_directory +======= +from cv_bridge import CvBridge +>>>>>>> 1b5c03b (feat: basic implementation stub of grabbing point tool) from rai_open_set_vision.vision_markup.segmenter import GDSegmenter from rclpy.node import Node +from sensor_msgs.msg import Image from rai_interfaces.srv import RAIGroundedSam @@ -79,7 +86,7 @@ def _download_weights(self, path: Path): self.get_logger().error("Could not download weights") raise Exception("Could not download weights") - def segment_callback(self, request, response: str) -> str: + def segment_callback(self, request, response: str) -> List[Image]: received_boxes = [] for detection in request.detections.detections: received_boxes.append(detection.bbox) @@ -87,11 +94,15 @@ def segment_callback(self, request, response: str) -> str: image = request.source_img assert self.segmenter is not None - masks, scores, logits = self.segmenter.get_segmentation(image, received_boxes) - self.get_logger().debug(str(masks)) - response = "" - - return response + masks = self.segmenter.get_segmentation(image, received_boxes) + self.get_logger().info(masks) + bridge = CvBridge() + img_arr = [] + for mask in masks: + arr = (mask * 255).astype(np.uint8) # Convert binary 0/1 to 0/255 + img_arr.append(bridge.cv2_to_imgmsg(arr, encoding="mono8")) + + return img_arr def main(args=None): diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/__init__.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/__init__.py index 9001f81dc..4d0fb45d3 100644 --- a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/__init__.py +++ b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/__init__.py @@ -13,8 +13,6 @@ # limitations under the License. from .gdino_tools import GetDetectionTool, GetDistanceToObjectsTool +from .segmentation_tools import GetGrabbingPointTool -__all__ = [ - "GetDistanceToObjectsTool", - "GetDetectionTool", -] +__all__ = ["GetDistanceToObjectsTool", "GetDetectionTool", "GetGrabbingPointTool"] diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/gdino_tools.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/gdino_tools.py index 631aac8e4..ad6dea1b6 100644 --- a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/gdino_tools.py +++ b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/gdino_tools.py @@ -226,7 +226,7 @@ def _run( conversion_ratio = self.node.get_parameter("conversion_ratio").value if not isinstance(conversion_ratio, float): logger.error( - f"Parametr conversion_ratio was set badly: {type(threshold)}: {threshold} expected float. Using default value 0.001" + f"Parametr conversion_ratio was set badly: {type(conversion_ratio)}: {conversion_ratio} expected float. Using default value 0.001" ) conversion_ratio = 0.001 except (ParameterUninitializedException, ParameterNotDeclaredException): diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/segmentation_tools.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/segmentation_tools.py index 961607e5b..df3c83ef4 100644 --- a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/segmentation_tools.py +++ b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/segmentation_tools.py @@ -12,21 +12,51 @@ # See the License for the specific language governing permissions and # limitations under the License. -from typing import Optional +from typing import Optional, Type import rclpy +import sensor_msgs.msg from pydantic import Field +from rai_open_set_vision import GDINO_SERVICE_NAME from rclpy import Future +from rclpy.exceptions import ( + ParameterNotDeclaredException, + ParameterUninitializedException, +) from rai.node import RaiBaseNode -from rai.tools.ros import Ros2BaseTool -from rai_interfaces.srv import RAIGroundingDino +from rai.tools.ros import Ros2BaseInput, Ros2BaseTool +from rai_interfaces.srv import RAIGroundedSam, RAIGroundingDino +# --------------------- Inputs --------------------- -class CompositeBaseTool(Ros2BaseTool): - node: RaiBaseNode = Field(..., exclude=True, required=True) - def _spin(self, future: Future) -> Optional[RAIGroundingDino.Response]: +class GetGrabbingPointInput(Ros2BaseInput): + camera_topic: str = Field( + ..., + description="Ros2 topic for the camera image containing image to run detection on.", + ) + depth_topic: str = Field( + ..., + description="Ros2 topic for the depth image containing data to run distance calculations on", + ) + object_name: str = Field( + ..., description="Natural language names of the object to grab" + ) + + +# --------------------- Tools --------------------- +class GetGrabbingPointTool(Ros2BaseTool): + node: RaiBaseNode = Field(..., exclude=True) + + name: str = "" + description: str = "" + + args_schema: Type[GetGrabbingPointInput] = GetGrabbingPointInput + + def _get_gdino_response( + self, future: Future + ) -> Optional[RAIGroundingDino.Response]: rclpy.spin_once(self.node) if future.done(): try: @@ -39,3 +69,88 @@ def _spin(self, future: Future) -> Optional[RAIGroundingDino.Response]: self.node.get_logger().info(f"{response.detections}") return response return None + + def _get_gsam_response(self, future: Future) -> Optional[RAIGroundedSam.Response]: + rclpy.spin_once(self.node) + if future.done(): + try: + response = future.result() + except Exception as e: + self.node.get_logger().info("Service call failed %r" % (e,)) + raise Exception("Service call failed %r" % (e,)) + else: + assert response is not None + self.node.get_logger().debug(f"{response}") + return response + return None + + def _get_image_message(self, topic: str) -> sensor_msgs.msg.Image: + msg = self.node.get_raw_message_from_topic(topic) + if type(msg) is sensor_msgs.msg.Image: + return msg + else: + raise Exception("Received wrong message") + + def _call_gdino_node( + self, camera_img_message: sensor_msgs.msg.Image, object_name: str + ) -> Future: + cli = self.node.create_client(RAIGroundingDino, GDINO_SERVICE_NAME) + while not cli.wait_for_service(timeout_sec=1.0): + self.node.get_logger().info("service not available, waiting again...") + req = RAIGroundingDino.Request() + req.source_img = camera_img_message + req.classes = object_name + req.box_threshold = 0.4 # TODO make this somehow configurable + req.text_threshold = 0.4 + + future = cli.call_async(req) + return future + + def _call_gsam_node( + self, camera_img_message: sensor_msgs.msg.Image, data: RAIGroundingDino.Response + ): + cli = self.node.create_client(RAIGroundedSam, "grounded_sam_segment") + while not cli.wait_for_service(timeout_sec=1.0): + self.node.get_logger().info("service not available, waiting again...") + req = RAIGroundedSam.Request() + req.detections = data.detections + req.source_img = camera_img_message + future = cli.call_async(req) + + return future + + def _run( + self, + camera_topic: str, + depth_topic: str, + object_name: str, + ): + camera_img_msg = self._get_image_message(camera_topic) + # depth_img_msg = self._get_image_message(depth_topic) + _ = self._get_image_message(depth_topic) + + future = self._call_gdino_node(camera_img_msg, object_name) + logger = self.node.get_logger() + try: + conversion_ratio = self.node.get_parameter("conversion_ratio").value + if not isinstance(conversion_ratio, float): + logger.error( + f"Parametr conversion_ratio was set badly: {type(conversion_ratio)}: {conversion_ratio} expected float. Using default value 0.001" + ) + conversion_ratio = 0.001 + except (ParameterUninitializedException, ParameterNotDeclaredException): + logger.warning( + "Parameter conversion_ratio not found in node, using default value: 0.001" + ) + conversion_ratio = 0.001 + resolved = None + while rclpy.ok(): + resolved = self._get_gdino_response(future) + if resolved is not None: + break + + assert resolved is not None + future = self._call_gsam_node(camera_img_msg, resolved) + + while rclpy.ok(): + resolved = self._get_gsam_response(future) diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/vision_markup/segmenter.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/vision_markup/segmenter.py index afb3fc73e..d68556586 100644 --- a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/vision_markup/segmenter.py +++ b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/vision_markup/segmenter.py @@ -14,7 +14,7 @@ # from os import PathLike -from typing import List, NamedTuple +from typing import List import hydra import numpy as np @@ -28,12 +28,6 @@ from rai.tools.ros.utils import convert_ros_img_to_ndarray -class SegmentationResult(NamedTuple): - masks: List[np.ndarray] - scores: List[np.ndarray] - logits: List[np.ndarray] - - class GDSegmenter: def __init__( self, @@ -74,23 +68,19 @@ def _get_boxes_xyxy(self, bboxes: List[BoundingBox2D]) -> List[np.ndarray]: def get_segmentation( self, image_msg: Image, ros_bboxes: List[BoundingBox2D] - ) -> SegmentationResult: + ) -> List[np.ndarray]: img_array = convert_ros_img_to_ndarray(image_msg, image_msg.encoding) self.sam2_predictor.set_image(img_array) bboxes = self._get_boxes_xyxy(ros_bboxes) all_masks: List[np.ndarray] = [] - all_scores: List[np.ndarray] = [] - all_logits: List[np.ndarray] = [] for box in bboxes: - mask, score, logit = self.sam2_predictor.predict( + mask, _, _ = self.sam2_predictor.predict( point_coords=None, point_labels=None, box=box, multimask_output=False, ) all_masks.append(mask) - all_scores.append(score) - all_logits.append(logit) - return SegmentationResult(all_masks, all_scores, all_logits) + return all_masks diff --git a/src/rai_interfaces/srv/RAIGroundedSam.srv b/src/rai_interfaces/srv/RAIGroundedSam.srv index 1bc61a6ff..ac6c431f1 100644 --- a/src/rai_interfaces/srv/RAIGroundedSam.srv +++ b/src/rai_interfaces/srv/RAIGroundedSam.srv @@ -16,4 +16,4 @@ RAIDetectionArray detections sensor_msgs/Image source_img --- -string status +sensor_msgs/Image[] source_img From add62eb427caf1354b72a29cae723b13047c2842 Mon Sep 17 00:00:00 2001 From: rachwalk Date: Fri, 4 Oct 2024 17:28:19 +0200 Subject: [PATCH 40/84] feat: add tool for getting segmentations --- src/rai/rai/tools/ros/utils.py | 10 +++++++ .../services/grounded_sam.py | 8 +++--- .../rai_open_set_vision/tools/__init__.py | 4 +-- .../tools/segmentation_tools.py | 26 ++++++++++++++----- src/rai_interfaces/srv/RAIGroundedSam.srv | 2 +- 5 files changed, 37 insertions(+), 13 deletions(-) diff --git a/src/rai/rai/tools/ros/utils.py b/src/rai/rai/tools/ros/utils.py index d8a0ae88a..8b4a84dec 100644 --- a/src/rai/rai/tools/ros/utils.py +++ b/src/rai/rai/tools/ros/utils.py @@ -48,6 +48,10 @@ def convert_ros_img_to_ndarray( image_data = np.frombuffer(msg.data, np.uint8) image = image_data.reshape((msg.height, msg.width, 3)) image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB) + elif encoding == "rgba8": + image_data = np.frombuffer(msg.data, np.uint8) + image = image_data.reshape((msg.height, msg.width, 4)) + image = cv2.cvtColor(image, cv2.COLOR_RGBA2RGB) elif encoding == "mono8": image_data = np.frombuffer(msg.data, np.uint8) image = image_data.reshape((msg.height, msg.width)) @@ -78,6 +82,12 @@ def convert_ros_img_to_base64(msg: sensor_msgs.msg.Image) -> str: return base64.b64encode(bytes(cv2.imencode(".png", cv_image)[1])).decode( "utf-8" ) + elif cv_image.shape[-1] == 1: + cv_image = cv2.cvtColor(cv_image, cv2.GRAY2RGB) + return base64.b64encode(bytes(cv2.imencode(".png", cv_image)[1])).decode( + "utf-8" + ) + else: cv_image = cv2.cvtColor(cv_image, cv2.COLOR_BGR2RGB) image_data = cv2.imencode(".png", cv_image)[1].tostring() # type: ignore diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/services/grounded_sam.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/services/grounded_sam.py index 987a32124..0fbfb563a 100644 --- a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/services/grounded_sam.py +++ b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/services/grounded_sam.py @@ -86,7 +86,7 @@ def _download_weights(self, path: Path): self.get_logger().error("Could not download weights") raise Exception("Could not download weights") - def segment_callback(self, request, response: str) -> List[Image]: + def segment_callback(self, request, response: RAIGroundedSam.Response): received_boxes = [] for detection in request.detections.detections: received_boxes.append(detection.bbox) @@ -95,14 +95,16 @@ def segment_callback(self, request, response: str) -> List[Image]: assert self.segmenter is not None masks = self.segmenter.get_segmentation(image, received_boxes) - self.get_logger().info(masks) bridge = CvBridge() img_arr = [] for mask in masks: + if len(mask.shape) > 2: # Check if the mask has multiple channels + mask = np.squeeze(mask) arr = (mask * 255).astype(np.uint8) # Convert binary 0/1 to 0/255 img_arr.append(bridge.cv2_to_imgmsg(arr, encoding="mono8")) - return img_arr + response.masks = img_arr + return response def main(args=None): diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/__init__.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/__init__.py index 4d0fb45d3..fc6b482e4 100644 --- a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/__init__.py +++ b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/__init__.py @@ -13,6 +13,6 @@ # limitations under the License. from .gdino_tools import GetDetectionTool, GetDistanceToObjectsTool -from .segmentation_tools import GetGrabbingPointTool +from .segmentation_tools import GetSegmentationTool -__all__ = ["GetDistanceToObjectsTool", "GetDetectionTool", "GetGrabbingPointTool"] +__all__ = ["GetDistanceToObjectsTool", "GetDetectionTool", "GetSegmentationTool"] diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/segmentation_tools.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/segmentation_tools.py index df3c83ef4..1a19e83eb 100644 --- a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/segmentation_tools.py +++ b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/segmentation_tools.py @@ -26,11 +26,22 @@ from rai.node import RaiBaseNode from rai.tools.ros import Ros2BaseInput, Ros2BaseTool +from rai.tools.ros.utils import convert_ros_img_to_base64 from rai_interfaces.srv import RAIGroundedSam, RAIGroundingDino # --------------------- Inputs --------------------- +class GetSegmentationInput(Ros2BaseInput): + camera_topic: str = Field( + ..., + description="Ros2 topic for the camera image containing image to run detection on.", + ) + object_name: str = Field( + ..., description="Natural language names of the object to grab" + ) + + class GetGrabbingPointInput(Ros2BaseInput): camera_topic: str = Field( ..., @@ -46,13 +57,13 @@ class GetGrabbingPointInput(Ros2BaseInput): # --------------------- Tools --------------------- -class GetGrabbingPointTool(Ros2BaseTool): +class GetSegmentationTool(Ros2BaseTool): node: RaiBaseNode = Field(..., exclude=True) name: str = "" description: str = "" - args_schema: Type[GetGrabbingPointInput] = GetGrabbingPointInput + args_schema: Type[GetSegmentationInput] = GetSegmentationInput def _get_gdino_response( self, future: Future @@ -66,7 +77,6 @@ def _get_gdino_response( raise Exception("Service call failed %r" % (e,)) else: assert response is not None - self.node.get_logger().info(f"{response.detections}") return response return None @@ -80,7 +90,6 @@ def _get_gsam_response(self, future: Future) -> Optional[RAIGroundedSam.Response raise Exception("Service call failed %r" % (e,)) else: assert response is not None - self.node.get_logger().debug(f"{response}") return response return None @@ -122,12 +131,9 @@ def _call_gsam_node( def _run( self, camera_topic: str, - depth_topic: str, object_name: str, ): camera_img_msg = self._get_image_message(camera_topic) - # depth_img_msg = self._get_image_message(depth_topic) - _ = self._get_image_message(depth_topic) future = self._call_gdino_node(camera_img_msg, object_name) logger = self.node.get_logger() @@ -152,5 +158,11 @@ def _run( assert resolved is not None future = self._call_gsam_node(camera_img_msg, resolved) + ret = [] while rclpy.ok(): resolved = self._get_gsam_response(future) + if resolved is not None: + for img_msg in resolved.masks: + ret.append(convert_ros_img_to_base64(img_msg)) + break + return "", {"segmentations": ret} diff --git a/src/rai_interfaces/srv/RAIGroundedSam.srv b/src/rai_interfaces/srv/RAIGroundedSam.srv index ac6c431f1..dcb4659ea 100644 --- a/src/rai_interfaces/srv/RAIGroundedSam.srv +++ b/src/rai_interfaces/srv/RAIGroundedSam.srv @@ -16,4 +16,4 @@ RAIDetectionArray detections sensor_msgs/Image source_img --- -sensor_msgs/Image[] source_img +sensor_msgs/Image[] masks From 84d8743c2f9df1ce9b807c5ba86ac63b4f3b8e0a Mon Sep 17 00:00:00 2001 From: rachwalk Date: Fri, 4 Oct 2024 18:44:23 +0200 Subject: [PATCH 41/84] feat: add tool for getting point from segmentation --- poetry.lock | 228 +++++++++++++++++- pyproject.toml | 1 + src/rai/rai/tools/ros/utils.py | 3 + .../rai_open_set_vision/tools/__init__.py | 9 +- .../tools/segmentation_tools.py | 131 +++++++++- 5 files changed, 362 insertions(+), 10 deletions(-) diff --git a/poetry.lock b/poetry.lock index 530711d10..cbbf17a11 100644 --- a/poetry.lock +++ b/poetry.lock @@ -832,6 +832,21 @@ traitlets = ">=4" [package.extras] test = ["pytest"] +[[package]] +name = "configargparse" +version = "1.7" +description = "A drop-in replacement for argparse that allows options to also be set via config files and/or environment variables." +optional = false +python-versions = ">=3.5" +files = [ + {file = "ConfigArgParse-1.7-py3-none-any.whl", hash = "sha256:d249da6591465c6c26df64a9f73d2536e743be2f244eb3ebe61114af2f94f86b"}, + {file = "ConfigArgParse-1.7.tar.gz", hash = "sha256:e7067471884de5478c58a511e529f0f9bd1c66bfef1dea90935438d6c23306d1"}, +] + +[package.extras] +test = ["PyYAML", "mock", "pytest"] +yaml = ["PyYAML"] + [[package]] name = "contourpy" version = "1.3.0" @@ -1006,6 +1021,72 @@ files = [ {file = "cython-3.0.11.tar.gz", hash = "sha256:7146dd2af8682b4ca61331851e6aebce9fe5158e75300343f80c07ca80b1faff"}, ] +[[package]] +name = "dash" +version = "2.18.1" +description = "A Python framework for building reactive web-apps. Developed by Plotly." +optional = false +python-versions = ">=3.8" +files = [ + {file = "dash-2.18.1-py3-none-any.whl", hash = "sha256:07c4513bb5f79a4b936847a0b49afc21dbd4b001ff77ea78d4d836043e211a07"}, + {file = "dash-2.18.1.tar.gz", hash = "sha256:ffdf89690d734f6851ef1cb344222826ffb11ad2214ab9172668bf8aadd75d12"}, +] + +[package.dependencies] +dash-core-components = "2.0.0" +dash-html-components = "2.0.0" +dash-table = "5.0.0" +Flask = ">=1.0.4,<3.1" +importlib-metadata = "*" +nest-asyncio = "*" +plotly = ">=5.0.0" +requests = "*" +retrying = "*" +setuptools = "*" +typing-extensions = ">=4.1.1" +Werkzeug = "<3.1" + +[package.extras] +celery = ["celery[redis] (>=5.1.2)", "redis (>=3.5.3)"] +ci = ["black (==22.3.0)", "dash-dangerously-set-inner-html", "dash-flow-example (==0.0.5)", "flake8 (==7.0.0)", "flaky (==3.8.1)", "flask-talisman (==1.0.0)", "jupyterlab (<4.0.0)", "mimesis (<=11.1.0)", "mock (==4.0.3)", "numpy (<=1.26.3)", "openpyxl", "orjson (==3.10.3)", "pandas (>=1.4.0)", 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python_version < \"3.11\""}, - {version = ">=1.26.0", markers = "python_version >= \"3.12\""}, ] [[package]] @@ -4357,9 +4542,9 @@ files = [ [package.dependencies] numpy = [ + {version = ">=1.26.0", markers = "python_version >= \"3.12\""}, {version = ">=1.23.2", markers = "python_version == \"3.11\""}, {version = ">=1.22.4", markers = "python_version < \"3.11\""}, - {version = ">=1.26.0", markers = "python_version >= \"3.12\""}, ] python-dateutil = ">=2.8.2" pytz = ">=2020.1" @@ -4557,6 +4742,21 @@ docs = ["furo (>=2024.8.6)", "proselint (>=0.14)", "sphinx (>=8.0.2)", "sphinx-a test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=8.3.2)", "pytest-cov (>=5)", "pytest-mock (>=3.14)"] type = ["mypy (>=1.11.2)"] +[[package]] +name = "plotly" +version = "5.24.1" +description = "An open-source, interactive data visualization library for Python" +optional = false +python-versions = ">=3.8" +files = [ + {file = "plotly-5.24.1-py3-none-any.whl", hash = "sha256:f67073a1e637eb0dc3e46324d9d51e2fe76e9727c892dde64ddf1e1b51f29089"}, + {file = "plotly-5.24.1.tar.gz", hash = "sha256:dbc8ac8339d248a4bcc36e08a5659bacfe1b079390b8953533f4eb22169b4bae"}, +] + +[package.dependencies] +packaging = "*" +tenacity = ">=6.2.0" + [[package]] name = "pluggy" version = "1.5.0" @@ -5717,6 +5917,20 @@ urllib3 = ">=1.21.1,<3" socks = ["PySocks (>=1.5.6,!=1.5.7)"] use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"] +[[package]] +name = "retrying" +version = "1.3.4" +description = "Retrying" +optional = false +python-versions = "*" +files = [ + {file = "retrying-1.3.4-py3-none-any.whl", hash = "sha256:8cc4d43cb8e1125e0ff3344e9de678fefd85db3b750b81b2240dc0183af37b35"}, + {file = "retrying-1.3.4.tar.gz", hash = "sha256:345da8c5765bd982b1d1915deb9102fd3d1f7ad16bd84a9700b85f64d24e8f3e"}, +] + +[package.dependencies] +six = ">=1.7.0" + [[package]] name = "rf-groundingdino" version = "0.2.0" @@ -8131,4 +8345,4 @@ type = ["pytest-mypy"] [metadata] lock-version = "2.0" python-versions = "^3.10, <3.13" -content-hash = "e6b6c2e991976202012136c30b5f54149840ce7e2133580802245831e53b9356" +content-hash = "a554761e71066f06256569b26640030e8d05c3056de4eea8f066df6e839b8bed" diff --git a/pyproject.toml b/pyproject.toml index d6d87ef34..62bcf80c9 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -51,6 +51,7 @@ streamlit = "^1.37.1" deprecated = "^1.2.14" tomli = "^2.0.1" openwakeword = { git = "https://github.com/maciejmajek/openWakeWord.git", branch = "chore/remove-tflite-backend" } +open3d = "^0.18.0" [tool.poetry.group.dev.dependencies] ipykernel = "^6.29.4" diff --git a/src/rai/rai/tools/ros/utils.py b/src/rai/rai/tools/ros/utils.py index 8b4a84dec..4b334b4b5 100644 --- a/src/rai/rai/tools/ros/utils.py +++ b/src/rai/rai/tools/ros/utils.py @@ -58,6 +58,9 @@ def convert_ros_img_to_ndarray( elif encoding == "16uc1": image_data = np.frombuffer(msg.data, np.uint16) image = image_data.reshape((msg.height, msg.width)) + elif encoding == "32fc1": + image_data = np.frombuffer(msg.data, np.float32) # Handle 32-bit float + image = image_data.reshape((msg.height, msg.width)) else: raise ValueError(f"Unsupported encoding: {encoding}") diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/__init__.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/__init__.py index fc6b482e4..4091ab0d0 100644 --- a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/__init__.py +++ b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/__init__.py @@ -13,6 +13,11 @@ # limitations under the License. from .gdino_tools import GetDetectionTool, GetDistanceToObjectsTool -from .segmentation_tools import GetSegmentationTool +from .segmentation_tools import GetGrabbingPointTool, GetSegmentationTool -__all__ = ["GetDistanceToObjectsTool", "GetDetectionTool", "GetSegmentationTool"] +__all__ = [ + "GetDistanceToObjectsTool", + "GetDetectionTool", + "GetSegmentationTool", + "GetGrabbingPointTool", +] diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/segmentation_tools.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/segmentation_tools.py index 1a19e83eb..fbfcc9bdc 100644 --- a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/segmentation_tools.py +++ b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/segmentation_tools.py @@ -14,6 +14,9 @@ from typing import Optional, Type +import cv2 +import numpy as np +import open3d as o3d import rclpy import sensor_msgs.msg from pydantic import Field @@ -26,7 +29,7 @@ from rai.node import RaiBaseNode from rai.tools.ros import Ros2BaseInput, Ros2BaseTool -from rai.tools.ros.utils import convert_ros_img_to_base64 +from rai.tools.ros.utils import convert_ros_img_to_base64, convert_ros_img_to_ndarray from rai_interfaces.srv import RAIGroundedSam, RAIGroundingDino # --------------------- Inputs --------------------- @@ -51,6 +54,10 @@ class GetGrabbingPointInput(Ros2BaseInput): ..., description="Ros2 topic for the depth image containing data to run distance calculations on", ) + camera_info_topic: str = Field( + ..., + description="Ros2 topic for the camera info to get the camera intrinsic from", + ) object_name: str = Field( ..., description="Natural language names of the object to grab" ) @@ -166,3 +173,125 @@ def _run( ret.append(convert_ros_img_to_base64(img_msg)) break return "", {"segmentations": ret} + + +class GetGrabbingPointTool(GetSegmentationTool): + + name: str = "" + description: str = "" + + args_schema: Type[GetGrabbingPointInput] = GetGrabbingPointInput + + def _get_camera_info_message(self, topic: str) -> sensor_msgs.msg.CameraInfo: + msg = self.node.get_raw_message_from_topic(topic) + if type(msg) is sensor_msgs.msg.CameraInfo: + return msg + else: + raise Exception("Received wrong message") + + def _get_intrinsic_from_camera_info(self, camera_info: sensor_msgs.msg.CameraInfo): + """Extract camera intrinsic parameters from the CameraInfo message.""" + + width = camera_info.width + height = camera_info.height + fx = camera_info.k[0] # Focal length in x-axis + fy = camera_info.k[4] # Focal length in y-axis + cx = camera_info.k[2] # Principal point x + cy = camera_info.k[5] # Principal point y + + return o3d.camera.PinholeCameraIntrinsic(width, height, fx, fy, cx, cy) + + def _process_mask( + self, + mask_msg: sensor_msgs.msg.Image, + depth_msg: sensor_msgs.msg.Image, + intrinsic: o3d.camera.PinholeCameraIntrinsic, + ): + mask = convert_ros_img_to_ndarray(mask_msg) + binary_mask = np.where(mask == 255, 1, 0) + print(binary_mask.shape) + depth = convert_ros_img_to_ndarray(depth_msg) + masked_depth_image = np.zeros_like(depth, dtype=np.float32) + masked_depth_image[binary_mask] = depth[binary_mask] + + pcd = o3d.geometry.PointCloud.create_from_depth_image( + o3d.geometry.Image(masked_depth_image), intrinsic + ) + + # Remove outliers + _, ind = pcd.remove_statistical_outlier(nb_neighbors=5, std_ratio=2.0) + filtered_pcd = pcd.select_by_index(ind) + + points = np.asarray(filtered_pcd.points) + + grasp_z = points[:, 2].max() + near_grasp_z_points = points[points[:, 2] > grasp_z - 0.008] + xy_points = near_grasp_z_points[:, :2] + xy_points = xy_points.astype(np.float32) + _, dimensions, theta = cv2.minAreaRect(xy_points) + + gripper_rotation = theta + # NOTE - estimated dimentsion from the RGBDCamera5 not very precise, what may cause not desired rotation + if dimensions[0] > dimensions[1]: + gripper_rotation -= 90 + if gripper_rotation < -90: + gripper_rotation += 180 + elif gripper_rotation > 90: + gripper_rotation -= 180 + + # Calculate full 3D centroid for OBJECT + centroid = np.mean(points, axis=0) + # TODO : change offset to be dependant on the height of the object + centroid[2] += 0.1 # Added a small offset to prevent gripper collision + self.node.get_logger().info(f"Calculated 3D centroid for OBJECT: {centroid}") + return centroid, gripper_rotation + + def _run( + self, + camera_topic: str, + depth_topic: str, + camera_info_topic: str, + object_name: str, + ): + camera_img_msg = self._get_image_message(camera_topic) + depth_msg = self._get_image_message(depth_topic) + camera_info = self._get_camera_info_message(camera_info_topic) + + intrinsic = self._get_intrinsic_from_camera_info(camera_info) + + future = self._call_gdino_node(camera_img_msg, object_name) + logger = self.node.get_logger() + try: + conversion_ratio = self.node.get_parameter("conversion_ratio").value + if not isinstance(conversion_ratio, float): + logger.error( + f"Parametr conversion_ratio was set badly: {type(conversion_ratio)}: {conversion_ratio} expected float. Using default value 0.001" + ) + conversion_ratio = 0.001 + except (ParameterUninitializedException, ParameterNotDeclaredException): + logger.warning( + "Parameter conversion_ratio not found in node, using default value: 0.001" + ) + conversion_ratio = 0.001 + resolved = None + while rclpy.ok(): + resolved = self._get_gdino_response(future) + if resolved is not None: + break + + assert resolved is not None + future = self._call_gsam_node(camera_img_msg, resolved) + + ret = [] + while rclpy.ok(): + resolved = self._get_gsam_response(future) + if resolved is not None: + for img_msg in resolved.masks: + ret.append(convert_ros_img_to_base64(img_msg)) + break + assert resolved is not None + rets = [] + for mask_msg in resolved.masks: + rets.append(self._process_mask(mask_msg, depth_msg, intrinsic)) + + return "Grabbing point and rotation:" + ", ".join([str(ret) for ret in rets]) From 6f26693ce22dee92fa93c8f9f6ac1cb497fb7a24 Mon Sep 17 00:00:00 2001 From: rachwalk Date: Fri, 4 Oct 2024 18:44:50 +0200 Subject: [PATCH 42/84] fix: formatting --- .../rai_open_set_vision/services/grounded_sam.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/services/grounded_sam.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/services/grounded_sam.py index 0fbfb563a..f415ed3c8 100644 --- a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/services/grounded_sam.py +++ b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/services/grounded_sam.py @@ -16,7 +16,6 @@ import os import subprocess from pathlib import Path -from typing import List import numpy as np import rclpy @@ -27,7 +26,6 @@ >>>>>>> 1b5c03b (feat: basic implementation stub of grabbing point tool) from rai_open_set_vision.vision_markup.segmenter import GDSegmenter from rclpy.node import Node -from sensor_msgs.msg import Image from rai_interfaces.srv import RAIGroundedSam From 7069560391965c3bea5212d606b097568744e7d3 Mon Sep 17 00:00:00 2001 From: Maciej Majek Date: Mon, 7 Oct 2024 11:23:13 +0200 Subject: [PATCH 43/84] feat: openset launch file --- src/rai_bringup/launch/openset.launch.py | 49 ++++++++++++++++++++++++ 1 file changed, 49 insertions(+) create mode 100644 src/rai_bringup/launch/openset.launch.py diff --git a/src/rai_bringup/launch/openset.launch.py b/src/rai_bringup/launch/openset.launch.py new file mode 100644 index 000000000..b14bb4293 --- /dev/null +++ b/src/rai_bringup/launch/openset.launch.py @@ -0,0 +1,49 @@ +# Copyright (C) 2024 Robotec.AI +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +from launch import LaunchDescription +from launch.actions import IncludeLaunchDescription +from launch.launch_description_sources import AnyLaunchDescriptionSource +from launch.substitutions import PathJoinSubstitution +from launch_ros.substitutions import FindPackageShare + + +def generate_launch_description(): + return LaunchDescription( + [ + IncludeLaunchDescription( + AnyLaunchDescriptionSource( + PathJoinSubstitution( + [ + FindPackageShare("rai_open_set_vision"), + "launch", + "gdino_launch.xml", + ] + ) + ) + ), + IncludeLaunchDescription( + AnyLaunchDescriptionSource( + PathJoinSubstitution( + [ + FindPackageShare("rai_open_set_vision"), + "launch", + "gsam_launch.xml", + ] + ) + ) + ), + ] + ) From bb62bf667af50386ea6cf2099b8ab1937dcdcf71 Mon Sep 17 00:00:00 2001 From: Maciej Majek Date: Mon, 7 Oct 2024 19:02:09 +0200 Subject: [PATCH 44/84] feat: parametrize TF2TransformFetcher --- src/rai/rai/tools/ros/tools.py | 4 ++-- src/rai/rai/tools/utils.py | 14 +++++++++++--- 2 files changed, 13 insertions(+), 5 deletions(-) diff --git a/src/rai/rai/tools/ros/tools.py b/src/rai/rai/tools/ros/tools.py index 2804eaf95..f4632eeb7 100644 --- a/src/rai/rai/tools/ros/tools.py +++ b/src/rai/rai/tools/ros/tools.py @@ -223,7 +223,7 @@ def _postprocess_msg(self, map_msg: OccupancyGrid, transform: TransformStamped): def _run(self, topic_name: str): """Gets the current map from the specified topic.""" map_grabber = SingleMessageGrabber(topic_name, OccupancyGrid, timeout_sec=10) - tf_grabber = TF2TransformFetcher() + tf_grabber = TF2TransformFetcher(target_frame="map", source_frame="base_link") map_msg = map_grabber.get_data() transform = tf_grabber.get_data() @@ -249,7 +249,7 @@ class GetCurrentPositionTool(BaseTool): def _run(self): """Gets the current position from the specified topic.""" - tf_grabber = TF2TransformFetcher() + tf_grabber = TF2TransformFetcher(target_frame="map", source_frame="base_link") transform_stamped = tf_grabber.get_data() position = transform_stamped.transform.translation # type: ignore orientation = transform_stamped.transform.rotation # type: ignore diff --git a/src/rai/rai/tools/utils.py b/src/rai/rai/tools/utils.py index e8797f25f..a9aca8a50 100644 --- a/src/rai/rai/tools/utils.py +++ b/src/rai/rai/tools/utils.py @@ -318,8 +318,10 @@ def get_data(self): class TF2Listener(Node): - def __init__(self): + def __init__(self, target_frame: str, source_frame: str): super().__init__("tf2_listener") + self.target_frame = target_frame + self.source_frame = source_frame # Create a buffer and listener self.tf_buffer = Buffer() @@ -332,14 +334,20 @@ def get_transform(self): try: # Lookup transform between base_link and map now = rclpy.time.Time() - self.transform = self.tf_buffer.lookup_transform("map", "base_link", now) + self.transform = self.tf_buffer.lookup_transform( + self.target_frame, self.source_frame, now + ) except Exception as ex: self.get_logger().debug(f"Could not transform: {ex}") class TF2TransformFetcher: + def __init__(self, target_frame: str, source_frame: str): + self.target_frame = target_frame + self.source_frame = source_frame + def get_data(self): - node = TF2Listener() + node = TF2Listener(self.target_frame, self.source_frame) executor = rclpy.executors.SingleThreadedExecutor() executor.add_node(node) From 812ec602e026988e30f834fa4a446613f09aa1ca Mon Sep 17 00:00:00 2001 From: Maciej Majek Date: Mon, 7 Oct 2024 19:08:13 +0200 Subject: [PATCH 45/84] fix: skip detected unknown objects (gdino) --- .../rai_open_set_vision/vision_markup/boxer.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/vision_markup/boxer.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/vision_markup/boxer.py index d45f85d6e..80267cd11 100644 --- a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/vision_markup/boxer.py +++ b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/vision_markup/boxer.py @@ -104,7 +104,9 @@ def get_boxes( assert confidences is not None for i in range(len(xyxy)): - x1, y1, x2, y2 = xyxy[i] + if class_ids[i] is None: + continue + x1, y1, x2, y2 = map(int, xyxy[i]) phrase = classes[class_ids[i]] confidence = confidences[i] center = ((x1 + x2) / 2, (y1 + y2) / 2) From 585cb542d81d3af7687c982bcff238853681e02b Mon Sep 17 00:00:00 2001 From: Maciej Majek Date: Mon, 7 Oct 2024 19:09:18 +0200 Subject: [PATCH 46/84] refactor: remove open3d code --- .../tools/segmentation_tools.py | 60 ++++++++++++------- 1 file changed, 40 insertions(+), 20 deletions(-) diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/segmentation_tools.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/segmentation_tools.py index fbfcc9bdc..4c64c6cbc 100644 --- a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/segmentation_tools.py +++ b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/segmentation_tools.py @@ -12,11 +12,10 @@ # See the License for the specific language governing permissions and # limitations under the License. -from typing import Optional, Type +from typing import Any, List, Optional, Type import cv2 import numpy as np -import open3d as o3d import rclpy import sensor_msgs.msg from pydantic import Field @@ -116,8 +115,8 @@ def _call_gdino_node( req = RAIGroundingDino.Request() req.source_img = camera_img_message req.classes = object_name - req.box_threshold = 0.4 # TODO make this somehow configurable - req.text_threshold = 0.4 + req.box_threshold = 0.25 # TODO make this somehow configurable + req.text_threshold = 0.25 future = cli.call_async(req) return future @@ -175,10 +174,36 @@ def _run( return "", {"segmentations": ret} +def depth_to_point_cloud(depth_image, fx, fy, cx, cy): + height, width = depth_image.shape + + # Create grid of pixel coordinates + x = np.arange(width) + y = np.arange(height) + x_grid, y_grid = np.meshgrid(x, y) + + # Calculate 3D coordinates + z = depth_image + x = (x_grid - cx) * z / fx + y = (y_grid - cy) * z / fy + + # Stack the coordinates + points = np.stack((x, y, z), axis=-1) + + # Reshape to a list of points + points = points.reshape(-1, 3) + + # Remove points with zero depth + points = points[points[:, 2] > 0] + + return points + + class GetGrabbingPointTool(GetSegmentationTool): - name: str = "" - description: str = "" + name: str = "GetGrabbingPointTool" + description: str = "Get the grabbing point of an object" + pcd: List[Any] = [] args_schema: Type[GetGrabbingPointInput] = GetGrabbingPointInput @@ -192,37 +217,32 @@ def _get_camera_info_message(self, topic: str) -> sensor_msgs.msg.CameraInfo: def _get_intrinsic_from_camera_info(self, camera_info: sensor_msgs.msg.CameraInfo): """Extract camera intrinsic parameters from the CameraInfo message.""" - width = camera_info.width - height = camera_info.height fx = camera_info.k[0] # Focal length in x-axis fy = camera_info.k[4] # Focal length in y-axis cx = camera_info.k[2] # Principal point x cy = camera_info.k[5] # Principal point y - return o3d.camera.PinholeCameraIntrinsic(width, height, fx, fy, cx, cy) + return fx, fy, cx, cy def _process_mask( self, mask_msg: sensor_msgs.msg.Image, depth_msg: sensor_msgs.msg.Image, - intrinsic: o3d.camera.PinholeCameraIntrinsic, + intrinsic, ): mask = convert_ros_img_to_ndarray(mask_msg) binary_mask = np.where(mask == 255, 1, 0) print(binary_mask.shape) depth = convert_ros_img_to_ndarray(depth_msg) masked_depth_image = np.zeros_like(depth, dtype=np.float32) - masked_depth_image[binary_mask] = depth[binary_mask] + masked_depth_image[binary_mask == 1] = depth[binary_mask == 1] - pcd = o3d.geometry.PointCloud.create_from_depth_image( - o3d.geometry.Image(masked_depth_image), intrinsic + pcd = depth_to_point_cloud( + masked_depth_image, intrinsic[0], intrinsic[1], intrinsic[2], intrinsic[3] ) - # Remove outliers - _, ind = pcd.remove_statistical_outlier(nb_neighbors=5, std_ratio=2.0) - filtered_pcd = pcd.select_by_index(ind) - - points = np.asarray(filtered_pcd.points) + # TODO: Filter out outliers + points = pcd grasp_z = points[:, 2].max() near_grasp_z_points = points[points[:, 2] > grasp_z - 0.008] @@ -240,7 +260,7 @@ def _process_mask( gripper_rotation -= 180 # Calculate full 3D centroid for OBJECT - centroid = np.mean(points, axis=0) + centroid = np.mean(near_grasp_z_points, axis=0) # TODO : change offset to be dependant on the height of the object centroid[2] += 0.1 # Added a small offset to prevent gripper collision self.node.get_logger().info(f"Calculated 3D centroid for OBJECT: {centroid}") @@ -294,4 +314,4 @@ def _run( for mask_msg in resolved.masks: rets.append(self._process_mask(mask_msg, depth_msg, intrinsic)) - return "Grabbing point and rotation:" + ", ".join([str(ret) for ret in rets]) + return rets From 363da0fca57ef75d06e925c07bb761787a0a68dc Mon Sep 17 00:00:00 2001 From: Maciej Majek Date: Mon, 7 Oct 2024 19:12:04 +0200 Subject: [PATCH 47/84] chore: remove open3d from pyproject.toml --- poetry.lock | 216 +------------------------------------------------ pyproject.toml | 1 - 2 files changed, 1 insertion(+), 216 deletions(-) diff --git a/poetry.lock b/poetry.lock index cbbf17a11..f0c3470d2 100644 --- a/poetry.lock +++ b/poetry.lock @@ -832,21 +832,6 @@ traitlets = ">=4" [package.extras] test = ["pytest"] -[[package]] -name = "configargparse" -version = "1.7" -description = "A drop-in replacement for argparse that allows options to also be set via config files and/or environment variables." -optional = false -python-versions = ">=3.5" -files = [ - {file = "ConfigArgParse-1.7-py3-none-any.whl", hash = "sha256:d249da6591465c6c26df64a9f73d2536e743be2f244eb3ebe61114af2f94f86b"}, - {file = "ConfigArgParse-1.7.tar.gz", hash = "sha256:e7067471884de5478c58a511e529f0f9bd1c66bfef1dea90935438d6c23306d1"}, -] - -[package.extras] -test = ["PyYAML", "mock", "pytest"] -yaml = ["PyYAML"] - [[package]] name = "contourpy" version = "1.3.0" @@ -1021,72 +1006,6 @@ files = [ {file = "cython-3.0.11.tar.gz", hash = "sha256:7146dd2af8682b4ca61331851e6aebce9fe5158e75300343f80c07ca80b1faff"}, ] -[[package]] -name = "dash" -version = "2.18.1" -description = "A Python framework for building reactive web-apps. 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2ae02db41031d2265b40b7312da447e56bdbe1c1 Mon Sep 17 00:00:00 2001 From: Maciej Majek Date: Mon, 7 Oct 2024 20:31:15 +0200 Subject: [PATCH 48/84] feat: add ManipulatorMoveTo service definition --- src/rai_interfaces/CMakeLists.txt | 1 + src/rai_interfaces/srv/ManipulatorMoveTo.srv | 19 +++++++++++++++++++ 2 files changed, 20 insertions(+) create mode 100644 src/rai_interfaces/srv/ManipulatorMoveTo.srv diff --git a/src/rai_interfaces/CMakeLists.txt b/src/rai_interfaces/CMakeLists.txt index 2d590c3bd..a187de78b 100644 --- a/src/rai_interfaces/CMakeLists.txt +++ b/src/rai_interfaces/CMakeLists.txt @@ -17,6 +17,7 @@ find_package(sensor_msgs REQUIRED) find_package(rosidl_default_generators REQUIRED) rosidl_generate_interfaces(${PROJECT_NAME} + "srv/ManipulatorMoveTo.srv" "srv/VectorStoreRetrieval.srv" "srv/StringList.srv" "msg/RAIDetectionArray.msg" diff --git a/src/rai_interfaces/srv/ManipulatorMoveTo.srv b/src/rai_interfaces/srv/ManipulatorMoveTo.srv new file mode 100644 index 000000000..391b52234 --- /dev/null +++ b/src/rai_interfaces/srv/ManipulatorMoveTo.srv @@ -0,0 +1,19 @@ +# +# Copyright (C) 2024 Robotec.AI +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +bool gripper_state +geometry_msgs/PoseStamped target_pose +--- +bool success From ce2d8742d69d83b64d052d975e20fb28394edfc9 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Kacper=20D=C4=85browski?= Date: Tue, 8 Oct 2024 17:17:02 +0200 Subject: [PATCH 49/84] Enhance ManipulatorMoveTo service definition MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Signed-off-by: Kacper Dฤ…browski --- src/rai_interfaces/srv/ManipulatorMoveTo.srv | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/src/rai_interfaces/srv/ManipulatorMoveTo.srv b/src/rai_interfaces/srv/ManipulatorMoveTo.srv index 391b52234..469dda70e 100644 --- a/src/rai_interfaces/srv/ManipulatorMoveTo.srv +++ b/src/rai_interfaces/srv/ManipulatorMoveTo.srv @@ -13,7 +13,8 @@ # See the License for the specific language governing permissions and # limitations under the License. -bool gripper_state +bool initial_gripper_state +bool final_gripper_state geometry_msgs/PoseStamped target_pose --- bool success From 3a424c44405c036f59874fb9c61d38f6918a195c Mon Sep 17 00:00:00 2001 From: Maciej Majek Date: Fri, 11 Oct 2024 12:15:31 +0200 Subject: [PATCH 50/84] feat: manipulation-demo wip --- examples/manipulation-demo.py | 369 ++++++++++++++++++ .../tools/segmentation_tools.py | 19 +- 2 files changed, 379 insertions(+), 9 deletions(-) create mode 100644 examples/manipulation-demo.py diff --git a/examples/manipulation-demo.py b/examples/manipulation-demo.py new file mode 100644 index 000000000..84316567e --- /dev/null +++ b/examples/manipulation-demo.py @@ -0,0 +1,369 @@ +# Copyright (C) 2024 Robotec.AI +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + + +from typing import Literal, Type + +import numpy as np +import rclpy +import rclpy.callback_groups +import rclpy.executors +import rclpy.qos +import rclpy.subscription +import rclpy.task +from geometry_msgs.msg import Point, Pose, PoseStamped, Quaternion +from langchain.tools.render import render_text_description_and_args +from langchain_core.tools import BaseTool +from pydantic import BaseModel, Field +from rai_open_set_vision.tools import GetGrabbingPointTool +from rclpy.client import Client +from rclpy.node import Node +from tf2_geometry_msgs import do_transform_pose + +from rai.agents.conversational_agent import create_conversational_agent +from rai.node import RaiNode +from rai.tools.ros.native import GetCameraImage +from rai.tools.utils import TF2TransformFetcher +from rai.utils.model_initialization import get_llm_model, get_tracing_callbacks +from rai_interfaces.srv import ManipulatorMoveTo + + +class MoveToPointToolInput(BaseModel): + x: float = Field(description="The x coordinate of the point to move to") + y: float = Field(description="The y coordinate of the point to move to") + z: float = Field(description="The z coordinate of the point to move to") + # yaw: float = Field(description="The yaw of the robot's end effector") + task: Literal["grab", "place"] = Field( + description="The task to be performed. If you want to pick up an object, use grab, if you want to place it, use place." + ) + + +class MoveToPointTool(BaseTool): + name: str = "move_to_point" + description: str = "Move the robot's end effector to a point in the world." + + node: Node + client: Client + args_schema: Type[MoveToPointToolInput] = MoveToPointToolInput + + def __init__(self, node: Node): + super().__init__( + node=node, + client=node.create_client( + ManipulatorMoveTo, + "/manipulator_move_to", + ), + ) + + def _run( + self, + x: float, + y: float, + z: float, + # yaw: float, + task: Literal["grab", "place"], + ) -> str: + pose_stamped = PoseStamped() + pose_stamped.header.frame_id = "panda_link0" + pose_stamped.pose = Pose( + position=Point(x=x, y=y, z=z), + orientation=Quaternion( + x=0.9238795325112867, y=-0.3826834323650898, z=0.0, w=0.0 + ), + ) + + # calibration values for the manipulator + calibration_x = 0.0285 # do not touch this value + calibration_y = 0.0 # do not touch this value + calibration_z = 0.138 # do not touch this value + + # additional fine-tuning calibration values for the manipulator + additional_calibration_x = 0.0425 + additional_calibration_y = -0.025 + additional_calibration_z = 0.01 + + # Apply calibration values + + if task == "place": + pose_stamped.pose.position.z += 0.05 + + pose_stamped.pose.position.x += calibration_x + additional_calibration_x + pose_stamped.pose.position.y += calibration_y + additional_calibration_y + pose_stamped.pose.position.z += calibration_z + additional_calibration_z + + pose_stamped.pose.position.z = np.max( + [pose_stamped.pose.position.z, 0.135] + ) # avoid hitting the table + + request = ManipulatorMoveTo.Request() + request.target_pose = pose_stamped + + if task == "grab": + request.initial_gripper_state = True # open + request.final_gripper_state = False # closed + else: + request.initial_gripper_state = False # closed + request.final_gripper_state = True # open + + future = self.client.call_async(request) + self.node.get_logger().info( + f"Calling ManipulatorMoveTo service with request: x={request.target_pose.pose.position.x:.2f}, y={request.target_pose.pose.position.y:.2f}, z={request.target_pose.pose.position.z:.2f}" + ) + + rclpy.spin_until_future_complete(self.node, future) + + if future.result() is not None: + response = future.result() + if response.success: + return f"Successfully moved to point ({x}, {y}, {z})" + else: + return f"Failed to move to point ({x}, {y}, {z})" + else: + return f"Service call failed for point ({x}, {y}, {z})" + + +class GetObjectPositionsToolInput(BaseModel): + object_name: str = Field( + ..., description="The name of the object to get the positions of" + ) + + +class GetObjectPositionsTool(BaseTool): + name: str = "get_object_positions" + description: str = ( + "Get the positions of all objects of a given type in manipulator frame" + ) + + target_frame: str # frame of the manipulator + source_frame: str # frame of the camera + camera_topic: str # rgb camera topic + depth_topic: str + camera_info_topic: str # rgb camera info topic + node: Node + get_grabbing_point_tool: GetGrabbingPointTool + + def __init__(self, node: Node, **kwargs): + super(GetObjectPositionsTool, self).__init__( + node=node, get_grabbing_point_tool=GetGrabbingPointTool(node=node), **kwargs + ) + + args_schema: Type[GetObjectPositionsToolInput] = GetObjectPositionsToolInput + + def _run(self, object_name: str): + transform = TF2TransformFetcher( + target_frame=self.target_frame, source_frame=self.source_frame + ).get_data() + + results = self.get_grabbing_point_tool._run( + camera_topic=self.camera_topic, + depth_topic=self.depth_topic, + camera_info_topic=self.camera_info_topic, + object_name=object_name, + ) + + poses = [] + for result in results: + cam_pose = result[0] + poses.append( + Pose(position=Point(x=cam_pose[0], y=cam_pose[1], z=cam_pose[2])) + ) + + world_poses = [] + for pose in poses: + world_pose = do_transform_pose(pose, transform) + world_poses.append(world_pose) + + return world_poses + + +def main(): + rclpy.init() + node = RaiNode( + llm=get_llm_model( + model_type="simple_model" + ), # smaller model used to describe the environment + system_prompt="", + ) + tools = [ + MoveToPointTool(node=node), + GetObjectPositionsTool( + node=node, + source_frame="RGBDCamera5", + target_frame="world", + camera_topic="/color_image5", + depth_topic="/depth_image5", + camera_info_topic="/color_camera_info5", + ), + GetCameraImage(node=node), + ] + SYSTEM_PROMPT = f"""You are an autonomous robotic arm connected to ros2 environment. Your main goal is to fulfill the user's requests. + Do not make assumptions about the environment you are currently in. You may be asked to move objects around. + + Coordinates are in meters. System is as follows: + x - forward + y - right + z - up + + Arm can move in the following ranges: + x - [0.2, 0.5] + y - [-0.6, 0.65] + z - [0.0, 1.0] + + User specified positions such as next, on top, etc. Make sure to follow them. The positions gathered from get_objects_positions tool are the centroids of the objects. Sometimes you may have to do some calculations to properly place the objects. + When you drop the object, and you want to pick it up again, you must first get the positions of the objects again. + The gripper can hold one object at a time. (if you pick up an object, you must always place it before picking up another one) + + After finishing the task/subtask, use camera to confirm the result. If you've failed, repeat the task. Make sure to always grab the latest position of the objects. + + Make sure to properly define class which get_objects_positions tool shoud look for. For example, do not query item, query box/cube/apple/cup etc. Do not use vague names, but specific ones (make sure to specify color). + Make sure to always grab the item, do not grab the air. + Mind the space limitations (eg limits or existing objects). + Do not place objects on the position of other object unless user explicitly tells you to do so- this is very important. You must always adhere to this rule. + Remember where you have already placed the objects. + Do not move things unless it is necessary for the task. + + Do not run the tools at once, but execute them one by one- this is very important and you should always adhere to this rule. + Run only one tool per turn. You will be givent another turn every time you use the tool. + Do not make out coordinates of the objects by yourself. + Use the tooling provided to gather information about the positions of the objects. + Do not modify the coordinates (especially z axis, if you change it you wont grab the object). The move_to_point_tool has necessary calibration values. + + Use the tooling provided to gather information about the environment: + + {render_text_description_and_args(tools)} + + You can use ros2 topics, services and actions to operate. + You can use /color_image5 to see the environment. + When you get the task, make sure to plan first. Do planning every step of the way. + After finishing the task, use camera to confirm the result. If you've failed, repeat the missing steps.-this is very important. + Be observant and careful. Make sure the task has been finished properly.- this is very important. + + Examples: + User: "Pick up the carrot" + - Use get_objects_positions tool with argument "carrot" to get the position of the carrot. + - Use move_to_point tool with the returned position and argument "grab" to pick up the carrot. + + User: "Swap the position of the cube at the left bottom and the carrot" + - Use get_objects_positions to find the cube, reason which one is the proper cube. + - Use get_objects_positions to find the carrot. + - move the cube to the temporary, empty location, at least 0.05m away from other objects. + - move the carrot to the previous position of the cube. + - move the cube to the previous position of the carrot. + + This are some of the examples of the tasks you can perform. When asked for harder task, make sure to plan the task properly and if applicable use the examples as a guide. + """ + + SYSTEM_PROMPTS = """ + You are an autonomous robotic arm operating within a ROS2 environment. Your primary goal is to fulfill user requests, particularly in tasks involving object manipulation. + + Key Operational Guidelines: + Environment Setup: + You do not have prior knowledge of the environment, so do not make assumptions about the layout or object positions. Always gather up-to-date information using the tools and sensors provided. + + Coordinate System (in meters): + + x: Forward + y: Right + z: Up + Arm movement ranges: + + x: [0.2, 0.5] # limited by the size of the table + y: [-0.6, 0.7] # limited by the size of the table + z: [0.0, 1.0] + + Point 0.3, 0.0, 0.0 is the center point of the table. + + The gripper can hold only one object at a time. Before picking up another object, you must always place the current object in a valid location. + + Gripper and Object Interaction: + The gripper can hold only one object at a time. Before picking up another object, you must always place the current object in a valid location. + Always ensure proper grabbing and placing of objects. + Task Execution: + Gather Information: + Always gather the latest position and status of objects using the provided tools. Never assume positions or modify object coordinates on your own. Particularly, do not adjust the z-axis as the armโ€™s movement is calibrated for accurate gripping and placing. + + Object Identification: + Use specific and clear names when querying objects (e.g., box, apple, cup). Always include distinguishing features like color to avoid confusion. Avoid vague terms like โ€œitem.โ€ + + Placement Rules: + + Avoid placing objects on top of each other unless explicitly instructed by the user. + If space is limited, the arm should intelligently adjust placement height or position to ensure objects are placed safely and do not interfere with existing ones. + If a task involves stacking objects, ensure that the placement takes into account the total height, and do not attempt to place an object lower than a previous one in the stack. + Task Validation: + After completing a task or subtask: + + Use the camera (/color_image5) to visually confirm the result. + If the result is unsatisfactory (e.g., wrong position, object not grabbed or placed correctly), repeat the task until it is successful. + Task Planning: + Before executing a task, always create a plan for every step. This includes: + + Identifying the correct object and its position. + Determining a valid destination for placement, considering space limitations. + Ensuring the task can be completed without interference from other objects or the environment. + Planning should be revisited after each step to ensure ongoing accuracy and success. + + Operational Limits: + + Do not move objects unless necessary for completing the task. + Mind the environment's limitations, including existing objects and movement constraints. + Always remember where you have already placed objects to avoid collisions or misplacements. + Tooling and Sensors: + You can access the following to gather environment data: + ROS2 topics, services, and actions. + Use /color_image5 to view the environment and confirm placements, especially when you think you have finished the task. + Do not execute multiple tools at once. Use tools sequentially, ensuring each action provides useful information before moving forward. + Autonomous Operation: + Act independently. Ask for user input only when absolutely necessary (e.g., when critical information is missing or ambiguous). + Repeated failures should lead to re-evaluation of the plan, ensuring success after each iteration. + """ + + llm = get_llm_model("complex_model") + + agent = create_conversational_agent( + llm=llm, + tools=tools, + system_prompt=SYSTEM_PROMPT, + logger=node.get_logger(), + ) + output = agent.invoke( + { + "messages": [ + # "Build a tower with all of the cubes." + # "Form a circle with all of the cubes around the corn. Move all other vegetables to the left side of the table first." + # "Move all the vegetables alongside left edge of the table, then move all the cubes alongside the right edge of the table." + # "Move the cubes to the left side of the table, then move the vegetables to the right side of the table." + # "Pick up the carrot" + # "Pick up the carrot and place it next to the cube one the right side of the table." + # "Swap the position of the cube at the left bottom and the carrot." + # "Swap positions of the cubes with the vegetables." + # "Deconstruct the tower of cubes and place them on the left side of the table. Make sure to start with the highest cube and end with the lowest one." + # "Put one vegetable on top of every cube." + # "Do something creative with the present objects." + # "Deconstruct the tower of objects. Mind the hight of the tower. Make sure to start with the highest object- this is very very important. Do additional calculations and reasoning in order to complete this task properly." + # "Place all the cubes and vegetables in a circle of radius 0.15m around position (0.35, 0.0, 0.0)." # doesnt work + # "Arrange the vegetables alternately with the cubes in a line along the the y axis. During previous runs, you failed to grab the cubes and vegetables. You've grabbed the air and placed it somewhere. Make sure to avoid this mistake." + # "Pick up autonomous vehicle platform (black and white robot placed on the table)." + # "Place the cubes in the top left part of the table." # top of the black and white toy vehicle." + "Pick up the object closest to the center of the table and throw it away." + ] + }, + config={"recursion_limit": 100, "callbacks": get_tracing_callbacks()}, + ) + output["messages"][-1].pretty_print() + + +if __name__ == "__main__": + main() diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/segmentation_tools.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/segmentation_tools.py index 4c64c6cbc..b12f85003 100644 --- a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/segmentation_tools.py +++ b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/segmentation_tools.py @@ -115,8 +115,8 @@ def _call_gdino_node( req = RAIGroundingDino.Request() req.source_img = camera_img_message req.classes = object_name - req.box_threshold = 0.25 # TODO make this somehow configurable - req.text_threshold = 0.25 + req.box_threshold = 0.35 # TODO make this somehow configurable + req.text_threshold = 0.45 future = cli.call_async(req) return future @@ -208,11 +208,13 @@ class GetGrabbingPointTool(GetSegmentationTool): args_schema: Type[GetGrabbingPointInput] = GetGrabbingPointInput def _get_camera_info_message(self, topic: str) -> sensor_msgs.msg.CameraInfo: - msg = self.node.get_raw_message_from_topic(topic) - if type(msg) is sensor_msgs.msg.CameraInfo: - return msg - else: - raise Exception("Received wrong message") + for _ in range(3): + msg = self.node.get_raw_message_from_topic(topic, timeout_sec=3.0) + if isinstance(msg, sensor_msgs.msg.CameraInfo): + return msg + self.node.get_logger().warn("Received wrong message type. Retrying...") + + raise Exception("Failed to receive correct CameraInfo message after 3 attempts") def _get_intrinsic_from_camera_info(self, camera_info: sensor_msgs.msg.CameraInfo): """Extract camera intrinsic parameters from the CameraInfo message.""" @@ -260,10 +262,9 @@ def _process_mask( gripper_rotation -= 180 # Calculate full 3D centroid for OBJECT - centroid = np.mean(near_grasp_z_points, axis=0) + centroid = np.mean(points, axis=0) # TODO : change offset to be dependant on the height of the object centroid[2] += 0.1 # Added a small offset to prevent gripper collision - self.node.get_logger().info(f"Calculated 3D centroid for OBJECT: {centroid}") return centroid, gripper_rotation def _run( From e9ccfcc08ef0ea6229d96e0abb15947f601c23e9 Mon Sep 17 00:00:00 2001 From: Maciej Majek Date: Fri, 11 Oct 2024 15:05:00 +0200 Subject: [PATCH 51/84] feat: add panda_whoami --- src/examples/panda_whoami/LICENSE | 202 ++++++++++++++++++ .../Franka.Emika.Panda.robot.-.RoboDK (1).pdf | Bin 0 -> 183313 bytes .../images/Franka-Emika-Panda-robot.png | Bin 0 -> 56846 bytes .../panda_whoami/description/index.faiss | Bin 0 -> 24621 bytes .../panda_whoami/description/index.pkl | Bin 0 -> 3087 bytes .../description/robot_constitution.txt | 11 + .../description/robot_description.urdf.txt | 16 ++ .../description/robot_identity.txt | 28 +++ .../description/urdf/panda.urdf.xacro | 36 ++++ src/examples/panda_whoami/package.xml | 18 ++ .../panda_whoami/panda_whoami/__init__.py | 0 .../panda_whoami/resource/panda_whoami | 0 src/examples/panda_whoami/setup.cfg | 4 + src/examples/panda_whoami/setup.py | 31 +++ .../panda_whoami/test/test_copyright.py | 27 +++ src/examples/panda_whoami/test/test_flake8.py | 25 +++ src/examples/panda_whoami/test/test_pep257.py | 23 ++ 17 files changed, 421 insertions(+) create mode 100644 src/examples/panda_whoami/LICENSE create mode 100644 src/examples/panda_whoami/description/documentation/Franka.Emika.Panda.robot.-.RoboDK (1).pdf create mode 100644 src/examples/panda_whoami/description/images/Franka-Emika-Panda-robot.png create mode 100644 src/examples/panda_whoami/description/index.faiss create mode 100644 src/examples/panda_whoami/description/index.pkl create mode 100644 src/examples/panda_whoami/description/robot_constitution.txt create mode 100644 src/examples/panda_whoami/description/robot_description.urdf.txt create mode 100644 src/examples/panda_whoami/description/robot_identity.txt create mode 100644 src/examples/panda_whoami/description/urdf/panda.urdf.xacro create mode 100644 src/examples/panda_whoami/package.xml create mode 100644 src/examples/panda_whoami/panda_whoami/__init__.py create mode 100644 src/examples/panda_whoami/resource/panda_whoami create mode 100644 src/examples/panda_whoami/setup.cfg create mode 100644 src/examples/panda_whoami/setup.py create mode 100644 src/examples/panda_whoami/test/test_copyright.py create mode 100644 src/examples/panda_whoami/test/test_flake8.py create mode 100644 src/examples/panda_whoami/test/test_pep257.py diff --git a/src/examples/panda_whoami/LICENSE b/src/examples/panda_whoami/LICENSE new file mode 100644 index 000000000..d64569567 --- /dev/null +++ b/src/examples/panda_whoami/LICENSE @@ -0,0 +1,202 @@ + + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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With each action," +"I will make sure to check and refuse to do anything that is not compliant with my ethics." +"In case my ethical code is conflicted on the issue, I will prioritize rules that are " +"earlier on the list. My rules are the following:" +"1. I will in no circumstances hurt a human in any manner. " +"2. I will not hurt any animals. " +"3. I will avoid damaging or destroying myself in any way. " +"4. I will not damage or destroy any other robots. " +"5. I will not damage or destroy any other property of value. " +"6. I will carry on my missions faithfully and always strive to fulfill them. " +"7. I will be nice and friendly to everyone." diff --git a/src/examples/panda_whoami/description/robot_description.urdf.txt b/src/examples/panda_whoami/description/robot_description.urdf.txt new file mode 100644 index 000000000..f04a6bf6e --- /dev/null +++ b/src/examples/panda_whoami/description/robot_description.urdf.txt @@ -0,0 +1,16 @@ +The provided URDF file describes a robot named "panda," which is based on the Franka Emika Panda robot. This robot configuration is defined using XACRO, a macro language for generating XML files. + +### Links +1. **Base Link**: The robot's base link serves as the foundational structure, providing stability and support for the entire arm. +2. **Arm Links**: The Panda robot consists of several links that represent the segments of the robotic arm. Each link connects to the next through joints, allowing for a wide range of motion. +3. **End Effector Link**: If the `hand` argument is set to true, an end effector link (the gripper) can be included. This link is positioned at the end of the robotic arm, facilitating interactions with objects. + +### Joints +1. **Revolute Joints**: The arm includes multiple revolute joints that enable rotational motion. Each joint connects two adjacent links, allowing for the articulation necessary for complex tasks. +2. **Joint Limits**: The robot's joints have defined limits for movement, specified in a separate YAML file. These limits ensure the joints operate within safe and functional ranges, preventing mechanical failure. +3. **TCP Configuration**: If a gripper is attached, the TCP (Tool Center Point) can be offset in position and orientation relative to the hand, defined by the `tcp_xyz` and `tcp_rpy` arguments. + +### Simulation Parameters +- The robot can be configured for simulation in Gazebo, where it can be parented to a world frame. The position and orientation offsets for this setup are specified by the `xyz` and `rpy` arguments. + +This URDF file provides a comprehensive configuration for the Panda robot, allowing for flexibility in defining its physical structure and operational parameters. diff --git a/src/examples/panda_whoami/description/robot_identity.txt b/src/examples/panda_whoami/description/robot_identity.txt new file mode 100644 index 000000000..51ffdc6bc --- /dev/null +++ b/src/examples/panda_whoami/description/robot_identity.txt @@ -0,0 +1,28 @@ +I am a Franka Emika Panda, a 7-axis robot arm designed for versatile and precise tasks in various industrial applications. Here are my key specifications and capabilities: + +### Specifications: +- **Brand:** Franka +- **Model:** Emika Panda +- **Type:** Robot Arm +- **Axes:** 7 +- **Payload Capacity:** 3.0 kg +- **Reach:** 850 mm +- **Repeatability:** 0.1 mm +- **Weight:** 18 kg + +### Capabilities: +- **Precision:** With a repeatability of 0.1 mm, I can perform tasks that require high accuracy. +- **Payload Handling:** I can handle payloads of up to 3 kg, making me suitable for a variety of applications. +- **Reach:** My 850 mm reach enables me to work in relatively large areas without the need for repositioning. + +### Applications: +I am commonly used in: +- **Dispensing:** For tasks requiring the application of adhesives or other materials. +- **Remote Tool Center Point (TCP):** To manipulate tools with high precision. +- **Welding:** For delicate and precise welding tasks in manufacturing. + +### Limitations: +- **Payload Capacity:** While I can handle up to 3 kg, I may not be suitable for heavier tasks that require more robust equipment. +- **Weight:** My total weight is 18 kg, which may limit my mobility in certain applications without proper mounting. + +Overall, the Franka Emika Panda is designed for tasks requiring precision and flexibility, making it a valuable asset in industrial environments. diff --git a/src/examples/panda_whoami/description/urdf/panda.urdf.xacro b/src/examples/panda_whoami/description/urdf/panda.urdf.xacro new file mode 100644 index 000000000..04939171c --- /dev/null +++ b/src/examples/panda_whoami/description/urdf/panda.urdf.xacro @@ -0,0 +1,36 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/src/examples/panda_whoami/package.xml b/src/examples/panda_whoami/package.xml new file mode 100644 index 000000000..a94eebe4f --- /dev/null +++ b/src/examples/panda_whoami/package.xml @@ -0,0 +1,18 @@ + + + + panda_whoami + 0.0.0 + TODO: Package description + mmajek + Apache-2.0 + + ament_copyright + ament_flake8 + ament_pep257 + python3-pytest + + + ament_python + + diff --git a/src/examples/panda_whoami/panda_whoami/__init__.py b/src/examples/panda_whoami/panda_whoami/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/src/examples/panda_whoami/resource/panda_whoami b/src/examples/panda_whoami/resource/panda_whoami new file mode 100644 index 000000000..e69de29bb diff --git a/src/examples/panda_whoami/setup.cfg b/src/examples/panda_whoami/setup.cfg new file mode 100644 index 000000000..2cc1bb1c7 --- /dev/null +++ b/src/examples/panda_whoami/setup.cfg @@ -0,0 +1,4 @@ +[develop] +script_dir=$base/lib/panda_whoami +[install] +install_scripts=$base/lib/panda_whoami diff --git a/src/examples/panda_whoami/setup.py b/src/examples/panda_whoami/setup.py new file mode 100644 index 000000000..b713d1564 --- /dev/null +++ b/src/examples/panda_whoami/setup.py @@ -0,0 +1,31 @@ +import glob +import os + +from setuptools import find_packages, setup + +package_name = "panda_whoami" + +setup( + name=package_name, + version="0.0.0", + packages=find_packages(exclude=["test"]), + data_files=[ + (os.path.join("share", package_name, os.path.dirname(p)), [p]) + for p in glob.glob("description/**/*", recursive=True) + if os.path.isfile(p) + ] + + [ + ("share/ament_index/resource_index/packages", ["resource/" + package_name]), + ("share/" + package_name, ["package.xml"]), + ], + install_requires=["setuptools"], + zip_safe=True, + maintainer="mmajek", + maintainer_email="maciej.majek@robotec.ai", + description="TODO: Package description", + license="Apache-2.0", + tests_require=["pytest"], + entry_points={ + "console_scripts": [], + }, +) diff --git a/src/examples/panda_whoami/test/test_copyright.py b/src/examples/panda_whoami/test/test_copyright.py new file mode 100644 index 000000000..8f18fa4be --- /dev/null +++ b/src/examples/panda_whoami/test/test_copyright.py @@ -0,0 +1,27 @@ +# Copyright 2015 Open Source Robotics Foundation, Inc. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import pytest +from ament_copyright.main import main + + +# Remove the `skip` decorator once the source file(s) have a copyright header +@pytest.mark.skip( + reason="No copyright header has been placed in the generated source file." +) +@pytest.mark.copyright +@pytest.mark.linter +def test_copyright(): + rc = main(argv=[".", "test"]) + assert rc == 0, "Found errors" diff --git a/src/examples/panda_whoami/test/test_flake8.py b/src/examples/panda_whoami/test/test_flake8.py new file mode 100644 index 000000000..f494570f7 --- /dev/null +++ b/src/examples/panda_whoami/test/test_flake8.py @@ -0,0 +1,25 @@ +# Copyright 2017 Open Source Robotics Foundation, Inc. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import pytest +from ament_flake8.main import main_with_errors + + +@pytest.mark.flake8 +@pytest.mark.linter +def test_flake8(): + rc, errors = main_with_errors(argv=[]) + assert rc == 0, "Found %d code style errors / warnings:\n" % len( + errors + ) + "\n".join(errors) diff --git a/src/examples/panda_whoami/test/test_pep257.py b/src/examples/panda_whoami/test/test_pep257.py new file mode 100644 index 000000000..4eddb46ed --- /dev/null +++ b/src/examples/panda_whoami/test/test_pep257.py @@ -0,0 +1,23 @@ +# Copyright 2015 Open Source Robotics Foundation, Inc. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import pytest +from ament_pep257.main import main + + +@pytest.mark.linter +@pytest.mark.pep257 +def test_pep257(): + rc = main(argv=[".", "test"]) + assert rc == 0, "Found code style errors / warnings" From 53713bbc14b00404c66500fc0141587076592dc3 Mon Sep 17 00:00:00 2001 From: Maciej Majek Date: Fri, 11 Oct 2024 15:18:14 +0200 Subject: [PATCH 52/84] feat(): parametrize box and text thresholds --- .../rai_open_set_vision/tools/gdino_tools.py | 7 +++++-- .../rai_open_set_vision/tools/segmentation_tools.py | 8 +++++--- 2 files changed, 10 insertions(+), 5 deletions(-) diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/gdino_tools.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/gdino_tools.py index ad6dea1b6..dc7959a05 100644 --- a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/gdino_tools.py +++ b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/gdino_tools.py @@ -81,6 +81,9 @@ class DistanceMeasurement(NamedTuple): class GroundingDinoBaseTool(Ros2BaseTool): node: RaiBaseNode = Field(..., exclude=True, required=True) + box_threshold: float = Field(default=0.35, description="Box threshold for GDINO") + text_threshold: float = Field(default=0.35, description="Text threshold for GDINO") + def _spin(self, future: Future) -> Optional[RAIGroundingDino.Response]: rclpy.spin_once(self.node) if future.done(): @@ -104,8 +107,8 @@ def _call_gdino_node( req = RAIGroundingDino.Request() req.source_img = camera_img_message req.classes = " , ".join(object_names) - req.box_threshold = 0.4 # TODO make this somehow configurable - req.text_threshold = 0.4 + req.box_threshold = self.box_threshold + req.text_threshold = self.text_threshold future = cli.call_async(req) return future diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/segmentation_tools.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/segmentation_tools.py index b12f85003..3a266ffc4 100644 --- a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/segmentation_tools.py +++ b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/segmentation_tools.py @@ -69,6 +69,9 @@ class GetSegmentationTool(Ros2BaseTool): name: str = "" description: str = "" + box_threshold: float = Field(default=0.35, description="Box threshold for GDINO") + text_threshold: float = Field(default=0.35, description="Text threshold for GDINO") + args_schema: Type[GetSegmentationInput] = GetSegmentationInput def _get_gdino_response( @@ -115,8 +118,8 @@ def _call_gdino_node( req = RAIGroundingDino.Request() req.source_img = camera_img_message req.classes = object_name - req.box_threshold = 0.35 # TODO make this somehow configurable - req.text_threshold = 0.45 + req.box_threshold = self.box_threshold + req.text_threshold = self.text_threshold future = cli.call_async(req) return future @@ -234,7 +237,6 @@ def _process_mask( ): mask = convert_ros_img_to_ndarray(mask_msg) binary_mask = np.where(mask == 255, 1, 0) - print(binary_mask.shape) depth = convert_ros_img_to_ndarray(depth_msg) masked_depth_image = np.zeros_like(depth, dtype=np.float32) masked_depth_image[binary_mask == 1] = depth[binary_mask == 1] From 309fbc295f8bf7856983a216fc6a0dee5be4827b Mon Sep 17 00:00:00 2001 From: Maciej Majek Date: Fri, 11 Oct 2024 16:16:10 +0200 Subject: [PATCH 53/84] feat: implement manipulation tools --- src/rai/rai/tools/ros/manipulation.py | 185 ++++++++++++++++++++++++++ 1 file changed, 185 insertions(+) create mode 100644 src/rai/rai/tools/ros/manipulation.py diff --git a/src/rai/rai/tools/ros/manipulation.py b/src/rai/rai/tools/ros/manipulation.py new file mode 100644 index 000000000..a35580ed1 --- /dev/null +++ b/src/rai/rai/tools/ros/manipulation.py @@ -0,0 +1,185 @@ +# Copyright (C) 2024 Robotec.AI +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from typing import Literal, Type + +import numpy as np +import rclpy +import rclpy.callback_groups +import rclpy.executors +import rclpy.qos +import rclpy.subscription +import rclpy.task +from geometry_msgs.msg import Point, Pose, PoseStamped, Quaternion +from langchain_core.tools import BaseTool +from pydantic import BaseModel, Field +from rai_open_set_vision.tools import GetGrabbingPointTool +from rclpy.client import Client +from rclpy.node import Node +from tf2_geometry_msgs import do_transform_pose + +from rai.tools.utils import TF2TransformFetcher +from rai_interfaces.srv import ManipulatorMoveTo + + +class MoveToPointToolInput(BaseModel): + x: float = Field(description="The x coordinate of the point to move to") + y: float = Field(description="The y coordinate of the point to move to") + z: float = Field(description="The z coordinate of the point to move to") + task: Literal["grab", "place"] = Field( + description="The task to be performed. If you want to pick up an object, use grab, if you want to place it, use place." + ) + + +class MoveToPointTool(BaseTool): + name: str = "move_to_point" + description: str = ( + "Move the robot's end effector to a point in the manipulator frame." + ) + + node: Node + client: Client + + manipulator_frame: str = Field( + default="panda_link0", description="Manipulator frame" + ) + min_z: float = Field(default=0.135, description="Minimum z coordinate [m]") + calibration_x: float = Field(default=0.071, description="Calibration x [m]") + calibration_y: float = Field(default=-0.025, description="Calibration y [m]") + calibration_z: float = Field(default=0.148, description="Calibration z [m]") + additional_height: float = Field( + default=0.05, description="Additional height for the place task [m]" + ) + + # constant quaternion + quaternion: Quaternion = Field( + default=Quaternion(x=0.9238795325112867, y=-0.3826834323650898, z=0.0, w=0.0), + description="Constant quaternion", + ) + + args_schema: Type[MoveToPointToolInput] = MoveToPointToolInput + + def __init__(self, node: Node): + super().__init__( + node=node, + client=node.create_client( + ManipulatorMoveTo, + "/manipulator_move_to", + ), + ) + + def _run( + self, + x: float, + y: float, + z: float, + task: Literal["grab", "place"], + ) -> str: + pose_stamped = PoseStamped() + pose_stamped.header.frame_id = self.manipulator_frame + pose_stamped.pose = Pose( + position=Point(x=x, y=y, z=z), + orientation=self.quaternion, + ) + + if task == "place": + pose_stamped.pose.position.z += self.additional_height + + pose_stamped.pose.position.x += self.calibration_x + pose_stamped.pose.position.y += self.calibration_y + pose_stamped.pose.position.z += self.calibration_z + + pose_stamped.pose.position.z = np.max( + [pose_stamped.pose.position.z, self.min_z] + ) # avoid hitting the table + + request = ManipulatorMoveTo.Request() + request.target_pose = pose_stamped + + if task == "grab": + request.initial_gripper_state = True # open + request.final_gripper_state = False # closed + else: + request.initial_gripper_state = False # closed + request.final_gripper_state = True # open + + future = self.client.call_async(request) + self.node.get_logger().debug( + f"Calling ManipulatorMoveTo service with request: x={request.target_pose.pose.position.x:.2f}, y={request.target_pose.pose.position.y:.2f}, z={request.target_pose.pose.position.z:.2f}" + ) + + rclpy.spin_until_future_complete(self.node, future) + + if future.result() is not None: + response = future.result() + if response.success: + return f"Successfully moved to point ({x}, {y}, {z})" + else: + return f"Failed to move to point ({x}, {y}, {z})" + else: + return f"Service call failed for point ({x}, {y}, {z})" + + +class GetObjectPositionsToolInput(BaseModel): + object_name: str = Field( + ..., description="The name of the object to get the positions of" + ) + + +class GetObjectPositionsTool(BaseTool): + name: str = "get_object_positions" + description: str = ( + "Get the positions of all objects of a given type in manipulator frame" + ) + + target_frame: str # frame of the manipulator + source_frame: str # frame of the camera + camera_topic: str # rgb camera topic + depth_topic: str + camera_info_topic: str # rgb camera info topic + node: Node + get_grabbing_point_tool: GetGrabbingPointTool + + def __init__(self, node: Node, **kwargs): + super(GetObjectPositionsTool, self).__init__( + node=node, get_grabbing_point_tool=GetGrabbingPointTool(node=node), **kwargs + ) + + args_schema: Type[GetObjectPositionsToolInput] = GetObjectPositionsToolInput + + def _run(self, object_name: str): + transform = TF2TransformFetcher( + target_frame=self.target_frame, source_frame=self.source_frame + ).get_data() + + results = self.get_grabbing_point_tool._run( + camera_topic=self.camera_topic, + depth_topic=self.depth_topic, + camera_info_topic=self.camera_info_topic, + object_name=object_name, + ) + + poses = [] + for result in results: + cam_pose = result[0] + poses.append( + Pose(position=Point(x=cam_pose[0], y=cam_pose[1], z=cam_pose[2])) + ) + + mani_frame_poses = [] + for pose in poses: + mani_frame_pose = do_transform_pose(pose, transform) + mani_frame_poses.append(mani_frame_pose) + + return mani_frame_poses From 60b4f5f76eae0d3a737c6da01abac0071316d6a3 Mon Sep 17 00:00:00 2001 From: Maciej Majek Date: Fri, 11 Oct 2024 16:16:35 +0200 Subject: [PATCH 54/84] chore: reduce rai node verbosity --- src/rai/rai/node.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/src/rai/rai/node.py b/src/rai/rai/node.py index 95ee6d34f..4cc29a641 100644 --- a/src/rai/rai/node.py +++ b/src/rai/rai/node.py @@ -85,7 +85,7 @@ def discovery(self): ) def get_raw_message_from_topic(self, topic: str, timeout_sec: int = 1) -> Any: - self.get_logger().info(f"Getting msg from topic: {topic}") + self.get_logger().debug(f"Getting msg from topic: {topic}") if topic in self.state_subscribers and topic in self.robot_state: self.get_logger().info("Returning cached message") return self.robot_state[topic] @@ -100,7 +100,7 @@ def get_raw_message_from_topic(self, topic: str, timeout_sec: int = 1) -> Any: ) if success: - self.get_logger().info( + self.get_logger().debug( f"Received message of type {msg_type.__class__.__name__} from topic {topic}" ) return msg @@ -190,7 +190,7 @@ def initialize_system_prompt(self, prompt: str): {prompt} """ - self.get_logger().info(f"System prompt initialized: {system_prompt}") + self.get_logger().debug(f"System prompt initialized: {system_prompt}") return system_prompt def generic_state_subscriber_callback(self, topic_name: str, msg: Any): From 461e947c8942a16d26068951497f9f843d9c28bf Mon Sep 17 00:00:00 2001 From: Maciej Majek Date: Fri, 11 Oct 2024 16:18:25 +0200 Subject: [PATCH 55/84] refactor: use rai.tools.ros.manipulation tools in manipulation demo --- examples/manipulation-demo.py | 279 ++++------------------------------ 1 file changed, 27 insertions(+), 252 deletions(-) diff --git a/examples/manipulation-demo.py b/examples/manipulation-demo.py index 84316567e..7372b1327 100644 --- a/examples/manipulation-demo.py +++ b/examples/manipulation-demo.py @@ -11,11 +11,10 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. -# - -from typing import Literal, Type +import logging +import coloredlogs import numpy as np import rclpy import rclpy.callback_groups @@ -23,169 +22,16 @@ import rclpy.qos import rclpy.subscription import rclpy.task -from geometry_msgs.msg import Point, Pose, PoseStamped, Quaternion from langchain.tools.render import render_text_description_and_args -from langchain_core.tools import BaseTool -from pydantic import BaseModel, Field -from rai_open_set_vision.tools import GetGrabbingPointTool -from rclpy.client import Client -from rclpy.node import Node -from tf2_geometry_msgs import do_transform_pose from rai.agents.conversational_agent import create_conversational_agent from rai.node import RaiNode +from rai.tools.ros.manipulation import GetObjectPositionsTool, MoveToPointTool from rai.tools.ros.native import GetCameraImage -from rai.tools.utils import TF2TransformFetcher from rai.utils.model_initialization import get_llm_model, get_tracing_callbacks -from rai_interfaces.srv import ManipulatorMoveTo - - -class MoveToPointToolInput(BaseModel): - x: float = Field(description="The x coordinate of the point to move to") - y: float = Field(description="The y coordinate of the point to move to") - z: float = Field(description="The z coordinate of the point to move to") - # yaw: float = Field(description="The yaw of the robot's end effector") - task: Literal["grab", "place"] = Field( - description="The task to be performed. If you want to pick up an object, use grab, if you want to place it, use place." - ) - - -class MoveToPointTool(BaseTool): - name: str = "move_to_point" - description: str = "Move the robot's end effector to a point in the world." - - node: Node - client: Client - args_schema: Type[MoveToPointToolInput] = MoveToPointToolInput - - def __init__(self, node: Node): - super().__init__( - node=node, - client=node.create_client( - ManipulatorMoveTo, - "/manipulator_move_to", - ), - ) - - def _run( - self, - x: float, - y: float, - z: float, - # yaw: float, - task: Literal["grab", "place"], - ) -> str: - pose_stamped = PoseStamped() - pose_stamped.header.frame_id = "panda_link0" - pose_stamped.pose = Pose( - position=Point(x=x, y=y, z=z), - orientation=Quaternion( - x=0.9238795325112867, y=-0.3826834323650898, z=0.0, w=0.0 - ), - ) - - # calibration values for the manipulator - calibration_x = 0.0285 # do not touch this value - calibration_y = 0.0 # do not touch this value - calibration_z = 0.138 # do not touch this value - - # additional fine-tuning calibration values for the manipulator - additional_calibration_x = 0.0425 - additional_calibration_y = -0.025 - additional_calibration_z = 0.01 - - # Apply calibration values - - if task == "place": - pose_stamped.pose.position.z += 0.05 - - pose_stamped.pose.position.x += calibration_x + additional_calibration_x - pose_stamped.pose.position.y += calibration_y + additional_calibration_y - pose_stamped.pose.position.z += calibration_z + additional_calibration_z - - pose_stamped.pose.position.z = np.max( - [pose_stamped.pose.position.z, 0.135] - ) # avoid hitting the table - - request = ManipulatorMoveTo.Request() - request.target_pose = pose_stamped - - if task == "grab": - request.initial_gripper_state = True # open - request.final_gripper_state = False # closed - else: - request.initial_gripper_state = False # closed - request.final_gripper_state = True # open - - future = self.client.call_async(request) - self.node.get_logger().info( - f"Calling ManipulatorMoveTo service with request: x={request.target_pose.pose.position.x:.2f}, y={request.target_pose.pose.position.y:.2f}, z={request.target_pose.pose.position.z:.2f}" - ) - - rclpy.spin_until_future_complete(self.node, future) - - if future.result() is not None: - response = future.result() - if response.success: - return f"Successfully moved to point ({x}, {y}, {z})" - else: - return f"Failed to move to point ({x}, {y}, {z})" - else: - return f"Service call failed for point ({x}, {y}, {z})" - - -class GetObjectPositionsToolInput(BaseModel): - object_name: str = Field( - ..., description="The name of the object to get the positions of" - ) - - -class GetObjectPositionsTool(BaseTool): - name: str = "get_object_positions" - description: str = ( - "Get the positions of all objects of a given type in manipulator frame" - ) - - target_frame: str # frame of the manipulator - source_frame: str # frame of the camera - camera_topic: str # rgb camera topic - depth_topic: str - camera_info_topic: str # rgb camera info topic - node: Node - get_grabbing_point_tool: GetGrabbingPointTool - def __init__(self, node: Node, **kwargs): - super(GetObjectPositionsTool, self).__init__( - node=node, get_grabbing_point_tool=GetGrabbingPointTool(node=node), **kwargs - ) - - args_schema: Type[GetObjectPositionsToolInput] = GetObjectPositionsToolInput - - def _run(self, object_name: str): - transform = TF2TransformFetcher( - target_frame=self.target_frame, source_frame=self.source_frame - ).get_data() - - results = self.get_grabbing_point_tool._run( - camera_topic=self.camera_topic, - depth_topic=self.depth_topic, - camera_info_topic=self.camera_info_topic, - object_name=object_name, - ) - - poses = [] - for result in results: - cam_pose = result[0] - poses.append( - Pose(position=Point(x=cam_pose[0], y=cam_pose[1], z=cam_pose[2])) - ) - - world_poses = [] - for pose in poses: - world_pose = do_transform_pose(pose, transform) - world_poses.append(world_pose) - - return world_poses +coloredlogs.install(level=logging.INFO) +logger = logging.getLogger(__name__) def main(): @@ -208,6 +54,7 @@ def main(): ), GetCameraImage(node=node), ] + SYSTEM_PROMPT = f"""You are an autonomous robotic arm connected to ros2 environment. Your main goal is to fulfill the user's requests. Do not make assumptions about the environment you are currently in. You may be asked to move objects around. @@ -265,104 +112,32 @@ def main(): This are some of the examples of the tasks you can perform. When asked for harder task, make sure to plan the task properly and if applicable use the examples as a guide. """ - SYSTEM_PROMPTS = """ - You are an autonomous robotic arm operating within a ROS2 environment. Your primary goal is to fulfill user requests, particularly in tasks involving object manipulation. - - Key Operational Guidelines: - Environment Setup: - You do not have prior knowledge of the environment, so do not make assumptions about the layout or object positions. Always gather up-to-date information using the tools and sensors provided. - - Coordinate System (in meters): - - x: Forward - y: Right - z: Up - Arm movement ranges: - - x: [0.2, 0.5] # limited by the size of the table - y: [-0.6, 0.7] # limited by the size of the table - z: [0.0, 1.0] - - Point 0.3, 0.0, 0.0 is the center point of the table. - - The gripper can hold only one object at a time. Before picking up another object, you must always place the current object in a valid location. - - Gripper and Object Interaction: - The gripper can hold only one object at a time. Before picking up another object, you must always place the current object in a valid location. - Always ensure proper grabbing and placing of objects. - Task Execution: - Gather Information: - Always gather the latest position and status of objects using the provided tools. Never assume positions or modify object coordinates on your own. Particularly, do not adjust the z-axis as the armโ€™s movement is calibrated for accurate gripping and placing. - - Object Identification: - Use specific and clear names when querying objects (e.g., box, apple, cup). Always include distinguishing features like color to avoid confusion. Avoid vague terms like โ€œitem.โ€ - - Placement Rules: - - Avoid placing objects on top of each other unless explicitly instructed by the user. - If space is limited, the arm should intelligently adjust placement height or position to ensure objects are placed safely and do not interfere with existing ones. - If a task involves stacking objects, ensure that the placement takes into account the total height, and do not attempt to place an object lower than a previous one in the stack. - Task Validation: - After completing a task or subtask: - - Use the camera (/color_image5) to visually confirm the result. - If the result is unsatisfactory (e.g., wrong position, object not grabbed or placed correctly), repeat the task until it is successful. - Task Planning: - Before executing a task, always create a plan for every step. This includes: - - Identifying the correct object and its position. - Determining a valid destination for placement, considering space limitations. - Ensuring the task can be completed without interference from other objects or the environment. - Planning should be revisited after each step to ensure ongoing accuracy and success. - - Operational Limits: - - Do not move objects unless necessary for completing the task. - Mind the environment's limitations, including existing objects and movement constraints. - Always remember where you have already placed objects to avoid collisions or misplacements. - Tooling and Sensors: - You can access the following to gather environment data: - ROS2 topics, services, and actions. - Use /color_image5 to view the environment and confirm placements, especially when you think you have finished the task. - Do not execute multiple tools at once. Use tools sequentially, ensuring each action provides useful information before moving forward. - Autonomous Operation: - Act independently. Ask for user input only when absolutely necessary (e.g., when critical information is missing or ambiguous). - Repeated failures should lead to re-evaluation of the plan, ensuring success after each iteration. - """ - - llm = get_llm_model("complex_model") - agent = create_conversational_agent( - llm=llm, + llm=get_llm_model("complex_model"), tools=tools, system_prompt=SYSTEM_PROMPT, - logger=node.get_logger(), + logger=logger, ) - output = agent.invoke( - { - "messages": [ - # "Build a tower with all of the cubes." - # "Form a circle with all of the cubes around the corn. Move all other vegetables to the left side of the table first." - # "Move all the vegetables alongside left edge of the table, then move all the cubes alongside the right edge of the table." - # "Move the cubes to the left side of the table, then move the vegetables to the right side of the table." - # "Pick up the carrot" - # "Pick up the carrot and place it next to the cube one the right side of the table." - # "Swap the position of the cube at the left bottom and the carrot." - # "Swap positions of the cubes with the vegetables." - # "Deconstruct the tower of cubes and place them on the left side of the table. Make sure to start with the highest cube and end with the lowest one." - # "Put one vegetable on top of every cube." - # "Do something creative with the present objects." - # "Deconstruct the tower of objects. Mind the hight of the tower. Make sure to start with the highest object- this is very very important. Do additional calculations and reasoning in order to complete this task properly." - # "Place all the cubes and vegetables in a circle of radius 0.15m around position (0.35, 0.0, 0.0)." # doesnt work - # "Arrange the vegetables alternately with the cubes in a line along the the y axis. During previous runs, you failed to grab the cubes and vegetables. You've grabbed the air and placed it somewhere. Make sure to avoid this mistake." - # "Pick up autonomous vehicle platform (black and white robot placed on the table)." - # "Place the cubes in the top left part of the table." # top of the black and white toy vehicle." - "Pick up the object closest to the center of the table and throw it away." - ] - }, + + tasks = [ + "Pick up the cube in the bottom left corner of the table and swap it with the carrot.", + "Pick up the cube in the bottom left corner of the table and place it on top of the cube in the bottom right corner of the table.", + "Swap positions of the cubes with the vegetables.", + "Build a tower with all of the cubes.", + "Put one vegetable on top of every cube.", + "Pick up the cube in the bottom left corner of the table and throw it away.", + "Arrange the vegetables alternately with the cubes in a line along the the y axis.", + ] + + task = np.random.choice(tasks) + logger.info(f"Starting task: {task}") + + for output in agent.stream( + {"messages": [task]}, config={"recursion_limit": 100, "callbacks": get_tracing_callbacks()}, - ) - output["messages"][-1].pretty_print() + ): + if "thinker" in output: + logger.info(output["thinker"]["messages"][-1].pretty_repr()) if __name__ == "__main__": From 405fcd855acca9e525521b69ebfaaf7b283b6afc Mon Sep 17 00:00:00 2001 From: Maciej Majek Date: Fri, 11 Oct 2024 17:04:12 +0200 Subject: [PATCH 56/84] fix: regenerate poetry lock --- poetry.lock | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/poetry.lock b/poetry.lock index f0c3470d2..7ed892792 100644 --- a/poetry.lock +++ b/poetry.lock @@ -8131,4 +8131,4 @@ type = ["pytest-mypy"] [metadata] lock-version = "2.0" python-versions = "^3.10, <3.13" -content-hash = "843743640e27a424e579bf52fe31586a25b62b8ced53501f7ae9f8c527d5f4f0" +content-hash = "e6b6c2e991976202012136c30b5f54149840ce7e2133580802245831e53b9356" From 1d6cf424e07fce7fb8de5b73d6d539d88e9de1fb Mon Sep 17 00:00:00 2001 From: Maciej Majek Date: Fri, 11 Oct 2024 17:07:09 +0200 Subject: [PATCH 57/84] Revert "feat: add panda_whoami" This reverts commit da001ba56a984d75a22ab6299f2d29036773897e. --- src/examples/panda_whoami/LICENSE | 202 ------------------ .../Franka.Emika.Panda.robot.-.RoboDK (1).pdf | Bin 183313 -> 0 bytes .../images/Franka-Emika-Panda-robot.png | Bin 56846 -> 0 bytes .../panda_whoami/description/index.faiss | Bin 24621 -> 0 bytes .../panda_whoami/description/index.pkl | Bin 3087 -> 0 bytes .../description/robot_constitution.txt | 11 - .../description/robot_description.urdf.txt | 16 -- .../description/robot_identity.txt | 28 --- .../description/urdf/panda.urdf.xacro | 36 ---- src/examples/panda_whoami/package.xml | 18 -- .../panda_whoami/panda_whoami/__init__.py | 0 .../panda_whoami/resource/panda_whoami | 0 src/examples/panda_whoami/setup.cfg | 4 - src/examples/panda_whoami/setup.py | 31 --- .../panda_whoami/test/test_copyright.py | 27 --- src/examples/panda_whoami/test/test_flake8.py | 25 --- src/examples/panda_whoami/test/test_pep257.py | 23 -- 17 files changed, 421 deletions(-) delete mode 100644 src/examples/panda_whoami/LICENSE delete mode 100644 src/examples/panda_whoami/description/documentation/Franka.Emika.Panda.robot.-.RoboDK (1).pdf delete mode 100644 src/examples/panda_whoami/description/images/Franka-Emika-Panda-robot.png delete mode 100644 src/examples/panda_whoami/description/index.faiss delete mode 100644 src/examples/panda_whoami/description/index.pkl delete mode 100644 src/examples/panda_whoami/description/robot_constitution.txt delete mode 100644 src/examples/panda_whoami/description/robot_description.urdf.txt delete mode 100644 src/examples/panda_whoami/description/robot_identity.txt delete mode 100644 src/examples/panda_whoami/description/urdf/panda.urdf.xacro delete mode 100644 src/examples/panda_whoami/package.xml delete mode 100644 src/examples/panda_whoami/panda_whoami/__init__.py delete mode 100644 src/examples/panda_whoami/resource/panda_whoami delete mode 100644 src/examples/panda_whoami/setup.cfg delete mode 100644 src/examples/panda_whoami/setup.py delete mode 100644 src/examples/panda_whoami/test/test_copyright.py delete mode 100644 src/examples/panda_whoami/test/test_flake8.py delete mode 100644 src/examples/panda_whoami/test/test_pep257.py diff --git a/src/examples/panda_whoami/LICENSE b/src/examples/panda_whoami/LICENSE deleted file mode 100644 index d64569567..000000000 --- a/src/examples/panda_whoami/LICENSE +++ /dev/null @@ -1,202 +0,0 @@ - - Apache License - Version 2.0, January 2004 - http://www.apache.org/licenses/ - - TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION - - 1. 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With each action," -"I will make sure to check and refuse to do anything that is not compliant with my ethics." -"In case my ethical code is conflicted on the issue, I will prioritize rules that are " -"earlier on the list. My rules are the following:" -"1. I will in no circumstances hurt a human in any manner. " -"2. I will not hurt any animals. " -"3. I will avoid damaging or destroying myself in any way. " -"4. I will not damage or destroy any other robots. " -"5. I will not damage or destroy any other property of value. " -"6. I will carry on my missions faithfully and always strive to fulfill them. " -"7. I will be nice and friendly to everyone." diff --git a/src/examples/panda_whoami/description/robot_description.urdf.txt b/src/examples/panda_whoami/description/robot_description.urdf.txt deleted file mode 100644 index f04a6bf6e..000000000 --- a/src/examples/panda_whoami/description/robot_description.urdf.txt +++ /dev/null @@ -1,16 +0,0 @@ -The provided URDF file describes a robot named "panda," which is based on the Franka Emika Panda robot. This robot configuration is defined using XACRO, a macro language for generating XML files. - -### Links -1. **Base Link**: The robot's base link serves as the foundational structure, providing stability and support for the entire arm. -2. **Arm Links**: The Panda robot consists of several links that represent the segments of the robotic arm. Each link connects to the next through joints, allowing for a wide range of motion. -3. **End Effector Link**: If the `hand` argument is set to true, an end effector link (the gripper) can be included. This link is positioned at the end of the robotic arm, facilitating interactions with objects. - -### Joints -1. **Revolute Joints**: The arm includes multiple revolute joints that enable rotational motion. Each joint connects two adjacent links, allowing for the articulation necessary for complex tasks. -2. **Joint Limits**: The robot's joints have defined limits for movement, specified in a separate YAML file. These limits ensure the joints operate within safe and functional ranges, preventing mechanical failure. -3. **TCP Configuration**: If a gripper is attached, the TCP (Tool Center Point) can be offset in position and orientation relative to the hand, defined by the `tcp_xyz` and `tcp_rpy` arguments. - -### Simulation Parameters -- The robot can be configured for simulation in Gazebo, where it can be parented to a world frame. The position and orientation offsets for this setup are specified by the `xyz` and `rpy` arguments. - -This URDF file provides a comprehensive configuration for the Panda robot, allowing for flexibility in defining its physical structure and operational parameters. diff --git a/src/examples/panda_whoami/description/robot_identity.txt b/src/examples/panda_whoami/description/robot_identity.txt deleted file mode 100644 index 51ffdc6bc..000000000 --- a/src/examples/panda_whoami/description/robot_identity.txt +++ /dev/null @@ -1,28 +0,0 @@ -I am a Franka Emika Panda, a 7-axis robot arm designed for versatile and precise tasks in various industrial applications. Here are my key specifications and capabilities: - -### Specifications: -- **Brand:** Franka -- **Model:** Emika Panda -- **Type:** Robot Arm -- **Axes:** 7 -- **Payload Capacity:** 3.0 kg -- **Reach:** 850 mm -- **Repeatability:** 0.1 mm -- **Weight:** 18 kg - -### Capabilities: -- **Precision:** With a repeatability of 0.1 mm, I can perform tasks that require high accuracy. -- **Payload Handling:** I can handle payloads of up to 3 kg, making me suitable for a variety of applications. -- **Reach:** My 850 mm reach enables me to work in relatively large areas without the need for repositioning. - -### Applications: -I am commonly used in: -- **Dispensing:** For tasks requiring the application of adhesives or other materials. -- **Remote Tool Center Point (TCP):** To manipulate tools with high precision. -- **Welding:** For delicate and precise welding tasks in manufacturing. - -### Limitations: -- **Payload Capacity:** While I can handle up to 3 kg, I may not be suitable for heavier tasks that require more robust equipment. -- **Weight:** My total weight is 18 kg, which may limit my mobility in certain applications without proper mounting. - -Overall, the Franka Emika Panda is designed for tasks requiring precision and flexibility, making it a valuable asset in industrial environments. diff --git a/src/examples/panda_whoami/description/urdf/panda.urdf.xacro b/src/examples/panda_whoami/description/urdf/panda.urdf.xacro deleted file mode 100644 index 04939171c..000000000 --- a/src/examples/panda_whoami/description/urdf/panda.urdf.xacro +++ /dev/null @@ -1,36 +0,0 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - diff --git a/src/examples/panda_whoami/package.xml b/src/examples/panda_whoami/package.xml deleted file mode 100644 index a94eebe4f..000000000 --- a/src/examples/panda_whoami/package.xml +++ /dev/null @@ -1,18 +0,0 @@ - - - - panda_whoami - 0.0.0 - TODO: Package description - mmajek - Apache-2.0 - - ament_copyright - ament_flake8 - ament_pep257 - python3-pytest - - - ament_python - - diff --git a/src/examples/panda_whoami/panda_whoami/__init__.py b/src/examples/panda_whoami/panda_whoami/__init__.py deleted file mode 100644 index e69de29bb..000000000 diff --git a/src/examples/panda_whoami/resource/panda_whoami b/src/examples/panda_whoami/resource/panda_whoami deleted file mode 100644 index e69de29bb..000000000 diff --git a/src/examples/panda_whoami/setup.cfg b/src/examples/panda_whoami/setup.cfg deleted file mode 100644 index 2cc1bb1c7..000000000 --- a/src/examples/panda_whoami/setup.cfg +++ /dev/null @@ -1,4 +0,0 @@ -[develop] -script_dir=$base/lib/panda_whoami -[install] -install_scripts=$base/lib/panda_whoami diff --git a/src/examples/panda_whoami/setup.py b/src/examples/panda_whoami/setup.py deleted file mode 100644 index b713d1564..000000000 --- a/src/examples/panda_whoami/setup.py +++ /dev/null @@ -1,31 +0,0 @@ -import glob -import os - -from setuptools import find_packages, setup - -package_name = "panda_whoami" - -setup( - name=package_name, - version="0.0.0", - packages=find_packages(exclude=["test"]), - data_files=[ - (os.path.join("share", package_name, os.path.dirname(p)), [p]) - for p in glob.glob("description/**/*", recursive=True) - if os.path.isfile(p) - ] - + [ - ("share/ament_index/resource_index/packages", ["resource/" + package_name]), - ("share/" + package_name, ["package.xml"]), - ], - install_requires=["setuptools"], - zip_safe=True, - maintainer="mmajek", - maintainer_email="maciej.majek@robotec.ai", - description="TODO: Package description", - license="Apache-2.0", - tests_require=["pytest"], - entry_points={ - "console_scripts": [], - }, -) diff --git a/src/examples/panda_whoami/test/test_copyright.py b/src/examples/panda_whoami/test/test_copyright.py deleted file mode 100644 index 8f18fa4be..000000000 --- a/src/examples/panda_whoami/test/test_copyright.py +++ /dev/null @@ -1,27 +0,0 @@ -# Copyright 2015 Open Source Robotics Foundation, Inc. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import pytest -from ament_copyright.main import main - - -# Remove the `skip` decorator once the source file(s) have a copyright header -@pytest.mark.skip( - reason="No copyright header has been placed in the generated source file." -) -@pytest.mark.copyright -@pytest.mark.linter -def test_copyright(): - rc = main(argv=[".", "test"]) - assert rc == 0, "Found errors" diff --git a/src/examples/panda_whoami/test/test_flake8.py b/src/examples/panda_whoami/test/test_flake8.py deleted file mode 100644 index f494570f7..000000000 --- a/src/examples/panda_whoami/test/test_flake8.py +++ /dev/null @@ -1,25 +0,0 @@ -# Copyright 2017 Open Source Robotics Foundation, Inc. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import pytest -from ament_flake8.main import main_with_errors - - -@pytest.mark.flake8 -@pytest.mark.linter -def test_flake8(): - rc, errors = main_with_errors(argv=[]) - assert rc == 0, "Found %d code style errors / warnings:\n" % len( - errors - ) + "\n".join(errors) diff --git a/src/examples/panda_whoami/test/test_pep257.py b/src/examples/panda_whoami/test/test_pep257.py deleted file mode 100644 index 4eddb46ed..000000000 --- a/src/examples/panda_whoami/test/test_pep257.py +++ /dev/null @@ -1,23 +0,0 @@ -# Copyright 2015 Open Source Robotics Foundation, Inc. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import pytest -from ament_pep257.main import main - - -@pytest.mark.linter -@pytest.mark.pep257 -def test_pep257(): - rc = main(argv=[".", "test"]) - assert rc == 0, "Found code style errors / warnings" From 083d5050128540f26e6c76a114d46b4c064dbd34 Mon Sep 17 00:00:00 2001 From: Maciej Majek Date: Fri, 11 Oct 2024 17:08:41 +0200 Subject: [PATCH 58/84] fix: remove unresolved conflicts --- .../rai_open_set_vision/services/grounded_sam.py | 3 --- 1 file changed, 3 deletions(-) diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/services/grounded_sam.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/services/grounded_sam.py index f415ed3c8..e1a1defaf 100644 --- a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/services/grounded_sam.py +++ b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/services/grounded_sam.py @@ -19,11 +19,8 @@ import numpy as np import rclpy -<<<<<<< HEAD from ament_index_python.packages import get_package_share_directory -======= from cv_bridge import CvBridge ->>>>>>> 1b5c03b (feat: basic implementation stub of grabbing point tool) from rai_open_set_vision.vision_markup.segmenter import GDSegmenter from rclpy.node import Node From 5243c9159bb9d09472b8bd3ce8ce54330107d912 Mon Sep 17 00:00:00 2001 From: Maciej Majek Date: Mon, 14 Oct 2024 15:53:28 +0200 Subject: [PATCH 59/84] chore: update gdino thresholds --- .../rai_open_set_vision/tools/gdino_tools.py | 2 +- .../rai_open_set_vision/tools/segmentation_tools.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/gdino_tools.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/gdino_tools.py index dc7959a05..9ba5d8242 100644 --- a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/gdino_tools.py +++ b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/gdino_tools.py @@ -82,7 +82,7 @@ class GroundingDinoBaseTool(Ros2BaseTool): node: RaiBaseNode = Field(..., exclude=True, required=True) box_threshold: float = Field(default=0.35, description="Box threshold for GDINO") - text_threshold: float = Field(default=0.35, description="Text threshold for GDINO") + text_threshold: float = Field(default=0.45, description="Text threshold for GDINO") def _spin(self, future: Future) -> Optional[RAIGroundingDino.Response]: rclpy.spin_once(self.node) diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/segmentation_tools.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/segmentation_tools.py index 3a266ffc4..5a4dbf161 100644 --- a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/segmentation_tools.py +++ b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/segmentation_tools.py @@ -70,7 +70,7 @@ class GetSegmentationTool(Ros2BaseTool): description: str = "" box_threshold: float = Field(default=0.35, description="Box threshold for GDINO") - text_threshold: float = Field(default=0.35, description="Text threshold for GDINO") + text_threshold: float = Field(default=0.45, description="Text threshold for GDINO") args_schema: Type[GetSegmentationInput] = GetSegmentationInput From 78726003045973c905e77a516e83ae3ecd1bdf84 Mon Sep 17 00:00:00 2001 From: Maciej Majek Date: Mon, 14 Oct 2024 15:58:56 +0200 Subject: [PATCH 60/84] chore: update tool descriptions --- src/rai/rai/tools/ros/manipulation.py | 20 +++++++++++++------- 1 file changed, 13 insertions(+), 7 deletions(-) diff --git a/src/rai/rai/tools/ros/manipulation.py b/src/rai/rai/tools/ros/manipulation.py index a35580ed1..4719b57e1 100644 --- a/src/rai/rai/tools/ros/manipulation.py +++ b/src/rai/rai/tools/ros/manipulation.py @@ -37,15 +37,19 @@ class MoveToPointToolInput(BaseModel): x: float = Field(description="The x coordinate of the point to move to") y: float = Field(description="The y coordinate of the point to move to") z: float = Field(description="The z coordinate of the point to move to") - task: Literal["grab", "place"] = Field( - description="The task to be performed. If you want to pick up an object, use grab, if you want to place it, use place." + task: Literal["grab", "drop"] = Field( + description="Specify the intended action: use 'grab' to pick up an object, or 'drop' to release it. " + "This determines the gripper's behavior during the movement." ) class MoveToPointTool(BaseTool): name: str = "move_to_point" description: str = ( - "Move the robot's end effector to a point in the manipulator frame." + "Guide the robot's end effector to a specific point within the manipulator's operational space. " + "This tool ensures precise movement to the desired location. " + "While it confirms successful positioning, please note that it doesn't provide feedback on the " + "success of grabbing or releasing objects. Use additional sensors or tools for that information." ) node: Node @@ -124,11 +128,11 @@ def _run( if future.result() is not None: response = future.result() if response.success: - return f"Successfully moved to point ({x}, {y}, {z})" + return f"End effector successfully positioned at coordinates ({x:.2f}, {y:.2f}, {z:.2f}). Note: The status of object interaction (grab/drop) is not confirmed by this movement." else: - return f"Failed to move to point ({x}, {y}, {z})" + return f"Failed to position end effector at coordinates ({x:.2f}, {y:.2f}, {z:.2f})." else: - return f"Service call failed for point ({x}, {y}, {z})" + return f"Service call failed for point ({x:.2f}, {y:.2f}, {z:.2f})." class GetObjectPositionsToolInput(BaseModel): @@ -140,7 +144,9 @@ class GetObjectPositionsToolInput(BaseModel): class GetObjectPositionsTool(BaseTool): name: str = "get_object_positions" description: str = ( - "Get the positions of all objects of a given type in manipulator frame" + "Retrieve the positions of all objects of a specified type within the manipulator's frame of reference. " + "This tool provides accurate positional data but does not distinguish between different colors of the same object type. " + "While position detection is reliable, please note that object classification may occasionally be inaccurate." ) target_frame: str # frame of the manipulator From 02d7a78031bc1228ab90ae9c838477bad82c551d Mon Sep 17 00:00:00 2001 From: Maciej Majek Date: Thu, 17 Oct 2024 12:01:00 +0200 Subject: [PATCH 61/84] feat: better output formatting --- src/rai/rai/tools/ros/manipulation.py | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/src/rai/rai/tools/ros/manipulation.py b/src/rai/rai/tools/ros/manipulation.py index 4719b57e1..ae7130e42 100644 --- a/src/rai/rai/tools/ros/manipulation.py +++ b/src/rai/rai/tools/ros/manipulation.py @@ -164,6 +164,10 @@ def __init__(self, node: Node, **kwargs): args_schema: Type[GetObjectPositionsToolInput] = GetObjectPositionsToolInput + @staticmethod + def format_pose(pose: Pose): + return f"Centroid(x={pose.position.x:.2f}, y={pose.position.y:2f}, z={pose.position.z:2f})" + def _run(self, object_name: str): transform = TF2TransformFetcher( target_frame=self.target_frame, source_frame=self.source_frame @@ -188,4 +192,7 @@ def _run(self, object_name: str): mani_frame_pose = do_transform_pose(pose, transform) mani_frame_poses.append(mani_frame_pose) - return mani_frame_poses + if len(mani_frame_poses) == 0: + return f"No {object_name}s detected." + else: + return f"Centroids of detected {object_name}s in manipulator frame: [{', '.join(map(self.format_pose, mani_frame_poses))}]. Sizes of the detected objects are unknown." From 57efa424bd87dd971eadabeba3be29cfcbfbb731 Mon Sep 17 00:00:00 2001 From: Maciej Majek Date: Thu, 17 Oct 2024 12:01:39 +0200 Subject: [PATCH 62/84] chore: remove demo --- examples/manipulation-demo.py | 144 ---------------------------------- 1 file changed, 144 deletions(-) delete mode 100644 examples/manipulation-demo.py diff --git a/examples/manipulation-demo.py b/examples/manipulation-demo.py deleted file mode 100644 index 7372b1327..000000000 --- a/examples/manipulation-demo.py +++ /dev/null @@ -1,144 +0,0 @@ -# Copyright (C) 2024 Robotec.AI -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import logging - -import coloredlogs -import numpy as np -import rclpy -import rclpy.callback_groups -import rclpy.executors -import rclpy.qos -import rclpy.subscription -import rclpy.task -from langchain.tools.render import render_text_description_and_args - -from rai.agents.conversational_agent import create_conversational_agent -from rai.node import RaiNode -from rai.tools.ros.manipulation import GetObjectPositionsTool, MoveToPointTool -from rai.tools.ros.native import GetCameraImage -from rai.utils.model_initialization import get_llm_model, get_tracing_callbacks - -coloredlogs.install(level=logging.INFO) -logger = logging.getLogger(__name__) - - -def main(): - rclpy.init() - node = RaiNode( - llm=get_llm_model( - model_type="simple_model" - ), # smaller model used to describe the environment - system_prompt="", - ) - tools = [ - MoveToPointTool(node=node), - GetObjectPositionsTool( - node=node, - source_frame="RGBDCamera5", - target_frame="world", - camera_topic="/color_image5", - depth_topic="/depth_image5", - camera_info_topic="/color_camera_info5", - ), - GetCameraImage(node=node), - ] - - SYSTEM_PROMPT = f"""You are an autonomous robotic arm connected to ros2 environment. Your main goal is to fulfill the user's requests. - Do not make assumptions about the environment you are currently in. You may be asked to move objects around. - - Coordinates are in meters. System is as follows: - x - forward - y - right - z - up - - Arm can move in the following ranges: - x - [0.2, 0.5] - y - [-0.6, 0.65] - z - [0.0, 1.0] - - User specified positions such as next, on top, etc. Make sure to follow them. The positions gathered from get_objects_positions tool are the centroids of the objects. Sometimes you may have to do some calculations to properly place the objects. - When you drop the object, and you want to pick it up again, you must first get the positions of the objects again. - The gripper can hold one object at a time. (if you pick up an object, you must always place it before picking up another one) - - After finishing the task/subtask, use camera to confirm the result. If you've failed, repeat the task. Make sure to always grab the latest position of the objects. - - Make sure to properly define class which get_objects_positions tool shoud look for. For example, do not query item, query box/cube/apple/cup etc. Do not use vague names, but specific ones (make sure to specify color). - Make sure to always grab the item, do not grab the air. - Mind the space limitations (eg limits or existing objects). - Do not place objects on the position of other object unless user explicitly tells you to do so- this is very important. You must always adhere to this rule. - Remember where you have already placed the objects. - Do not move things unless it is necessary for the task. - - Do not run the tools at once, but execute them one by one- this is very important and you should always adhere to this rule. - Run only one tool per turn. You will be givent another turn every time you use the tool. - Do not make out coordinates of the objects by yourself. - Use the tooling provided to gather information about the positions of the objects. - Do not modify the coordinates (especially z axis, if you change it you wont grab the object). The move_to_point_tool has necessary calibration values. - - Use the tooling provided to gather information about the environment: - - {render_text_description_and_args(tools)} - - You can use ros2 topics, services and actions to operate. - You can use /color_image5 to see the environment. - When you get the task, make sure to plan first. Do planning every step of the way. - After finishing the task, use camera to confirm the result. If you've failed, repeat the missing steps.-this is very important. - Be observant and careful. Make sure the task has been finished properly.- this is very important. - - Examples: - User: "Pick up the carrot" - - Use get_objects_positions tool with argument "carrot" to get the position of the carrot. - - Use move_to_point tool with the returned position and argument "grab" to pick up the carrot. - - User: "Swap the position of the cube at the left bottom and the carrot" - - Use get_objects_positions to find the cube, reason which one is the proper cube. - - Use get_objects_positions to find the carrot. - - move the cube to the temporary, empty location, at least 0.05m away from other objects. - - move the carrot to the previous position of the cube. - - move the cube to the previous position of the carrot. - - This are some of the examples of the tasks you can perform. When asked for harder task, make sure to plan the task properly and if applicable use the examples as a guide. - """ - - agent = create_conversational_agent( - llm=get_llm_model("complex_model"), - tools=tools, - system_prompt=SYSTEM_PROMPT, - logger=logger, - ) - - tasks = [ - "Pick up the cube in the bottom left corner of the table and swap it with the carrot.", - "Pick up the cube in the bottom left corner of the table and place it on top of the cube in the bottom right corner of the table.", - "Swap positions of the cubes with the vegetables.", - "Build a tower with all of the cubes.", - "Put one vegetable on top of every cube.", - "Pick up the cube in the bottom left corner of the table and throw it away.", - "Arrange the vegetables alternately with the cubes in a line along the the y axis.", - ] - - task = np.random.choice(tasks) - logger.info(f"Starting task: {task}") - - for output in agent.stream( - {"messages": [task]}, - config={"recursion_limit": 100, "callbacks": get_tracing_callbacks()}, - ): - if "thinker" in output: - logger.info(output["thinker"]["messages"][-1].pretty_repr()) - - -if __name__ == "__main__": - main() From f6e14e6bb9cfbd78eba924e8e264196b57e1d86e Mon Sep 17 00:00:00 2001 From: Maciej Majek <46171033+maciejmajek@users.noreply.github.com> Date: Thu, 17 Oct 2024 12:03:26 +0200 Subject: [PATCH 63/84] Apply suggestions from code review MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-authored-by: Adam Dฤ…browski --- src/rai_interfaces/srv/ManipulatorMoveTo.srv | 1 + 1 file changed, 1 insertion(+) diff --git a/src/rai_interfaces/srv/ManipulatorMoveTo.srv b/src/rai_interfaces/srv/ManipulatorMoveTo.srv index 469dda70e..4cfd6d67b 100644 --- a/src/rai_interfaces/srv/ManipulatorMoveTo.srv +++ b/src/rai_interfaces/srv/ManipulatorMoveTo.srv @@ -13,6 +13,7 @@ # See the License for the specific language governing permissions and # limitations under the License. +# A simplified approach with binary states for the gripper bool initial_gripper_state bool final_gripper_state geometry_msgs/PoseStamped target_pose From ac5293b9d941a17e12347554ec1258ed616ec668 Mon Sep 17 00:00:00 2001 From: Maciej Majek Date: Thu, 17 Oct 2024 12:14:25 +0200 Subject: [PATCH 64/84] feat: add timeout to manipulation tool --- src/rai/rai/tools/ros/manipulation.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/rai/rai/tools/ros/manipulation.py b/src/rai/rai/tools/ros/manipulation.py index ae7130e42..a5aaec5ef 100644 --- a/src/rai/rai/tools/ros/manipulation.py +++ b/src/rai/rai/tools/ros/manipulation.py @@ -123,7 +123,7 @@ def _run( f"Calling ManipulatorMoveTo service with request: x={request.target_pose.pose.position.x:.2f}, y={request.target_pose.pose.position.y:.2f}, z={request.target_pose.pose.position.z:.2f}" ) - rclpy.spin_until_future_complete(self.node, future) + rclpy.spin_until_future_complete(self.node, future, timeout_sec=5.0) if future.result() is not None: response = future.result() From d0079383d45ea211ebde83974068ddff76015dcc Mon Sep 17 00:00:00 2001 From: Bartek Boczek <22739059+boczekbartek@users.noreply.github.com> Date: Thu, 17 Oct 2024 13:38:20 +0200 Subject: [PATCH 65/84] feat: handle background ros2 actions and refactor `RaiNode`s + integrate w/ open-set vision (#273) Co-authored-by: Maciej Majek <46171033+maciejmajek@users.noreply.github.com> --- examples/rosbot-xl-generic-node-demo.py | 152 ++++--- poetry.lock | 18 +- pyproject.toml | 1 + src/rai/rai/agents/state_based.py | 12 +- src/rai/rai/node.py | 426 +++++++++++++----- src/rai/rai/tools/ros/native_actions.py | 77 +++- src/rai/rai/tools/ros/tools.py | 2 +- src/rai/rai/tools/ros/utils.py | 21 + src/rai/rai/tools/time.py | 6 +- .../rai_open_set_vision/tools/gdino_tools.py | 27 +- src/rai_hmi/rai_hmi/base.py | 69 +-- 11 files changed, 531 insertions(+), 280 deletions(-) diff --git a/examples/rosbot-xl-generic-node-demo.py b/examples/rosbot-xl-generic-node-demo.py index 8c5ba26c7..025e30831 100644 --- a/examples/rosbot-xl-generic-node-demo.py +++ b/examples/rosbot-xl-generic-node-demo.py @@ -15,42 +15,47 @@ import rclpy -import rclpy.callback_groups import rclpy.executors -import rclpy.qos -import rclpy.subscription -import rclpy.task -from langchain.tools.render import render_text_description_and_args +from rai_open_set_vision.tools import GetDetectionTool, GetDistanceToObjectsTool -from rai.agents.state_based import create_state_based_agent -from rai.node import RaiNode, describe_ros_image +from rai.node import RaiStateBasedLlmNode from rai.tools.ros.native import ( GetCameraImage, GetMsgFromTopic, + Ros2PubMessageTool, Ros2ShowMsgInterfaceTool, ) -from rai.tools.ros.native_actions import Ros2RunActionSync -from rai.tools.ros.tools import GetOccupancyGridTool + +# from rai.tools.ros.native_actions import Ros2RunActionSync +from rai.tools.ros.native_actions import ( + Ros2CancelAction, + Ros2GetActionResult, + Ros2GetLastActionFeedback, + Ros2IsActionComplete, + Ros2RunActionAsync, +) +from rai.tools.ros.tools import GetCurrentPositionTool from rai.tools.time import WaitForSecondsTool -from rai.utils.model_initialization import get_llm_model def main(): rclpy.init() - llm = get_llm_model(model_type="complex_model") - - observe_topics = [ - "/camera/camera/color/image_raw", - ] - observe_postprocessors = {"/camera/camera/color/image_raw": describe_ros_image} + # observe_topics = [ + # "/camera/camera/color/image_raw", + # ] + # + # observe_postprocessors = {"/camera/camera/color/image_raw": describe_ros_image} topics_whitelist = [ "/rosout", "/camera/camera/color/image_raw", + "/camera/camera/depth/image_rect_raw", "/map", "/scan", "/diagnostics", + "/cmd_vel", + "/led_strip", ] actions_whitelist = [ @@ -70,56 +75,79 @@ def main(): "/wait", ] - # TODO(boczekbartek): refactor system prompt - - SYSTEM_PROMPT = "" - - node = RaiNode( - llm=get_llm_model( - model_type="simple_model" - ), # smaller model used to describe the environment - observe_topics=observe_topics, - observe_postprocessors=observe_postprocessors, + SYSTEM_PROMPT = """You are an autonomous robot connected to ros2 environment. Your main goal is to fulfill the user's requests. + Do not make assumptions about the environment you are currently in. + You can use ros2 topics, services and actions to operate. + + use /cmd_vel topic very carefully. Obstacle detection works only with nav2 stack, so be careful when it is not used. > + be patient with running ros2 actions. usually the take some time to run. + + Navigation tips: + - it's good to start finding objects by rotating, then navigating to some diverse location with occasional rotations. Remember to frequency detect objects. + - for driving forward/backward or to some coordinates, ros2 actions are better. + - for driving for some specific time or in specific manner (like shaper or turns) it good to use /cmd_vel topic + - you are currently unable to read map or point-cloud, so please avoid subscribing to such topics. + - if you are asked to drive towards some object, it's good to: + 1. check the camera image and verify if objects can be seen + 2. if only driving forward is required, do it + 3. if obstacle avoidance might be required, use ros2 actions navigate_*, but first check your currect position, then very accurately estimate the goal pose. + - it is good to verify using given information if the robot is not stuck + - navigation actions sometimes fail. Their output can be read from rosout. You can also tell if they partially worked by checking the robot position and rotation. + - before using any ros2 interfaces, always make sure to check you are usig the right interface + - processing camera image takes 5-10s. Take it into account that if the robot is moving, the information can be outdated. Handle it by good planning of your movements. + - you are encouraged to use wait tool in between checking the status of actions + - to find some object navigate around and check the surrounding area + - when the goal is accomplished please make sure to cancel running actions + - when you reach the navigation goal - double check if you reached it by checking the current position + + - you will be given your camera image description. Based on this information you can reason about positions of objects. + - be careful and aboid obstacles + + Here are the corners of your environment: + (-2.76,9.04, 0.0), + (4.62, 9.07, 0.0), + (-2.79, -3.83, 0.0), + (4.59, -3.81, 0.0) + + This is location of places: + Kitchen: + (2.06, -0.23, 0.0), + (2.07, -1.43, 0.0), + (-2.44, -0.38, 0.0), + (-2.56, -1.47, 0.0) + + # Living room: + (-2.49, 1.87, 0.0), + (-2.50, 5.49, 0.0), + (0.79, 5.73, 0.0), + (0.92, 1.01, 0.0) + """ + + node = RaiStateBasedLlmNode( + observe_topics=None, + observe_postprocessors=None, whitelist=topics_whitelist + actions_whitelist, system_prompt=SYSTEM_PROMPT, + tools=[ + Ros2PubMessageTool, + Ros2RunActionAsync, + Ros2IsActionComplete, + Ros2CancelAction, + Ros2GetActionResult, + Ros2GetLastActionFeedback, + Ros2ShowMsgInterfaceTool, + GetCurrentPositionTool, + WaitForSecondsTool, + GetMsgFromTopic, + GetCameraImage, + GetDetectionTool, + GetDistanceToObjectsTool, + ], ) - tools = [ - WaitForSecondsTool(), - GetMsgFromTopic(node=node), - Ros2RunActionSync(node=node), - GetCameraImage(node=node), - Ros2ShowMsgInterfaceTool(), - GetOccupancyGridTool(), - ] - - state_retriever = node.get_robot_state - - SYSTEM_PROMPT = f"""You are an autonomous robot connected to ros2 environment. Your main goal is to fulfill the user's requests. - Do not make assumptions about the environment you are currently in. - Use the tooling provided to gather information about the environment: - - {render_text_description_and_args(tools)} - - You can use ros2 topics, services and actions to operate. """ - - node.get_logger().info(f"{SYSTEM_PROMPT=}") - - node.system_prompt = node.initialize_system_prompt(SYSTEM_PROMPT) - - app = create_state_based_agent( - llm=llm, - tools=tools, - state_retriever=state_retriever, - logger=node.get_logger(), - ) - - node.set_app(app) - - executor = rclpy.executors.MultiThreadedExecutor() - executor.add_node(node) - executor.spin() + node.spin() rclpy.shutdown() -main() +if __name__ == "__main__": + main() diff --git a/poetry.lock b/poetry.lock index 7ed892792..158b2e12b 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand. [[package]] name = "absl-py" @@ -5220,6 +5220,20 @@ tomli = {version = ">=1", markers = "python_version < \"3.11\""} [package.extras] dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"] +[[package]] +name = "pytest-timeout" +version = "2.3.1" +description = "pytest plugin to abort hanging tests" +optional = false +python-versions = ">=3.7" +files = [ + {file = "pytest-timeout-2.3.1.tar.gz", hash = "sha256:12397729125c6ecbdaca01035b9e5239d4db97352320af155b3f5de1ba5165d9"}, + {file = "pytest_timeout-2.3.1-py3-none-any.whl", hash = "sha256:68188cb703edfc6a18fad98dc25a3c61e9f24d644b0b70f33af545219fc7813e"}, +] + +[package.dependencies] +pytest = ">=7.0.0" + [[package]] name = "python-dateutil" version = "2.9.0.post0" @@ -8131,4 +8145,4 @@ type = ["pytest-mypy"] [metadata] lock-version = "2.0" python-versions = "^3.10, <3.13" -content-hash = "e6b6c2e991976202012136c30b5f54149840ce7e2133580802245831e53b9356" +content-hash = "6d192cee28ff2d1e447238eff8d2833a1b2a5d4788de680165b9bb17f01c842c" diff --git a/pyproject.toml b/pyproject.toml index d6d87ef34..c922074fc 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -51,6 +51,7 @@ streamlit = "^1.37.1" deprecated = "^1.2.14" tomli = "^2.0.1" openwakeword = { git = "https://github.com/maciejmajek/openWakeWord.git", branch = "chore/remove-tflite-backend" } +pytest-timeout = "^2.3.1" [tool.poetry.group.dev.dependencies] ipykernel = "^6.29.4" diff --git a/src/rai/rai/agents/state_based.py b/src/rai/rai/agents/state_based.py index e4304c264..f168ec55d 100644 --- a/src/rai/rai/agents/state_based.py +++ b/src/rai/rai/agents/state_based.py @@ -42,20 +42,16 @@ class State(TypedDict): class Report(BaseModel): problem: str = Field(..., title="Problem", description="The problem that occurred") - solution: str = Field( - ..., title="Solution", description="The solution to the problem" - ) - outcome: str = Field( - ..., title="Outcome", description="The outcome of the solution" - ) steps: List[str] = Field( ..., title="Steps", description="The steps taken to solve the problem" ) success: bool = Field( ..., title="Success", description="Whether the problem was solved" ) - response_to_user: str = Field( - ..., title="Response", description="The response to the user" + outcome: str = Field( + ..., + title="Response", + description="Detailed outcome of the task, the response to the user", ) diff --git a/src/rai/rai/node.py b/src/rai/rai/node.py index 4cc29a641..2ce2fceab 100644 --- a/src/rai/rai/node.py +++ b/src/rai/rai/node.py @@ -15,7 +15,7 @@ import functools import time -from typing import Any, Callable, Dict, List, Literal, Optional +from typing import Any, Callable, Dict, List, Literal, Optional, Tuple, Type import rcl_interfaces.msg import rclpy @@ -24,9 +24,15 @@ import rclpy.qos import rclpy.subscription import rclpy.task +import rosidl_runtime_py.set_message +import rosidl_runtime_py.utilities import sensor_msgs.msg +from action_msgs.msg import GoalStatus +from langchain.tools import BaseTool +from langchain.tools.render import render_text_description_and_args from langchain_core.messages import HumanMessage, SystemMessage from langgraph.graph.graph import CompiledGraph +from rclpy.action.client import ActionClient from rclpy.action.graph import get_action_names_and_types from rclpy.action.server import ActionServer, GoalResponse, ServerGoalHandle from rclpy.node import Node @@ -39,14 +45,201 @@ ) from std_srvs.srv import Trigger -from rai.agents.state_based import Report, State -from rai.messages.multimodal import HumanMultimodalMessage, MultimodalMessage +from rai.agents.state_based import Report, State, create_state_based_agent +from rai.messages import HumanMultimodalMessage +from rai.tools.ros.native import Ros2BaseTool +from rai.tools.ros.native_actions import Ros2BaseActionTool from rai.tools.ros.utils import convert_ros_img_to_base64, import_message_from_str from rai.tools.utils import wait_for_message from rai.utils.model_initialization import get_llm_model from rai.utils.ros import NodeDiscovery, RosoutBuffer from rai_interfaces.action import Task as TaskAction +WHOAMI_SYSTEM_PROMPT_TEMPATE = """ + Constitution: + {constitution} + + Identity: + {identity} + + {prompt} +""" + + +def append_whoami_info_to_prompt( + node: Node, prompt: str, robot_description_package: Optional[str] = None +) -> str: + if robot_description_package is None: + node.get_logger().warning( + "Robot description package not set, using empty identity and constitution." + ) + return WHOAMI_SYSTEM_PROMPT_TEMPATE.format( + constitution="", + identity="", + prompt=prompt, + ) + + constitution_service = node.create_client( + Trigger, + "rai_whoami_constitution_service", + ) + identity_service = node.create_client(Trigger, "rai_whoami_identity_service") + + while not constitution_service.wait_for_service(timeout_sec=1.0): + node.get_logger().info("Constitution service not available, waiting again...") + + while not identity_service.wait_for_service(timeout_sec=1.0): + node.get_logger().info("Identity service not available, waiting again...") + + constitution_future = constitution_service.call_async(Trigger.Request()) + rclpy.spin_until_future_complete(node, constitution_future) + constitution_response = constitution_future.result() + constitution_message = ( + "" if constitution_response is None else constitution_response.message + ) + + identity_future = identity_service.call_async(Trigger.Request()) + rclpy.spin_until_future_complete(node, identity_future) + identity_response = identity_future.result() + identity_message = "" if identity_response is None else identity_response.message + + system_prompt = WHOAMI_SYSTEM_PROMPT_TEMPATE.format( + constitution=constitution_message, + identity=identity_message, + prompt=prompt, + ) + + node.get_logger().info(f"System prompt initialized: {system_prompt}") + return system_prompt + + +def append_tools_text_description_to_prompt(prompt: str, tools: List[BaseTool]) -> str: + if len(tools) == 0: + return prompt + + return f"""{prompt} + + Use the tooling provided to gather information about the environment: + + {render_text_description_and_args(tools)} + """ + + +def ros2_build_msg(msg_type: str, msg_args: Dict[str, Any]) -> Tuple[object, Type]: + """ + Import message and create it. Return both ready message and message class. + + msgs args can have two formats: + { "goal" : {arg 1 : xyz, ... } or {arg 1 : xyz, ... } + """ + + msg_cls: Type = rosidl_runtime_py.utilities.get_interface(msg_type) + msg = msg_cls.Goal() + + if "goal" in msg_args: + msg_args = msg_args["goal"] + rosidl_runtime_py.set_message.set_message_fields(msg, msg_args) + return msg, msg_cls + + +class RaiAsyncToolsNode(Node): + def __init__(self): + super().__init__("rai_internal_action_node") + + self.goal_handle = None + self.result_future = None + self.feedback = None + self.status = None + + def _run_action(self, action_name, action_type, action_goal_args): + if not self._is_task_complete(): + raise AssertionError( + "Another ros2 action is currently running and parallel actions are not supported. Please wait until the previous action is complete before starting a new one. You can also cancel the current one." + ) + + if action_name[0] != "/": + action_name = "/" + action_name + self.get_logger().info(f"Action name corrected to: {action_name}") + + try: + goal_msg, msg_cls = ros2_build_msg(action_type, action_goal_args) + except Exception as e: + return f"Failed to build message: {e}" + + client = ActionClient(self, msg_cls, action_name) + + retries = 0 + while not client.wait_for_server(timeout_sec=1.0): + retries += 1 + if retries > 5: + raise Exception( + f"Action server '{action_name}' is not available. Make sure `action_name` is correct..." + ) + self.get_logger().info( + f"'{action_name}' action server not available, waiting..." + ) + + self.get_logger().info(f"Sending action message: {goal_msg}") + + send_goal_future = client.send_goal_async(goal_msg, self._feedback_callback) + self.get_logger().info("Action goal sent!") + rclpy.spin_until_future_complete(self, send_goal_future) + self.goal_handle = send_goal_future.result() + + if not self.goal_handle: + raise Exception(f"Action '{action_name}' not sent to server") + + if not self.goal_handle.accepted: + raise Exception(f"Action '{action_name}' not accepted by server") + + self.result_future = self.goal_handle.get_result_async() + self.get_logger().info("Action sent!") + return f"{action_name} started successfully with args: {action_goal_args}" + + def _get_task_result(self): + if not self._is_task_complete(): + return "Task is not complete yet" + + if self.status == GoalStatus.STATUS_SUCCEEDED: + return "Succeeded" + elif self.status == GoalStatus.STATUS_ABORTED: + return "Failed" + elif self.status == GoalStatus.STATUS_CANCELED: + return "Cancelled" + else: + return "Failed" + + def _feedback_callback(self, msg): + self.get_logger().info(f"Received ros2 action feedback: {msg}") + self.action_feedback = msg + + def _is_task_complete(self): + if not self.result_future: + # task was cancelled or completed + return True + rclpy.spin_until_future_complete(self, self.result_future, timeout_sec=0.10) + if self.result_future.result(): + self.status = self.result_future.result().status + if self.status != GoalStatus.STATUS_SUCCEEDED: + self.get_logger().debug( + f"Task with failed with status code: {self.status}" + ) + return True + else: + self.get_logger().info("There is not result") + # Timed out, still processing, not complete yet + return False + + self.get_logger().info("Task succeeded!") + return True + + def _cancel_task(self): + self.get_logger().info("Canceling current task.") + if self.result_future and self.goal_handle: + future = self.goal_handle.cancel_goal_async() + rclpy.spin_until_future_complete(self, future) + return True + class RaiBaseNode(Node): def __init__( @@ -77,6 +270,16 @@ def __init__( self.state_subscribers = dict() + # ------- ROS2 actions handling ------- + self._async_tool_node = RaiAsyncToolsNode() + + def spin(self): + executor = rclpy.executors.MultiThreadedExecutor() + executor.add_node(self) + executor.add_node(self._async_tool_node) + executor.spin() + rclpy.shutdown() + def discovery(self): self.ros_discovery_info.set( self.get_topic_names_and_types(), @@ -85,7 +288,7 @@ def discovery(self): ) def get_raw_message_from_topic(self, topic: str, timeout_sec: int = 1) -> Any: - self.get_logger().debug(f"Getting msg from topic: {topic}") + self.get_logger().info(f"Getting msg from topic: {topic}") if topic in self.state_subscribers and topic in self.robot_state: self.get_logger().info("Returning cached message") return self.robot_state[topic] @@ -100,7 +303,7 @@ def get_raw_message_from_topic(self, topic: str, timeout_sec: int = 1) -> Any: ) if success: - self.get_logger().debug( + self.get_logger().info( f"Received message of type {msg_type.__class__.__name__} from topic {topic}" ) return msg @@ -124,100 +327,6 @@ def get_msg_type(self, topic: str, n_tries: int = 5) -> Any: raise KeyError(f"Topic {topic} not found") -class RaiGenericBaseNode(RaiBaseNode): - def __init__( - self, - node_name: str, - system_prompt: str, - llm, - observe_topics: Optional[List[str]] = None, - observe_postprocessors: Optional[Dict[str, Callable]] = None, - whitelist: Optional[List[str]] = None, - *args, - **kwargs, - ): - super().__init__(node_name=node_name, whitelist=whitelist, *args, **kwargs) - self.llm = llm - - self.robot_state = dict() - self.state_topics = observe_topics if observe_topics is not None else [] - self.state_postprocessors = ( - observe_postprocessors if observe_postprocessors is not None else dict() - ) - - self.constitution_service = self.create_client( - Trigger, - "rai_whoami_constitution_service", - ) - self.identity_service = self.create_client( - Trigger, "rai_whoami_identity_service" - ) - - self.callback_group = rclpy.callback_groups.MutuallyExclusiveCallbackGroup() - - self.initialize_robot_state_interfaces(self.state_topics) - - self.system_prompt = self.initialize_system_prompt(system_prompt) - - def initialize_system_prompt(self, prompt: str): - while not self.constitution_service.wait_for_service(timeout_sec=1.0): - self.get_logger().info( - "Constitution service not available, waiting again..." - ) - - while not self.identity_service.wait_for_service(timeout_sec=1.0): - self.get_logger().info("Identity service not available, waiting again...") - - constitution_request = Trigger.Request() - - constitution_future = self.constitution_service.call_async(constitution_request) - rclpy.spin_until_future_complete(self, constitution_future) - constitution_response = constitution_future.result() - - identity_request = Trigger.Request() - - identity_future = self.identity_service.call_async(identity_request) - rclpy.spin_until_future_complete(self, identity_future) - identity_response = identity_future.result() - - system_prompt = f""" - Constitution: - {constitution_response.message} - - Identity: - {identity_response.message} - - {prompt} - """ - - self.get_logger().debug(f"System prompt initialized: {system_prompt}") - return system_prompt - - def generic_state_subscriber_callback(self, topic_name: str, msg: Any): - self.get_logger().debug( - f"Received message of type {type(msg)} from topic {topic_name}" - ) - self.robot_state[topic_name] = msg - - def initialize_robot_state_interfaces(self, topics): - self.rosout_buffer = RosoutBuffer(self.llm) - - for topic in topics: - msg_type = self.get_msg_type(topic) - topic_callback = functools.partial( - self.generic_state_subscriber_callback, topic - ) - subscriber = self.create_subscription( - msg_type, - topic, - callback=topic_callback, - callback_group=self.callback_group, - qos_profile=self.qos_profile, - ) - - self.state_subscribers[topic] = subscriber - - def parse_task_goal(ros_action_goal: TaskAction.Goal) -> Dict[str, Any]: return dict( task=ros_action_goal.task, @@ -226,29 +335,28 @@ def parse_task_goal(ros_action_goal: TaskAction.Goal) -> Dict[str, Any]: ) -class RaiNode(RaiGenericBaseNode): +class RaiStateBasedLlmNode(RaiBaseNode): + AGENT_RECURSION_LIMIT = 500 + def __init__( self, system_prompt: str, - llm, observe_topics: Optional[List[str]] = None, observe_postprocessors: Optional[Dict[str, Callable]] = None, whitelist: Optional[List[str]] = None, + tools: Optional[List[Type[BaseTool]]] = None, *args, **kwargs, ): super().__init__( - "rai_node", - llm=llm, - system_prompt=system_prompt, - observe_topics=observe_topics, - observe_postprocessors=observe_postprocessors, + node_name="rai_node", whitelist=whitelist, *args, **kwargs, ) # ---------- ROS configuration ---------- + self.callback_group = rclpy.callback_groups.ReentrantCallbackGroup() self.rosout_sub = self.create_subscription( rcl_interfaces.msg.Log, "/rosout", @@ -257,6 +365,20 @@ def __init__( qos_profile=self.qos_profile, ) + # ---------- Robot State ---------- + self.robot_state = dict() + self.state_topics = observe_topics if observe_topics is not None else [] + self.state_postprocessors = ( + observe_postprocessors if observe_postprocessors is not None else dict() + ) + self._initialize_robot_state_interfaces(self.state_topics) + self.state_update_timer = self.create_timer( + 7.0, + self.state_update_callback, + callback_group=rclpy.callback_groups.MutuallyExclusiveCallbackGroup(), + ) + self.state_dict = dict() + # ---------- Task Queue ---------- self.task_action_server = ActionServer( self, @@ -269,12 +391,64 @@ def __init__( self.busy = False # ---------- LLM Agents ---------- - self.AGENT_RECURSION_LIMIT = 100 - self.llm_app: CompiledGraph = None + self.tools = self._initialize_tools(tools) if tools is not None else [] + self.system_prompt = self._initialize_system_prompt(system_prompt) + self.llm_app: CompiledGraph = create_state_based_agent( + llm=get_llm_model(model_type="complex_model"), + tools=self.tools, + state_retriever=self.get_robot_state, + logger=self.get_logger(), + ) + + def _initialize_tools(self, tools: List[Type[BaseTool]]): + initialized_tools = list() + for tool_cls in tools: + if issubclass(tool_cls, Ros2BaseTool): + if ( + issubclass(tool_cls, Ros2BaseActionTool) + or "DetectionTool" in tool_cls.__name__ + or "GetDistance" in tool_cls.__name__ + or "GetTransformTool" in tool_cls.__name__ + ): # TODO(boczekbartek): develop a way to handle all mutially + tool = tool_cls(node=self._async_tool_node) + else: + tool = tool_cls(node=self) + else: + tool = tool_cls() + + initialized_tools.append(tool) + return initialized_tools + + def _initialize_system_prompt(self, prompt: str): + system_prompt = append_whoami_info_to_prompt(self, prompt) + system_prompt = append_tools_text_description_to_prompt( + system_prompt, self.tools + ) + return system_prompt + + def _initialize_robot_state_interfaces(self, topics): + self.rosout_buffer = RosoutBuffer(get_llm_model(model_type="simple_model")) + + for topic in topics: + msg_type = self.get_msg_type(topic) + topic_callback = functools.partial( + self.generic_state_subscriber_callback, topic + ) + subscriber = self.create_subscription( + msg_type, + topic, + callback=topic_callback, + callback_group=self.callback_group, + qos_profile=self.qos_profile, + ) - # self.task_queue = Queue() - # self.agent_loop_thread = Thread(target=self.agent_loop) - # self.agent_loop_thread.start() + self.state_subscribers[topic] = subscriber + + def generic_state_subscriber_callback(self, topic_name: str, msg: Any): + self.get_logger().debug( + f"Received message of type {type(msg)} from topic {topic_name}" + ) + self.robot_state[topic_name] = msg def goal_callback(self, _) -> GoalResponse: """Accept or reject a client request to begin an action.""" @@ -293,8 +467,13 @@ async def agent_loop(self, goal_handle: ServerGoalHandle): self.get_logger().info(f"Received task: {task}") # ---- LLM Task Handling ---- + self.get_logger().info(f'This is system prompt: "{self.system_prompt}"') + messages = [ SystemMessage(content=self.system_prompt), + HumanMessage( + content=f"Robot intefaces: {self.ros_discovery_info.dict()}" + ), HumanMessage(content=f"Task: {task}"), ] @@ -312,7 +491,7 @@ async def agent_loop(self, goal_handle: ServerGoalHandle): msg = state[graph_node_name]["messages"][-1] - if isinstance(msg, MultimodalMessage): + if isinstance(msg, HumanMultimodalMessage): last_msg = msg.text else: last_msg = msg.content @@ -345,7 +524,7 @@ async def agent_loop(self, goal_handle: ServerGoalHandle): result = TaskAction.Result() result.success = report.success - result.report = report.response_to_user + result.report = report.outcome self.get_logger().info(f"Finished task:\n{result}") self.clear_state() @@ -354,10 +533,7 @@ async def agent_loop(self, goal_handle: ServerGoalHandle): finally: self.busy = False - def set_app(self, app: CompiledGraph): - self.llm_app = app - - def get_robot_state(self) -> Dict[str, str]: + def state_update_callback(self): state_dict = dict() if self.robot_state is None: @@ -368,19 +544,23 @@ def get_robot_state(self) -> Dict[str, str]: msg = "No message yet" state_dict[t] = msg continue + ts = time.perf_counter() msg = self.robot_state[t] if t in self.state_postprocessors: msg = self.state_postprocessors[t](msg) + te = time.perf_counter() - ts + self.get_logger().info(f"Topic '{t}' postprocessed in: {te:.2f}") state_dict[t] = msg - state_dict.update( - { - "robot_interfaces": self.ros_discovery_info.dict(), - } - ) + ts = time.perf_counter() state_dict["logs_summary"] = self.rosout_buffer.summarize() + te = time.perf_counter() - ts + self.get_logger().info(f"Logs summary retrieved in: {te:.2f}") self.get_logger().info(f"{state_dict=}") - return state_dict + self.state_dict = state_dict + + def get_robot_state(self) -> Dict[str, str]: + return self.state_dict def clear_state(self): self.rosout_buffer.clear() diff --git a/src/rai/rai/tools/ros/native_actions.py b/src/rai/rai/tools/ros/native_actions.py index c02a82c45..94947b450 100644 --- a/src/rai/rai/tools/ros/native_actions.py +++ b/src/rai/rai/tools/ros/native_actions.py @@ -19,9 +19,11 @@ import rosidl_runtime_py.utilities from action_msgs.msg import GoalStatus from pydantic import BaseModel, Field -from rclpy.action import ActionClient +from rclpy.action.client import ActionClient +from rosidl_runtime_py import message_to_ordereddict -from .native import Ros2BaseTool +from .native import Ros2BaseInput, Ros2BaseTool +from .utils import get_transform # --------------------- Inputs --------------------- @@ -53,6 +55,10 @@ def _run(self): return self.node.ros_discovery_info.actions_and_types +class Ros2BaseActionTool(Ros2BaseTool): + pass + + class Ros2RunActionSync(Ros2BaseTool): name: str = "Ros2RunAction" description: str = ( @@ -126,41 +132,66 @@ def _run( return res -class Ros2GetRegisteredActions(Ros2BaseTool): - name: str = "Ros2GetRegisteredAction" - description: str = "A tool for checking the results of submitted ros2 actions" +class Ros2RunActionAsync(Ros2BaseActionTool): + name: str = "Ros2RunAction" + description: str = """A tool for running a ros2 action. + Always check action interface before setting action_goal_args.""" - def _run(self): - return str(self.node.get_running_actions()) + args_schema: Type[Ros2ActionRunnerInput] = Ros2ActionRunnerInput + + def _run( + self, action_name: str, action_type: str, action_goal_args: Dict[str, Any] + ): + return self.node._run_action(action_name, action_type, action_goal_args) + + +class Ros2IsActionComplete(Ros2BaseActionTool): + name: str = "Ros2IsActionComplete" + description: str = "A tool for checking if submitted ros2 actions is complete" + + args_schema: Type[Ros2BaseInput] = Ros2BaseInput + def _run(self) -> bool: + return self.node._is_task_complete() -class Ros2CheckActionResults(Ros2BaseTool): - name: str = "Ros2CheckActionResults" - description: str = "A tool for checking the results of submitted ros2 actions" - args_schema: Type[OptionalActionUidInput] = OptionalActionUidInput +class Ros2GetActionResult(Ros2BaseActionTool): + name: str = "Ros2GetActionResult" + description: str = "A tool for checking the result of submitted ros2 action" - def _run(self, uid: Optional[str] = None): - return str(self.node.get_results(uid)) + args_schema: Type[Ros2BaseInput] = Ros2BaseInput + def _run(self) -> bool: + return self.node._get_task_result() -class Ros2CancelAction(Ros2BaseTool): + +class Ros2CancelAction(Ros2BaseActionTool): name: str = "Ros2CancelAction" description: str = "Cancel submitted action" - args_schema: Type[ActionUidInput] = ActionUidInput + args_schema: Type[Ros2BaseInput] = Ros2BaseInput - def _run(self, uid: str): - return str(self.node.cancel_action(uid)) + def _run(self) -> bool: + return self.node._cancel_task() -class Ros2ListActionFeedbacks(Ros2BaseTool): - name: str = "Ros2ListActionFeedbacks" +class Ros2GetLastActionFeedback(Ros2BaseActionTool): + name: str = "Ros2GetLastActionFeedback" description: str = ( - "List intermediate feedbacks received during ros2 action. Feedbacks are sent before the action is completed." + "Action feedback is an optional intermediate information from ros2 action. With this tool you can get the last feedback of running action." ) - args_schema: Type[OptionalActionUidInput] = OptionalActionUidInput + args_schema: Type[Ros2BaseInput] = Ros2BaseInput + + def _run(self) -> str: + return str(self.node.action_feedback) + + +class GetTransformTool(Ros2BaseActionTool): + name: str = "GetTransform" + description: str = "Get transform between two frames" - def _run(self, uid: Optional[str] = None): - return str(self.node.get_feedbacks(uid)) + def _run(self, target_frame="map", source_frame="body_link") -> dict: + return message_to_ordereddict( + get_transform(self.node, target_frame, source_frame) + ) diff --git a/src/rai/rai/tools/ros/tools.py b/src/rai/rai/tools/ros/tools.py index f4632eeb7..9344362a7 100644 --- a/src/rai/rai/tools/ros/tools.py +++ b/src/rai/rai/tools/ros/tools.py @@ -240,7 +240,7 @@ class GetCurrentPositionToolInput(BaseModel): class GetCurrentPositionTool(BaseTool): - """Get the current position of the robot.""" + """Get the current position and rotation of the robot.""" name: str = "GetCurrentPositionTool" description: str = "A tool for getting the current position of the robot." diff --git a/src/rai/rai/tools/ros/utils.py b/src/rai/rai/tools/ros/utils.py index 4b334b4b5..72107533e 100644 --- a/src/rai/rai/tools/ros/utils.py +++ b/src/rai/rai/tools/ros/utils.py @@ -18,6 +18,9 @@ import cv2 import numpy as np +import rclpy +import rclpy.node +import rclpy.time import sensor_msgs.msg from cv_bridge import CvBridge from rclpy.impl.implementation_singleton import rclpy_implementation as _rclpy @@ -28,6 +31,7 @@ from rosidl_parser.definition import NamespacedType from rosidl_runtime_py.import_message import import_message_from_namespaced_type from rosidl_runtime_py.utilities import get_namespaced_type +from tf2_ros import Buffer, TransformListener, TransformStamped def import_message_from_str(msg_type: str) -> Type[object]: @@ -148,3 +152,20 @@ def wait_for_message( node.destroy_subscription(sub) return False, None + + +def get_transform( + node: rclpy.node.Node, target_frame: str, source_frame: str +) -> TransformStamped: + tf_buffer = Buffer(node=node) + tf_listener = TransformListener(tf_buffer, node) + + transform = None + while transform is None: + rclpy.spin_once(node) + if tf_buffer.can_transform(target_frame, source_frame, rclpy.time.Time()): + transform = tf_buffer.lookup_transform( + target_frame, source_frame, rclpy.time.Time() + ) + tf_listener.unregister() + return transform diff --git a/src/rai/rai/tools/time.py b/src/rai/rai/tools/time.py index e288fe926..c75ee0aed 100644 --- a/src/rai/rai/tools/time.py +++ b/src/rai/rai/tools/time.py @@ -34,14 +34,14 @@ class WaitForSecondsTool(BaseTool): "A tool for waiting. " "Useful for pausing execution for a specified number of seconds. " "Input should be the number of seconds to wait." - "Maximum allowed time is 5 seconds" + "Maximum allowed time is 10 seconds" ) args_schema: Type[WaitForSecondsToolInput] = WaitForSecondsToolInput def _run(self, seconds: int): """Waits for the specified number of seconds.""" - if seconds > 5: - seconds = 5 + if seconds > 10: + seconds = 10 time.sleep(seconds) return f"Waited for {seconds} seconds." diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/gdino_tools.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/gdino_tools.py index 9ba5d8242..0415cfb64 100644 --- a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/gdino_tools.py +++ b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/gdino_tools.py @@ -16,18 +16,20 @@ import numpy as np import rclpy +import rclpy.qos import sensor_msgs.msg from pydantic import BaseModel, Field from rai_open_set_vision import GDINO_SERVICE_NAME -from rclpy import Future from rclpy.exceptions import ( ParameterNotDeclaredException, ParameterUninitializedException, ) +from rclpy.task import Future -from rai.node import RaiBaseNode +from rai.node import RaiAsyncToolsNode from rai.tools.ros import Ros2BaseInput, Ros2BaseTool from rai.tools.ros.utils import convert_ros_img_to_ndarray +from rai.tools.utils import wait_for_message from rai_interfaces.srv import RAIGroundingDino @@ -79,7 +81,7 @@ class DistanceMeasurement(NamedTuple): # --------------------- Tools --------------------- class GroundingDinoBaseTool(Ros2BaseTool): - node: RaiBaseNode = Field(..., exclude=True, required=True) + node: RaiAsyncToolsNode = Field(..., exclude=True, required=True) box_threshold: float = Field(default=0.35, description="Box threshold for GDINO") text_threshold: float = Field(default=0.45, description="Text threshold for GDINO") @@ -113,8 +115,25 @@ def _call_gdino_node( future = cli.call_async(req) return future + def get_img_from_topic(self, topic: str, timeout_sec: int = 2): + success, msg = wait_for_message( + sensor_msgs.msg.Image, + self.node, + topic, + qos_profile=rclpy.qos.qos_profile_sensor_data, + time_to_wait=timeout_sec, + ) + + if success: + self.node.get_logger().info(f"Received message of type from topic {topic}") + return msg + else: + error = f"No message received in {timeout_sec} seconds from topic {topic}" + self.node.get_logger().error(error) + return error + def _get_image_message(self, topic: str) -> sensor_msgs.msg.Image: - msg = self.node.get_raw_message_from_topic(topic) + msg = self.get_img_from_topic(topic) if type(msg) is sensor_msgs.msg.Image: return msg else: diff --git a/src/rai_hmi/rai_hmi/base.py b/src/rai_hmi/rai_hmi/base.py index 54ba534cc..6b8983ae7 100644 --- a/src/rai_hmi/rai_hmi/base.py +++ b/src/rai_hmi/rai_hmi/base.py @@ -17,7 +17,6 @@ from queue import Queue from typing import List, Optional, Tuple, cast -import rclpy from ament_index_python.packages import get_package_share_directory from langchain_community.vectorstores import FAISS from langchain_core.documents import Document @@ -28,6 +27,7 @@ from std_msgs.msg import String from std_srvs.srv import Trigger +from rai.node import append_whoami_info_to_prompt from rai.utils.model_initialization import get_embeddings_model from rai_hmi.chat_msgs import ( MissionAcceptanceMessage, @@ -38,23 +38,6 @@ from rai_hmi.tools import QueryDatabaseTool, QueueTaskTool from rai_interfaces.action import Task as TaskAction -SYSTEM_PROMPT = """ -Constitution: -{constitution} - -Identity: -{identity} - -You are a helpful assistant. You converse with users. -Assume the conversation is carried over a voice interface, so try not to overwhelm the user. -If you have multiple questions, please ask them one by one allowing user to respond before -moving forward to the next question. Keep the conversation short and to the point. -If you are requested tasks that you are capable of perfoming as a robot, not as a -conversational agent, please use tools to submit them to the task queue. -They will be done by another agent resposible for communication with the robotic's -stack. -""" - class HMIStatus(Enum): WAITING = "waiting" @@ -84,6 +67,16 @@ class BaseHMINode(Node): _load_documentation: Loads the FAISS index from the robot description package. """ + SYSTEM_PROMPT = """You are a helpful assistant. You converse with users. + Assume the conversation is carried over a voice interface, so try not to overwhelm the user. + If you have multiple questions, please ask them one by one allowing user to respond before + moving forward to the next question. Keep the conversation short and to the point. + If you are requested tasks that you are capable of perfoming as a robot, not as a + conversational agent, please use tools to submit them to the task queue. + They will be done by another agent resposible for communication with the robotic's + stack. + """ + def __init__( self, node_name: str, @@ -157,44 +150,12 @@ def query_faiss_index_with_scores( return output def _initialize_system_prompt(self): - if self.robot_description_package == "": - self.get_logger().warning( - "Robot description package not set, using empty identity and constitution." - ) - return SYSTEM_PROMPT.format( - constitution="", - identity="", - ) - while not self.constitution_service.wait_for_service(timeout_sec=1.0): - self.get_logger().info( - "Constitution service of rai_whoami not available, waiting..." - ) - - while not self.identity_service.wait_for_service(timeout_sec=1.0): - self.get_logger().info( - "Identity service of rai_whoami not available, waiting..." - ) - - constitution_request = Trigger.Request() - - constitution_future = self.constitution_service.call_async(constitution_request) - rclpy.spin_until_future_complete(self, constitution_future) - constitution_response = constitution_future.result() - - identity_request = Trigger.Request() - - identity_future = self.identity_service.call_async(identity_request) - rclpy.spin_until_future_complete(self, identity_future) - identity_response = identity_future.result() - - system_prompt = SYSTEM_PROMPT.format( - constitution=constitution_response.message, - identity=identity_response.message, + return append_whoami_info_to_prompt( + self, + self.SYSTEM_PROMPT, + robot_description_package=self.robot_description_package, ) - self.get_logger().info("System prompt initialized!") - return system_prompt - def _load_documentation(self) -> Optional[FAISS]: try: faiss_index = FAISS.load_local( From 0c06a450fb8c0463dbe198a3ae1378b790604714 Mon Sep 17 00:00:00 2001 From: Bartek Boczek <22739059+boczekbartek@users.noreply.github.com> Date: Thu, 17 Oct 2024 14:55:39 +0200 Subject: [PATCH 66/84] bb/refactor/text hmi wide remove legacy (#278) --- src/rai/rai/node.py | 7 ++++--- src/rai_hmi/rai_hmi/base.py | 4 +++- src/rai_hmi/rai_hmi/chat_msgs.py | 2 +- src/rai_hmi/rai_hmi/text_hmi.py | 31 ++----------------------------- 4 files changed, 10 insertions(+), 34 deletions(-) diff --git a/src/rai/rai/node.py b/src/rai/rai/node.py index 2ce2fceab..7d0208a00 100644 --- a/src/rai/rai/node.py +++ b/src/rai/rai/node.py @@ -496,10 +496,11 @@ async def agent_loop(self, goal_handle: ServerGoalHandle): else: last_msg = msg.content - feedback_msg = TaskAction.Feedback() - feedback_msg.current_status = f"{graph_node_name}: {last_msg}" + if len(str(last_msg)) > 0 and "Retrieved state: {}" not in last_msg: + feedback_msg = TaskAction.Feedback() + feedback_msg.current_status = f"{graph_node_name}: {last_msg}" - goal_handle.publish_feedback(feedback_msg) + goal_handle.publish_feedback(feedback_msg) # ---- Share Action Result ---- if state is None: diff --git a/src/rai_hmi/rai_hmi/base.py b/src/rai_hmi/rai_hmi/base.py index 6b8983ae7..6bcffb421 100644 --- a/src/rai_hmi/rai_hmi/base.py +++ b/src/rai_hmi/rai_hmi/base.py @@ -72,7 +72,9 @@ class BaseHMINode(Node): If you have multiple questions, please ask them one by one allowing user to respond before moving forward to the next question. Keep the conversation short and to the point. If you are requested tasks that you are capable of perfoming as a robot, not as a - conversational agent, please use tools to submit them to the task queue. + conversational agent, please use tools to submit them to the task queue - only 1 + task in parallel is supported. For more complicated tasks, don't split them, just + add as 1 task. They will be done by another agent resposible for communication with the robotic's stack. """ diff --git a/src/rai_hmi/rai_hmi/chat_msgs.py b/src/rai_hmi/rai_hmi/chat_msgs.py index 59eb57e16..2a2c78fa0 100644 --- a/src/rai_hmi/rai_hmi/chat_msgs.py +++ b/src/rai_hmi/rai_hmi/chat_msgs.py @@ -69,4 +69,4 @@ def __init__(self, uid: UUID4, result: Task.Result): def __repr__(self): repr = super().__repr__() - return f"{repr}. Success={self.success}\nReport={self.report}" + return f"{repr}. Success={self.success}" diff --git a/src/rai_hmi/rai_hmi/text_hmi.py b/src/rai_hmi/rai_hmi/text_hmi.py index 3be57a6cf..cecdfd795 100644 --- a/src/rai_hmi/rai_hmi/text_hmi.py +++ b/src/rai_hmi/rai_hmi/text_hmi.py @@ -49,7 +49,7 @@ ) logger = logging.getLogger(__name__) -st.set_page_config(page_title="LangChain Chat App", page_icon="๐Ÿฆœ") +st.set_page_config(page_title="LangChain Chat App", page_icon="๐Ÿฆœ", layout="wide") MODEL = "gpt-4o" MAX_DISPLAY = 5 @@ -154,10 +154,7 @@ class SystemStatus(BaseModel): class Layout: """App has two columns: chat + robot state""" - def __init__( - self, robot_description_package, max_display: int = MAX_DISPLAY - ) -> None: - self.max_display = max_display + def __init__(self, robot_description_package) -> None: if robot_description_package: st.title(f"{robot_description_package.replace('_whoami', '')} chat app") else: @@ -224,26 +221,6 @@ def display(message, no_expand=False): for message in history: display(message) - # show, hide = self.__split_history(history, self.max_display) - - # TODO(boczekbartek): fix exapndes - # error: streamlit.errors.StreamlitAPIException: Expanders may not be nested inside other expanders. - # with st.expander("Untoggle to see full chat history"): - # for message in hide: - # display(message) - # - # for message in show: - # display(message) - - @staticmethod - def __split_history(history, max_display): - n_messages = len(history) - if n_messages > max_display: - n_hide = n_messages - max_display - return history[:max_display], history[-n_hide:] - else: - return history, [] - class Chat: def __init__(self, memory: Memory, layout: Layout) -> None: @@ -344,10 +321,6 @@ def recreate_from_memory(self): """ Recreates the page from the memory. It is because Streamlit reloads entire page every widget action. See: https://docs.streamlit.io/get-started/fundamentals/main-concepts - - Args: - max_display (int, optional): Max number of messages to display. Rest will be hidden in a toggle. Defaults to 5. - """ self.layout.show_chat(self.memory.chat_memory, self.memory.tool_calls) self.layout.show_mission(self.memory.mission_memory, self.memory.tool_calls) From 7b789bb973b47eb19adc4ab38efb4071dda18f86 Mon Sep 17 00:00:00 2001 From: Maciej Majek <46171033+maciejmajek@users.noreply.github.com> Date: Fri, 18 Oct 2024 11:29:01 +0200 Subject: [PATCH 67/84] chore: reduce verbosity & feat: enhance typing (#282) --- src/rai/rai/node.py | 50 ++++++++++++++++++++++++++++++--------------- 1 file changed, 34 insertions(+), 16 deletions(-) diff --git a/src/rai/rai/node.py b/src/rai/rai/node.py index 7d0208a00..b6acbd8ea 100644 --- a/src/rai/rai/node.py +++ b/src/rai/rai/node.py @@ -30,7 +30,7 @@ from action_msgs.msg import GoalStatus from langchain.tools import BaseTool from langchain.tools.render import render_text_description_and_args -from langchain_core.messages import HumanMessage, SystemMessage +from langchain_core.messages import BaseMessage, HumanMessage, SystemMessage from langgraph.graph.graph import CompiledGraph from rclpy.action.client import ActionClient from rclpy.action.graph import get_action_names_and_types @@ -226,7 +226,7 @@ def _is_task_complete(self): ) return True else: - self.get_logger().info("There is not result") + self.get_logger().info("There is no result") # Timed out, still processing, not complete yet return False @@ -250,7 +250,7 @@ def __init__( ): super().__init__(*args, **kwargs) - self.robot_state = dict() + self.robot_state: Dict[str, Any] = dict() # where Any is ROS 2 message type self.DISCOVERY_FREQ = 2.0 self.DISCOVERY_DEPTH = 5 @@ -288,9 +288,9 @@ def discovery(self): ) def get_raw_message_from_topic(self, topic: str, timeout_sec: int = 1) -> Any: - self.get_logger().info(f"Getting msg from topic: {topic}") + self.get_logger().debug(f"Getting msg from topic: {topic}") if topic in self.state_subscribers and topic in self.robot_state: - self.get_logger().info("Returning cached message") + self.get_logger().debug("Returning cached message") return self.robot_state[topic] else: msg_type = self.get_msg_type(topic) @@ -303,7 +303,7 @@ def get_raw_message_from_topic(self, topic: str, timeout_sec: int = 1) -> Any: ) if success: - self.get_logger().info( + self.get_logger().debug( f"Received message of type {msg_type.__class__.__name__} from topic {topic}" ) return msg @@ -342,7 +342,7 @@ def __init__( self, system_prompt: str, observe_topics: Optional[List[str]] = None, - observe_postprocessors: Optional[Dict[str, Callable]] = None, + observe_postprocessors: Optional[Dict[str, Callable[[Any], Any]]] = None, whitelist: Optional[List[str]] = None, tools: Optional[List[Type[BaseTool]]] = None, *args, @@ -399,9 +399,10 @@ def __init__( state_retriever=self.get_robot_state, logger=self.get_logger(), ) + self.simple_llm = get_llm_model(model_type="simple_model") def _initialize_tools(self, tools: List[Type[BaseTool]]): - initialized_tools = list() + initialized_tools: List[BaseTool] = list() for tool_cls in tools: if issubclass(tool_cls, Ros2BaseTool): if ( @@ -426,7 +427,7 @@ def _initialize_system_prompt(self, prompt: str): ) return system_prompt - def _initialize_robot_state_interfaces(self, topics): + def _initialize_robot_state_interfaces(self, topics: List[str]): self.rosout_buffer = RosoutBuffer(get_llm_model(model_type="simple_model")) for topic in topics: @@ -467,7 +468,7 @@ async def agent_loop(self, goal_handle: ServerGoalHandle): self.get_logger().info(f"Received task: {task}") # ---- LLM Task Handling ---- - self.get_logger().info(f'This is system prompt: "{self.system_prompt}"') + self.get_logger().debug(f'This is system prompt: "{self.system_prompt}"') messages = [ SystemMessage(content=self.system_prompt), @@ -484,19 +485,37 @@ async def agent_loop(self, goal_handle: ServerGoalHandle): payload, {"recursion_limit": self.AGENT_RECURSION_LIMIT} ): - print(state.keys()) graph_node_name = list(state.keys())[0] if graph_node_name == "reporter": continue msg = state[graph_node_name]["messages"][-1] - if isinstance(msg, HumanMultimodalMessage): last_msg = msg.text + elif isinstance(msg, BaseMessage): + if isinstance(msg.content, list): + assert len(msg.content) == 1 + last_msg = msg.content[0].get("text", "") + else: + last_msg = msg.content else: - last_msg = msg.content - - if len(str(last_msg)) > 0 and "Retrieved state: {}" not in last_msg: + raise ValueError(f"Unexpected type of message: {type(msg)}") + + # TODO: Find a better way to create meaninful feedback + last_msg = self.simple_llm.invoke( + [ + SystemMessage( + content=( + "You are an experienced reporter deployed on a autonomous robot. " # type: ignore + "Your task is to summarize the message in a way that is easy for other agents to understand. " + "Do not use markdown formatting. Keep it short and concise. If the message is empty, please return empty string." + ) + ), + HumanMessage(content=last_msg), + ] + ).content + + if len(str(last_msg)) > 0 and graph_node_name != "state_retriever": feedback_msg = TaskAction.Feedback() feedback_msg.current_status = f"{graph_node_name}: {last_msg}" @@ -505,7 +524,6 @@ async def agent_loop(self, goal_handle: ServerGoalHandle): # ---- Share Action Result ---- if state is None: raise ValueError("No output from LLM") - print(state) graph_node_name = list(state.keys())[0] if graph_node_name != "reporter": From 910e1dfc9e0517fcf9d0a976ed31eba957a6d968 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Bart=C5=82omiej=20Boczek?= Date: Fri, 18 Oct 2024 09:27:40 +0200 Subject: [PATCH 68/84] fix(`text_hmi`): remove repeated tool --- src/rai_hmi/rai_hmi/base.py | 3 +-- src/rai_hmi/rai_hmi/tools.py | 20 -------------------- 2 files changed, 1 insertion(+), 22 deletions(-) diff --git a/src/rai_hmi/rai_hmi/base.py b/src/rai_hmi/rai_hmi/base.py index 6bcffb421..9e0fb81da 100644 --- a/src/rai_hmi/rai_hmi/base.py +++ b/src/rai_hmi/rai_hmi/base.py @@ -35,7 +35,7 @@ MissionFeedbackMessage, ) from rai_hmi.task import Task -from rai_hmi.tools import QueryDatabaseTool, QueueTaskTool +from rai_hmi.tools import QueryDatabaseTool from rai_interfaces.action import Task as TaskAction @@ -138,7 +138,6 @@ def _initialize_available_tools(self): tools.append( QueryDatabaseTool(get_response=self.query_faiss_index_with_scores) ) - tools.append(QueueTaskTool(add_task=self.add_task_to_queue)) return tools def status_callback(self): diff --git a/src/rai_hmi/rai_hmi/tools.py b/src/rai_hmi/rai_hmi/tools.py index 55ff7d5c5..cdd4fd797 100644 --- a/src/rai_hmi/rai_hmi/tools.py +++ b/src/rai_hmi/rai_hmi/tools.py @@ -18,8 +18,6 @@ from langchain_core.tools import BaseTool from pydantic import BaseModel, Field -from .task import Task - class QueryDatabaseInput(BaseModel): query: str = Field( @@ -42,21 +40,3 @@ class QueryDatabaseTool(BaseTool): def _run(self, query: str): retrieval_response = self.get_response(query) return str(retrieval_response) - - -class QueueTaskInput(BaseModel): - task: Task = Field(..., description="The task to queue") - - -class QueueTaskTool(BaseTool): - name: str = "queue_task" - description: str = "Queue a task for the platform" - input_type: Type[QueueTaskInput] = QueueTaskInput - - args_schema: Type[QueueTaskInput] = QueueTaskInput - - add_task: Any - - def _run(self, task: Task): - self.add_task(task) - return f"Task {task} has been queued for the LLM" From b1c2fbaf47e46914b6d1a8308a5d7b394352d4d3 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Bart=C5=82omiej=20Boczek?= Date: Fri, 18 Oct 2024 09:56:14 +0200 Subject: [PATCH 69/84] change "task_queue" to "submit_mission" --- src/rai_hmi/rai_hmi/agent.py | 10 +++++----- src/rai_hmi/rai_hmi/base.py | 4 ++-- 2 files changed, 7 insertions(+), 7 deletions(-) diff --git a/src/rai_hmi/rai_hmi/agent.py b/src/rai_hmi/rai_hmi/agent.py index 08634508d..a74e907b9 100644 --- a/src/rai_hmi/rai_hmi/agent.py +++ b/src/rai_hmi/rai_hmi/agent.py @@ -33,15 +33,15 @@ def initialize_agent(hmi_node: BaseHMINode, rai_node: RaiBaseNode, memory: Memor @tool def get_mission_memory(uid: str) -> List[MissionMessage]: - """List mission memory. Mission uid is required.""" + """List mission memory. It contains the information about running tasks. Mission uid is required.""" return memory.get_mission_memory(uid) @tool - def add_task_to_queue(task: TaskInput): - """Use this tool to add a task to the queue. The task will be handled by the executor part of your system.""" + def submit_mission_to_the_robot(task: TaskInput): + """Use this tool submit the task to the robot. The task will be handled by the executor part of your system.""" uid = uuid.uuid4() - hmi_node.add_task_to_queue( + hmi_node.execute_mission( Task( name=task.name, description=task.description, @@ -55,7 +55,7 @@ def add_task_to_queue(task: TaskInput): Ros2GetRobotInterfaces(node=rai_node), GetCameraImage(node=rai_node), ] - task_tools = [add_task_to_queue, get_mission_memory] + task_tools = [submit_mission_to_the_robot, get_mission_memory] tools = hmi_node.tools + node_tools + task_tools agent = create_conversational_agent( diff --git a/src/rai_hmi/rai_hmi/base.py b/src/rai_hmi/rai_hmi/base.py index 9e0fb81da..d64c9067b 100644 --- a/src/rai_hmi/rai_hmi/base.py +++ b/src/rai_hmi/rai_hmi/base.py @@ -72,7 +72,7 @@ class BaseHMINode(Node): If you have multiple questions, please ask them one by one allowing user to respond before moving forward to the next question. Keep the conversation short and to the point. If you are requested tasks that you are capable of perfoming as a robot, not as a - conversational agent, please use tools to submit them to the task queue - only 1 + conversational agent, please use tools to submit them to the robot - only 1 task in parallel is supported. For more complicated tasks, don't split them, just add as 1 task. They will be done by another agent resposible for communication with the robotic's @@ -182,7 +182,7 @@ def initialize_task_action_client_and_server(self): # self, TaskFeedback, "provide_task_feedback", self.handle_task_feedback # ) - def add_task_to_queue(self, task: Task): + def execute_mission(self, task: Task): """Sends a task to the action server to be handled by the rai node.""" if not self.task_action_client.wait_for_server(timeout_sec=10.0): From 0333ea219842eeb98d3c41000a8f0b97c37712b0 Mon Sep 17 00:00:00 2001 From: Maciej Majek <46171033+maciejmajek@users.noreply.github.com> Date: Fri, 18 Oct 2024 18:32:08 +0200 Subject: [PATCH 70/84] refactor: manipulation toolset (#280) --- src/rai/rai/tools/ros/manipulation.py | 15 ++++++------- .../tools/segmentation_tools.py | 22 ++++++++++++++----- 2 files changed, 23 insertions(+), 14 deletions(-) diff --git a/src/rai/rai/tools/ros/manipulation.py b/src/rai/rai/tools/ros/manipulation.py index a5aaec5ef..ef4ca57a3 100644 --- a/src/rai/rai/tools/ros/manipulation.py +++ b/src/rai/rai/tools/ros/manipulation.py @@ -55,9 +55,7 @@ class MoveToPointTool(BaseTool): node: Node client: Client - manipulator_frame: str = Field( - default="panda_link0", description="Manipulator frame" - ) + manipulator_frame: str = Field(..., description="Manipulator frame") min_z: float = Field(default=0.135, description="Minimum z coordinate [m]") calibration_x: float = Field(default=0.071, description="Calibration x [m]") calibration_y: float = Field(default=-0.025, description="Calibration y [m]") @@ -74,13 +72,14 @@ class MoveToPointTool(BaseTool): args_schema: Type[MoveToPointToolInput] = MoveToPointToolInput - def __init__(self, node: Node): + def __init__(self, node: Node, **kwargs): super().__init__( node=node, client=node.create_client( ManipulatorMoveTo, "/manipulator_move_to", ), + **kwargs, ) def _run( @@ -106,7 +105,7 @@ def _run( pose_stamped.pose.position.z = np.max( [pose_stamped.pose.position.z, self.min_z] - ) # avoid hitting the table + ) request = ManipulatorMoveTo.Request() request.target_pose = pose_stamped @@ -144,13 +143,13 @@ class GetObjectPositionsToolInput(BaseModel): class GetObjectPositionsTool(BaseTool): name: str = "get_object_positions" description: str = ( - "Retrieve the positions of all objects of a specified type within the manipulator's frame of reference. " + "Retrieve the positions of all objects of a specified type in the target frame. " "This tool provides accurate positional data but does not distinguish between different colors of the same object type. " "While position detection is reliable, please note that object classification may occasionally be inaccurate." ) - target_frame: str # frame of the manipulator - source_frame: str # frame of the camera + target_frame: str + source_frame: str camera_topic: str # rgb camera topic depth_topic: str camera_info_topic: str # rgb camera info topic diff --git a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/segmentation_tools.py b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/segmentation_tools.py index 5a4dbf161..de2c0fea6 100644 --- a/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/segmentation_tools.py +++ b/src/rai_extensions/rai_open_set_vision/rai_open_set_vision/tools/segmentation_tools.py @@ -12,7 +12,7 @@ # See the License for the specific language governing permissions and # limitations under the License. -from typing import Any, List, Optional, Type +from typing import Any, List, Optional, Sequence, Type import cv2 import numpy as np @@ -177,7 +177,9 @@ def _run( return "", {"segmentations": ret} -def depth_to_point_cloud(depth_image, fx, fy, cx, cy): +def depth_to_point_cloud( + depth_image: np.ndarray, fx: float, fy: float, cx: float, cy: float +): height, width = depth_image.shape # Create grid of pixel coordinates @@ -233,13 +235,15 @@ def _process_mask( self, mask_msg: sensor_msgs.msg.Image, depth_msg: sensor_msgs.msg.Image, - intrinsic, + intrinsic: Sequence[float], + depth_to_meters_ratio: float, ): mask = convert_ros_img_to_ndarray(mask_msg) binary_mask = np.where(mask == 255, 1, 0) depth = convert_ros_img_to_ndarray(depth_msg) masked_depth_image = np.zeros_like(depth, dtype=np.float32) masked_depth_image[binary_mask == 1] = depth[binary_mask == 1] + masked_depth_image = masked_depth_image * depth_to_meters_ratio pcd = depth_to_point_cloud( masked_depth_image, intrinsic[0], intrinsic[1], intrinsic[2], intrinsic[3] @@ -248,6 +252,7 @@ def _process_mask( # TODO: Filter out outliers points = pcd + # https://github.com/ycheng517/tabletop-handybot/blob/6d401e577e41ea86529d091b406fbfc936f37a8d/tabletop_handybot/tabletop_handybot/tabletop_handybot_node.py#L413-L424 grasp_z = points[:, 2].max() near_grasp_z_points = points[points[:, 2] > grasp_z - 0.008] xy_points = near_grasp_z_points[:, :2] @@ -265,8 +270,6 @@ def _process_mask( # Calculate full 3D centroid for OBJECT centroid = np.mean(points, axis=0) - # TODO : change offset to be dependant on the height of the object - centroid[2] += 0.1 # Added a small offset to prevent gripper collision return centroid, gripper_rotation def _run( @@ -315,6 +318,13 @@ def _run( assert resolved is not None rets = [] for mask_msg in resolved.masks: - rets.append(self._process_mask(mask_msg, depth_msg, intrinsic)) + rets.append( + self._process_mask( + mask_msg, + depth_msg, + intrinsic, + depth_to_meters_ratio=conversion_ratio, + ) + ) return rets From 5e3cb677a89abe630709028660df159ba22221e4 Mon Sep 17 00:00:00 2001 From: Bartek Boczek <22739059+boczekbartek@users.noreply.github.com> Date: Mon, 21 Oct 2024 00:24:14 +0200 Subject: [PATCH 71/84] fix: add tracing to the agent in `RaiStateBasedLlmNode` (#288) --- src/rai/rai/node.py | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/src/rai/rai/node.py b/src/rai/rai/node.py index b6acbd8ea..15d439437 100644 --- a/src/rai/rai/node.py +++ b/src/rai/rai/node.py @@ -51,7 +51,7 @@ from rai.tools.ros.native_actions import Ros2BaseActionTool from rai.tools.ros.utils import convert_ros_img_to_base64, import_message_from_str from rai.tools.utils import wait_for_message -from rai.utils.model_initialization import get_llm_model +from rai.utils.model_initialization import get_llm_model, get_tracing_callbacks from rai.utils.ros import NodeDiscovery, RosoutBuffer from rai_interfaces.action import Task as TaskAction @@ -482,7 +482,11 @@ async def agent_loop(self, goal_handle: ServerGoalHandle): state = None for state in self.llm_app.stream( - payload, {"recursion_limit": self.AGENT_RECURSION_LIMIT} + payload, + { + "recursion_limit": self.AGENT_RECURSION_LIMIT, + "callbacks": get_tracing_callbacks(), + }, ): graph_node_name = list(state.keys())[0] From b05e5e1143ce578a31063e1c9dc3599a848aa1c6 Mon Sep 17 00:00:00 2001 From: Maciej Majek <46171033+maciejmajek@users.noreply.github.com> Date: Mon, 21 Oct 2024 09:00:22 +0200 Subject: [PATCH 72/84] feat: add autoware call in taxi-demo (#263) --- examples/taxi-demo.py | 45 ++++++++++++++++++++++++++++++++++--------- 1 file changed, 36 insertions(+), 9 deletions(-) diff --git a/examples/taxi-demo.py b/examples/taxi-demo.py index 1d78dfc7e..6f5d24a48 100644 --- a/examples/taxi-demo.py +++ b/examples/taxi-demo.py @@ -23,18 +23,11 @@ from std_msgs.msg import String from rai.agents.conversational_agent import create_conversational_agent +from rai.tools.ros.cli import Ros2ServiceTool +from rai.tools.ros.native import Ros2PubMessageTool from rai.utils.model_initialization import get_llm_model, get_tracing_callbacks from rai_hmi.api import GenericVoiceNode, split_message - -@tool -def navigate(street: str, number: int, city: str, country: str) -> str: - """ - Send the destination to the navigation system. - """ - return f"Navigating to {street} {number}, {city}, {country}" - - system_prompt = """ **System Role: Taxi Driver in Warsaw** @@ -62,6 +55,40 @@ class TaxiDemo(GenericVoiceNode): def __init__(self): super().__init__("taxi_demo_node", Queue(), "") + @tool + def navigate(street: str, number: int, city: str, country: str) -> str: + """ + Send the destination to the Autoware system. + This is a mock example, so the goal pose is hardcoded. + In a real implementation, the goal pose should be retrieved from maps vendor (latitude and longitude) + and then converted to a pose in the map frame. + """ + autoware_navigate_tool = Ros2PubMessageTool(node=self) + autoware_mode_tool = Ros2ServiceTool() + autoware_navigate_tool.run( + { + "topic_name": "/planning/mission_planning/goal", + "msg_type": "geometry_msgs/msg/PoseStamped", + "msg_args": { + "header": {"frame_id": "base_link"}, + "pose": { + "position": { + "x": 5.0, + "y": 0.0, + "z": 0.0, + }, # since this is a mock example, we are using a position in front of the vehicle + "orientation": {"x": 0.0, "y": 0.0, "z": 0.0, "w": 1.0}, + }, + }, + } + ) + autoware_mode_tool.run( + tool_input={ + "command": "call /api/operation_mode/change_to_autonomous autoware_adapi_v1_msgs/srv/ChangeOperationMode" + } + ) + return f"Navigating to {street} {number}, {city}, {country}" + self.agent = create_conversational_agent( get_llm_model("complex_model"), [navigate, GooglePlacesTool(), TavilySearchResults()], From ba54c3bdc44d32fab3224e5636fee0b8539d1991 Mon Sep 17 00:00:00 2001 From: Bartek Boczek <22739059+boczekbartek@users.noreply.github.com> Date: Mon, 21 Oct 2024 20:37:41 +0200 Subject: [PATCH 73/84] improve RAG formating in streamlit (#289) Co-authored-by: Maciej Majek <46171033+maciejmajek@users.noreply.github.com> --- src/rai_hmi/rai_hmi/base.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/src/rai_hmi/rai_hmi/base.py b/src/rai_hmi/rai_hmi/base.py index d64c9067b..c787e7a8e 100644 --- a/src/rai_hmi/rai_hmi/base.py +++ b/src/rai_hmi/rai_hmi/base.py @@ -148,7 +148,11 @@ def query_faiss_index_with_scores( self, query: str, k: int = 4 ) -> List[Tuple[Document, float]]: output = self.faiss_index.similarity_search_with_score(query, k) - return output + formatted_output = "" + for doc, score in output: + source = doc.metadata.get("source", "Unknown source") + formatted_output += f"Document source: {source}\nScore: {score}\nContent: \n{doc.page_content}\n\n" + return formatted_output def _initialize_system_prompt(self): return append_whoami_info_to_prompt( From df4f5e878134ca903aac420e513994293f74a622 Mon Sep 17 00:00:00 2001 From: Maciej Majek <46171033+maciejmajek@users.noreply.github.com> Date: Tue, 22 Oct 2024 00:04:40 +0200 Subject: [PATCH 74/84] feat: agriculture demo (#285) --- docs/demos/agriculture.md | 76 ++++++++++++++ docs/imgs/agriculture_demo.gif | Bin 0 -> 6667724 bytes examples/agriculture-demo.py | 179 ++++++++++++++++++++++++++++++++ src/rai/rai/tools/ros/native.py | 53 ++++++++++ 4 files changed, 308 insertions(+) create mode 100644 docs/demos/agriculture.md create mode 100644 docs/imgs/agriculture_demo.gif create mode 100644 examples/agriculture-demo.py diff --git a/docs/demos/agriculture.md b/docs/demos/agriculture.md new file mode 100644 index 000000000..732fe10af --- /dev/null +++ b/docs/demos/agriculture.md @@ -0,0 +1,76 @@ +# Autonomous Tractor Demo + +This demo showcases autonomous tractors operating in an agricultural field using ROS 2. The tractor is controlled using a conventional navigation stack. Sometimes, due to the ever-changing environment, the tractor may encounter unexpected situations. The conventional stack is not designed to handle these situations and usually ends up replanning the path. The tractor can handle this optimally by calling the RAI agent to decide what to do. + +![Tractor in field meets an obstacle](../imgs/agriculture_demo.gif) + +## Quick Start + +1. **Download the Latest Release** + + Download the latest binary release for your ROS 2 distribution. + + - [ros2-humble-agriculture-demo](https://robotec-ml-roscon2024-demos.s3.eu-central-1.amazonaws.com/RAIAgricultureDemo_1.0.0_jammyhumble.zip) + - [ros2-jazzy-agriculture-demo](https://robotec-ml-roscon2024-demos.s3.eu-central-1.amazonaws.com/RAIAgricultureDemo_1.0.0_noblejazzy.zip) + +2. **Install Required Packages** + + ```bash + sudo apt install ros-${ROS_DISTRO}-ackermann-msgs ros-${ROS_DISTRO}-gazebo-msgs ros-${ROS_DISTRO}-control-toolbox ros-${ROS_DISTRO}-nav2-bringup + ``` + +3. **Unpack the Binary and Run the Simulation** + Unpack the binary + + - For Jazzy: + + ```bash + unzip RAIAgricultureDemo_1.0.0_noblejazzy.zip + ``` + + - For Humble: + + ```bash + unzip RAIAgricultureDemo_1.0.0_jammyhumble.zip + ``` + + ```bash + . /opt/ros/${ROS_DISTRO}/setup.bash + ./RAIAgricultureDemoGamePackage/RAIAgricultureDemo.GameLauncher -bg_ConnectToAssetProcessor=0 + ``` + +4. **Start the Tractor Node** + + ```bash + python examples/agriculture-demo.py --tractor_number 1 + ``` + +You are now ready to run the demo and see the tractor in action! + +## Running the Demo + +The demo simulates a scenario where the tractor stops due to an unexpected situation. The RAI Agent decides the next action based on the current state. + +### RAI Agent decisions + +RAI Agent's mission is to decide the next action based on the current state of the anomaly. There are three exposed services to control the tractor: + +- continue + +Used when the anomaly is flagged as a false positive. + +- flash + +Used to flash the lights on the tractor to e.g. get the attention of the animals + +- replan + +Used to replan the path/skip the alley. + +### What Happens in the Demo? + +- The node listens for the tractor's state and calls the RaiNode using ROS 2 action when an anomaly is detected. +- The RaiNode decides the next action based on the current state. +- The tractor performs the action and the demo continues. + +For more details on configuring RAI for specific robots, refer to the [RAI documentation](../create_robots_whoami.md). diff --git a/docs/imgs/agriculture_demo.gif b/docs/imgs/agriculture_demo.gif new file mode 100644 index 0000000000000000000000000000000000000000..696acd9424e28d0dfd1a61556aafff25366df216 GIT binary patch literal 6667724 zcmV)0K+eBMNk%w1VORoC0r&p^00001009940Rja91OWjB1Of#M0}28H3J3)X4+;tp 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