Stars
The unofficial python package that returns response of Google Bard through cookie value.
Script that organizes the Google Takeout archive into one big chronological folder
🚄 Telegram bot that searches available trains in MAX Jeune / Senior subscriptions.
CLI client to show all available proposals for MAXJeunes (ex TGVMax) subscribers
FastAPI Template with Docker, Postgres
API documentation for https://www.harvardartmuseums.org
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
[CVPR 2023] Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation"
EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.
The scripts that run on the Telraam Raspberry Pi computers, responsible for connecting to the local wifi, traffic monitoring and communicating with the central Telraam servers.
最新版本yolov5+deepsort目标检测和追踪，能够显示目标类别，支持5.0版本可训练自己数据集
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
An Open Source Machine Learning Framework for Everyone
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
Experimental projects we've done with DepthAI.
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Models and examples built with TensorFlow
objective was to detect objects in traffic surveillance videos into categories person, car, rickshaw, autorickshaw, bicycle, motorcycle
The Tsinghua-Daimler Cyclist Benchmark scripts
Python library to extract data from senscritique.com.
An API wrapper for Discord written in Python.
Modified implementation of DCGAN focused on generative art. Includes pre-trained models for landscapes, nude-portraits, and others.