Stars
Python scripts for the Segment Anythin 2 (SAM2) model in ONNX
Standalone repository of the CSRT tracker (the best performing real-time tracker in VOT2017 challenge, also known as CSRDCF++). This is a standalone build, aimed at ROS Kinetic users (opencv-3.3.1-…
SPEED SAM C++ TENSORRT: A high-performance C++ implementation using TensorRT and CUDA
Segment Anything Model 2 CPP Wrapper for macOS and Ubuntu GPU
Using OnnxRuntime to inference yolov10,yolov10+SAM ,yolov10+bytetrack , SAM2 and paddleOCR by c++ .
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation, ECCV 2020
Muggled SAM: Segmentation without the magic
Xin Wu, Danfeng Hong, Jocelyn Chanussot. UIU-Net: U-Net in U-Net for Infrared Small Object Detection, IEEE Trans. Image. Process., 2022, 32: 364-376.
Run Segment Anything Model 2 on a live video stream
Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"
HOTA (and other) evaluation metrics for Multi-Object Tracking (MOT).
📊 Benchmark multiple object trackers (MOT) in Python
Mask R-CNN Model to detect the area of damage on a car. The rationale for such a model is that it can be used by insurance companies for faster processing of claims if users can upload pics and the…
Visualizer for neural network, deep learning and machine learning models
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
An Attribute-based Method for Video Anomaly Detection (TMLR 2025)
NVIDIA DeepStream SDK 7.1 / 7.0 / 6.4 / 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 implementation for YOLO models
Samples for TensorRT/Deepstream for Tesla & Jetson
🚀 Easier & Faster YOLO Deployment Toolkit for NVIDIA 🛠️
a reimplementation of PWC-Net in PyTorch that matches the official Caffe version