Stars
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
An extremely fast Python package and project manager, written in Rust.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
We write your reusable computer vision tools. 💜
Annotate-lab is an open-source image annotation tool for efficient dataset creation. With an intuitive interface and flexible export options, it streamlines your machine learning workflow. 🖼️✏️📑
Effortless data labeling with AI support from Segment Anything and other awesome models.
Deep learning based object tracking with line crossing and area intrusion detection
🤯 LobeHub - an open-source, modern design AI Agent Workspace. Supports multiple AI providers, Knowledge Base (file upload / RAG ), one click install MCP Marketplace and Artifacts / Thinking. One-cl…
The project can achieve FCWS, LDWS, and LKAS functions solely using only visual sensors. using YOLOv5 / YOLOv5-lite / YOLOv6 / YOLOv7 / YOLOv8 / YOLOv9 / EfficientDet and Ultra-Fast-Lane-Detection-…
⭐⭐⭐ Pytorch implementation of Attentiom, Backbone, ViT, MLP, Re-parameter, Convolution, very flexible module combination.
Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
I just replaced the DirectMHP backend from YOLOv5 to YOLOv7.
This repo provides the C++ implementation of YOLO-NAS based on ONNXRuntime for performing object detection in real-time.Support float32/float16/int8 inference.
Concise, consistent, and legible badges in SVG and raster format
Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2), MobileSAM!!
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Python scripts performing object detection using the YOLOv8 model in ONNX.
ONNX and TensorRT inference demo for Unimatch
Python library to run Kinect Azure DK SDK functions