Collection of common code that's shared among different research projects in FAIR computer vision team.

A tool to blur faces or other regions in images and videos 🤡🔍

We write your reusable computer vision tools. 💜

The easiest way to visualize your computer vision models inferences.

Segment Anything in High Quality [NeurIPS 2023]

Images to inference with no labeling (use foundation models to train supervised models).

Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

An open-source computer vision framework to build and deploy apps in minutes

Cross-platform, customizable ML solutions for live and streaming media.

Yolov5 Face Detection

Semantic segmentation for hair, face and background

segmentation and color classification

Deep face segmentation in extremely hard conditions

Face Video Segmentation - Face segmentation ground truth from videos

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box