Stars
OCR, layout analysis, reading order, table recognition in 90+ languages
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
NanoDet-Plusā”Super fast and lightweight anchor-free object detection model. š„Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphoneš„
The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"
[ECCV2024] API code for T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy
Real-time pose estimation accelerated with NVIDIA TensorRT
Code release for CVPR'24 submission 'OmniGlue'
code for CVPR2024 paper: DiffMOT: A Real-time Diffusion-based Multiple Object Tracker with Non-linear Prediction
A Pytorch implementation of MoveNet from Google. Include training code and pre-trained model.
M. Beyeler (2015). OpenCV with Python Blueprints: Design and develop advanced computer vision projects using OpenCV with Python, Packt Publishing Ltd., ISBN 978-178528269-0.