animal-kingdom

[CVPR2022] Animal Kingdom: A Large and Diverse Dataset for Animal Behavior Understanding

ap-10k

NeurIPS 2021 Datasets and Benchmarks Track

deeplabcut

Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

icpr22w

interview

📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, e

kapao

KAPAO is an efficient single-stage human pose estimation model that detects keypoints and poses as objects and fuses the detections to predict human poses.

light-lpn-pytorch

matlab-image-dehaze-enhance

图像去雾、图像增强、灰度直方图均衡化等

mmpose

OpenMMLab Pose Estimation Toolbox and Benchmark.

pose-for-everything

The official repo for ECCV'22 paper: Pose for Everything: Towards Category-Agnostic Pose Estimation

pytorch-yolov4

PyTorch ,ONNX and TensorRT implementation of YOLOv4

slowfast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

techcpp

【C++面试&C++学习指南】 这里整理了C++后端研发工程师面试和工作必备的知识点 。

uda_poseestimation