kar98kbang

mediapipe

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

ORB_SLAM2

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

pygcn

Graph Convolutional Networks in PyTorch

deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

awesome-hand-pose-estimation

Awesome work on hand pose estimation/tracking

mmskeleton

A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.

DANet

Dual Attention Network for Scene Segmentation (CVPR2019)

Pangolin

Pangolin is a lightweight portable rapid development library for managing OpenGL display / interaction and abstracting video input.

MAML-Pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

DeepLearningForNLPInPytorch

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

scikit-feature

open-source feature selection repository in python

HyperPose

Library for Fast and Flexible Human Pose Estimation

training_extensions

Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™

DetectAndTrack

The implementation of an algorithm presented in the CVPR18 paper: "Detect-and-Track: Efficient Pose Estimation in Videos"

Awesome-CVPR-Paper

CVPR 论文收集，包含但不限于2022、2021、2020、2019、2018、2017文章

hand-graph-cnn

3D Hand Shape and Pose Estimation from a Single RGB Image

bilinear-cnn

PyTorch implementation of bilinear CNN for fine-grained image recognition

c3d-pytorch

Pytorch porting of C3D network, with Sports1M weights

gesture-recognition

:hand: Recognizing "Hand Gestures" using OpenCV and Python.

AS-GCN

The model architecture of AS-GCN (for human action recognition)

Skeleton-Based-Action-Recognition-Papers

The paper list about skeleton-based action recognition.

DD-Net

A lightweight network for body/hand action recognition

AttentiveFP

3D-Action-recognition

PyTorch implementation of Two-stream CNN for 3D action recognition

TS-LSTM

Skeleton-based Action Recognition using TS-LSTM model

pytorch-learning-notes

pytorch learning tutorials

openpose-pytorch

PyTorch implementation of the OpenPose

Human-Action-Recognition-from-Skeleton-Data

A Simple But High-accuracy LSTM for human Action Recognition

LSTM-for-Human-Activity-Recognition-using-2D-Pose_Pytorch

Based on PyTorch library, realizing human activities recognition using 2D skeleton joint points

SK-CNN

sk-cnn is proposed in Skeleton based action recognition with convolutional neural network(PR 2016). Here implemented in Keras