手势识别方法收集

参考自 https://github.com/xinghaochen/awesome-hand-pose-estimation

1、Deep Hand Pose 2014年
caffe框架
Provides the source code for the deep learning components mentioned in “Depth-based hand pose estimation: methods, data, and challenges”
https://github.com/jsupancic/deep_hand_pose

Hand 3D Pose Estimation for 2 and 3
https://www.tugraz.at/institute/icg/research/team-lepetit/research-projects/hand-detection-and-3d-pose-estimation/
2、semi-auto-anno 2015年
theano 0.8
Semi-automatic 3D annotation of articulated structures, e.g. hands
https://github.com/moberweger/semi-auto-anno

3、deep piror++ 2016年
theano 0.9
DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation. In ICCV Workshop, 2017
https://github.com/moberweger/deep-prior-pp

4、Towards Good Practices for Deep 3D Hand Pose Estimation
caffe 2017
https://github.com/guohengkai/region-ensemble-network

5、Learning Pose Specific Representations by Predicting Different Views 2018
requirements
PyTorch (0.3.1; torch, torchvision)
enum34
matplotlib
scipy
pycrayon

https://github.com/poier/PreView

6、Multiresolution vanilla CNN, SqueezeNet and MobileNet architectures used for hand orientation inference.
暂且不看
https://github.com/frederik-laboyrie/hand-orientation-inference

7、Awesome Work on Hand Pose Estimation
hand pose总结
https://github.com/xinghaochen/awesome-hand-pose-estimation

8、Temporal Segment Networks: Towards Good Practices for Deep Action Recognition 2016年
guide Deep Action Recognition
pytorch
dataset：http://yjxiong.me/others/kinetics_action/
experiments：
https://github.com/yjxiong/tsn-pytorch
TSN codebase：
https://github.com/yjxiong/temporal-segment-networks

other people
Motion Fused Frames (MFFs)
https://github.com/okankop/MFF-pytorch