Closed
Description
A discussion for real-time (multi-person) pose estimation using TensorLayer and TensorFlow
Paper List
- 🚀Pose Proposal Networks, ECCV 2018
- DensePose
- 🚀 Convolutional Pose Machines
- Stacked Hourglass Networks for Human Pose Estimation
- 🚀Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
- VNect: Real-time 3D Human Pose Estimation with a Single RGB Camera
- For Model Acceleration, see 🚀🚀 Model Compression and Model Acceleration in TensorLayer #416
Existing code/resource
- 🚀the author of
"Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields"provides some links in his github: ZheC/Realtime_Multi-Person_Pose_Estimation, [video], [training log] - pyopenpose PyOpenPose
- 🚀COCO API for preparing the data - cocoapi ,
pip3 install pycocotools, see keras_Realtime_Multi-Person_Pose_Estimation - tf-pose-estimation using MobileNet , video , blog🚀 , faster and other implementations
- data augmentation in cpp , see rmpe_dataset_server
- evaluate MPII result , see mpii-evluation
- openpose output format , see openpose
- Receptive Fields Calculator
Blog
- https://arvrjourney.com/human-pose-estimation-using-openpose-with-tensorflow-part-1-7dd4ca5c8027
- https://arvrjourney.com/human-pose-estimation-using-openpose-with-tensorflow-part-2-e78ab9104fc8
About Data Augmentation
- https://github.com/ZheC/Realtime_Multi-Person_Pose_Estimation/blob/master/training/setLayers.py#L457
- https://github.com/ZheC/Realtime_Multi-Person_Pose_Estimation/blob/master/training/setLayers.py#L343
Others
- MPII benchmarks http://human-pose.mpi-inf.mpg.de/#related_benchmarks
- TensorFlow lite
- 知乎 https://www.zhihu.com/question/59750782/answer/207238452
- CSDN CPM http://blog.csdn.net/shenxiaolu1984/article/details/51094959
- Use TF dataset API to deal with large dataset https://blog.csdn.net/dQCFKyQDXYm3F8rB0/article/details/79342369