A discussion for real-time (multi-person) pose estimation using TensorLayer and TensorFlow
Paper List
- 馃殌Pose Proposal Networks, ECCV 2018
- DensePose
- 馃殌 Convolutional Pose Machines
- Stacked Hourglass Networks for Human Pose Estimation
- 馃殌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 馃殌馃殌 Model Compression and Model Acceleration in TensorLayer聽#416
Existing code/resource
- 馃殌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
- 馃殌COCO API for preparing the data - cocoapi , pip3 install pycocotools, see keras_Realtime_Multi-Person_Pose_Estimation
- tf-pose-estimation using MobileNet , video , blog馃殌 , 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
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A discussion for real-time (multi-person) pose estimation using TensorLayer and TensorFlow
Paper List
Existing code/resource
Blog
About Data Augmentation
Others