AlphaPose
BlazePose-tensorflow
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| AlphaPose | BlazePose-tensorflow | |
|---|---|---|
| 4 | 1 | |
| 7,701 | 109 | |
| 1.3% | - | |
| 0.0 | 2.6 | |
| 4 months ago | over 3 years ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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AlphaPose
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Help finding an appropriate model for human pose estimation
alphapose: havent tried it, but looks to run at 16fps (maybe faster?) but is only intended for research not commercial. Training script available.
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[P] Gait Recognition in the wild
The model is an ST-GCN trained in a completely unsupervised manner, from a LOT of skeleton sequences. Pose estimation was performed with AlphaPose, and tracked using SORT.
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Human Pose Estimation Recommendation
Link: https://github.com/MVIG-SJTU/AlphaPose
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Tetris but you are the bricks
Pretty sure the software has improved enough to the point where it's pretty good https://github.com/MVIG-SJTU/AlphaPose
BlazePose-tensorflow
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Help finding an appropriate model for human pose estimation
blazepose: havent tried it yet, looks like tf implementation, but no discussion bout speed. Training code included
What are some alternatives?
openpose - OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
lightweight-human-pose-estimation.pytorch - Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
mmpose - OpenMMLab Pose Estimation Toolbox and Benchmark.
tfjs-models - Pretrained models for TensorFlow.js
openpifpaf - Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
tfjs - A WebGL accelerated JavaScript library for training and deploying ML models.
VIBE - Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"
deep-high-resolution-net.pytorch - The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"