AlphaPose
deep-high-resolution-net.pytorch
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AlphaPose | deep-high-resolution-net.pytorch | |
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4 | 4 | |
7,653 | 4,190 | |
1.4% | - | |
0.0 | 0.0 | |
3 months ago | over 1 year ago | |
Python | Cuda | |
GNU General Public License v3.0 or later | MIT License |
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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
deep-high-resolution-net.pytorch
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Deadlift videos needed [AI]
I am sure you have some great ideas in mind for your model design, but a quick tip (from having worked on a similar project) - it may be very challenging to simply take raw videos as input (especially with unconstrained camera viewpoints) without doing some feature extraction/keypoint detection first. For example, open-source plug-and-play 2D keypoint detectors are extremely good nowadays (e.g HRNet), and explicitly detecting 2D keypoints before classifying deadlift videos as "good" or "bad" will likely make the task more feasible!
- Help finding an appropriate model for human pose estimation
What are some alternatives?
openpose - OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
mmpose - OpenMMLab Pose Estimation Toolbox and Benchmark.
BlazePose-tensorflow - A third-party Tensorflow Implementation for paper "BlazePose: On-device Real-time Body Pose tracking".
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.
openpifpaf - Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
VIBE - Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"
kapao - KAPAO is an efficient single-stage human pose estimation model that detects keypoints and poses as objects and fuses the detections to predict human poses.