BlazePose-tensorflow
lightweight-human-pose-estimation.pytorch
| BlazePose-tensorflow | lightweight-human-pose-estimation.pytorch | |
|---|---|---|
| 1 | 2 | |
| 109 | 2,021 | |
| - | - | |
| 2.6 | 0.0 | |
| over 3 years ago | about 1 month ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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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
lightweight-human-pose-estimation.pytorch
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Help finding an appropriate model for human pose estimation
Lightweight OpenPose: Runs in realtime >20fps confirmed, training code is provided
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How do I properly dissect a Github repo of a ML model?
Using https://github.com/Daniil-Osokin/lightweight-human-pose-estimation.pytorch as an example (or another repo, that was just one I found), could someone please give me a step by step process of how they read a repo for a research paper?
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.
AlphaPose - Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
openpifpaf - Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
tfjs-models - Pretrained models for TensorFlow.js
DeepLabCut - Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
tfjs - A WebGL accelerated JavaScript library for training and deploying ML models.
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.
deep-high-resolution-net.pytorch - The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"