lightweight-human-pose-estimation.pytorch
BlazePose-tensorflow
Our great sponsors
| lightweight-human-pose-estimation.pytorch | BlazePose-tensorflow | |
|---|---|---|
| 2 | 1 | |
| 2,021 | 109 | |
| - | - | |
| 0.0 | 2.6 | |
| about 1 month ago | over 3 years ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
lightweight-human-pose-estimation.pytorch
-
Help finding an appropriate model for human pose estimation
Lightweight OpenPose: Runs in realtime >20fps confirmed, training code is provided
-
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?
BlazePose-tensorflow
-
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
AlphaPose - Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
openpifpaf - Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
DeepLabCut - Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
tfjs-models - Pretrained models for TensorFlow.js
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.
tfjs - A WebGL accelerated JavaScript library for training and deploying ML models.
deep-high-resolution-net.pytorch - The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"