django-matomo
AlphaPose
Our great sponsors
| django-matomo | AlphaPose | |
|---|---|---|
| 1 | 4 | |
| 9 | 7,716 | |
| - | 1.5% | |
| 1.3 | 0.0 | |
| 12 months ago | 4 months ago | |
| Python | Python | |
| - | GNU General Public License v3.0 or later |
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django-matomo
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Integrating Django framework with Matomo web analytics platform
The source code is available at the django-matomo GitHub repository
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
What are some alternatives?
django-plausible-proxy - Django application to proxy requests and send server-side events to Plausible Analytics.
openpose - OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
pytracking - Visual tracking library based on PyTorch.
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
trape - People tracker on the Internet: OSINT analysis and research tool by Jose Pino
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"
deep-high-resolution-net.pytorch - The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose 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.