evopose2d
lightweight-human-pose-estimation.pytorch
| evopose2d | lightweight-human-pose-estimation.pytorch | |
|---|---|---|
| 1 | 2 | |
| 82 | 2,023 | |
| - | - | |
| 0.0 | 2.5 | |
| over 2 years ago | 5 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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evopose2d
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Is there an easy way to add pose estimation into a sequential tensorflow model?
You could try EvoPose2D. It uses the TF2 Keras API. It outputs heatmaps, though, so your second network could either work with the heatmaps directly or you could try converting the heatmaps to x,y coordinates by implementing a soft argmax.
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?
posenet-python - A Python port of Google TensorFlow.js PoseNet (Real-time Human Pose Estimation)
BlazePose-tensorflow - A third-party Tensorflow Implementation for paper "BlazePose: On-device Real-time Body Pose tracking".
tensorflow_Realtime_Multi-Person_Pose_Estimation - Multi-Person Pose Estimation project for Tensorflow 2.0 with a small and fast model based on MobilenetV3
openpose - OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
metrabs - Estimate absolute 3D human poses from RGB images.
AlphaPose - Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
DECIMER-Image_Transformer - DECIMER: Deep Learning for Chemical Image Recognition using Efficient-Net V2 + Transformer
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
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.
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.