nerfmm
lightweight-human-pose-estimation.pytorch
| nerfmm | lightweight-human-pose-estimation.pytorch | |
|---|---|---|
| 2 | 2 | |
| 539 | 2,023 | |
| 0.7% | - | |
| 2.0 | 2.5 | |
| 9 months ago | 3 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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nerfmm
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?
SuperGluePretrainedNetwork - SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
BlazePose-tensorflow - A third-party Tensorflow Implementation for paper "BlazePose: On-device Real-time Body Pose tracking".
3d-photo-inpainting - [CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting
openpose - OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Hierarchical-Localization - Visual localization made easy with hloc
AlphaPose - Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
pi-GAN-pytorch - Implementation of π-GAN, for 3d-aware image synthesis, in Pytorch
openpifpaf - Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
multinerf - A Code Release for Mip-NeRF 360, Ref-NeRF, and RawNeRF
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.