| --- |
| license: apache-2.0 |
| tags: |
| - computer_vision |
| - pose_estimation |
| - animal_pose_estimation |
| - deeplabcut |
| --- |
| |
| # DeepLabCut - Model Backbones |
|
|
| This repository contains backbone weights for [DeepLabCut]( |
| https://github.com/DeepLabCut/DeepLabCut) models [1]. These weights are downloaded |
| automatically in DeepLabCut when a model architecture requiring them is used. |
|
|
| ## Backbone Architectures |
|
|
| ### CSPNeXt |
|
|
| The CSPNeXt backbone was first introduced in _RTMDet: An Empirical Study of Designing |
| Real-Time Object Detectors_ [2], and then used in _RTMPose: Real-Time Multi-Person Pose |
| Estimation based on MMPose_ [3]. These model weights are adapted from the [CSPNeXt |
| weights pre-trained on 7 public human pose estimation benchmarks]( |
| https://github.com/open-mmlab/mmpose/tree/main/projects/rtmpose#pretrained-models) |
| released with the RTMPose models. Available variants are `CSPNeXT-s`, `CSPNeXT-m`, and |
| `CSPNeXT-x`. |
|
|
| ## References |
|
|
| 1. Alexander Mathis, Pranav Mamidanna, Kevin M. Cury, Taiga Abe, Venkatesh N. Murthy, |
| Mackenzie W. Mathis, Matthias Bethge. DeepLabCut: markerless pose estimation of |
| user-defined body parts with deep learning. In Nature Neuroscience, 21, 1281–1289 |
| (2018). |
| 2. Chengqi Lyu, Wenwei Zhang, Haian Huang, Yue Zhou, Yudong Wang, Yanyi Liu, Shilong |
| Zhang, Kai Chen. RTMDet: An Empirical Study of Designing Real-Time Object Detectors. |
| ArXiv, abs/2212.07784, 2022. |
| 3. Tao Jiang, Peng Lu, Li Zhang, Ningsheng Ma, Rui Han, Chengqi Lyu, Yining Li, Kai |
| Chen. RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose. ArXiv, |
| abs/2303.07399, 2023. |
|
|
