| | --- |
| | 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. |
| |
|
