# jaehyunnn/ViTPose\_pytorch

<https://repo.masters-masters.com/en/repos/jaehyunnn/ViTPose_pytorch>

[Home](https://repo.masters-masters.com/en) › [jaehyunnn](https://repo.masters-masters.com/en/owners/jaehyunnn) › [ViTPose\_pytorch](https://repo.masters-masters.com/en/repos/jaehyunnn/ViTPose_pytorch)

jaehyunnn/ViTPose\_pytorch has 125 stars on GitHub. Its RepoMasters card: Prototype tier. An unofficial implementation of ViTPose \[Y. Xu et al., 2022\]

| Field | Value |
| --- | --- |
| Owner | [jaehyunnn](https://repo.masters-masters.com/en/owners/jaehyunnn) |
| Stars | 125 |
| Forks | 22 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | Apache-2.0 |
| Created | 2022 |
| Topics | vitpose, computer-vision, human-pose, pose-estimation, transformers, vision-transformers, vit |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [jaehyunnn/ViTPose\_pytorch](https://github.com/jaehyunnn/ViTPose_pytorch) |

## Repository

An unofficial implementation of ViTPose \[Y. Xu et al., 2022\]

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.