# svip-lab/HRNet-for-Fashion-Landmark-Estimation.PyTorch

<https://repo.masters-masters.com/en/repos/svip-lab/HRNet-for-Fashion-Landmark-Estimation.PyTorch>

[Home](https://repo.masters-masters.com/en) › [svip-lab](https://repo.masters-masters.com/en/owners/svip-lab) › [HRNet-for-Fashion-Landmark-Estimation.PyTorch](https://repo.masters-masters.com/en/repos/svip-lab/HRNet-for-Fashion-Landmark-Estimation.PyTorch)

svip-lab/HRNet-for-Fashion-Landmark-Estimation.PyTorch has 153 stars on GitHub. Its RepoMasters card: Prototype tier. \[DeepFashion2 Challenge\] Fashion…

| Field | Value |
| --- | --- |
| Owner | [svip-lab](https://repo.masters-masters.com/en/owners/svip-lab) |
| Stars | 153 |
| Forks | 23 |
| Language | [Cuda](https://repo.masters-masters.com/en/languages/cuda) |
| License | MIT |
| Created | 2019 |
| Topics | pytorch, fashion, keypoint |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [svip-lab/HRNet-for-Fashion-Landmark-Estimation.PyTorch](https://github.com/svip-lab/HRNet-for-Fashion-Landmark-Estimation.PyTorch) |

## Repository

\[DeepFashion2 Challenge\] Fashion Landmark Estimation with HRNet

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.