# ohtlab/headpose-fsanet-pytorch

<https://repo.masters-masters.com/en/repos/ohtlab/headpose-fsanet-pytorch>

[Home](https://repo.masters-masters.com/en) › [ohtlab](https://repo.masters-masters.com/en/owners/ohtlab) › [headpose-fsanet-pytorch](https://repo.masters-masters.com/en/repos/ohtlab/headpose-fsanet-pytorch)

ohtlab/headpose-fsanet-pytorch has 128 stars on GitHub. Its RepoMasters card: Prototype tier. Pytorch implementation of FSA-Net: Learning Fine-Grained…

| Field | Value |
| --- | --- |
| Owner | [ohtlab](https://repo.masters-masters.com/en/owners/ohtlab) |
| Stars | 128 |
| Forks | 31 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2020 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [ohtlab/headpose-fsanet-pytorch](https://github.com/ohtlab/headpose-fsanet-pytorch) |

## Repository

Pytorch implementation of FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation from a Single Image

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.