# sniklaus/pytorch-spynet

<https://repo.masters-masters.com/en/repos/sniklaus/pytorch-spynet>

[Home](https://repo.masters-masters.com/en) › [sniklaus](https://repo.masters-masters.com/en/owners/sniklaus) › [pytorch-spynet](https://repo.masters-masters.com/en/repos/sniklaus/pytorch-spynet)

sniklaus/pytorch-spynet has 340 stars on GitHub. Its RepoMasters card: Alpha tier. a reimplementation of Optical Flow Estimation using a Spatial Pyramid…

| Field | Value |
| --- | --- |
| Owner | [sniklaus](https://repo.masters-masters.com/en/owners/sniklaus) |
| Stars | 340 |
| Forks | 47 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | GPL-3.0 |
| Created | 2017 |
| Topics | pytorch, python, cuda, deep-learning |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [sniklaus/pytorch-spynet](https://github.com/sniklaus/pytorch-spynet) |

## Repository

a reimplementation of Optical Flow Estimation using a Spatial Pyramid Network in PyTorch

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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