# antocad/FocusOnDepth

<https://repo.masters-masters.com/en/repos/antocad/FocusOnDepth>

[Home](https://repo.masters-masters.com/en) › [antocad](https://repo.masters-masters.com/en/owners/antocad) › [FocusOnDepth](https://repo.masters-masters.com/en/repos/antocad/FocusOnDepth)

antocad/FocusOnDepth has 158 stars on GitHub. Its RepoMasters card: Prototype tier. A Monocular depth-estimation for in-the-wild AutoFocus application.

| Field | Value |
| --- | --- |
| Owner | [antocad](https://repo.masters-masters.com/en/owners/antocad) |
| Stars | 158 |
| Forks | 30 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2021 |
| Topics | depth-estimation, pytorch, semantic-segmentation, deep-learning, dense-prediction, vision-transformers |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [antocad/FocusOnDepth](https://github.com/antocad/FocusOnDepth) |

## Repository

A Monocular depth-estimation for in-the-wild AutoFocus application.

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.
