# Vooban/Smoothly-Blend-Image-Patches

<https://repo.masters-masters.com/en/repos/Vooban/Smoothly-Blend-Image-Patches>

[Home](https://repo.masters-masters.com/en) › [Vooban](https://repo.masters-masters.com/en/owners/Vooban) › [Smoothly-Blend-Image-Patches](https://repo.masters-masters.com/en/repos/Vooban/Smoothly-Blend-Image-Patches)

Vooban/Smoothly-Blend-Image-Patches has 382 stars on GitHub. Its RepoMasters card: Alpha tier. Using a U-Net for image segmentation, blending predicted…

| Field | Value |
| --- | --- |
| Owner | [Vooban](https://repo.masters-masters.com/en/owners/Vooban) |
| Stars | 382 |
| Forks | 90 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2017 |
| Topics | semantic-segmentation, image-segmentation, u-net, cnn |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [Vooban/Smoothly-Blend-Image-Patches](https://github.com/Vooban/Smoothly-Blend-Image-Patches) |

## Repository

Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.

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.