# Delay-Xili/F-Clip

<https://repo.masters-masters.com/en/repos/Delay-Xili/F-Clip>

[Home](https://repo.masters-masters.com/en) › [Delay-Xili](https://repo.masters-masters.com/en/owners/Delay-Xili) › [F-Clip](https://repo.masters-masters.com/en/repos/Delay-Xili/F-Clip)

Delay-Xili/F-Clip has 177 stars on GitHub. Its RepoMasters card: Prototype tier. The official PyTorch implementation of the paper: \*Xili Dai, Haigang Gong…

| Field | Value |
| --- | --- |
| Owner | [Delay-Xili](https://repo.masters-masters.com/en/owners/Delay-Xili) |
| Stars | 177 |
| Forks | 22 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2021 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Delay-Xili/F-Clip](https://github.com/Delay-Xili/F-Clip) |

## Repository

The official PyTorch implementation of the paper: \*Xili Dai, Haigang Gong, Shuai Wu, Xiaojun Yuan, Yi Ma. "Fully Convolutional Line Parsing." \*.

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.