# gjy3035/GCC-SFCN

<https://repo.masters-masters.com/en/repos/gjy3035/GCC-SFCN>

[Home](https://repo.masters-masters.com/en) › [gjy3035](https://repo.masters-masters.com/en/owners/gjy3035) › [GCC-SFCN](https://repo.masters-masters.com/en/repos/gjy3035/GCC-SFCN)

gjy3035/GCC-SFCN has 162 stars on GitHub. Its RepoMasters card: Prototype tier. This is the official code of spatial FCN in the paper Learning from Synthetic…

| Field | Value |
| --- | --- |
| Owner | [gjy3035](https://repo.masters-masters.com/en/owners/gjy3035) |
| Stars | 162 |
| Forks | 38 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2018 |
| Topics | crowd-counting, crowd-analysis, computer-vision, cvpr2019 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [gjy3035/GCC-SFCN](https://github.com/gjy3035/GCC-SFCN) |

## Repository

This is the official code of spatial FCN in the paper Learning from Synthetic Data for Crowd Counting in the Wild \[CVPR2019\].

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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