# charlesCXK/PyTorch\_Semantic\_Segmentation

<https://repo.masters-masters.com/en/repos/charlesCXK/PyTorch_Semantic_Segmentation>

[Home](https://repo.masters-masters.com/en) › [charlesCXK](https://repo.masters-masters.com/en/owners/charlesCXK) › [PyTorch\_Semantic\_Segmentation](https://repo.masters-masters.com/en/repos/charlesCXK/PyTorch_Semantic_Segmentation)

charlesCXK/PyTorch\_Semantic\_Segmentation has 242 stars on GitHub. Its RepoMasters card: Prototype tier. Implement some models of RGB/RGBD semantic…

| Field | Value |
| --- | --- |
| Owner | [charlesCXK](https://repo.masters-masters.com/en/owners/charlesCXK) |
| Stars | 242 |
| Forks | 55 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2019 |
| Topics | pointcloud, pytorch, semantic-segmentation, classification |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [charlesCXK/PyTorch\_Semantic\_Segmentation](https://github.com/charlesCXK/PyTorch_Semantic_Segmentation) |

## Repository

Implement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN

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

## More repos by charlesCXK

- [charlesCXK/TorchSemiSeg · ★ 545 · Python · Alpha](https://repo.masters-masters.com/en/repos/charlesCXK/TorchSemiSeg)
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- [charlesCXK/Depth2HHA-python · ★ 194 · Python · Prototype](https://repo.masters-masters.com/en/repos/charlesCXK/Depth2HHA-python)

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