# chenjun2hao/DDRNet.pytorch

<https://repo.masters-masters.com/en/repos/chenjun2hao/DDRNet.pytorch>

[Home](https://repo.masters-masters.com/en) › [chenjun2hao](https://repo.masters-masters.com/en/owners/chenjun2hao) › [DDRNet.pytorch](https://repo.masters-masters.com/en/repos/chenjun2hao/DDRNet.pytorch)

chenjun2hao/DDRNet.pytorch has 186 stars on GitHub. Its RepoMasters card: Prototype tier. This is the unofficial code of Deep Dual-resolution Networks for…

| Field | Value |
| --- | --- |
| Owner | [chenjun2hao](https://repo.masters-masters.com/en/owners/chenjun2hao) |
| Stars | 186 |
| Forks | 40 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2021 |
| Topics | ddrnet, pytorch, real-time, segmentation, semantic-segmentation |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [chenjun2hao/DDRNet.pytorch](https://github.com/chenjun2hao/DDRNet.pytorch) |

## Repository

This is the unofficial code of Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes. which achieve state-of-the-art trade-off between accuracy and speed on cityscapes and camvid, without using inference acceleration and extra data

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

## More repos by chenjun2hao

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- [chenjun2hao/SRN.pytorch · ★ 191 · Python · Prototype](https://repo.masters-masters.com/en/repos/chenjun2hao/SRN.pytorch)
- [chenjun2hao/Bert\_OCR.pytorch · ★ 134 · Python · Prototype](https://repo.masters-masters.com/en/repos/chenjun2hao/Bert_OCR.pytorch)

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.