# opconty/Transformer\_STR

<https://repo.masters-masters.com/en/repos/opconty/Transformer_STR>

[Home](https://repo.masters-masters.com/en) › [opconty](https://repo.masters-masters.com/en/owners/opconty) › [Transformer\_STR](https://repo.masters-masters.com/en/repos/opconty/Transformer_STR)

opconty/Transformer\_STR has 224 stars on GitHub. Its RepoMasters card: Prototype tier. PyTorch implementation of my new method for Scene Text Recognition…

| Field | Value |
| --- | --- |
| Owner | [opconty](https://repo.masters-masters.com/en/owners/opconty) |
| Stars | 224 |
| Forks | 51 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2020 |
| Topics | transformer-str, ocr, text-recognition |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [opconty/Transformer\_STR](https://github.com/opconty/Transformer_STR) |

## Repository

PyTorch implementation of my new method for Scene Text Recognition (STR) based on Transformer,Equipped with Transformer, this method outperforms the best model of the aforementioned deep-text-recognition-benchmark by 7.6% on CUTE80.

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

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