# IntuitionMachines/OrigamiNet

<https://repo.masters-masters.com/en/repos/IntuitionMachines/OrigamiNet>

[Home](https://repo.masters-masters.com/en) › [IntuitionMachines](https://repo.masters-masters.com/en/owners/IntuitionMachines) › [OrigamiNet](https://repo.masters-masters.com/en/repos/IntuitionMachines/OrigamiNet)

IntuitionMachines/OrigamiNet has 147 stars on GitHub. Its RepoMasters card: Prototype tier. Public implementation of our CVPR Paper "OrigamiNet…

| Field | Value |
| --- | --- |
| Owner | [IntuitionMachines](https://repo.masters-masters.com/en/owners/IntuitionMachines) |
| Stars | 147 |
| Forks | 39 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2020 |
| Topics | ocr, handwritten-text-recognition, text-recognition, cvpr2020 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [IntuitionMachines/OrigamiNet](https://github.com/IntuitionMachines/OrigamiNet) |

## Repository

Public implementation of our CVPR Paper "OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page TextRecognition by learning to unfold"

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.