Scene Text Recognition with Permuted Autoregressive Sequence Models (ECCV 2022)
active 2024-01-26 → 2026-05-29 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 855 days from 2024-01-26 to 2026-05-29. Pushes: 10 total, peak 8 in a day. Pull requests: 4 total, peak 1 in a day. Issues: 17 total, peak 2 in a day. Comments: 31 total, peak 3 in a day. Stars: 119 total, peak 2 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| baudm | 19 | 10 | 1 | 5 |
| YenYunn | 3 | 0 | 0 | 3 |
| GIN-zhao | 2 | 0 | 0 | 2 |
| AlanFranklin258 | 2 | 0 | 0 | 1 |
| GIN-Margarita | 2 | 0 | 0 | 2 |
| owmo-2000 | 2 | 0 | 0 | 2 |
| rewolfdliw | 2 | 0 | 0 | 1 |
| dotneet | 2 | 0 | 1 | 0 |
| AnanasPizzaMigliore | 1 | 0 | 0 | 0 |
| ccslience | 1 | 0 | 0 | 0 |
| gaurav-g-12 | 1 | 0 | 0 | 1 |
| TruongNoDame | 1 | 0 | 0 | 0 |
| nischayGHB | 1 | 0 | 0 | 1 |
| LorenzoMainetti | 1 | 0 | 0 | 1 |
| hoonisone | 1 | 0 | 1 | 0 |
| LZeroCode | 1 | 0 | 0 | 1 |
| shanmugamani1023 | 1 | 0 | 0 | 1 |
| hungcao0402 | 1 | 0 | 0 | 1 |
| Tawheed-tariq | 1 | 0 | 0 | 1 |
| fuzheng1209 | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue#164sh1man9992025-11-24 13:03how to export model to dynamic batch size
- Issue#163Tryefold2025-08-16 03:45China can't use zhe pretrained model!!
- Issue comment#159owmo-20002025-05-10 11:31Can't recognize Chinese characters at all?
- Issue comment#159owmo-20002025-05-10 11:30Can't recognize Chinese characters at all?
- Issue comment#155LZeroCode2025-03-19 05:10After converting the PyTorch model to ONNX with dynamic batch size, if the input image quality is low, the eos_id cannot be retrieved.
- Issue comment#162tommy-aiteam2025-03-09 10:37The inference results using ONNX differ when loading images with cv2 and PIL.Image
- Issue#162TruongNoDame2025-03-09 10:29The inference results using ONNX differ when loading images with cv2 and PIL.Image
- Issue comment#112baudm2025-03-02 02:38Retrieving character segmentation results
- Issue comment#112qiubinyang2025-03-01 22:02Retrieving character segmentation results
- Issue comment#159AlanFranklin2582025-01-15 01:13Can't recognize Chinese characters at all?
- Issue#159AlanFranklin2582025-01-10 02:56Can't recognize Chinese characters at all?
- Pull request#34baudm2025-01-04 05:49
- Issue comment#9Tawheed-tariq2025-01-02 12:43Recommendation for training on new language ?
- Pull request#158cgrx2024-12-26 12:11
- Issue#157ir27182024-11-30 21:01Script for the dataset setup
- Issue#156fuzheng12092024-11-17 06:31stops at Validation sanity check
- Issue comment#108GIN-zhao2024-10-26 14:37ONNX and Torch inference outputs are not the same
- Issue comment#134GIN-zhao2024-10-26 13:15ONNX inference issue
- Issue#151ninadchobe2024-10-13 10:02How to test on custom dataset
- Issue comment#97baudm2024-09-07 08:54My val_acc is 99+ but my testing accuracy is around 40%. I do not understand what I am doing wrong.
- Issue comment#97ceyxasm2024-09-07 07:51My val_acc is 99+ but my testing accuracy is around 40%. I do not understand what I am doing wrong.
- Issue comment#97rewolfdliw2024-09-07 07:14My val_acc is 99+ but my testing accuracy is around 40%. I do not understand what I am doing wrong.
- Issue#149rewolfdliw2024-09-02 19:31Multi GPU training issue
- Issue#147preethamp01972024-08-16 04:57Finetune on a trained model
- Issue#146AnanasPizzaMigliore2024-08-08 21:20how to convert to torchscript using script method. using trace method cause the model cannot handle the dynamic input.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 119 stars here means stars gained during the window, not the repo's star count.