Sierkinhane/CRNN_Chinese_Characters_Rec
(CRNN) Chinese Characters Recognition. observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2898
- days_rel: n/a
- days_push: 1389
- n_releases_24m: 0
Adoption not part of the score
1875 stars · 533 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A PyTorch implementation of a CRNN (convolutional recurrent neural network) model for recognizing Chinese characters in images. It includes training scripts, configuration files, and pretrained checkpoints for Chinese text recognition.
Use cases
- recognize chinese text in images
- train an ocr model for chinese characters
- run crnn text recognition on a photo
- fine-tune a chinese character recognition model on my own dataset
- extract text from chinese screenshots
When to choose
- you need to recognize Chinese characters specifically
- you want a trainable PyTorch OCR model you can fine-tune on custom data
- you want a simple, well-known CRNN baseline for scene text recognition
When to avoid
- you need production-ready OCR with active maintenance and a license
- you need multi-language or Latin-script OCR out of the box
- you need a packaged CLI or API rather than research code
Facets
library · maturity maintenance
ocr deep-learning image-processing machine-learning computer-vision deep-learning image-processing python windows crnn chinese-characters pytorch text-recognition ctc-loss natural-language-processing linux gpu
1 source
- readme: https://github.com/Sierkinhane/CRNN_Chinese_Characters_Rec · fetched 2026-08-28 · e101d9840068
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Sierkinhane/CRNN_Chinese_Characters_Rec | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="Sierkinhane/CRNN_Chinese_Characters_Rec")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem