# Sierkinhane/CRNN_Chinese_Characters_Rec

(CRNN) Chinese Characters Recognition.

Repository: https://github.com/Sierkinhane/CRNN_Chinese_Characters_Rec
Canonical: https://ross.abutalabs.com/products/crnn_chinese_characters_rec
Language: Python
License Family: other
Topics: deep-learning, ocr, recognition, pytorch
Last push: 2022-11-13T07:20:34+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2898, "days_push": 1389, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1875, forks 533 (observed 2026-08-28T04:05:47.428854+00:00)

## What it is
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
- artifact type: library
- maturity: maintenance
- function: ocr, deep-learning, image-processing, machine-learning
- domain: computer-vision, deep-learning, image-processing
- platform: python, windows
- tags: crnn, chinese-characters, pytorch, text-recognition, ctc-loss, natural-language-processing, linux, gpu

## Member repositories
- Sierkinhane/CRNN_Chinese_Characters_Rec (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:47.428854+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:14:45.432182+00:00, confidence not recorded.
  - readme: https://github.com/Sierkinhane/CRNN_Chinese_Characters_Rec (fetched 2026-08-28T04:05:47.428854+00:00, sha e101d9840068)
- Data as of 2026-08-30T08:39:29.467469+00:00.