# we0091234/Chinese_license_plate_detection_recognition

yolov5 车牌检测   车牌识别   中文车牌识别 检测 支持12种中文车牌 支持双层车牌

Repository: https://github.com/we0091234/Chinese_license_plate_detection_recognition
Canonical: https://ross.abutalabs.com/products/chinese_license_plate_detection_recognition
Language: Python
License: GPL-3.0
License Family: copyleft
Topics: deep-learning, pytorch, plate-recognition, yolov5
Last push: 2026-06-05T07:16:27+00:00

## Health v2 (maintenance only)
Score: 71/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 86, release rhythm 35, longevity 100
- inputs: {"age_days": 1448, "days_push": 89, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1868, forks 298 (observed 2026-08-28T04:05:46.432209+00:00)

## What it is
A PyTorch-based Chinese license plate detection and recognition system built on YOLOv5 for detection and CRNN for recognition. It supports 12 types of Chinese license plates, including double-row plates, and offers deployment via ONNX, TensorRT, and OpenVINO.

## Use cases
- detect and read Chinese license plates from images
- recognize license plates in video streams
- support double-row license plate recognition
- deploy plate recognition on Android with NCNN
- train custom plate detection and recognition models
- run plate recognition with ONNX or TensorRT for production

## When to choose
- you need to recognize Chinese license plates including double-layer and special vehicle plates
- you want a ready-to-run PyTorch pipeline with export options to ONNX, TensorRT, or OpenVINO
- you need trainable detection and recognition models for customization

## When to avoid
- you need license plate recognition for non-Chinese plates
- you require a maintained commercial-grade product with support guarantees
- you need a lightweight pure-inference library without training code

## Facets
- artifact type: library
- maturity: active
- function: computer-vision, ocr, image-processing, deep-learning, machine-learning
- domain: computer-vision, image-processing, deep-learning, artificial-intelligence
- platform: python, windows, cross-platform
- tags: license-plate-recognition, yolov5, crnn, chinese-license-plates, object-detection, onnx, tensorrt, openvino, linux, macos

## Member repositories
- we0091234/Chinese_license_plate_detection_recognition (main) score 71

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:46.432209+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 2026-08-30T03:15:16.927137+00:00, confidence not recorded.
  - readme: https://github.com/we0091234/Chinese_license_plate_detection_recognition (fetched 2026-08-28T04:05:46.432209+00:00, sha 11cd2f94626d)
- Data as of 2026-08-30T08:39:29.467469+00:00.