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we0091234/Chinese_license_plate_detection_recognition

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we0091234/Chinese_license_plate_detection_recognition has 1,894 GitHub stars and 300 forks. GitHot measured -1 stars in 24 hours and -1 in 7 days. Last checked 2026-11-13 07:48 UTC. Last push 2026-06-05.

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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

1,894 stars300 forks

Measured star growth

in 24h
-1
in 7 days
-1
in 15 days
Collecting history
in 1 month
Collecting history

Net star changes over overlapping periods, not daily totals. Missing measurements are left blank. Stars measure attention, not software quality.

README.md

Original

What's New

2026.02.13 yolo26车牌检测识别YOLO26-plate

2022.12.04 车辆和车牌一起检测看这里车辆系统

yolov8 车牌检测+识别

yolov7 车牌检测+识别

安卓NCNN

联系

模型用的是公开数据集训练出来的，需要准确率更高的模型，或者商务合作请加V

可代做学生毕设，以及课设大作业等

wechat: we0091234 （注明来意）

最全车牌识别算法，支持12种中文车牌类型

环境要求: python >=3.6 pytorch >=1.7

图片测试demo:

直接运行detect_plate.py 或者运行如下命令行：

python detect_plate.py --detect_model weights/plate_detect.pt  --rec_model weights/plate_rec_color.pth --image_path imgs --output result

测试文件夹imgs，结果保存再 result 文件夹中

视频测试demo 2.MP4 提取码：41aq

python detect_plate.py --detect_model weights/plate_detect.pt  --rec_model weights/plate_rec_color.pth --video 2.mp4

视频文件为2.mp4 保存为result.mp4

车牌检测训练

车牌检测训练链接如下：

车牌检测训练

车牌识别训练

车牌识别训练链接如下：

车牌识别训练

支持如下：

  • 1.单行蓝牌
  • 2.单行黄牌
  • 3.新能源车牌
  • 4.白色警用车牌
  • 5.教练车牌
  • 6.武警车牌
  • 7.双层黄牌
  • 8.双层白牌
  • 9.使馆车牌
  • 10.港澳粤Z牌
  • 11.双层绿牌
  • 12.民航车牌

Image

部署

1.安卓NCNN

2.onnx demo 百度网盘： k874

python onnx_infer.py --detect_model weights/plate_detect.onnx  --rec_model weights/plate_rec_color.onnx  --image_path imgs --output result_onnx

3.tensorrt 部署见tensorrt_plate

4.openvino demo 版本2022.2

 python openvino_infer.py --detect_model weights/plate_detect.onnx --rec_model weights/plate_rec.onnx --image_path imgs --output result_openvino

References

More

qq群:769809695（三群新开） 871797331(已满) 837982567（二群已满） 询问

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