Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
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
| Date | Stars |
|---|---|
| 2026-07-24 | 1858 |
| 2026-07-25 | 1858 |
| 2026-07-28 | 1858 |
| 2026-07-30 | 1858 |
| 2026-08-06 | 1858 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
## What's New **2026.02.13 yolo26车牌检测识别[YOLO26-plate](https://github.com/we0091234/yolo26-plate)** **2022.12.04 车辆和车牌一起检测看这里[车辆系统](https://github.com/we0091234/Car_recognition)** [yolov8 车牌检测+识别](https://github.com/we0091234/yolov8-plate) [yolov7 车牌检测+识别](https://github.com/we0091234/yolov7_plate) [安卓NCNN](https://github.com/Ayers-github/Chinese-License-Plate-Recognition) ## 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](https://pan.baidu.com/s/1O1sT8hCEwJZmVScDwBHgOg) 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](https://github.com/we0091234/Chinese_license_plate_detection_recognition/tree/main/readme) ## **车牌识别训练** 车牌识别训练链接如下： [车牌识别训练](https://github.com/we0091234/crnn_plate_recognition) #### **支持如下：** - [X] 1.单行蓝牌 - [X] 2.单行黄牌 - [X] 3.新能源车牌 - [X] 4.白色警用车牌 - [X] 5.教练车牌 - [X] 6.武警车牌 - [X] 7.双层黄牌 - [X] 8.双层白牌 - [X] 9.使馆车牌 - [X] 10.港澳粤Z牌 - [X] 11.双层绿牌 - [X] 12.民航车牌  ## 部署 1.[安卓NCNN](https://github.com/Ayers-github/Chinese-License-Plate-Recognition) 2.**onnx demo** 百度网盘： [k874](https://pan.baidu.com/s/1K3L3xubd6pXIreAydvUm4g) ``` 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](https://github.com/we0091234/chinese_plate_tensorrt) 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 * [https://github.com/deepcam-cn/yolov5-face](https://github.com/deepcam-cn/yolov5-face) * [https://github.com/Sierkinhane/CRNN_Chinese_Characters_Rec](https://github.com/Sierkinhane/CRNN_Chinese_Characters_Rec) ## More **qq群:769809695（三群新开） 871797331(已满) 837982567（二群已满） 询问**
Excerpt of 2,335 characters
Read on GitHub
106
3
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:5297eca1b6d52bc5, topic:deep-learning, topic:pytorch