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https://github.com/we0091234/yolov7_plate

yolov7 车牌检测车牌识别中文车牌识别检测支持双层车牌支持12种中文车牌
https://github.com/we0091234/yolov7_plate

license-plate-recognition yolov7

Last synced: 4 days ago
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yolov7 车牌检测车牌识别中文车牌识别检测支持双层车牌支持12种中文车牌

Host: GitHub
URL: https://github.com/we0091234/yolov7_plate
Owner: we0091234
Created: 2022-10-28T11:52:55.000Z (over 2 years ago)
Default Branch: master
Last Pushed: 2024-07-01T02:16:02.000Z (8 months ago)
Last Synced: 2025-02-09T21:10:01.957Z (11 days ago)
Topics: license-plate-recognition, yolov7
Language: Python
Homepage:
Size: 75.5 MB
Stars: 370
Watchers: 6
Forks: 77
Open Issues: 14
Metadata Files:
- Readme: README.md

Awesome Lists containing this project

awesome-yolo-object-detection - we0091234/yolov7_plate
awesome-yolo-object-detection - we0091234/yolov7_plate

README

# **yolov7车牌识别算法，支持12种中文车牌类型**

**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 双层武警**
**9 使馆车牌**
**10 港澳牌车**
**11 双层农用车牌**
**12 民航车牌**

**测试demo:**
以yolov7-lite-s 为例:

```
python detect_rec_plate.py --detect_model weights/yolov7-lite-s.pt --rec_model weights/plate_rec.pth --source imgs --output result
```

测试文件夹imgs，结果保存再 result 文件夹中

## **车牌检测训练**

1. 下载数据集：联系本人获取联系方式最下面数据从CCPD和CRPD数据集中选取并转换的
数据集格式为yolo格式：

```
label x y w h pt1x pt1y pt2x pt2y pt3x pt3y pt4x pt4y
```

关键点依次是（左上，右上，右下，左下）
坐标都是经过归一化，x,y是中心点除以图片宽高，w,h是框的宽高除以图片宽高，ptx，pty是关键点坐标除以宽高
2. 修改 data/plate.yaml train和val路径,换成你的数据路径

```
train: /your/train/path #修改成你的路径
val: /your/val/path #修改成你的路径
# number of classes
nc: 2 #这里用的是2分类，0 单层车牌 1 双层车牌

# class names
names: [ 'single','double']

```
3. 训练
以yolov7-lite-s 为例:

```
python train.py --batch-size 32 --data data/plate.yaml --img 640 640 --cfg cfg/yolov7-lite-s.yaml --weights weights/yolov7-lite-s.pt --name yolov7 --hyp data/hyp.face.yaml
```

结果存在run文件夹中

## **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：

![Image ](data/images/demo.jpg)

## 部署

* [onnx导出与推理](https://github.com/we0091234/yolov7_plate/tree/master/onnx)
* [tensorrt推理](https://github.com/we0091234/yolov7_plate/tree/master/tensorrt)
* [NCNN推理](https://github.com/we0091234/NCNN_SAMPLE/tree/master/ncnn_plate_v7)

## References

* [https://github.com/derronqi/yolov7-face](https://github.com/derronqi/yolov7-face)
* [https://github.com/qinggangwu/yolov7-pose_Npoint_Ncla](https://github.com/qinggangwu/yolov7-pose_Npoint_Ncla)
* [https://github.com/WongKinYiu/yolov7](https://github.com/WongKinYiu/yolov7)
* [https://github.com/TexasInstruments/edgeai-yolov5/tree/yolo-pose](https://github.com/TexasInstruments/edgeai-yolov5/tree/yolo-pose)
* [https://github.com/WongKinYiu/yolov7/tree/pose](https://github.com/WongKinYiu/yolov7/tree/pose)

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