Skip to content

L
License Plate Detect Recognition Via Deep Neural Networks Accuracy Up To 99.9

FrankJule / License Plate Detect Recognition Via Deep Neural Networks Accuracy Up To 99.9

通知 2
Star 0
Fork 0
L
License Plate Detect Recognition Via Deep Neural Networks Accuracy Up To 99.9

前往新版Gitcode，体验更适合开发者的 AI 搜索 >>

未验证 提交 c151f910 编写于 作者: 朱 朱本福 提交者： GitHub
浏览文件
操作

Update README.md

上级 2a88ebd3
隐藏空白更改
内联 并排
Showing with 2 addition and 2 deletion
README.md
浏览文件 @ c151f910
......@@ -10,8 +10,8 @@ works in real-time with detection and recognition accuracy up to 99.8% for Chine
| ------------- | ------------- | ------------- |
| haar+cascade | haar+cascade | 切割出单个字符通过cnn识别 |
| mtcnn | 图像处理 | lstm+ctc |
| 图像处理 | | fcn全卷机网络带单个字符定位 |
| 图像处理：跳变点 | | fcn全卷机网络带单个字符定位 |
| YOLO | | |
一、整个大车牌检测基于haar+cascade的检测或者mtcnn的检测，
......
Markdown is supported
0% 或 .
You are about to add 0 people to the discussion. Proceed with caution.
先完成此消息的编辑！
想要评论请 注册 或