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README.md
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README.md
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# 车牌识别
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# 车[牌]()识别
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中文车牌识别系统基于crnn 车牌检测看这里[车牌检测](https://github.com/we0091234/Chinese_license_plate_detection_recognition)
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| 模型 | 准确率 | 速度(ms) | 模型大小(MB) | link |
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| ------ | ------ | -------- | ------------ | ---------------------------------------------------- |
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| small | 96.82% | 1.2ms | 0.67 | [ezhe](https://pan.baidu.com/s/1IsQNPSRuW7bXNWc2ULfFLg) |
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| medium | 98.21% | 1.5ms | 2.5 | [foxg](https://pan.baidu.com/s/1DSoJ-wWymDemf5lE2xCNLw) |
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| big | 98.46% | 1.6ms | 7.3 | [ssmx](https://pan.baidu.com/s/1F6Y0AUVnIt4YYWLE4gDrIw) |
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训练的时候 选择相应的cfg 即可选择模型的大小
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train.py
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```
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# construct face related neural networks
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#cfg =[8,8,16,16,'M',32,32,'M',48,48,'M',64,128] #medium model
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# cfg =[16,16,32,32,'M',64,64,'M',96,96,'M',128,256]#medium model
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cfg =[32,32,64,64,'M',128,128,'M',196,196,'M',256,256] #big model
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model = myNet_ocr(num_classes=len(plate_chr),cfg=cfg)
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```
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## 环境配置
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1. WIN 10 or Ubuntu 16.04
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@@ -147,4 +165,4 @@ src_path 是数据路径, dst_path是保存的数据路径
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#### 联系
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**有问题可以提issues 或者加qq群:871797331 询问**
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**有问题可以提issues 或者加qq群:871797331 询问**
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train.py
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train.py
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}
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# construct face related neural networks
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# cfg =[32,'M',64,'M',128,'M',256] #small model
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#cfg =[8,8,16,16,'M',32,32,'M',48,48,'M',64,128] #medium model
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# cfg =[16,16,32,32,'M',64,64,'M',96,96,'M',128,256]#medium model
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cfg =[32,32,64,64,'M',128,128,'M',196,196,'M',256,256] #big model
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# model = crnn.get_crnn(config,cfg=cfg)
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