This project forked from airxiechao/simple-car-plate-recognition-2
简易车牌字符识别2-Inception/CTC
简易车牌字符识别2-Inception/CTC。
在simple-car-plate-recognition中，车牌定位后，字符识别是通过分割+单字识别方式进行。但是因为分割结果很不稳定，识别效果差。这次，参考HyperLPR里面的一个叫SegmenationFree-Inception的模型结构，用pytorch实现并训练一个直接用整张车牌图片进行字符识别。
利用derek285/generateCarPlate这个车牌生成工具，稍微修改一下，生成训练用的车牌图片。修改后的代码在generateCarPlate文件夹，切换到这个文件夹，运行python genCarPlate.py 100 生成图片，图片在gen_res里面。用同样方法，再生成测试用的车牌图片，放在gen_res_val里面。
模型结构、训练方法、测试结果都在model.ipynb
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