duanshengliu/End-to-end-for-chinese-plate-recognition
基于u-net,cv2以及cnn的中文车牌定位,矫正和端到端识别软件,其中unet和cv2用于车牌定位和矫正,cnn进行车牌识别,unet和cnn都是基于tensorflow的keras实现
PythonApache-2.0
Issues
- 1
Enhancement of Plate Recognition Accuracy under Varied Illumination Conditions
#26 opened by yihong1120 - 2
关于U-net训练
#25 opened by crownlaurel - 1
cnn前做灰度化或二值化是否效果更好?
#8 opened by deeyi2000 - 2
- 12
报错ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type numpy.ndarray)
#21 opened by yyamx - 12
关于制作自己数据集训练的相关问题?
#18 opened by Hezhexi2002 - 6
请问支持绿牌和黄牌吗?
#11 opened by Mrzhaopy - 3
cnn.h5是否失效了,打不开?
#9 opened by hongweiwork - 2
cudnn和cuda版本是多少?
#10 opened by Mrzhaopy - 0
车牌识别商用级别数据集
#23 opened by daijie1223 - 7
- 0
您好我在训练数据的时候出现这个错误
#22 opened by WangYan-collb - 0
大佬想请教一下你是如何进行数据增强的呢
#20 opened by fight-hawk123 - 0
- 1
有几个小问题想请教一下,可以给个qq详聊吗?
#14 opened by Carvado - 0
能否共享下识别的数据集
#7 opened by iwanggp - 1
小数据集下识别训练后无法识别车牌区域
#6 opened by Yangandmore - 0
数据集可否提供一下呢
#5 opened by shanhedian2017 - 0
训练过程中需要验证集吗?
#4 opened by willzoe - 0
- 3