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Multi-line license plate recognition
Can you explain to me each element in label file?
Hi, can you provide the multi-line recognition code?
Thank you for your great work.
I wonder when you will submit the method of creating the double line plate.
Can you update code for multi line ?
如题,代码中好像没有设置学习率呢?
用作者的模型推理pp_train.npy,输出为空。去推理单张自己的图片也为空,推理单张图片如下。请问作者有测试过准确率吗?
img = cv2.imread('~/plate_data/color/PLT_YELLOW/PLT_YELLOW_苏AB2970.jpg')
img_pred = img.astype(np.float32)
img_pred = cv2.resize(img_pred, (96, 64))
img_pred = np.expand_dims(img_pred, axis=0)
img_pred = img_pred.transpose(0,2,1,3)
y_pred = base_model.predict(img_pred,batch_size=1)
shape = y_pred[:, :, :].shape
print(shape)
out = K.get_value(K.ctc_decode(y_pred[:,:,:],input_length=np.ones(shape[0])*shape[1])[0][0])[:,:7]
print(out[0])
in the test function :
y_pred = base_model.predict(data) #print(y_pred) shape = y_pred[:, :, :].shape out = K.get_value(K.ctc_decode(y_pred[:,:,:],input_length=np.ones(shape[0])*shape[1])[0][0])[:, :7] print(out)
out is []
don't know why?
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