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View Code? Open in Web Editor NEW基于CNN的验证码整体识别
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fit error help
model = Sequential()
model.add(Conv2D(32, kernel_size=(5, 9),
activation='relu', input_shape=input_shape))
model.add(MaxPooling2D(pool_size=(2, 4)))
model.add(Conv2D(16, kernel_size=(5, 7), activation='relu'))
model.add(MaxPooling2D(pool_size=(2, 3)))
model.add(Flatten())
#num_classes*4 =104
model.add(Dense(num_classes*4, activation='sigmoid'))
model.compile(loss=keras.losses.binary_crossentropy,
optimizer=keras.optimizers.Adadelta(),
metrics=['accuracy'])
model.fit(x_train, y_train,
batch_size=batch_size,
epochs=epochs,
verbose=1,
validation_data=(x_test, y_test))
ValueError: Error when checking target: expected dense_1 to have shape (104,) but got array with shape (26,)
why？ help me~~~~thks~
4-6个字符能用一个模型实现吗？
你好，你的模型我成功复制了，4个字符，6个字符单独测试都识别率很高，有没有办法一个模型既支持4个字符又支持6个字符。
验证码重叠
write labels err
writer.writerows(labels)
TypeError: a bytes-like object is required, not 'str'
numpy.core._internal.AxisError: axis 1 is out of bounds for array of dimension 1
按照你上面的代码运行发现报这个错误，查了下说明超出了范围，不大理解为什么连接相加的时候出错了，谢谢告知
numpy.core._internal.AxisError: axis 1 is out of bounds for array of dimension 1
装好依赖，生成图片后，直接运行，报如下错误
picnum : 6000
6000 (20, 80)
6000 4
Traceback (most recent call last):
File "cnn_end2end_ocr.py", line 76, in
c = np.concatenate((c0,c1,c2,c3),axis=1)
numpy.core._internal.AxisError: axis 1 is out of bounds for array of dimension 1
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