Using TensorFlow backend.
WARNING:tensorflow:From G:\Program Files\Python\lib\site-packages\tensorflow\python\framework\op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
Instructions for updating:
Colocations handled automatically by placer.
WARNING:tensorflow:From G:\Program Files\Python\lib\site-packages\keras\backend\tensorflow_backend.py:3445: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version.
Instructions for updating:
Please use rate instead of keep_prob. Rate should be set to rate = 1 - keep_prob.

Layer (type) Output Shape Param # Connected to

input_1 (InputLayer) (None, 22, 50, 3) 0

conv2d_1 (Conv2D) (None, 22, 50, 32) 896 input_1[0][0]

conv2d_2 (Conv2D) (None, 22, 50, 32) 9248 conv2d_1[0][0]

max_pooling2d_1 (MaxPooling2D) (None, 11, 25, 32) 0 conv2d_2[0][0]

conv2d_3 (Conv2D) (None, 11, 25, 64) 18496 max_pooling2d_1[0][0]

conv2d_4 (Conv2D) (None, 11, 25, 64) 36928 conv2d_3[0][0]

max_pooling2d_2 (MaxPooling2D) (None, 5, 12, 64) 0 conv2d_4[0][0]

conv2d_5 (Conv2D) (None, 5, 12, 128) 73856 max_pooling2d_2[0][0]

conv2d_6 (Conv2D) (None, 5, 12, 128) 147584 conv2d_5[0][0]

max_pooling2d_3 (MaxPooling2D) (None, 2, 6, 128) 0 conv2d_6[0][0]

conv2d_7 (Conv2D) (None, 2, 6, 256) 295168 max_pooling2d_3[0][0]

conv2d_8 (Conv2D) (None, 2, 6, 256) 590080 conv2d_7[0][0]

max_pooling2d_4 (MaxPooling2D) (None, 1, 3, 256) 0 conv2d_8[0][0]

flatten_1 (Flatten) (None, 768) 0 max_pooling2d_4[0][0]

dropout_1 (Dropout) (None, 768) 0 flatten_1[0][0]

c1 (Dense) (None, 10) 7690 dropout_1[0][0]

c2 (Dense) (None, 10) 7690 dropout_1[0][0]

c3 (Dense) (None, 10) 7690 dropout_1[0][0]

c4 (Dense) (None, 10) 7690 dropout_1[0][0]

Total params: 1,203,016
Trainable params: 1,203,016
Non-trainable params: 0

WARNING:tensorflow:From G:\Program Files\Python\lib\site-packages\tensorflow\python\ops\math_ops.py:3066: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.cast instead.
Epoch 1/5
Traceback (most recent call last):
File "G:/Learn Files/Python/CAPTCHA-Recognizition-master/captcha_tagging/keras_model_training.py", line 64, in
validation_steps=10 # 用10組資料來驗證
File "G:\Program Files\Python\lib\site-packages\keras\legacy\interfaces.py", line 91, in wrapper
return func(*args, **kwargs)
File "G:\Program Files\Python\lib\site-packages\keras\engine\training.py", line 1418, in fit_generator
initial_epoch=initial_epoch)
File "G:\Program Files\Python\lib\site-packages\keras\engine\training_generator.py", line 181, in fit_generator
generator_output = next(output_generator)
File "G:\Program Files\Python\lib\site-packages\keras\utils\data_utils.py", line 709, in get
six.reraise(*sys.exc_info())
File "G:\Program Files\Python\lib\site-packages\six.py", line 693, in reraise
raise value
File "G:\Program Files\Python\lib\site-packages\keras\utils\data_utils.py", line 685, in get
inputs = self.queue.get(block=True).get()
File "G:\Program Files\Python\lib\multiprocessing\pool.py", line 657, in get
raise self._value
File "G:\Program Files\Python\lib\multiprocessing\pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "G:\Program Files\Python\lib\site-packages\keras\utils\data_utils.py", line 626, in next_sample
return six.next(_SHARED_SEQUENCES[uid])
File "G:/Learn Files/Python/CAPTCHA-Recognizition-master/captcha_tagging/keras_model_training.py", line 21, in gen
X[i] = imagePixel
ValueError: could not broadcast input array from shape (20,60,3) into shape (22,50,3)

进程已结束,退出代码1