概述
from PIL import Image
import tensorflow as tf
data = Image.open('1-enhanced.png')
...
...
raw_data = data
raw_img = raw_data我收到以下长消息,我不确定如何分析(你对这里发生了什么有任何想法)：
Traceback (most recent call last): File "C:\python35\lib\site-packages\tensorflow\python\framework\op_def_library.py",line 490,in apply_op preferred_dtype=default_dtype) File "C:\python35\lib\site-packages\tensorflow\python\framework\ops.py",line 669,in convert_to_tensor ret = conversion_func(value,dtype=dtype,name=name,as_ref=as_ref) File "C:\python35\lib\site-packages\tensorflow\python\framework\constant_op.py",line 176,in _constant_tensor_conversion_function return constant(v,name=name) File "C:\python35\lib\site-packages\tensorflow\python\framework\constant_op.py",line 165,in constant tensor_util.make_tensor_proto(value,shape=shape,verify_shape=verify_shape)) File "C:\python35\lib\site-packages\tensorflow\python\framework\tensor_util.py",line 376,in make_tensor_proto _GetDenseDimensions(values))) ValueError: Argument must be a dense tensor: <PIL.PngImagePlugin.PngImageFile image mode=L size=150x150 at 0x1E07D3C0AC8> - got shape [150,150],but wanted []. During handling of the above exception,another exception occurred: Traceback (most recent call last): File "conv_visuals.py",line 54,in <module> x = tf.reshape(raw_data,shape=[-1,150,1]) File "C:\python35\lib\site-packages\tensorflow\python\ops\gen_array_ops.py",line 2448,in reshape name=name) File "C:\python35\lib\site-packages\tensorflow\python\framework\op_def_library.py",line 503,in apply_op as_ref=input_arg.is_ref).dtype.name File "C:\python35\lib\site-packages\tensorflow\python\framework\ops.py",but wanted [].
谢谢.
尝试将其转换为numpy数组：
numpy.asarray(Image.open('1-enhanced.png').convert('L'))总结
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