我正在提取可能与我遇到的问题相关的代码的一些部分：
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.
解决方法
只是发布评论,因为它似乎解决了问题：
尝试将其转换为numpy数组：
numpy.asarray(Image.open('1-enhanced.png').convert('L'))