ValueError异常：参数必须是一个密集的张量 - Python和TensorFlow

我提取我的代码的某些部分可能是相关的，我遇到的问题：ValueError异常：参数必须是一个密集的张量 - Python和TensorFlow

from PIL import Image 
import tensorflow as tf 

data = Image.open('1-enhanced.png') 
... 
... 
raw_data = data 
raw_img = raw_data

我得到下面的长消息，我不知道如何分析（你对这里发生了什么有什么想法）：

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, dtype=dtype, name=name) 
    File "C:\Python35\lib\site-packages\tensorflow\python\framework\constant_op.py", line 165, in constant 
    tensor_util.make_tensor_proto(value, dtype=dtype, 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=[-1,150,150,1]) 
    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", 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, dtype=dtype, name=name) 
    File "C:\Python35\lib\site-packages\tensorflow\python\framework\constant_op.py", line 165, in constant 
    tensor_util.make_tensor_proto(value, dtype=dtype, 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 [].

谢谢。

来源

2017-03-16 Simplicity

只是一个猜测：将其转换为numpy的数组：'numpy.asarray （Image.open（ '1-enhanced.png'）。将（ 'L'））'。然后尝试解决它？ – Dair

非常感谢您的评论。是的，我认为这消除了错误。虽然我有另一个错误，但似乎与此无关。 – Simplicity

只是发表评论，因为它似乎已经解决了这个问题：

尝试将其转换为numpy的数组：

numpy.asarray(Image.open('1-enhanced.png').convert('L'))

来源

2017-03-16 19:27:57 Dair

ValueError异常：参数必须是一个密集的张量 - Python和TensorFlow

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