无法保存tensorflow图像文件

我需要调整到特定尺寸的图像，并将其保存到文件，所以我选择了tf.image.resize_image_with_crop_or_pad功能：无法保存tensorflow图像文件

import tensorflow as tf 

image_decoded = tf.image.decode_jpeg(tf.read_file('1.jpg'), channels=3) 
cropped  = tf.image.resize_image_with_crop_or_pad(image_decoded, 200, 200) 
tf.write_file('2.jpg', cropped)

失败与错误：

Traceback (most recent call last): 
    File "/home/test/anaconda3/lib/python3.5/site-packages/tensorflow/python/framework/op_def_library.py", line 490, in apply_op 
    preferred_dtype=default_dtype) 
    File "/home/test/anaconda3/lib/python3.5/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 "/home/test/anaconda3/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 583, in _TensorTensorConversionFunction 
    % (dtype.name, t.dtype.name, str(t))) 
ValueError: Tensor conversion requested dtype string for Tensor with dtype uint8: 'Tensor("control_dependency_3:0", shape=(200, 200, 3), dtype=uint8)' 

During handling of the above exception, another exception occurred: 

Traceback (most recent call last): 
    File "train.py", line 15, in <module> 
    tf.write_file('2.jpg', cropped) 
    File "/home/test/anaconda3/lib/python3.5/site-packages/tensorflow/python/ops/gen_io_ops.py", line 694, in write_file 
    contents=contents, name=name) 
    File "/home/test/anaconda3/lib/python3.5/site-packages/tensorflow/python/framework/op_def_library.py", line 508, in apply_op 
    (prefix, dtypes.as_dtype(input_arg.type).name)) 
TypeError: Input 'contents' of 'WriteFile' Op has type uint8 that does not match expected type of string.

我试着张量转换为使用tf.as_string（）字符串，但与崩溃：

TypeError: DataType uint8 for attr 'T' not in list of allowed values: int32, int64, complex64, float32, float64, bool, int8

我用Tensorflow v0.12.0-RC0对Linux Mint的

来源

2017-02-12 James May

我不确定该函数是否存在。它不在图片大小调整页面，而是类似的[在这里]（https://www.tensorflow.org/api_docs/python/image/cropping）。 –

如果您发现我的答案有用，请接受它 – yuval

您首先需要将图像从张量编码为JPEG，然后将其保存。此外，您应该执行会话以评估您的代码：

import tensorflow as tf 

image_decoded = tf.image.decode_jpeg(tf.read_file('1.jpg'), channels=3) 
cropped  = tf.image.resize_image_with_crop_or_pad(image_decoded, 200, 200) 
enc = tf.image.encode_jpeg(cropped) 
fname = tf.constant('2.jpg') 
fwrite = tf.write_file(fname, enc) 

sess = tf.Session() 
result = sess.run(fwrite)

来源

2017-02-12 21:30:58 yuval

非常感谢！ –

无法保存tensorflow图像文件

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