TensorFlow:ValueError: 'images' 不包含任何形状 [英] TensorFlow:ValueError: 'images' contains no shape

问题描述

我使用 TensorFlow 函数 tf.image.resize_images 来调整我的图像大小，但我在代码中遇到了这个错误:ValueError: 'images' 不包含任何形状.完整代码如下:

I used TensorFlow function tf.image.resize_images to resize my image, but I got this Error in Code: ValueError: 'images' contains no shape. The full code is below:

# -*- coding: utf-8 -*-
import tensorflow as tf
file = ["./1.jpg"]
f = tf.train.string_input_producer(file)
reader = tf.WholeFileReader()
key, img = reader.read(f)

img = tf.image.decode_image(img)
# img.set_shape([218,178,3])
img = tf.image.resize_images(img, [64,64])

coord = tf.train.Coordinator()    
with tf.Session() as sess:
    tf.train.start_queue_runners(coord=coord)
    image = sess.run(img)

完整的错误信息是

Traceback (most recent call last):
  File "image_read_test.py", line 10, in <module>
    img = tf.image.resize_images(img, [64,64])
  File "C:\Python35\lib\site-packages\tensorflow\python\ops\image_ops_impl.py", line 724, in resize_images
    raise ValueError('\'images\' contains no shape.')
ValueError: 'images' contains no shape.

然后我尝试解决这个问题，但只能找到类似的方法

Then I try to fix this, but only find a way like that

# -*- coding: utf-8 -*-
    import tensorflow as tf
    file = ["./1.jpg"]
    f = tf.train.string_input_producer(file)
    reader = tf.WholeFileReader()
    key, img = reader.read(f)

    img = tf.image.decode_image(img)
    # img.set_shape([218,178])
    # img = tf.image.resize_images(img, [64,64])

    coord = tf.train.Coordinator()    
    with tf.Session() as sess:
        tf.train.start_queue_runners(coord=coord)
        image = sess.run(img)
        image = tf.image.resize_images(image, [64,64])

只有这样函数才能很好的工作，但是不知道为什么?函数 tf.image.resize_images 是否只将 numpy 数组作为参数?或者我可以找到另一种方法来解决这个问题?注意:img.set_shape([218,78,3]) 对我不起作用

Only in this way the function can work well, But I don't know why? Is the function tf.image.resize_images only take the numpy array as parameter? Or I can find another way to solve this problem? NB: img.set_shape([218,78,3]) does not work for me

推荐答案

我最近遇到了这个问题，

I faced this issue recently,

tf.image.decode_image() 

不返回带形状的张量，但我的图像都是 jpeg 格式.

doesn't return tensor with shape, but my images were all in jpeg format.

所以我用了

 tf.image.decode_jpeg() 

它返回具有形状的张量并解决了问题.请注意，还有 tf.image.decode_png().

it returns tensor with the shape and that solved the problem. Note there is tf.image.decode_png() too.

可以在此处找到更多信息Tensorflow tf.image.decode_jpeg 文档

More info can be found here Tensorflow tf.image.decode_jpeg documentation

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