我正在关注https://www.kaggle.com/freeman89/dogs-vs-cats-redux-kernels-edition/create-dataset-with-tensorflow
问题在于 tf.image.resize_image_with_crop_or_pad
resize_func = lambda image: tf.image.resize_image_with_crop_or_pad(image, HEIGHT, WIDTH)
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-12-907e45393ea9> in <module>()
----> 1 processed_train_images = decode_image(train_image_file_names, resize_func=resize_func)
2 processed_test_images = decode_image(test_image_file_names, resize_func=resize_func)
<ipython-input-4-bd49dae09433> in decode_image(image_file_names, resize_func)
12 image = tf.image.decode_jpeg(file)
13 if resize_func != None:
---> 14 image = resize_func(image)
15
16 with tf.Session(graph=graph) as session:
<ipython-input-11-a8bf1ee259c1> in <lambda>(image)
1 WIDTH=500
2 HEIGHT=500
----> 3 resize_func = lambda image: tf.image.resize_image_with_crop_or_pad(image, HEIGHT, WIDTH)
//anaconda/lib/python2.7/site-packages/tensorflow/python/ops/image_ops.pyc in resize_image_with_crop_or_pad(image, target_height, target_width)
532 """
533 image = ops.convert_to_tensor(image, name='image')
--> 534 _Check3DImage(image, require_static=True)
535 original_height, original_width, _ = _ImageDimensions(image)
536
//anaconda/lib/python2.7/site-packages/tensorflow/python/ops/image_ops.pyc in _Check3DImage(image, require_static)
219 raise ValueError('\'image\' must be three-dimensional.')
220 if require_static and not image_shape.is_fully_defined():
--> 221 raise ValueError('\'image\' must be fully defined.')
222 if any(x == 0 for x in image_shape):
223 raise ValueError('all dims of \'image.shape\' must be > 0: %s' %
ValueError: 'image' must be fully defined.
参考：Why do I get ValueError('\'image\' must be fully defined.') when transforming image in Tensorflow?
答案 0 :(得分：-1)
你可以使用tf.map_fn（）来解决这个问题