I want to make a generic input images with labels in tensorflow. I checked the question Tensorflow read images with labels and write my test code, but there are some errors.
import tensorflow as tf
from tensorflow.python.framework import ops
from tensorflow.python.framework import dtypes
txtfilename = '/home/kang/Documents/work_code_PC1/data/UCLandUsedImages/UCImage_Labels.txt'
def read_labeled_image_list(image_list_file):
"""Reads a .txt file containing pathes and labeles
Args:
image_list_file: a .txt file with one /path/to/image per line
label: optionally, if set label will be pasted after each line
Returns:
List with all filenames in file image_list_file
"""
f = open(image_list_file, 'r')
filenames = []
labels = []
for line in f:
filename, label = line[:-1].split(' ')
filenames.append(filename)
labels.append(int(label))
return filenames, labels
def read_images_from_disk(input_queue):
"""Consumes a single filename and label as a ' '-delimited string.
Args:
filename_and_label_tensor: A scalar string tensor.
Returns:
Two tensors: the decoded image, and the string label.
"""
label = input_queue[1]
file_contents = tf.read_file(input_queue[0])
example = tf.image.decode_png(file_contents, channels=3)
return example, label
# Reads pfathes of images together with their labels
image_list, label_list = read_labeled_image_list(txtfilename)
images = ops.convert_to_tensor(image_list, dtype=dtypes.string)
labels = ops.convert_to_tensor(label_list, dtype=dtypes.int32)
# Makes an input queue
input_queue = tf.train.slice_input_producer([images, labels],
shuffle=True)
with tf.Session() as sess:
result = sess.run([input_queue])
I want to run the session and have a look at the input_queue, but I got the following error:
File "<ipython-input-3-ddf11f8f84bc>", line 1, in <module>
runfile('/home/kang/Documents/work_code_PC1/VGG_tensorflow_UCMerced/readUClandUsedImagetxt.py', wdir='/home/kang/Documents/work_code_PC1/VGG_tensorflow_UCMerced')
File "/usr/local/lib/python2.7/dist-packages/spyderlib/widgets/externalshell/sitecustomize.py", line 714, in runfile
execfile(filename, namespace)
File "/usr/local/lib/python2.7/dist-packages/spyderlib/widgets/externalshell/sitecustomize.py", line 81, in execfile
builtins.execfile(filename, *where)
File "/home/kang/Documents/work_code_PC1/VGG_tensorflow_UCMerced/readUClandUsedImagetxt.py", line 69, in <module>
result = sess.run([input_queue])
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 340, in run
run_metadata_ptr)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 523, in _run
processed_fetches = self._process_fetches(fetches)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 493, in _process_fetches
% (subfetch, fetch, type(subfetch), str(e)))
TypeError: Fetch argument [<tf.Tensor 'input_producer_2/Gather:0' shape=() dtype=string>, <tf.Tensor 'input_producer_2/Gather_1:0' shape=() dtype=int32>] of [<tf.Tensor 'input_producer_2/Gather:0' shape=() dtype=string>, <tf.Tensor 'input_producer_2/Gather_1:0' shape=() dtype=int32>] has invalid type <type 'list'>, must be a string or Tensor. (Can not convert a list into a Tensor or Operation.)
I checked the value of image_list, label_list, the outputs are right, so what is the problem here? Thank you very much.
