Saturday, April 1, 2017

tensorflow.python.framework.errors_impl.NotFoundError while creating a custom inception

By Hường Hana 1:30 AM , , Leave a Comment

Im using the following code to create a custom inception using tensorflow.

import tensorflow as tf import sys  interesting_class = sys.argv[1:] print("Interesting class: ", interesting_class)  # Read in the image_data  from os import listdir from shutil import copyfile from os.path import isfile, join varPath = 'toScan/' destDir = "scanned/" imgFiles = [f for f in listdir(varPath) if isfile(join(varPath, f))]   # Loads label file, strips off carriage return label_lines = [line.rstrip() for line                     in tf.gfile.GFile("/tf_files/retrained_labels.txt")]  # Unpersists graph from file with tf.gfile.FastGFile("/tf_files/retrained_graph.pb", 'rb') as f:     graph_def = tf.GraphDef()     graph_def.ParseFromString(f.read())     _ = tf.import_graph_def(graph_def, name='')  with tf.Session() as sess:     # Feed the image_data as input to the graph and get first prediction     softmax_tensor = sess.graph.get_tensor_by_name('final_result:0')      file_count = len(imgFiles)     i = 0      for imageFile in imgFiles:         print("File ", i, " of ",  file_count)         i = i+1         image_data =  tf.gfile.FastGFile(varPath+"/"+imageFile, 'rb').read()                 print (varPath+"/"+imageFile)         predictions = sess.run(softmax_tensor, \                  {'DecodeJpeg/contents:0': image_data})          # Sort to show labels of first prediction in order of confidence         top_k = predictions[0].argsort()[-len(predictions[0]):][::-1]         firstElt = top_k[0];          newFileName = label_lines[firstElt] +"--"+ str(predictions[0][firstElt])[2:7]+".jpg"         print(interesting_class, label_lines[firstElt])         if interesting_class == label_lines[firstElt]:             print(newFileName)             copyfile(varPath+"/"+imageFile, destDir+"/"+newFileName)          for node_id in top_k:             human_string = label_lines[node_id]             score = predictions[0][node_id]             print (node_id)             print('%s (score = %.5f)' % (human_string, score))

Im getting the following error while executing this

('Interesting class: ', []) Traceback (most recent call last): File "/Users/Downloads/imagenet_train-master/label_dir.py", line 22, in in tf.gfile.GFile("/tf_files/retrained_labels.txt")] File "/Users/tensorflow/lib/python2.7/site-packages/tensorflow/python/lib/io/file_io.py", line 156, in next retval = self.readline() File "/Users/tensorflow/lib/python2.7/site-packages/tensorflow/python/lib/io/file_io.py", line 123, in readline self._preread_check() File "/Users/tensorflow/lib/python2.7/site-packages/tensorflow/python/lib/io/file_io.py", line 73, in _preread_check compat.as_bytes(self.name), 1024 * 512, status) File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/contextlib.py", line 24, in __exit self.gen.next() File "/Users/tensorflow/lib/python2.7/site-packages/tensorflow/python/framework/errors_impl.py", line 466, in raise_exception_on_not_ok_status pywrap_tensorflow.TF_GetCode(status)) tensorflow.python.framework.errors_impl.NotFoundError: /tf_files/retrained_labels.txt

Why am I getting this error?

Following is my folder structure:

tensorflow_try |- new_pics |  |- class1 |  |- class2 |  |- ... |- toScan |- scanned

1 Answers

Answers 1

The problem comes from this line:

label_lines = [line.rstrip() for line                     in tf.gfile.GFile("/tf_files/retrained_labels.txt")]

Please check:

  1. The existence of the folder tf_files in the root of the file system -- you can run ls /tf_files to check this;
  2. (if item 1 is ok) if you have reading/writing permission on /tf_files/retrained_labels.txt.
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