tensorflow.python.framework.errors_impl.NotFoundErrorカスタム入力を作成中

Question

次のコードを使用して、テンソルフローを使用してカスタム開始を作成します。なぜ私はこのエラーを取得しています。この

('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

を実行しながら

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)) 

イムは、次のエラーを取得しますか？続き

は私のフォルダ構造です：

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

Answer 1

問題は、この行から来ている：

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

確認してください：

1. のルートにフォルダtf_filesの存在をファイルシステム - ls /tf_filesを実行してこれを確認できます。
2. （アイテム1がokの場合）/tf_files/retrained_labels.txtに読み取り/書き込み権限がある場合。