使用Retrained Model的TensorFlow教程中的名称错误

我正在关注TensorFlow的诗人tutorial。关于使用再训练模型的段落。使用Retrained Model的TensorFlow教程中的名称错误

当我试图运行该教程

python /tf_files/label_image.py /tf_files/flower_photos/daisy/21652746_cc379e0eea_m.jpg

文件label_image.py的代码提供

import tensorflow as tf 

# change this as you see fit 
image_path = sys.argv[1] 

# Read in the image_data 
image_data = tf.gfile.FastGFile(image_path, 'rb').read() 

# 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') 

    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] 

    for node_id in top_k: 
     human_string = label_lines[node_id] 
     score = predictions[0][node_id] 
     print('%s (score = %.5f)' % (human_string, score))

我得到了一个错误的Python文件：

File "/tf_files/label_image.py", line 4, in <module> 
    image_path=sys.argv[1] 
    NameError: name 'sys' is not defined

我做错了什么？或者如何解决它？

来源

2016-09-20 Lucky_girl

你终于搞定了吗？ :) – soprof

@soprof是的，进口系统 - 帮助我！ –

您是否尝试过使用自己的类别/示例进行培训？ – soprof

也许你可以试试import sys？

来源

2016-09-20 11:54:11 noonewin

你是对的，它帮助！ –

使用Retrained Model的TensorFlow教程中的名称错误

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