Question

部分代码：

label = input_queue[1]
image_contents = tf.read_file(input_queue[0])    
image = tf.image.decode_jpeg(image_contents, channels=3)    
image = tf.image.resize_image_with_crop_or_pad(image, image_W, image_H)

错误：

INFO:tensorflow:Error reported to Coordinator: <class 'tensorflow.python.framework.errors_impl.InvalidArgumentError'>, Invalid JPEG data, size 300
         [[Node: DecodeJpeg_2 = DecodeJpeg[acceptable_fraction=1, channels=3, dct_method="", fancy_upscaling=true, ratio=1, try_recover_truncated=false, _device="/job:localhost/replica:0/task:0/cpu:0"](ReadFile_3)]]

  File "C:/Users/MCRC/made/catdog/training.py", line 97, in <module>
    run_training()

  File "C:/Users/MCRC/made/catdog/training.py", line 60, in run_training
    CAPACITY)

  File "C:\Users\MCRC\made\catdog\input_data.py", line 100, in get_batch
    image = tf.image.decode_jpeg(image_contents, channels=3)

  File "D:\A3\lib\site-packages\tensorflow\python\ops\gen_image_ops.py", line 345, in decode_jpeg
    dct_method=dct_method, name=name)

我在Windows中使用Tensorflow-GPU 1.0和Python3.5。有什么帮助吗？

Answer 1

听起来像图像（或其中一个图像，我无法分辨，因为它取决于input_queue的构造方式）不是有效的JPEG图像（文件内容是300字节）。

我正在训练自己的数据集，我在tf.image.decode_jpeg中得到了InvalidArgumentError

1 个答案: