:tensorflow:报告给协调器的错误:<class'tensorflow.python.framework.errors\u impl.invalidargumenterror'>

我想用cnn对一些图片进行分类,但是当我运行代码时,它会在运行一段时间后报告错误

我检查过我的图片处理正确,但我不知道为什么总是出现错误,请帮助我!!!!

看来,我可以运行代码一段时间,但很快它报告错误:

Step 0,train loss = 2.77,train accuracy = 0.00
Step 50,train loss = 2.77,train accuracy = 0.00
Step 100,train loss = 2.65,train accuracy = 0.07
Step 150,train loss = 2.42,train accuracy = 0.00
Step 200,train loss = 2.47,train accuracy = 0.13
Step 250,train loss = 2.39,train accuracy = 0.33
Step 300,train loss = 2.27,train accuracy = 0.13
Step 350,train loss = 2.43,train accuracy = 0.27
Step 400,train loss = 2.37,train accuracy = 0.20
Step 450,train loss = 2.49,train accuracy = 0.20
Step 500,train loss = 2.15,train accuracy = 0.33
INFO:tensorflow:Error reported to Coordinator: <class 'tensorflow.python.framework.errors_impl.InvalidArgumentError'>, Got 24 frames, but animated gifs can only be decoded by tf.image.decode_gif or tf.image.decode_image
         [[Node: DecodeJpeg_2 = DecodeJpeg[acceptable_fraction=0.5, channels=3, dct_method="", fancy_upscaling=true, ratio=1, try_recover_truncated=true, _device="/job:localhost/replica:0/task:0/device:CPU:0"](ReadFile_2)]]
Traceback (most recent call last):

  File "<ipython-input-1-c0bd3b69ef1e>", line 1, in <module>
    runfile('/Users/liuxueying/Documents/practice/cnn/untitled1.py', wdir='/Users/liuxueying/Documents/practice/cnn')

  File "/Users/liuxueying/anaconda3/envs/tensorflow/lib/python3.6/site-packages/spyder_kernels/customize/spydercustomize.py", line 678, in runfile
    execfile(filename, namespace)

  File "/Users/liuxueying/anaconda3/envs/tensorflow/lib/python3.6/site-packages/spyder_kernels/customize/spydercustomize.py", line 106, in execfile
    exec(compile(f.read(), filename, 'exec'), namespace)

  File "/Users/liuxueying/Documents/practice/cnn/untitled1.py", line 486, in <module>
    coord.join(threads)

  File "/Users/liuxueying/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/training/coordinator.py", line 389, in join
    six.reraise(*self._exc_info_to_raise)

  File "/Users/liuxueying/anaconda3/envs/tensorflow/lib/python3.6/site-packages/six.py", line 693, in reraise
    raise value

  File "/Users/liuxueying/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/training/queue_runner_impl.py", line 252, in _run
    enqueue_callable()

  File "/Users/liuxueying/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1205, in _single_operation_run
    self._call_tf_sessionrun(None, {}, [], target_list, None)

  File "/Users/liuxueying/anaconda3/envs/tensorflow/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1350, in _call_tf_sessionrun
    run_metadata)

InvalidArgumentError: Got 24 frames, but animated gifs can only be decoded by tf.image.decode_gif or tf.image.decode_image
     [[Node: DecodeJpeg_2 = DecodeJpeg[acceptable_fraction=0.5, channels=3, dct_method="", fancy_upscaling=true, ratio=1, try_recover_truncated=true, _device="/job:localhost/replica:0/task:0/device:CPU:0"](ReadFile_2)]]

这是我的图片处理代码:

def get_batch(image,label,image_W,image_H,batch_size,capacity):
    image = tf.cast(image,tf.string)
    label = tf.cast(label,tf.int32)
    #tf.cast()用来做类型转换

    input_queue = tf.train.slice_input_producer([image,label])
    #加入队列



    label = input_queue[1]
    image_contents = tf.read_file(input_queue[0])

    image = tf.image.decode_jpeg(image_contents,channels=3,try_recover_truncated = True,acceptable_fraction=0.5)
    #jpeg或者jpg格式都用decode_jpeg函数，其他格式可以去查看官方文档

    image = tf.image.resize_image_with_crop_or_pad(image,image_W,image_H)
    #resize

    image = tf.image.per_image_standardization(image)
    #对resize后的图片进行标准化处理

    image_batch,label_batch = tf.train.batch([image,label],batch_size = batch_size,num_threads=16,capacity = capacity)

    label_batch = tf.reshape(label_batch,[batch_size])
    image_batch = tf.cast(image_batch,tf.float32)
    return image_batch,label_batch