自己的數據集ValueError：使用dtype float32的Tensor的Tensor轉換請求了dtype字符串

Question

我正在嘗試使用自己的數據集來訓練GAN網絡。 我在以.jpg格式加載自己的數據集時遇到問題。 我已經可以使用現有的jpg數據集，但看不到有效數據集和無效數據集之間jpg編碼的區別。

照片是使用Windows機器轉換的，並重命名為001.jpg 002.jpg等。為進行培訓，我使用的是Linux機器。

我正在使用以下代碼的python程序加載圖像並將其轉換為張量：

def _image_batch(image_paths,
                 batch_size,
                 load_size=286,
                 crop_size=256,
                 channels=3,
                 prefetch_batch=2,
                 drop_remainder=True,
                 num_threads=16,
                 shuffle=True,
                 buffer_size=4096,
                 repeat=-1):
    def _parse_func(path):
        img = tf.read_file(path)
        img = tf.image.decode_jpeg(img, channels=channels)
        img = tf.image.random_flip_left_right(img)
        img = tf.image.resize_images(img, [load_size, load_size])
        img = (img - tf.reduce_min(img)) / (tf.reduce_max(img) - tf.reduce_min(img))
        img = tf.random_crop(img, [crop_size, crop_size, channels])
        img = img * 2 - 1
        return img

完整的錯誤是：

Traceback (most recent call last):
  File "/mnt/storage/software/languages/anaconda/Anaconda3-5.2.0-tflow-1.7/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 510, in _apply_op_helper
    preferred_dtype=default_dtype)
  File "/mnt/storage/software/languages/anaconda/Anaconda3-5.2.0-tflow-1.7/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1040, in internal_convert_to_tensor
    ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
  File "/mnt/storage/software/languages/anaconda/Anaconda3-5.2.0-tflow-1.7/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 883, in _TensorTensorConversionFunction
    (dtype.name, t.dtype.name, str(t)))
ValueError: Tensor conversion requested dtype string for Tensor with dtype float32: 'Tensor("arg0:0", shape=(), dtype=float32)'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "train.py", line 112, in <module>
    a_test_pool = data.ImageData(sess, a_test_img_paths, batch_size, load_size=load_size, crop_size=crop_size)
  File "/mnt/storage/scratch/ag17634/CycleGAN-Tensorflow-Pytorch/data.py", line 35, in __init__
    repeat)
  File "/mnt/storage/scratch/ag17634/CycleGAN-Tensorflow-Pytorch/data.py", line 68, in _image_batch
    dataset = dataset.map(_parse_func, num_parallel_calls=num_threads)
  File "/mnt/storage/software/languages/anaconda/Anaconda3-5.2.0-tflow-1.7/lib/python3.6/site-packages/tensorflow/python/data/ops/dataset_ops.py", line 840, in map
    return ParallelMapDataset(self, map_func, num_parallel_calls)
  File "/mnt/storage/software/languages/anaconda/Anaconda3-5.2.0-tflow-1.7/lib/python3.6/site-packages/tensorflow/python/data/ops/dataset_ops.py", line 1857, in __init__
    super(ParallelMapDataset, self).__init__(input_dataset, map_func)
  File "/mnt/storage/software/languages/anaconda/Anaconda3-5.2.0-tflow-1.7/lib/python3.6/site-packages/tensorflow/python/data/ops/dataset_ops.py", line 1826, in __init__
    self._map_func.add_to_graph(ops.get_default_graph())
  File "/mnt/storage/software/languages/anaconda/Anaconda3-5.2.0-tflow-1.7/lib/python3.6/site-packages/tensorflow/python/framework/function.py", line 488, in add_to_graph
    self._create_definition_if_needed()
  File "/mnt/storage/software/languages/anaconda/Anaconda3-5.2.0-tflow-1.7/lib/python3.6/site-packages/tensorflow/python/framework/function.py", line 321, in _create_definition_if_needed
    self._create_definition_if_needed_impl()
  File "/mnt/storage/software/languages/anaconda/Anaconda3-5.2.0-tflow-1.7/lib/python3.6/site-packages/tensorflow/python/framework/function.py", line 338, in _create_definition_if_needed_impl
    outputs = self._func(*inputs)
  File "/mnt/storage/software/languages/anaconda/Anaconda3-5.2.0-tflow-1.7/lib/python3.6/site-packages/tensorflow/python/data/ops/dataset_ops.py", line 1791, in tf_map_func
    ret = map_func(nested_args)
  File "/mnt/storage/scratch/ag17634/CycleGAN-Tensorflow-Pytorch/data.py", line 57, in _parse_func
    img = tf.read_file(path)
  File "/mnt/storage/software/languages/anaconda/Anaconda3-5.2.0-tflow-1.7/lib/python3.6/site-packages/tensorflow/python/ops/gen_io_ops.py", line 527, in read_file
    "ReadFile", filename=filename, name=name)
  File "/mnt/storage/software/languages/anaconda/Anaconda3-5.2.0-tflow-1.7/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 533, in _apply_op_helper
    (prefix, dtypes.as_dtype(input_arg.type).name))
TypeError: Input 'filename' of 'ReadFile' Op has type float32 that does not match expected type of string.

Answer 1

這聽起來像一個轉換問題。 我認為您可能必須在作為文件名傳遞的輸入上調用str(input) 。

Answer 2

我有同樣的錯誤。

我解決了：正確更改路徑名。

我想在您的情況下，您應該在代碼中檢查“路徑”名稱

img = tf.read_file(path)