tensorflow - Inception build_imagenet_data.py TypeError : 'RGB' has type , 但预期为 : (, 之一)

Question

我试图在 build_imagenet_data.py 中使用 _convert_to_example() 函数的一个轻微变体:

def _convert_to_example(filename, image_buffer, label, bboxes, height, width):

  xmin = []
  ymin = []
  xmax = []
  ymax = []
  for b in bboxes:
    assert len(b) == 4
    # pylint: disable=expression-not-assigned
    [l.append(point) for l, point in zip([xmin, ymin, xmax, ymax], b)]
    # pylint: enable=expression-not-assigned

    colorspace = 'RGB'
    channels = 3
    image_format = 'JPEG'

    example = tf.train.Example(features=tf.train.Features(feature={
      'image/height': _int64_feature(height),
      'image/width': _int64_feature(width),
      'image/colorspace': _bytes_feature(colorspace),
      'image/channels': _int64_feature(channels),
      'image/class/label': _int64_feature(label),
      'image/object/bbox/xmin': _float_feature(xmin),
      'image/object/bbox/xmax': _float_feature(xmax),
      'image/object/bbox/ymin': _float_feature(ymin),
      'image/object/bbox/ymax': _float_feature(ymax),
      'image/object/bbox/label': _int64_feature(label),
      'image/format': _bytes_feature(image_format),
      'image/filename': _bytes_feature(os.path.basename(filename)),
      'image/encoded': _bytes_feature(image_buffer)}))
  return example

我收到与颜色空间变量相关的错误:

TypeError: 'RGB' has type class 'str', but expected one of: (class 'bytes',)

如果我注释掉图像/色彩空间功能，我会收到与图像/格式相同的错误。同样对于图像/文件名。如果我注释掉这三个功能，该功能似乎按预期运行。我究竟做错了什么？

Answer 1

这听起来像是 Python 2/3 不兼容问题。您可以显式创建 colorspace和 image_format如 bytes通过在对象前面加上 b到字符串文字，如下所示:

colorspace = b'RGB'
# ...
image_format = b'JPEG'