初始构建build_imagenet_data.py TypeError:'RGB'的类型为<class'str'=“”>,但需要以下之一:(<class'bytes'=“”>,)

时间:2016-07-23 21:43:14

标签: tensorflow

我试图在build_imagenet_data.py中使用_convert_to_example()函数的略微变体:

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colorspace变量相关的错误:

  

TypeError:'RGB'的类型为'str',但是应该是:(类'bytes',)

如果我注释掉图像/颜色空间功能,我会得到相同的图像/格式错误。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。我做错了什么?

2 个答案:

答案 0 :(得分:4)

这听起来像是Python 2/3不兼容问题。您可以通过将colorspace添加到字符串文字中,将image_formatbytes显式创建为b个对象,如下所示:

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

答案 1 :(得分:3)

我注意到了一些额外的变化。

o     #shuffled_index = range(len(filenames))
o     shuffled_index = list(range(len(filenames)))
o     #for i in xrange(len(spacing) - 1):
o     for i in range(len(spacing) - 1):
o         'image/class/text': _bytes_feature(text.encode()),
o         'image/filename': _bytes_feature(os.path.basename(filename.encode())),
o     colorspace = 'RGB'.encode()
o     channels = 3
o     image_format = 'JPEG'.encode()