I am trying to use a slight variant of the _convert_to_example() function in build_imagenet_data.py:
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
I get an error associated with the colorspace variable:
TypeError: 'RGB' has type class 'str', but expected one of: (class 'bytes',)
If I comment out the image/colorspace feature I get the same error for image/format. Likewise for image/filename. If I comment out these three features the function seems to run as expected. What am I doing wrong?
This sounds like a Python 2/3 incompatibility issue. You can explicitly create colorspace
and image_format
as bytes
objects by prepending a b
to the string literals, as follows:
colorspace = b'RGB'
# ...
image_format = b'JPEG'
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