def load_label(self, filename):
"""
Load a label image
"""
image = PIL.Image.open(filename)
if self.userdata['colormap_method'] == "label":
if image.mode not in ['P', 'L', '1']:
raise ValueError("Labels are expected to be single-channel (paletted or "
" grayscale) images - %s mode is '%s'"
% (filename, image.mode))
else:
if image.mode not in ['RGB']:
raise ValueError("Labels are expected to be RGB images - %s mode is '%s'"
% (filename, image.mode))
image = image.quantize(palette=self.palette_img)
return image
def load_label(self, filename):
"""
Load a label image
"""
image = PIL.Image.open(filename)
if self.userdata['colormap_method'] == "label":
if image.mode not in ['P', 'L', '1']:
raise ValueError(
"Labels are expected to be single-channel (paletted or "
" grayscale) images - %s mode is '%s'" %
(filename, image.mode))
else:
if image.mode not in ['RGB']:
raise ValueError(
"Labels are expected to be RGB images - %s mode is '%s'" %
(filename, image.mode))
image = image.quantize(palette=self.palette_img)
return image
def load_label(self, filename):
"""
Load a label image
"""
image = PIL.Image.open(filename)
if self.userdata['colormap_method'] == "label":
if image.mode not in ['P', 'L', '1']:
raise ValueError("Labels are expected to be single-channel (paletted or "
" grayscale) images - %s mode is '%s'. If your labels are "
"RGB images then set the 'Color Map Specification' field "
"to 'from text file' and provide a color map text file."
% (filename, image.mode))
else:
if image.mode not in ['RGB']:
raise ValueError("Labels are expected to be RGB images - %s mode is '%s'. "
"If your labels are palette or grayscale images then set "
"the 'Color Map Specification' field to 'from label image'."
% (filename, image.mode))
image = image.quantize(palette=self.palette_img)
return image