def load_image(self):
""" Read the file and perform any transforms to get a loaded image """
try:
image = initializers.load_tiff(self.filename)
image = initializers.normalize(
image, invert=self.invert, scale=self.exposure,
dtype=self.float_precision
)
except IOError as e:
log.error("Could not find image '%s'" % self.filename)
raise e
return image
def load_background_image():
return normalize(load_tiff(ilm_file))
def totiff(state):
q = initializers.normalize(state.model_image)
return (q * 255).astype('uint8')