def _run(self, img):
_logger.debug('correcting non linearity in %s', img)
data = self.datamodel.get_data(img)
data = array.correct_nonlinearity(data, self.polynomial,
dtype=self.dtype)
# FIXME
img[0].data = data
return img
def run(self, img):
_logger.debug('correcting non linearity in %s', img)
data = self.datamodel.get_data(img)
data = array.correct_nonlinearity(data, self.polynomial,
dtype=self.dtype)
# FIXME
img[0].data = data
hdr = self.datamodel.get_header(img)
hdr['NUM-LIN'] = self.calibid
hdr['history'] = 'Non-linearity correction with {}'.format(self.calibid)
hdr['history'] = 'Non-linearity correction time {}'.format(datetime.datetime.utcnow().isoformat())
return img
