コード例 #1
0
ファイル: test_bpm.py プロジェクト: nicocardiel/numina
def test_process_bpm():

    data = numpy.zeros((10, 10), dtype='float32') + 3.0
    mask = numpy.zeros((10, 10), dtype='int32')
    mask[3,3] = 1

    result = process_bpm_median(data, mask)

    assert result[3,3] == 3.0
コード例 #2
0
ファイル: processing.py プロジェクト: nicocardiel/numina
    def run(self, img):
        import numina.array.bpm as bpm
        imgid = self.get_imgid(img)

        _logger.debug('correcting bad pixel mask in %s', imgid)

        data = self.datamodel.get_data(img)
        newdata = bpm.process_bpm_median(data, self.bpm, hwin=2, wwin=2, fill=0)
        # newdata = array.fixpix(data, self.bpm)
        # FIXME: this breaks datamodel abstraction
        img['primary'].data = newdata
        hdr = img['primary'].header
        hdr['NUM-BPM'] = self.calibid
        hdr['history'] = 'BPM correction with {}'.format(self.calibid)
        hdr['history'] = 'BPM correction time {}'.format(datetime.datetime.utcnow().isoformat())
        return img