def test_calibration_illuminant2(self):
tiffutils.save_dng(self.reference, self.name,
calibration_illuminant2=tiffutils.ILLUMINANT_D65)
meta = GExiv2.Metadata(self.name)
illuminant2 = float(meta['Exif.Image.CalibrationIlluminant2'])
self.assertEquals(illuminant2, tiffutils.ILLUMINANT_D65)
def test_color_matrix2(self):
matrix = np.array([
[1, 0, 0],
[0, 1, 0],
[0, 0, 1]])
tiffutils.save_dng(self.reference, self.name,
color_matrix2=matrix)
meta = GExiv2.Metadata(self.name)
color_matrix2 = str_to_array(meta['Exif.Image.ColorMatrix2'],
matrix.shape)
self.assertTrue((color_matrix2==matrix).all())
def test_data_noncontiguous(self):
data = np.zeros((10, 10))
view = data[:,1]
with self.assertRaises(ValueError):
tiffutils.save_dng(view, self.name)
def test_data_none(self):
with self.assertRaises(TypeError):
tiffutils.save_dng(None, self.name)
def test_data_compressed(self):
tiffutils.save_dng(self.reference, self.name, compression=True)
data, cfa = tiffutils.load_dng(self.name)
self.assertTrue((data==self.reference).all())
def test_calibration_illumimant2_omitted(self):
tiffutils.save_dng(self.reference, self.name)
meta = GExiv2.Metadata(self.name)
self.assertTrue('Exif.Image.CalibrationIllumimant2' not in meta)
def test_color_matrix2_bad(self):
matrix = np.array([True, False, True])
with self.assertRaises(ValueError):
tiffutils.save_dng(self.reference, self.name,
color_matrix2=matrix)
def test_color_matrix2_omitted(self):
tiffutils.save_dng(self.reference, self.name)
meta = GExiv2.Metadata(self.name)
self.assertTrue('Exif.Image.ColorMatrix2' not in meta)
def test_cfa(self):
tiffutils.save_dng(self.reference, self.name,
cfa_pattern=tiffutils.CFA_BGGR)
data, cfa = tiffutils.load_dng(self.name)
self.assertEquals(cfa, tiffutils.CFA_BGGR)