Esempio n. 1
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 def test_merge_fail(self):
     image1 = Image(data=np.zeros((4, 10, 10), dtype=np.uint8),
                    axes_order="ZXY",
                    image_spacing=(1, 1, 1))
     image2 = Image(data=np.zeros((3, 10, 10), dtype=np.uint8),
                    axes_order="ZXY",
                    image_spacing=(1, 1, 1))
     with pytest.raises(ValueError):
         image1.merge(image2, "C")
Esempio n. 2
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 def test_different_axes_order(self):
     image1 = Image(data=np.zeros((3, 10, 10), dtype=np.uint8),
                    axes_order="ZXY",
                    image_spacing=(1, 1, 1))
     image2 = ChangeChannelPosImage(data=np.zeros((3, 10, 10),
                                                  dtype=np.uint8),
                                    axes_order="ZXY",
                                    image_spacing=(1, 1, 1))
     res_image = image1.merge(image2, "C")
     assert res_image.channels == 2
     assert isinstance(res_image, Image)
     assert isinstance(image2.merge(image1, "C"), ChangeChannelPosImage)
Esempio n. 3
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 def test_merge_chanel(self, chanel_mark, check_dtype):
     image1 = Image(data=np.zeros((3, 10, 10), dtype=np.uint8),
                    axes_order="ZXY",
                    image_spacing=(1, 1, 1))
     image2 = Image(data=np.ones((3, 10, 10), dtype=check_dtype),
                    axes_order="ZXY",
                    image_spacing=(1, 1, 1))
     res_image = image1.merge(image2, chanel_mark)
     assert res_image.channels == 2
     assert np.all(res_image.get_channel(0) == 0)
     assert np.all(res_image.get_channel(1) == 1)
     assert res_image.dtype == check_dtype
Esempio n. 4
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 def test_merge_channel_name(self):
     image1 = Image(
         data=np.zeros((4, 10, 10), dtype=np.uint8),
         axes_order="ZXY",
         image_spacing=(1, 1, 1),
         channel_names=["channel 1"],
     )
     image2 = Image(
         data=np.zeros((4, 10, 10), dtype=np.uint8),
         axes_order="ZXY",
         image_spacing=(1, 1, 1),
         channel_names=["channel 1"],
     )
     image3 = Image(
         data=np.zeros((4, 10, 10), dtype=np.uint8),
         axes_order="ZXY",
         image_spacing=(1, 1, 1),
         channel_names=["channel 5"],
     )
     res_image = image1.merge(image2, "C")
     assert res_image.channel_names == ["channel 1", "channel 2"]
     res_image = image1.merge(image3, "C")
     assert res_image.channel_names == ["channel 1", "channel 5"]