Closed lukasalexanderweber closed 1 year ago
@3nol maybe you want to have a look on those changes. My idea was that we can produce the scaled image masks by adding
def read_masks(self, mask_names): mask_names = Images.resolve_wildcards(mask_names) assert len(mask_names) == len(self.img_names) for idx, name in enumerate(mask_names): img = Images.read_image(name) size = Images.get_image_size(img) np.testing.assert_array_equal(self.img_sizes[idx], size) yield img
and just use the normal resize function in the stitcher:
feature_masks = self.images.read_masks(feature_mask_names) feature_masks = self.images.resize(imgs, Images.Resolution.MEDIUM) feature_masks = list(feature_masks)
Of course this change is not backwards compatible, so I would also need to adjust the tutorial (no ImageHander anymore). I think it's worth it but it would be great to have feedback about this
@3nol maybe you want to have a look on those changes. My idea was that we can produce the scaled image masks by adding
and just use the normal resize function in the stitcher:
Of course this change is not backwards compatible, so I would also need to adjust the tutorial (no ImageHander anymore). I think it's worth it but it would be great to have feedback about this