def get_patches_from_sample(sample,
patch_size,
step,
keep_foreground_only: bool = True,
keep_labels: bool = True):
slices = SliceBuilder(sample.x.shape, patch_size=patch_size,
step=step).build_slices()
patches = list()
for slice in slices:
if keep_labels:
center_coordinate = CenterCoordinate(sample.x[tuple(slice)],
sample.y[tuple(slice)])
patches.append(Patch(slice, 0, center_coordinate))
else:
patches.append(Patch(slice, 0, None))
if keep_foreground_only:
return np.array(
list(
filter(lambda patch: patch.center_coordinate.is_foreground,
patches)))
else:
return patches
def get_patches(image, patch_size, step):
slices = SliceBuilder(image.shape, patch_size=patch_size, step=step).build_slices()
patches = list()
for slice in slices:
patches.append(Patch(slice, 0, None))
return patches
def get_filtered_patches(image, label, patch_size, step):
slices = SliceBuilder(image.shape, patch_size=patch_size, step=step).build_slices()
patches = list()
for slice in slices:
center_coordinate = CenterCoordinate(image[tuple(slice)], label[tuple(slice)])
patches.append(Patch(image[tuple(slice)], 0, center_coordinate))
return list(filter(lambda patch: patch.center_coordinate.is_foreground, patches))