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@@ -91,6 +91,9 @@ def watershed(bin_vol: np.ndarray, min_distance: int = 5) -> tuple[np.ndarray, i
@@ -91,6 +91,9 @@ def watershed(bin_vol: np.ndarray, min_distance: int = 5) -> tuple[np.ndarray, i
import skimage
import skimage
import scipy
import scipy
 
if len(np.unique(bin_vol)) > 2:
 
raise ValueError("bin_vol has to be binary volume - it must contain max 2 unique values.")
 
# Compute distance transform of binary volume
# Compute distance transform of binary volume
distance = scipy.ndimage.distance_transform_edt(bin_vol)
distance = scipy.ndimage.distance_transform_edt(bin_vol)
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