Convert Png - To Sdf

# 5. Calculate Euclidean Distance Transform # dt = Distance to nearest 0 (edge) dt = ndimage.distance_transform_edt(shape)

# 2. Normalize to binary (0 or 255) _, binary = cv2.threshold(img, 127, 255, cv2.THRESH_BINARY) convert png to sdf

# 6. Normalize SDF to 0-255 range for storage sdf_normalized = (dt / dt.max()) * 255 sdf_normalized = sdf_normalized.astype(np.uint8) binary = cv2.threshold(img

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# 4. Invert for distance calculation (Scipy treats '0' as foreground) # If your shape is white (1), invert it so shape is 0. shape = 1 - binary convert png to sdf