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Update mask_nodes.py

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kijai 2025-07-03 20:45:10 +03:00
parent 1f653a8d96
commit 40d9d84b68
1 changed files with 8 additions and 2 deletions
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nodes/mask_nodes.py
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@ -1304,7 +1304,7 @@ class SeparateMasks:
"mask": ("MASK", ),
"size_threshold_width" : ("INT", {"default": 256, "min": 0.0, "max": 4096, "step": 1}),
"size_threshold_height" : ("INT", {"default": 256, "min": 0.0, "max": 4096, "step": 1}),
"mode": (["convex_polygons", "area"],),
"mode": (["convex_polygons", "area", "box"],),
"max_poly_points": ("INT", {"default": 8, "min": 3, "max": 32, "step": 1}),
},
@ -1399,12 +1399,18 @@ class SeparateMasks:
print(f"Component {component}: width={width}, height={height}, x_pos={centroid_x}")
if width >= size_threshold_width and height >= size_threshold_height:
if mode != "area":
if mode == "convex_polygons":
polygon = self.get_mask_polygon(component_mask_np, max_poly_points)
if polygon is not None:
poly_mask = self.polygon_to_mask(polygon, (H, W))
poly_mask = torch.tensor(poly_mask, device=mask.device)
separated.append((centroid_x, poly_mask))
elif mode == "box":
# Create bounding box mask
box_mask = np.zeros((H, W), dtype=np.uint8)
box_mask[y_min:y_max+1, x_min:x_max+1] = 1
box_mask = torch.tensor(box_mask, device=mask.device)
separated.append((centroid_x, box_mask))
else:
area_mask = torch.tensor(component_mask_np, device=mask.device)
separated.append((centroid_x, area_mask))