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				@@ -136,13 +136,21 @@ def main(): 
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				             mask = pycocotools.mask.encode(mask) 
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				             area = float(pycocotools.mask.area(mask)) 
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				+            bbox = [] 
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				+            for points in segmentations[label]: 
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				+                bbox.extend(points) 
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				+            bbox = np.asarray(bbox).reshape((-1, 2)) 
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				+            xmin, ymin = np.amin(bbox, axis=0).tolist(); 
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				+            xmax, ymax = np.amax(bbox, axis=0).tolist(); 
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				+ 
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				             data['annotations'].append(dict( 
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				                 id=len(data['annotations']), 
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				+                image_id=image_id, 
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				+                category_id=cls_id, 
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				                 segmentation=segmentations[label], 
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				                 area=area, 
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				+                bbox=[xmin, ymin, xmax - xmin, ymax - ymin], 
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				                 iscrowd=None, 
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				-                image_id=image_id, 
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				-                category_id=cls_id, 
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				             )) 
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				     with open(out_ann_file, 'w') as f: 
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