Update app.py

app.py

@@ -138,10 +138,11 @@ def inference(image_url, image, min_score):
     measurements = {}
     
     for ind,item_mask in enumerate(masks):
+        segmentation = np.where(item_mask == True)
         if  segmentation[1].any() and segmentation[0].any():
           # box=bbox[ind]
           # Get the true bounding box of the mask (not the same as the bbox prediction)
-          segmentation = np.where(item_mask == True)
+
           x_min = int(np.min(segmentation[1]))
           x_max = int(np.max(segmentation[1]))
           y_min = int(np.min(segmentation[0]))