`ultralytics 8.3.24` SAM fix `pred_boxes` when no objects segmented (#17215)

Co-authored-by: Muhammad Rizwan Munawar <muhammadrizwanmunawar123@gmail.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

ultralytics/__init__.py

@@ -1,6 +1,6 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 license
 
-__version__ = "8.3.23"
+__version__ = "8.3.24"
 
 import os
 

ultralytics/models/sam/predict.py

@@ -478,7 +478,7 @@ class Predictor(BasePredictor):
         results = []
         for masks, orig_img, img_path in zip([pred_masks], orig_imgs, self.batch[0]):
             if len(masks) == 0:
-                masks = None
+                masks, pred_bboxes = None, torch.zeros((0, 6), device=pred_masks.device)
             else:
                 masks = ops.scale_masks(masks[None].float(), orig_img.shape[:2], padding=False)[0]
                 masks = masks > self.model.mask_threshold  # to bool