Update format_results to get unnormalized coordinates bbox

tutorials/mct_model_garden/evaluation_metrics/coco_evaluation.py

@@ -139,6 +139,7 @@ def format_results(self, outputs: List, img_ids: List, orig_img_dims: List, outp
         detections = []
         h_model, w_model = output_resize['shape']
         preserve_aspect_ratio = output_resize['aspect_ratio_preservation']
+        normalized_coords = output_resize.get('normalized_coords', True)
 
         if self.task == 'Detection':
             # Process model outputs and convert to detection format
@@ -149,7 +150,7 @@ def format_results(self, outputs: List, img_ids: List, orig_img_dims: List, outp
                     output[2].numpy())).squeeze()  # Convert COCO 80-class indices to COCO 91-class indices
                 boxes = output[0].numpy().squeeze()  # Extract bounding boxes
                 boxes = scale_boxes(boxes, orig_img_dims[idx][0], orig_img_dims[idx][1], h_model, w_model,
-                                    preserve_aspect_ratio)
+                                    preserve_aspect_ratio, normalized_coords)
 
                 for score, label, box in zip(scores, labels, boxes):
                     detection = {