Update model.py

sahi/model.py

@@ -1097,6 +1097,10 @@ def load_model(self):
 
     def perform_inference(self, image: np.ndarray):
         img, self.img_shape, self.src_shape = precess_image(image, img_size=self.image_size, stride=self.stride)
+
+        # move the input tensor to the same device as the model
+        img = img.to(self.device)
+
         self._original_predictions = self.model(img)
 
     def _create_object_prediction_list_from_original_predictions(
@@ -1120,7 +1124,7 @@ def _create_object_prediction_list_from_original_predictions(
             for *xyxy, conf, cls in reversed(det): 
                 category_id = int(cls)
                 category_name = COCO_CLASSES[category_id]
-                score = float(conf.numpy())
+                score = float(conf.cpu().numpy())
                 bbox = [int(xyxy[0]), int(xyxy[1]), int(xyxy[2]), int(xyxy[3])]
                 object_prediction = ObjectPrediction(
                     bbox=bbox,