Update app.py

app.py

@@ -8,7 +8,6 @@ processor = DetrImageProcessor.from_pretrained("facebook/detr-resnet-50")
 model = DetrForObjectDetection.from_pretrained("facebook/detr-resnet-50")
 
 def detect_objects(video_path):
-    # Leer el video
     cap = cv2.VideoCapture(video_path)
     results = []
     
@@ -23,7 +22,8 @@ def detect_objects(video_path):
         
         # Extraer las predicciones
         target_sizes = torch.tensor([frame.shape[:2]])
-        results.append(processor.post_process_object_detection(outputs, target_sizes=target_sizes, threshold=0.9)[0])
+        detections = processor.post_process_object_detection(outputs, target_sizes=target_sizes, threshold=0.9)[0]
+        results.append(detections)
     
     cap.release()
     return results