Update app

app.py

@@ -66,8 +66,8 @@ def preprocess_video(path, result_folder, padding=20):
 	all_frames = np.asarray(all_frames)
 	print("Extracted the frames for pre-processing")
 
-	# Load YOLOv5 model (pre-trained on COCO dataset)
-	yolo_model = YOLO("yolov9c.pt")
+	# Load YOLOv9 model (pre-trained on COCO dataset)
+	yolo_model = YOLO("yolov9s.pt")
 	print("Loaded the YOLO model")
 
 	if frame_count < 25:
@@ -77,6 +77,7 @@ def preprocess_video(path, result_folder, padding=20):
 	person_videos = {}
 	person_tracks = {}
 
+	print("Processing the frames...")
 	for frame_idx in tqdm(range(frame_count)):
 	
 		frame = all_frames[frame_idx]