1 files changed, 5 insertions, 7 deletions
diff --git a/python/pyarmnn/examples/object_detection/run_video_file.py b/python/pyarmnn/examples/object_detection/run_video_file.py
index fc3e214721..e31b779458 100644
--- a/python/pyarmnn/examples/object_detection/run_video_file.py
+++ b/python/pyarmnn/examples/object_detection/run_video_file.py
@@ -36,11 +36,9 @@ def get_model_processing(model_name: str, video: cv2.VideoCapture, input_binding
         Model labels, decoding and processing functions.
     """
     if model_name == 'ssd_mobilenet_v1':
-        labels = os.path.join(script_dir, 'ssd_labels.txt')
-        return labels, ssd_processing, ssd_resize_factor(video)
+        return ssd_processing, ssd_resize_factor(video)
     elif model_name == 'yolo_v3_tiny':
-        labels = os.path.join(script_dir, 'yolo_labels.txt')
-        return labels, yolo_processing, yolo_resize_factor(video, input_binding_info)
+        return yolo_processing, yolo_resize_factor(video, input_binding_info)
     else:
         raise ValueError(f'{model_name} is not a valid model name')
 
@@ -49,8 +47,8 @@ def main(args):
     video, video_writer, frame_count = init_video_file_capture(args.video_file_path, args.output_video_file_path)
 
     executor = ArmnnNetworkExecutor(args.model_file_path, args.preferred_backends)
-    labels, process_output, resize_factor = get_model_processing(args.model_name, video, executor.input_binding_info)
-    labels = dict_labels(labels if args.label_path is None else args.label_path, include_rgb=True)
+    process_output, resize_factor = get_model_processing(args.model_name, video, executor.input_binding_info)
+    labels = dict_labels(args.label_path, include_rgb=True)
 
     for _ in tqdm(frame_count, desc='Processing frames'):
         frame_present, frame = video.read()
@@ -73,7 +71,7 @@ if __name__ == '__main__':
                         help='Path to the Object Detection model to use')
     parser.add_argument('--model_name', required=True, type=str,
                         help='The name of the model being used. Accepted options: ssd_mobilenet_v1, yolo_v3_tiny')
-    parser.add_argument('--label_path', type=str,
+    parser.add_argument('--label_path', required=True, type=str,
                         help='Path to the labelset for the provided model file')
     parser.add_argument('--output_video_file_path', type=str,
                         help='Path to the output video file with detections added in')