Removing labels and replacing with links to model+labels

Change-Id: Iec6c0b7cf55e0aa3ec1f0013f2da40e93b9bbcfc
Signed-off-by: Jakub Sujak <jakub.sujak@arm.com>

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')