Verify camera ID when running dot in camera mode

dot/__main__.py

@@ -121,7 +121,9 @@ def main(
 ):
     """CLI entrypoint for dot."""
     # initialize dot
-    _dot = DOT(use_video=use_video, use_image=use_image, save_folder=save_folder)
+    _dot = DOT(
+        use_video=use_video, use_image=use_image, save_folder=save_folder, target=target
+    )
 
     # build dot
     option = _dot.build_option(

dot/commons/camera_utils.py

@@ -14,19 +14,39 @@
 from .video.videocaptureasync import VideoCaptureAsync
 
 
+def fetch_camera(target: int) -> VideoCaptureAsync:
+    """Fetches a VideoCaptureAsync object.
+
+    Args:
+        target (int): Camera ID descriptor.
+
+    Raises:
+        ValueError: If camera ID descriptor is not valid.
+
+    Returns:
+        VideoCaptureAsync: VideoCaptureAsync object.
+    """
+    try:
+        return VideoCaptureAsync(target)
+    except RuntimeError:
+        raise ValueError(f"Camera {target} does not exist.")
+
+
 def camera_pipeline(
+    cap: VideoCaptureAsync,
     source: str,
     target: int,
     change_option: Callable[[np.ndarray], None],
     process_image: Callable[[np.ndarray], np.ndarray],
     post_process_image: Callable[[np.ndarray], np.ndarray],
     crop_size: int = 224,
     show_fps: bool = False,
-    **kwargs: Dict
+    **kwargs: Dict,
 ) -> None:
     """Open a webcam stream `target` and performs face-swap based on `source` image by frame.
 
     Args:
+        cap (VideoCaptureAsync): VideoCaptureAsync object.
         source (str): Path to source image folder.
         target (int): Camera ID descriptor.
         change_option (Callable[[np.ndarray], None]): Set `source` arg as faceswap source image.
@@ -51,7 +71,6 @@ def camera_pipeline(
     img_a_align_crop = process_image(img_a_whole)
     img_a_align_crop = post_process_image(img_a_align_crop)
 
-    cap = VideoCaptureAsync(target)
     cap.start()
     ret, frame = cap.read()
     cv2.namedWindow("cam", cv2.WINDOW_GUI_NORMAL)

dot/commons/model_option.py

@@ -12,7 +12,7 @@
 import torch
 
 from ..gpen.face_enhancement import FaceEnhancement
-from .camera_utils import camera_pipeline
+from .camera_utils import camera_pipeline, fetch_camera
 from .utils import find_images_from_path, generate_random_file_idx, rand_idx_tuple
 from .video.video_utils import video_pipeline
 
@@ -180,8 +180,10 @@ def generate_from_camera(
             show_fps (bool, optional): Show FPS. Defaults to False.
         """
         with torch.no_grad():
+            cap = fetch_camera(target)
             self.create_model(opt_crop_size=opt_crop_size, **kwargs)
             camera_pipeline(
+                cap,
                 source,
                 target,
                 self.change_option,

tests/pipeline_test.py

@@ -17,7 +17,7 @@ def fake_generate(self, option, source, target, show_fps=False, **kwargs):
 @mock.patch.object(DOT, "generate", fake_generate)
 class TestDotOptions(unittest.TestCase):
     def setUp(self):
-        self._dot = DOT(use_cam=False, save_folder="./tests")
+        self._dot = DOT(use_image=True, save_folder="./tests")
 
         self.faceswap_cv2_option = self._dot.faceswap_cv2(False, False, None)