Update vtoonify_model.py

vtoonify_model.py

@@ -142,15 +142,16 @@ class Model():
         return frame, instyle, message
     
     #@torch.inference_mode()
-    def detect_and_align_image(self, frame_rgb: np.ndarray, top: int, bottom: int, left: int, right: int) -> tuple[np.ndarray, torch.Tensor, str]:
-        if frame_rgb is None:
-           return np.zeros((256, 256, 3), np.uint8), None, 'Error: fail to load the image.'
-
-    # Convert RGB to BGR
-        frame_bgr = cv2.cvtColor(frame_rgb, cv2.COLOR_RGB2BGR)
-
-        return self.detect_and_align(frame_bgr, top, bottom, left, right)
-
+    def detect_and_align_image(self, image: str, top: int, bottom: int, left: int, right: int
+                              ) -> tuple[np.ndarray, torch.Tensor, str]:
+        if image is None:
+            return np.zeros((256,256,3), np.uint8), None, 'Error: fail to load empty file.'
+        frame = cv2.imread(image)
+        if frame is None:
+            return np.zeros((256,256,3), np.uint8), None, 'Error: fail to load the image.'       
+        frame = cv2.cvtColor(frame, cv2.COLOR_RGB2BGR)
+        return self.detect_and_align(frame, top, bottom, left, right)
+    
     def detect_and_align_video(self, video: str, top: int, bottom: int, left: int, right: int
                               ) -> tuple[np.ndarray, torch.Tensor, str]:
         if video is None: