🐛 [Fix] bugs in onnx's output and video source

yolo/tools/data_loader.py

@@ -255,7 +255,7 @@ class StreamDataLoader:
     def load_video_file(self, video_path):
         import cv2
 
-        cap = cv2.VideoCapture(video_path)
+        cap = cv2.VideoCapture(str(video_path))
         while self.running:
             ret, frame = cap.read()
             if not ret:

yolo/utils/deploy_utils.py

@@ -45,6 +45,8 @@ class FastModelLoader:
                 if idx % 3 == 2:
                     model_outputs.append(layer_output)
                     layer_output = []
+            if len(model_outputs) == 6:
+                model_outputs = model_outputs[:3]
             return {"Main": model_outputs}
 
         InferenceSession.__call__ = onnx_forward