clean for distribute

src/orisys/sensor.py

@@ -160,13 +160,10 @@ class Sensor:
         Returns:
             np.ndarray: Processed grayscale image
         """
-        t0 = time.perf_counter()
         ret, frame = self.cap.read()
         if not ret:
             print("Failed to get_img from video source.")
             return None
-        t1 = time.perf_counter()
-        print(f"read frame time: {t1 - t0} seconds")
         
         # Convert to grayscale
         gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
@@ -414,18 +411,8 @@ class Sensor:
 
     def _open_video_source(self, override, box):
         """Initialize video capture and calibration."""
-        # Use DirectShow backend on Windows for cameras (more stable than MSMF)
-        if isinstance(self.vid_src, int):
-            # For camera indices, try DirectShow first (avoids MSMF errors)
-            try:
-                self.cap = cv2.VideoCapture(self.vid_src, cv2.CAP_DSHOW)
-            except:
-                # Fallback to default backend
-                self.cap = cv2.VideoCapture(self.vid_src)
-        else:
-            # For file paths, use default backend
-            self.cap = cv2.VideoCapture(self.vid_src)
-        
+
+        self.cap = cv2.VideoCapture(self.vid_src)        
         # Set buffer size to 1 to reduce latency and avoid frame accumulation
         self.cap.set(cv2.CAP_PROP_BUFFERSIZE, 1)
         self.cap.set(cv2.CAP_PROP_FOURCC, cv2.VideoWriter.fourcc('M', 'J', 'P', 'G'))