Update app.py

app.py

@@ -30,7 +30,7 @@ label_color_dict = {}
 
 def query_data(in_pil_img: Image.Image):
     results = detector(in_pil_img)
-    print(f"检测结果：{results}")
+    # print(f"检测结果：{results}")
     return results
 
 
@@ -105,7 +105,7 @@ def process_video(input_video_path):
     timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
     output_video_filename = f"output_{timestamp}.mp4"
     output_video_path = os.path.join(output_dir, output_video_filename)
-    print(f"输出视频信息：{output_video_path}, {width}x{height}, {fps}fps")
+    # print(f"输出视频信息：{output_video_path}, {width}x{height}, {fps}fps")
     out = cv2.VideoWriter(output_video_path, fourcc, fps, (width, height))
 
     while True:
@@ -115,15 +115,15 @@ def process_video(input_video_path):
         
         rgb_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
         pil_image = Image.fromarray(rgb_frame)
-        print(f"Input frame of shape {rgb_frame.shape} and type {rgb_frame.dtype}")  # 调试信息
+        # print(f"Input frame of shape {rgb_frame.shape} and type {rgb_frame.dtype}")  # 调试信息
         annotated_frame = get_annotated_image(pil_image)
         bgr_frame = cv2.cvtColor(annotated_frame, cv2.COLOR_RGB2BGR)
-        print(f"Annotated frame of shape {bgr_frame.shape} and type {bgr_frame.dtype}")  # 调试信息
+        # print(f"Annotated frame of shape {bgr_frame.shape} and type {bgr_frame.dtype}")  # 调试信息
         # 确保帧的尺寸与视频输出一致
         if bgr_frame.shape[:2] != (height, width):
             bgr_frame = cv2.resize(bgr_frame, (width, height))
 
-        print(f"Writing frame of shape {bgr_frame.shape} and type {bgr_frame.dtype}")  # 调试信息
+        # print(f"Writing frame of shape {bgr_frame.shape} and type {bgr_frame.dtype}")  # 调试信息
         out.write(bgr_frame)
 
     cap.release()