@@ -16,27 +16,29 @@ def process_frame(video_path, start_frame, end_frame, output_list, lock):
     cap.set(cv2.CAP_PROP_POS_FRAMES, start_frame)
 
     for _ in range(start_frame, end_frame):
-        # 获取帧
+        # 获取帧。grap 好像不能跳帧 cap.set(cv2.CAP_PROP_POS_FRAMES, start_frame)
         ret, _ = cap.read()
-        if ret is False:
+        if not ret:
+            logging.info(f"Thread {start_frame}: failed to retrieve frame")
             break
-
         # 获取时间戳
         timestamp = cap.get(cv2.CAP_PROP_POS_MSEC) / 1000.0
         thread_output.append(
             f"{time.ctime()} Thread {start_frame}: Timestamp - {timestamp}")
 
         # 设置视频流的位置，直接跳过一些帧
-        cap.set(cv2.CAP_PROP_POS_FRAMES, cap.get(cv2.CAP_PROP_POS_FRAMES) + 60)
+        cap.set(cv2.CAP_PROP_POS_FRAMES, cap.get(cv2.CAP_PROP_POS_FRAMES) + 20)
 
         if cap.get(cv2.CAP_PROP_POS_FRAMES) >= end_frame:
+            logging.info(f"Thread {start_frame}: reached end frame")
             break
 
     # 将每个线程的输出添加到共享的列表中
     # 使用锁确保对共享列表的安全访问
     with lock:
         output_list.extend(thread_output)
     cap.release()  # 关闭视频文件
+    logging.info(f"Thread {start_frame}: finishing")
 
 
 def main(video_path, num_threads):
@@ -58,7 +60,7 @@ def main(video_path, num_threads):
     lock = threading.Lock()
 
     # 使用线程池
-    with concurrent.futures.ThreadPoolExecutor(max_workers=1) as executor:
+    with concurrent.futures.ThreadPoolExecutor(max_workers=num_threads) as executor:
         # 提交帧处理任务给线程池
         futures = [executor.submit(process_frame, video_path, start, end, output_list, lock)
                    for start, end in frame_ranges]