diff --git a/xznsh_flow/cfg.json b/xznsh_flow/cfg.json
index 3ddeeac..db8eb37 100644
--- a/xznsh_flow/cfg.json
+++ b/xznsh_flow/cfg.json
@@ -1 +1 @@
-{"log_path": "xznsh.log", "frame": 0.05, "camera": {"camera_01": "rtsp://admin:@192.168.10.18", "camera_02": "rtsp://admin:@192.168.10.12"}, "video_path": {"person": "video/person/", "head": "video/head/"}, "username": "eWF4aW4=", "password": "eWF4aW5AMTIz", "url": "", "model_path": {"person": "person.pt", "head": "person_cut_hh.pt", "phone": "xxx", "action": "xxx"}, "confidence": {"person": 0.5, "head": 0.5, "phone": 0.5}, "video_encoding": "MP42", "video_length": 50, "error_x": 200, "error_y": 200, "fps": 30, "test_video_path": "0711-4.mp4"}
\ No newline at end of file
+{"log_path": "xznsh.log", "frame": 0.05, "camera": {"camera_01": "rtsp://admin:@192.168.10.18", "camera_02": "rtsp://admin:@192.168.10.12"}, "video_path": {"person": "video/person/", "head": "video/head/"}, "username": "eWF4aW4=", "password": "eWF4aW5AMTIz", "url": "", "model_path": {"person": "person.pt", "head": "person_cut_hh.pt", "phone": "xxx", "action": "xxx"}, "confidence": {"person": 0.5, "head": 0.5, "phone": 0.5}, "video_encoding": "MP42", "video_length": 90, "error_x": 200, "error_y": 200, "fps": 30, "test_video_path": "0711-4.mp4"}
\ No newline at end of file
diff --git a/xznsh_flow/xznsh_main.py b/xznsh_flow/xznsh_main.py
index d6e421d..a52e50a 100644
--- a/xznsh_flow/xznsh_main.py
+++ b/xznsh_flow/xznsh_main.py
@@ -67,6 +67,8 @@ class FrameToVideo(Thread):
             if all([abs(coord[n] - target['coord'][n]) <= 5 for n in range(4)]):  # 误差判断
                 frame_split = frame_img[target['split_y']['min']:target['split_y']['max'],
                               target['split_x']['min']:target['split_x']['max']]
+                # cv2.imshow('yang', frame_split)
+                # cv2.waitKey(2000)
                 target['frame'].append(frame_split)
                 target['count'] += 1
                 target['flag'] = True
@@ -80,7 +82,11 @@ class FrameToVideo(Thread):
     def target_analysis(self, target_list, new_target_list, person_coord_list, frame_x, frame_y, frame_img, label):
         if not target_list:
             for line in person_coord_list:
-                coord = line['person']
+                # label that self define maybe different from model
+                if label == 'head':
+                    coord = line['head']
+                else:
+                    coord = line['person']
                 split_x, split_y = self.boundary_treat(frame_x, frame_y, coord)
 
                 # 裁剪大一圈,固定裁剪范围
@@ -90,7 +96,7 @@ class FrameToVideo(Thread):
                                     'split_y': split_y, 'flag': False})
         else:
             for line in person_coord_list:
-                coord = line['person']
+                coord = line[label]
 
                 match_flag = self.target_match(target_list, coord, frame_img, new_target_list)
                 if not match_flag:
@@ -103,22 +109,31 @@ class FrameToVideo(Thread):
             # 判断帧数，生成视频
             for target in target_list:
                 if len(target['frame']) == cfg_dict['video_length']:
-                    print(target)
                     frame_w = target['split_x']['max'] - target['split_x']['min']
                     frame_h = target['split_y']['max'] - target['split_y']['min']
+                    logger.info(f'开始输出视频：{label}')
                     self.save_video(target['frame'], cfg_dict['fps'], cfg_dict['video_encoding'],
                                     cfg_dict['video_path'][label] + self.camera + str(int(time.time())) + '.mp4v',
                                     (frame_w, frame_h))
+                    logger.info(f'输出视频结束：{label}')
                     continue
                 # 过滤中断没有匹配到的目标
                 if target['flag']:
                     target['flag'] = False
                     new_target_list.append(target)
+            if label == 'person':
+                self.person_target_list = new_target_list
+            else:
+                self.head_target_list = new_target_list
 
     def frame_analysis(self):
-        video_caputre = cv2.VideoCapture(cfg_dict['test_video_path'])  # 本地测试用
+        video_capture = cv2.VideoCapture(cfg_dict['test_video_path'])  # 本地测试用
         while True:
-            result, frame_img = video_caputre.read()  # 本地测试用
+        #     for x in self.head_target_list:
+        #         print(len(x['frame']))
+
+
+            result, frame_img = video_capture.read()  # 本地测试用
             # try:
             #     frame_img = self.queue_img.get_nowait()
             # except Empty:
@@ -138,8 +153,6 @@ class FrameToVideo(Thread):
                                  frame_x, frame_y, frame_img, 'person')
             self.target_analysis(self.head_target_list, new_head_target_list, head_coord_list, frame_x,
                                  frame_y, frame_img, 'head')
-            self.person_target_list = new_person_target_list
-            self.head_target_list = new_head_target_list
 
     def run(self):
         self.frame_analysis()