''

pipeline.py

@@ -313,7 +313,8 @@ def pipeline(eventpath,
 
 
     
-def execute_pipeline(evtdir = r"D:\datasets\ym\后台数据\unzip", 
+def \
+        execute_pipeline(evtdir = r"D:\datasets\ym\后台数据\unzip",
                      DataType = "raw",   # raw, pkl
                      save_path = r"D:\work\result_pipeline", 
                      kk=1,
@@ -364,6 +365,9 @@ def execute_pipeline(evtdir = r"D:\datasets\ym\后台数据\unzip",
             f.write(line + '\n')
 
 if __name__ == "__main__": 
+    # datapath = r'/home/wqg/dataset/test_dataset/base_dataset/single_event/source/'
+    # savepath = r'/home/wqg/dataset/pipeline/test_result/single_event_V10'
+
     datapath = r'/home/wqg/dataset/test_dataset/base_dataset/single_event/source/'
     savepath = r'/home/wqg/dataset/pipeline/test_result/single_event_V10'
 

pipeline_process_addWrite.py

@@ -538,15 +538,16 @@ if __name__ == "__main__":
     datapath = '/home/yujia/yj/gpu_code/callback_data_test_0417/'
     savepath = '/home/yujia/yj/gpu_code/result_0417_v10/'
     max_col = 12  ##excel表格列索引从0开始，从这列开始写入代码解析内容
-    track_txt = '轨迹数为空.txt'
+    # track_txt = '轨迹数为空.txt'
+    track_txt = ''  ###第一次跑pipeline时，track_txt为空
 
     execute_pipeline(evtdir=datapath,
                       DataType = "raw",   # raw, pkl
                       kk=1,
                       source_type = "video",   # video, image,
                       save_path = savepath,
-                      yolo_ver = "V5",   # V10, V5  ##20250401之前使用V5 ressnet使用resv10
-                      weight_yolo_v5 = '/home/yujia/yj/gpu_code/ckpts/best_cls10_0906.pt' ,
+                      yolo_ver = "V10",   # V10, V5  ##20250401之前使用V5 ressnet使用resv10
+                      weight_yolo_v5 = '/home/yujia/yj/gpu_code/ckpts/best_cls10_0906.pt',
                       weight_yolo_v10 = '/home/yujia/yj/gpu_code/ckpts/best_v10s_width0375_1205.pt',
                       saveimages = False,
                       max_col = max_col,