bakeup

tracking/module_analysis.py

@@ -24,7 +24,7 @@ from tracking.utils.drawtracks import plot_frameID_y2, draw_all_trajectories
 
 from tracking.utils.read_data import extract_data, read_deletedBarcode_file, read_tracking_output, read_returnGoods_file
 
-from contrast.one2n_contrast import get_relative_paths, one2n_new, read_returnGoods_file
+from contrast.one2n_contrast import get_contrast_paths, one2n_return
 from tracking.utils.annotator import TrackAnnotator
 
 W, H = 1024, 1280
@@ -362,10 +362,10 @@ def main_loop():
     saveimgs = True
     
     if os.path.basename(del_barcode_file).find('deletedBarcode'):
-        relative_paths = get_relative_paths(del_barcode_file, basepath, SavePath, saveimgs)
+        relative_paths = get_contrast_paths(del_barcode_file, basepath, SavePath, saveimgs)
     elif os.path.basename(del_barcode_file).find('returnGoods'):
         blist = read_returnGoods_file(del_barcode_file)
-        errpairs, corrpairs, err_similarity, correct_similarity = one2n_new(blist)
+        errpairs, corrpairs, err_similarity, correct_similarity = one2n_return(blist)
         relative_paths = []
         for getoutevent, inputevent, errevent in errpairs:
             relative_paths.append(os.path.join(basepath, getoutevent))
@@ -412,13 +412,13 @@ def main():
         SavePath: 包含二级目录，一级目录为轨迹图像;二级目录为与data文件对应的序列图像存储地址。
     '''
     # eventPaths = r'\\192.168.1.28\share\测试_202406\0723\0723_3'
-    eventPaths = r'D:\datasets\ym\exhibition\识别错'
-    savePath = r'D:\contrast\dataset\result'
+    eventPaths = r'\\192.168.1.28\share\测试视频数据以及日志\各模块测试记录\展厅测试\1120_展厅模型v801测试\扫A放A'
+    savePath = r'D:\exhibition\result'
 
     k=0
     for pathname in os.listdir(eventPaths):
-        pathname = "放入薯片识别为辣条"
-                
+        pathname = "20241121-144901-fdba61c6-aefa-4b50-876d-5e05998befdc_6920459905012_6920459905012"
+       
         eventpath = os.path.join(eventPaths, pathname)
         savepath = os.path.join(savePath, pathname)
         if not os.path.exists(savepath):