Why does it perform so poorly in the test7_cross.txt, is this normal？

[FriendChi]

38248.1s | 4060 | ------------Configuration---------
38248.1s | 4061 | anno_dir: /kaggle/input/culane/CULane/
38248.1s | 4062 | detect_dir: /kaggle/working/Ultra-Fast-Lane-Detection-v2/log/20240610_063247_lr_6e-03_b_32/culane_eval_tmp/
38248.1s | 4063 | im_dir: /kaggle/input/culane/CULane/
38248.1s | 4064 | list_im_file: /kaggle/working/temp/list/list/test_split/test7_cross.txt
38248.1s | 4065 | width_lane: 30
38248.1s | 4066 | iou_threshold: 0.5
38248.1s | 4067 | im_width: 1640
38248.1s | 4068 | im_height: 590
38248.1s | 4069 | x_factor: 1
38248.1s | 4070 | y_factor: 1
38248.1s | 4071 | -----------------------------------
38248.1s | 4072 | Evaluating the results...
38250.0s | 4073 | tp: 0 fp: 3165 fn: 0
38250.0s | 4074 | no ground truth positive
38250.0s | 4075 | finished process file
38250.0s | 4076 | precision: 0
38250.0s | 4077 | recall: -1
38250.0s | 4078 | Fmeasure: 0
38250.0s | 4079 | ----------------------------------
38250.0s | 4080 | ------------Configuration---------
38250.0s | 4081 | anno_dir: /kaggle/input/culane/CULane/
38250.0s | 4082 | detect_dir: /kaggle/working/Ultra-Fast-Lane-Detection-v2/log/20240610_063247_lr_6e-03_b_32/culane_eval_tmp/
38250.0s | 4083 | im_dir: /kaggle/input/culane/CULane/
38250.0s | 4084 | list_im_file: /kaggle/working/temp/list/list/test_split/test8_night.txt
38250.0s | 4085 | width_lane: 30
38250.0s | 4086 | iou_threshold: 0.5
38250.0s | 4087 | im_width: 1640
38250.0s | 4088 | im_height: 590
38250.0s | 4089 | x_factor: 1
38250.0s | 4090 | y_factor: 1
38250.0s | 4091 | -----------------------------------
38250.0s | 4092 | Evaluating the results...
38391.7s | 4093 | tp: 12870 fp: 8087 fn: 8160
38391.7s | 4094 | finished process file
38391.7s | 4095 | precision: 0.614115
38391.7s | 4096 | recall: 0.611983
38391.7s | 4097 | Fmeasure: 0.613047
38391.7s | 4098 | ----------------------------------
38391.7s | 4099 | res_normal 0.865127
38391.7s | 4100 | res_crowd 0.65389
38391.7s | 4101 | res_night 0.613047
38391.7s | 4102 | res_noline 0.40263
38391.7s | 4103 | res_shadow 0.624912
38391.7s | 4104 | res_arrow 0.77776
38391.7s | 4105 | res_hlight 0.549101
38391.7s | 4106 | res_curve 0.584699
38391.7s | 4107 | res_cross 0.0
38391.7s | 4108 | 0.6701292552435965

[Gievance]

I have the same question , i wonder how did u solve it ?

[FriendChi]

I didn't fix it，The correct number of my predictions is 0