(--save-txt)Results are displayed only up to the 31st line, and the results of all frames are not output (--save-conf)Conf are not in output

[Aki-AKANE]

I apologize if I am rude as this is my first question on Github.

I tried (input) to save text and save conf and got (output).
But on .txt, results are displayed only up to the 31st line, and the results of all frames are not output.
And conf did not seem to indicate.
（I check Q&A about save-txt values :https://github.com/mikel-brostrom/Yolov5_StrongSORT_OSNet/discussions/658）

Please help me.

（Input）

!python3 track.py --source /content/0107_2_trim30.MP4 --yolo-weights yolov5x.pt --save-txt --save-conf --conf-thres 0.01 --class 0

（Output）
track: yolo_weights=[PosixPath('yolov5x.pt')], reid_weights=/content/Yolov5_DeepSort_Pytorch/weights/osnet_x0_25_msmt17.pt, tracking_method=bytetrack, tracking_config=trackers/bytetrack/configs/bytetrack.yaml, source=/content/0107_2_trim30.MP4, imgsz=[640, 640], conf_thres=0.01, iou_thres=0.5, max_det=1000, device=, show_vid=False, save_txt=True, save_conf=True, save_crop=False, save_trajectories=False, save_vid=False, nosave=False, classes=[0], agnostic_nms=False, augment=False, visualize=False, update=False, project=runs/track, name=exp, exist_ok=False, line_thickness=2, hide_labels=False, hide_conf=False, hide_class=False, half=False, dnn=False, vid_stride=1, retina_masks=False
YOLOv5 🚀 2023-1-7 Python-3.8.16 torch-1.13.0+cu116 CUDA:0 (Tesla T4, 15110MiB)
Downloading https://github.com/ultralytics/yolov5/releases/download/v7.0/yolov5x.pt to yolov5x.pt...
100% 166M/166M [00:01<00:00, 102MB/s]
Fusing layers...
YOLOv5x summary: 444 layers, 86705005 parameters, 0 gradients
video 1/1 (1/62) /content/0107_2_trim30.MP4: 384x640 23 persons, 119.5ms
video 1/1 (2/62) /content/0107_2_trim30.MP4: 384x640 23 persons, 78.2ms
～omission～
video 1/1 (61/62) /content/0107_2_trim30.MP4: 384x640 13 persons, 34.6ms
video 1/1 (62/62) /content/0107_2_trim30.MP4: 384x640 25 persons, 34.9ms
Speed: 0.4ms pre-process, 34.8ms inference, 1.9ms NMS, 1.3ms bytetrack update per image at shape (1, 3, 640, 640)
Results saved to runs/track/exp
1 tracks saved to runs/track/exp/tracks