Closed Ishihara-Masabumi closed 1 year ago
π Hello @Ishihara-Masabumi, thank you for leaving an issue on Roboflow Notebooks.
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Hi @Ishihara-Masabumi ππ»! I just tested the notebook and it works... all fine. Are you sure you downloaded videos from Kaggle?
Hi @Ishihara-Masabumi ππ» Any updates?
I'm closing the issue :)
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Notebook name
how-to-track-football-players.ipynb
Bug
/content/yolov5 detect: weights=['yolov5x.pt'], source=/content/clips/08fd33_4.mp4, data=data/coco128.yaml, imgsz=[640, 640], conf_thres=0.25, iou_thres=0.45, max_det=1000, device=, view_img=False, save_txt=False, save_conf=False, save_crop=False, nosave=False, classes=None, agnostic_nms=False, augment=False, visualize=False, update=False, project=runs/detect, name=coco, exist_ok=False, line_thickness=3, hide_labels=False, hide_conf=False, half=False, dnn=False, vid_stride=1 YOLOv5 π v7.0-89-g35d6d9f Python-3.8.10 torch-1.13.1+cu116 CUDA:0 (Tesla T4, 15110MiB)
Downloading https://github.com/ultralytics/yolov5/releases/download/v7.0/yolov5x.pt to yolov5x.pt... 100% 166M/166M [00:05<00:00, 31.3MB/s]
Fusing layers... YOLOv5x summary: 444 layers, 86705005 parameters, 0 gradients Traceback (most recent call last): File "detect.py", line 261, in
main(opt)
File "detect.py", line 256, in main
run(*vars(opt))
File "/usr/local/lib/python3.8/dist-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
return func(args, **kwargs)
File "detect.py", line 111, in run
dataset = LoadImages(source, img_size=imgsz, stride=stride, auto=pt, vid_stride=vid_stride)
File "/content/yolov5/utils/dataloaders.py", line 254, in init
raise FileNotFoundError(f'{p} does not exist')
FileNotFoundError: /content/clips/08fd33_4.mp4 does not exist
Environment
the same as yours
Minimal Reproducible Example
No response
Additional
No response
Are you willing to submit a PR?