How to get VisDrone labels for train?

[nocolour]

❔Question

How to generate visdrone labels?

Additional context

Transferred 356/362 items from yolov5s.pt
Scaled weight_decay = 0.0005
Optimizer groups: 62 .bias, 62 conv.weight, 59 other
train: Scanning '../VisDrone/VisDrone2019-DET-train/labels.cache' images and labels... 0 found, 6471 missing, 0 empty, 0 corrupted: 100%|█| 6471/6471 [00:00<?, ?it/Traceback (most recent call last):
File "train.py", line 544, in
train(hyp, opt, device, tb_writer)
File "train.py", line 189, in train
dataloader, dataset = create_dataloader(train_path, imgsz, batch_size, gs, opt,
File "/home/desmond/Projects/Python/yolov5/utils/datasets.py", line 63, in create_dataloader
dataset = LoadImagesAndLabels(path, imgsz, batch_size,
File "/home/desmond/Projects/Python/yolov5/utils/datasets.py", line 396, in init
assert nf > 0 or not augment, f'{prefix}No labels in {cache_path}. Can not train without labels. See {help_url}'
AssertionError: train: No labels in ../VisDrone/VisDrone2019-DET-train/labels.cache. Can not train without labels. See https://github.com/ultralytics/yolov5/wiki/Train-Custom-Data
train: Scanning '../VisDrone/VisDrone2019-DET-train/labels.cache' images and labels... 0 found, 6471 missing, 0 empty, 0 corrupted: 100%|█| 6471/6471 [00:00<?, ?it/
(env) desmond@Goodboy:~/Projects/Python/yolov5$

[github-actions]

👋 Hello @nocolour, thank you for your interest in 🚀 YOLOv5! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.

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[glenn-jocher]

@nocolour hi there, thanks for asking about our VisDrone autodownload. For this to work correclty, you simply train with the --data visdrone.yaml argument, and the dataset should download and labels should be converted to YOLO format automatically. I'll try it now to make sure it's working.

python train.py --data visdrone.yaml

Ah, I see there's a problem. I'll try to submit a PR to fix this.

[glenn-jocher]

@nocolour good news 😃! Your original issue may now been fixed ✅ in PR #2921. To receive this update you can:

• git pull from within your yolov5/ directory
• git clone https://github.com/ultralytics/yolov5 again
• Force-reload PyTorch Hub: model = torch.hub.load('ultralytics/yolov5', 'yolov5s', force_reload=True)

Please delete your existing VisDrone download folder and start over with:

python train.py --data visdrone.yaml

Thank you for spotting this issue and informing us of the problem. Please let us know if this update resolves the issue for you, and feel free to inform us of any other issues you discover or feature requests that come to mind. Happy trainings with YOLOv5 🚀!

[nocolour]

Thank you very must. It is working now. thanks

[glenn-jocher]

Great! 😃

[miladnasiri]

hello, how can i convert the annotation to yolo 7 format?

[glenn-jocher]

@miladnasiri hi there! You can convert annotations to YOLO format using the labelImg tool or by writing a script to convert annotations manually. Another option is to use our YOLOv5 datasets tool to automatically convert annotations to YOLO format. Let me know if you need further help!