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Training crash on first validation: Error in processing validate dataset path #3644
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👋 Hello @thanhminhmr, 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. If this is a 🐛 Bug Report, please provide screenshots and minimum viable code to reproduce your issue, otherwise we can not help you. If this is a custom training ❓ Question, please provide as much information as possible, including dataset images, training logs, screenshots, and a public link to online W&B logging if available. For business inquiries or professional support requests please visit https://www.ultralytics.com or email Glenn Jocher at glenn.jocher@ultralytics.com. RequirementsPython 3.8 or later with all requirements.txt dependencies installed, including $ pip install -r requirements.txt EnvironmentsYOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):
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@thanhminhmr thanks for the bug report! Yes this looks like a problem. This should be fixable by updating this line to: is_coco = type(data['val']) is str and data['val'].endswith('coco/val2017.txt') # COCO dataset If this fix works well in your use case can you please submit a PR with it to help everyone else in the future? Thank you! |
The tool crash while training from scratch, the trace point to this line in test.py.
yolov5/test.py
Line 81 in d808855
This is most likely an oversight in the code:
While the dataset file allows list of train/validation data sources (for example in coco128.yaml), the portion of code from above doesn't accept list.
yolov5/data/coco128.yaml
Line 12 in d808855
This is the related part of the dataset.yaml.
I'm unfamiliar with python so I cannot create a patch, but this should be a simple fix. (By adding type check before the endswith call)
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