KeyError: 'version' when testing yolov5

[MagicPF]

Dataset autodownload success

Traceback (most recent call last):
File "test.py", line 355, in
main(opt)
File "test.py", line 330, in main
test(**vars(opt))
File "/home/comp/e9205945/.local/lib/python3.6/site-packages/torch/autograd/grad_mode.py", line 28, in decorate_context
return func(*args, **kwargs)
File "test.py", line 95, in test
prefix=colorstr(f'{task}: '))[0]
File "/home/comp/e9205945/yolov5/utils/datasets.py", line 79, in create_dataloader
prefix=prefix)
File "/home/comp/e9205945/yolov5/utils/datasets.py", line 393, in init
if cache['version'] != 0.3 or cache['hash'] != get_hash(self.label_files + self.img_files):
KeyError: 'version'

[github-actions]

👋 Hello @MagicPF, 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.

Requirements

Python 3.8 or later with all requirements.txt dependencies installed, including torch>=1.7. To install run:

$ pip install -r requirements.txt

Environments

YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):

• Google Colab and Kaggle notebooks with free GPU:
• Google Cloud Deep Learning VM. See GCP Quickstart Guide
• Amazon Deep Learning AMI. See AWS Quickstart Guide
• Docker Image. See Docker Quickstart Guide

Status

If this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training (train.py), testing (test.py), inference (detect.py) and export (export.py) on MacOS, Windows, and Ubuntu every 24 hours and on every commit.

[glenn-jocher]

@MagicPF your cache is far out of date since we've been using version keys for almost a year now. Please delete any *.cache files in your dataset and re-run your command.

[glenn-jocher]

@MagicPF good news 😃! Your original issue may now be fixed ✅ in PR #3730. To receive this update:

• Git – git pull from within your yolov5/ directory or git clone https://github.com/ultralytics/yolov5 again
• PyTorch Hub – Force-reload with model = torch.hub.load('ultralytics/yolov5', 'yolov5s', force_reload=True)
• Notebooks – View updated notebooks
• Docker – sudo docker pull ultralytics/yolov5:latest to update your image

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 🚀!