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.

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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@MagicPF your cache is far out of date since we've been using version keys for almost a year now.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.