YOLOv8 Training Your Own Dataset

[smallMantou]

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Question

I created a datasets folder to place my own images while training my dataset

And write the model parameters in ultralytics 8.2.0/ultralytcs/cfg/models/v8/grayscale_yolov8s.yaml

Write dataset parameters in ultralys-8.2.0/ultralys/cfg/dataset/grayscale_data.yaml.

Finally, train it

He will prompt the following errors
OSError: [WinError 1455] 页面文件太小，无法完成操作。 Error loading "D:\A\A1\envs\YOLOv8\lib\site-packages\torch\lib\cublas64_11.dll" or one of its dependencies.

Additional

No response

[smallMantou]

ImportError: DLL load failed while importing cv2: 页面文件太小，无法完成操作。

[glenn-jocher]

Hello,

This error typically occurs due to insufficient system memory or page file size, especially when loading large libraries like OpenCV in constrained environments.

You can try increasing the size of your system's page file:

1. Go to Control Panel > System and Security > System > Advanced system settings.
2. Under the Advanced tab, click on Settings in the Performance section.
3. Go to the Advanced tab in the Performance Options window, click on Change under Virtual memory.
4. Uncheck Automatically manage paging file size for all drives.
5. Select Custom size and enter a larger initial and maximum size for your page file.
6. Click Set, then OK and restart your computer.

Make sure your Python environment has enough memory allocated, and consider closing other memory-intensive applications while running your code.

If the problem persists even after increasing the page file size, please ensure that you have all the necessary system requirements and dependencies installed for OpenCV and PyTorch.

Hope this helps! Let us know how it goes.