Error in Fake Filesystem Simulation During YOLOv8 Training

[SubhadipMaji]

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• I have searched the Roboflow Notebooks issues and found no similar bug report.

Description

I am using pyfakefs to simulate a filesystem for creating and managing datasets dynamically for YOLOv8 training. The workflow includes:

Simulating the Filesystem: Using pyfakefs to create a directory structure for YOLOv8 (train/images, train/labels, val/images, val/labels).

Creating and Using Dataset: Populating the structure with files retrieved from an SQLite database and splitting them into training and validation sets.

Creating data.yaml: Generating a data.yaml file containing paths to the dataset folders within the simulated filesystem.

Initiating YOLOv8 Training: Attempting to train the YOLOv8 model using the ultralytics library, specifying data.yaml in the simulated filesystem as the dataset configuration.

However, when I start training, I encounter the following error:
OSError: [Error 9] Bad file descriptor in the fake filesystem: '5'

Additional

Cause of the Error: Why does this error occur when using pyfakefs? Could it be due to the library requiring direct access to file descriptors or OS-level operations that are incompatible with the fake filesystem?

Workarounds: Is there a way to bypass this issue in pyfakefs, such as allowing certain operations to fall back to the real filesystem?

Alternatives: If pyfakefs cannot support this use case, are there other libraries or methods to simulate a filesystem for training applications like YOLOv8?

Are you willing to submit a PR?

• Yes I'd like to help by submitting a PR!