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Guidance on Training with Custom Dataset
I am interested in using the Neural-3D-Face model for a project, and I would like to train it on my own dataset. I have reviewed the documentation and issues but haven't found specific guidelines on how to adapt the training process for a custom dataset.
Could you please provide detailed steps or guidelines on how to prepare and integrate a custom dataset into the training pipeline? Additionally, are there any specific requirements or modifications that need to be made to the dataset format or the training code?
I am particularly interested in understanding the following:
- The format and structure required for the dataset (e.g., file types, annotations, directory structure).
- Any preprocessing steps that are necessary before training.
- Adjustments to the training parameters or configuration files that might be required for a custom dataset.
Thank you very much for your help and for developing this interesting project!
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