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This repository has been archived by the owner on Aug 18, 2020. It is now read-only.
Would it be possible to implement/show an example/tutorial of how to implement a 4 channel image input/multiple inputs (image + image, image + text) for tasks like (image segmentation/classification)? I know that some of these tasks will eventually be implemented by the community at some point (6 months after the release of a stable version), like it happened for the fastai v1. But it will boost fastai adoption if some guide to do this would be present from the beginning (personally i always fallback to keras functional api when i have to manage special inputs, etc. And I always regret what I loose when doing that).
So, would that be possible? I'm willing to contribute if you share some direction (i understand that you are probably ver busy).
Thank you!
The text was updated successfully, but these errors were encountered:
Would it be possible to implement/show an example/tutorial of how to implement a 4 channel image input/multiple inputs (image + image, image + text) for tasks like (image segmentation/classification)? I know that some of these tasks will eventually be implemented by the community at some point (6 months after the release of a stable version), like it happened for the fastai v1. But it will boost fastai adoption if some guide to do this would be present from the beginning (personally i always fallback to keras functional api when i have to manage special inputs, etc. And I always regret what I loose when doing that).
So, would that be possible? I'm willing to contribute if you share some direction (i understand that you are probably ver busy).
Thank you!
The text was updated successfully, but these errors were encountered: