This repository was archived by the owner on Nov 3, 2022. It is now read-only.
This repository was archived by the owner on Nov 3, 2022. It is now read-only.
additional datasets - coco + voc2012 #47
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I'm working on some code that loads ms coco and pascal voc for segmentation, but it would currently involve steps that depend on several other python libraries, including tf only steps. It could be used to create examples for the DenseNetFCN and #46 segmentation models.
I'm creating an example that trains on these keras-contrib models but with the dependency limitations mentioned above, and I can modify it for the keras-contrib code structure. However, this brings up the following questions:
- Would keras-contrib accept a contribution with those limitations?
- What would be the procedure?
- Is someone interested in adapting for more general operation?
If it makes the most sense for me to just keep everything separate, that's okay.
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