Skip to content
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

Open
@ahundt

Description

@ahundt

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.

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions