Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

integrate keras models into training pipeline #7

Closed
wants to merge 171 commits into from

Conversation

ahundt
Copy link

@ahundt ahundt commented Feb 13, 2017

based on:
#1

@BrianOn99
Copy link

In mscoco_json2seg_mask.ipynb, there is a variable anns never defined but used once.
@ahundt Are you sure the scripts are working or I miss something?

@ahundt
Copy link
Author

ahundt commented May 23, 2017

@BrianOn99 don't use the ipynb, that's from changes that aren't mine. Also, note that the coco code puts everything into a single layer, while the actual labeling has overlapping data. http://mscoco.org/explore/?id=21079 is an example, and that would need to be resolved to get the results you're hoping for. One simple improvement would be putting tables walls at the end of the z buffer list and moving small stuff like cups plates etc to the front.

Or help the ongoing work in https://github.com/PavlosMelissinos/enet-keras/ for mscoco (also not ready for prime time).

@ahundt
Copy link
Author

ahundt commented Jun 19, 2017

#25 replaces this.

@ahundt ahundt closed this Jun 19, 2017
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

5 participants