Skip to content

Add lite version of the license plate reader example #994

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

Merged

Conversation

RobertLucian
Copy link
Member

@RobertLucian RobertLucian commented May 1, 2020

A lite version of the license plate reader example is added in this PR.

The motive behind this is to provide a low barrier for experimentation for anyone that has an interest in it. It's useful because only one GPU is required.

The changes that need to be brought to cortex-examples bucket are:

  1. Rename the existing folder containing the SavedModel for YOLOv3 from yolov3 to yolov3_tf.
  2. Place this keras model at s3://cortex-examples/tensorflow/license-plate-reader/yolov3_keras/model.h5.

checklist:

  • run make test and make lint
  • test manually (i.e. build/push all images, restart operator, and re-deploy APIs)
  • update examples
  • update docs and add any new files to summary.md (view in gitbook after merging)

@vishalbollu vishalbollu merged commit 73fdf02 into cortexlabs:master May 3, 2020
@RobertLucian RobertLucian deleted the examples/lite-license-plate-reader branch May 6, 2020 09:49
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.

2 participants