linkedai / flip Goto Github PK

Docker devcontainer to easy start to develop with the correct dependencies.

When pip installing or on the first run, should create the required folders

BACKGROUNDS_PATTERN = "examples/data/backgrounds/*"
OBJECTS_PATTERN = "examples/data/objects/**/*"

Create a transform that allows to change the Brightness of the image

Thanks for the free code!

I would like to use this to generate toy data for unit tests in a CICD setting for closed source software to replace. Butterflies would be more pleasant to look at than the colored blobs we currently generate :) This library's code wouldn't be shipped outside our organization, so I believe that's permitted copyright-wise, but the GPL still makes me nervous; I could see myself screwing up some setting in our deployment logic, or someone other than me might decide the test suite should run at a customer after all.

Assuming you still own all the code, any chance you'd consider switching to a permissive license (Apache, BSD, MIT, whatever)?

Create a jupyter notebook to check the way labels looks like

Make the example data_generator.py work again with the new changes in the Flip company

Create a transform that allows to change the Hue of the image

The labeler module can be split in a File for each individual Transformer

In the ObjectsRandomPosition class when map method is execute was to while True and is getting doing one for ever.

The saver module can be split in a File for each individual Transformer

I have downloaded the dataset, then run the codes, but it can not work, and assert error that "TypeError: 'Element' object is not subscriptable", can anyone help me? thanks very much!

In utils.py file in the methid overlay_transparent the reference to histogram_matching_h is lost.

Find what happend.

Add initial Readme for the Library

Move all the Transformers find in the core.py file to separate Files, similar to what we do in data_augmentaion package.

Move License from MIT Another if necessary:
https://choosealicense.com/licenses/mit/
https://choosealicense.com/licenses/gpl-2.0/
https://choosealicense.com/licenses/apache-2.0/