[ADVANCED] Next steps .... training a Deep Learning model for image segmentation

Utility scripts

Doodler is compatible with the segmentation program, Segmentation Gym in a couple of different ways:

Scenario 1 (most common)

You wish to generate labels and images for subsequent use in Gym, specifically to make a dataset to train or test an image segmentation model

1. run gen_images_and_labels.py

This will generate 4 folders, 1 for each of the output types

images: The images you doodled

labels: The color and greyscale label images

doodles: The image with the color doodles as a semi-transparent overlay

overlays: The image with the color label as a semi-transparent overlay

Scenario 2

You wish to use the labels and images in Zoo, but wish to bypass running the Zoo program `make_datasets.py', i.e. you'd like to pass the original labels and images to the model training rather than create augmented outputs of a certain size

run gen_npz_4gym.py to create npz files that contain only image and label pairs.