The idea of colorization is given a grayscale image as input, the model hallucinates a plausible, vibrant & realistic colorized version of the image. "#### About Colorization-v2\n", "* The colorization-v2 model is one of the colorization group of models designed to perform image colorization.\n", "* Model was trained on ImageNet dataset.\n", "* Model consumes as input L-channel of LAB-image and give as output predict A- and B-channels of LAB-image.\n", "\n", "#### About Colorization-siggraph\n", "* The colorization-siggraph model is one of the colorization group of models designed to real-time user-guided image colorization.\n", "* Model was trained on ImageNet dataset with synthetically generated user interaction.\n", "* Model consumes as input L-channel of LAB-image and yields output predict A- and B-channels of LAB-image.\n", "\n", "Check out colorization repository for more details."
This notebook demonstrates how to colorize images with OpenVINO using the Colorization model colorization-v2 or colorization-siggraph from Open Model Zoo based on the paper Colorful Image Colorization.
If you have not done so already, please follow the Installation Guide to install all required dependencies.