COLOI is a project for Texas Innovation Challenge, wherein we are creating such a software which can do many things with your old or dull images.
Prototype model for the TI challenge.
resize.py : Used to resize randomly sized images from the dataset and to convert it into any permissible type given by the opencv
chrominance.py : Is used to convert the dataset into u and v components of the CIELUV color space.
coloi.ipynb: Contains the prototype model for the TI challenge. It can easily detect object present in the image, change any image into over 150 color spaces, do small things like resizing the images, etc and also colorize black and white images
Gray scale images used for training are saved as a .npy file
For further details contact: Shravan Shetty