A computer vision project which aims to remove text on images
It is a ready-to-run code after downloading data from here .
pip3 install -r requirements.txt
Open up a terminal in the main directory and run one of below commands.
If you want to train from scratch:
bash run_from_scratch.sh
If you don't want to train from scratch:
bash run_from_pretrained.sh
Notebooks are in notebooks folder.
CelebFaces Attributes (CelebA) Dataset is used in the project.
This is a repository containing more than 200,000 images of various celebrities.
Download the dataset and put the downloaded zip file in main directory. Then, unzip it.
The directories and files should be listed as below:
UNet is used as architecture. I customized it a little. About 2 million Parameters.
Predictions for some testing images are below.