@@ -15,7 +15,7 @@ After preparing the required environment, you need to construct the bases which
Once this is done rename the folder containing all the images DEFACTO.
- Then, you can launch the script `python data_pipeline.py`, it will take a while.
This script will first gather all the images and associated masks of forged regions from the Splicing category of DEFACTO(https://defactodataset.github.io/) into two folders.
This script will first gather all the images and associated masks of forged regions from the Splicing category of [DEFACTO](https://defactodataset.github.io/) into two folders.
Then, it builds the source and target domains, a domain being a set of 128x128 forged or not forged patches obtained from spliced images of DEFACTO (eventually compressed before the cutting into patches).
Please note that by default, each domain is made of 3 fold in order to realize a 3 fold cross validation. If you don't want to do a cross validation or if you want to test more fold, you can change it straightforwardly in the file `construct_domains.py`.
