App for evaluation images produced by GAN just by choosing which one is real
Look at the .env.sample
in server
and client
directories for all available configurations.
yarn install
DEV
yarn start:dev
PROD
yarn build
yarn install
DEV
yarn dev
PROD
yarn build && yarn start
All images are placed inside public
directory on the server. Real
images are placed inside real
subdirectory, fake
inside fake
.
Example tree (2 classes):
public
--- real
------ 0
---------- img1r.png
------ 1
---------- img1r.jpg
--- fake
------ 0
---------- img1f.jpg
------ 1
---------- img1f.png
Image's names does not matter. But class name directories should start from 0
. There also no need to have exactly the same amount of images per class.
Remember to create directory logs
at server top-level.
MIT, Petro Liashchynskyi