From e38d316d5745736f96ebf84e61bf27aec6671a20 Mon Sep 17 00:00:00 2001 From: deep pomf Date: Fri, 9 Feb 2018 21:25:48 -0500 Subject: [PATCH] update --- README.md | 18 ++++++------------ 1 file changed, 6 insertions(+), 12 deletions(-) diff --git a/README.md b/README.md index dcf7754..c7fd818 100644 --- a/README.md +++ b/README.md @@ -18,9 +18,11 @@ Link coming soon ## I. Decensoring hentai +The decensorship process is fairly involved. A UI will eventually be released to streamline the process. +Crop 128 x 128 size images containing the censored regions from your images and save them as new images. For each 128 x 128 image, color the -## I. Prepare the training data +## II. Prepare the training data Put the images for training the "data/images" directory and convert images to npy format. @@ -29,22 +31,14 @@ $ cd data $ python to_npy.py ``` -The dataset will not be released - -## II. Train the GLCIC model - -``` -$ cd src -$ python train.py -``` - -You can download the trained model file: [glcic_model.tar.gz]( -https://drive.google.com/open?id=1jvP2czv_gX8Q1l0tUPNWLV8HLacK6n_Q) +The dataset will not be released. I do not want to risk trouble for distributing copyrighted pornographic material. # To do - Add a user interface - Incorporate GAN loss into training +Contributions are welcome! + # License Model is under CC BY-NC 3.0 License