Hi people, 1. Laxminarayan has some very good suggestions. I think all of them are possible with varying degree of success. 2. Liam, I am implementing a quite popular paper for image upscaling called SRGAN. 3. Gerald, there would be a testing and validation datasets to gauge the accuracy of the neural network. The goal would be to minimize 'overfitting' of the neural network to the training dataset. You're going to lose quality when you upscale, but the upscaled images will still be better than ones produced using traditional algorithms. Sorry I haven't been able to get back to you guys before, I am caught up in work and will not be able to write code properly till something important gets over. However, I have studied generative adversarial networks (GANs) and am now learning a python ML library called PyTorch. Once this is done, I'll be able to start writing code. My main problem here seems to be the computational infraastructure, I fear that my 8 GB Nvidia Quadro M4000 will not be good enough to train on the data. If anybody had better resources they can share, please let me know. Once we have the toy GAN code set up in Python, people can play around with it for various types of projects. Cheerio, Maitraya On Sat, Mar 30, 2019 at 8:44 PM Gerald Friedland via gimp-developer-list < gimp-developer-list@xxxxxxxxx> wrote: > All, > > When people say "AI" here do they mean Neural Networks? > > "Intelligent" algorithms have been implemented in GIMP for many years. > About 15 years ago, this algorithm got integrated into GIMP: > http://www.siox.org > > Now, the reason I bring this is up is that any machine learning algorithm > needs extensive empirical testing and we setup frameworks for > that during the integration of the above algorithm. So whatever machine > learning you want to integrate in GIMP needs to come with an > independent benchmark dataset that is annotated for what you want to > achieve. This benchmark dataset is used AFTER you think you > are ready with building your algorithm. > This is, after you have trained and tested your machine learner (using yet > completely different datasets) and minimized parameters > for generalization, the benchmark dataset does not only further test > accuracy and generalization but also computational efficiency > and user experience. Question like how can the user correct errors of the > AI need to be answered too. > > On a further note, if you did this benchmark testing, you would find that > waifu2x is scam. This is, it only works with a very specialized > set of images. The first thing to investigate would be what set of images > that is and how to explain that to a GIMP user. In general, images > cannot be upscaled. The data processing inequality mathematically proofs > that information cannot be created by processing an image. > So, while many TV crime shows suggest this, algorithmically zooming into a > blurry license plate or face to make it recognizable is physically > and mathematically impossible. An independent benchmark set would show the > limits of this algorithm. > > Just my two cents, > Gerald > -- > http://www.gerald-friedland.org > > > On Fri, Mar 29, 2019 at 8:58 PM Liam R E Quin <liam@xxxxxxxxxxx> wrote: > > > On Sat, 2019-03-30 at 07:40 +0530, Laxminarayan Kamath via gimp- > > developer-list wrote: > > > just dropping a couple of ideas here > > > > [...] > > > > Something like waifu2x would be fabulous to have in GIMP (a neural > > network-based image upscaling algorithm). > > > > slave liam (ankh on IRC) > > > > > > -- > > Liam Quin - web slave for https://www.fromoldbooks.org/ > > with fabulous vintage art and fascinating texts to read. > > Click here to have the slave rewarded with cold gruel. > > > > _______________________________________________ > > gimp-developer-list mailing list > > List address: gimp-developer-list@xxxxxxxxx > > List membership: > > https://mail.gnome.org/mailman/listinfo/gimp-developer-list > > List archives: https://mail.gnome.org/archives/gimp-developer-list > > > _______________________________________________ > gimp-developer-list mailing list > List address: gimp-developer-list@xxxxxxxxx > List membership: > https://mail.gnome.org/mailman/listinfo/gimp-developer-list > List archives: https://mail.gnome.org/archives/gimp-developer-list > _______________________________________________ gimp-developer-list mailing list List address: gimp-developer-list@xxxxxxxxx List membership: https://mail.gnome.org/mailman/listinfo/gimp-developer-list List archives: https://mail.gnome.org/archives/gimp-developer-list
