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About markec

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  1. Found an interesting graph for the training. Seem i'll just train it to 100k as from 100 to 500k there is only 0.5 PSNR difference which is pretty minimal (the detail accuracy ratio), as the program starts from 20 PSNR i think, so from 0 to 100 it's 10 PSNR and from 100 to 500 only 0.6 lol.
  2. It's automated, with every new iteration the system makes more accurate interpretation based on the source material. Basicaly it's like real life learning.... the more you do something, the better you get at it
  3. After training it for 4 hours on 50 textures that I have as a test, i can already see the potential, when I have a big enough texture set and train it fully, it should be giving perfect representation of low res textures.
  4. So i've learned how to 'train' the program, need around 100 textures to train it to recognize the ww2ol texture patterns (the more the better), the actual training takes time though, i've read that the authors trained esrgan for 500,000 iterations, my PC processes 200 iterations in 7 minutes, so it will take me 2-3 weeks of real time to 'train' the AI and the result which will be produced is unknown, but it's worth a try
  5. In the mean time while waiting for ground textures, i took some from a different game for a test and ground textures look great upscaled
  6. Latest batch is done, eliminated over processing (nr 2) completely by using a different upscaling model, now waiting for Hatch to do the magic
  7. I'm doing now a 3rd pass on the textures because i wanted to get more sharpness and detail and this is the effect