Any dataset preprocess script？

[butterl]

Hi，Thanks for sharing this project！
Any dataset preprocess script for this project ？ the RAW to jpeg preprocess way affect a lot of the the output.

what about the psnr in you training experiment , I only got 21db from the original google code， not sure if I got somthing wrong in data preprocess

Thanks

[creotiv]

This solution currently just for learning. Because Torch F.grid_smaple doesn't have triliniear interpolation that was used in original network(which is strange cause it can use 3D image as input), thus it doesnt learn enough to give good result. Hope they will add this soon. If you are interested in working solution please use this repo with TF implementation https://github.com/creotiv/hdrnet First 2 models works ok, pyramid model broken because of problem with shapes in newer version of TF. As for dataset, it should have not big variation(due to not so big network), its good for one style from +/- similar input(i mean brightness, contrast, etc) Here u can see result of training this network on small dataset(about 50 photos) https://www.slideshare.net/anikishaev/photo-echance-problems-solutions-ideas (slides 25-26) Kindly yours, Andrey Nikishaev Areas ML/DS/CV/Soft Dev/BizDev/Growth Hacking/Customer Rel/IT LinkedIn http://ua.linkedin.com/in/creotiv GitHub http://github.com/creotiv Slideshare https://www.slideshare.net/anikishaev/ Skype creotiv.in.ua Mobile +380632410666

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On Wed, Sep 4, 2019 at 5:23 AM butterl ***@***.***> wrote: Hi，Thanks for sharing this project！ Any dataset preprocess script for this project ？ the RAW to jpeg preprocess way affect a lot of the the output. what about the psnr in you training experiment , I only got 21db from the original google code， not sure if I got somthing wrong in data preprocess Thanks — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#1?email_source=notifications&email_token=AAB5CDK5CJQLDQRGXZLTOL3QH4L2TA5CNFSM4ITMTAK2YY3PNVWWK3TUL52HS4DFUVEXG43VMWVGG33NNVSW45C7NFSM4HJEDPUA>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AAB5CDOXJTZVSIG7EZPKKI3QH4L2TANCNFSM4ITMTAKQ> .

[eduardinjo]

@creotiv What kind of bug did you experience with pyramids on 1.13? I got it working for 1.14 without errors and even 2.0 worked to an extent although I have some bug with pretrained encoder I'm sure.

[creotiv]

@eduardinjo not with pyramids, but with interpolation on grid_sampler. We have 3d cube where we need to interpolate position, and for this we need trilinear interpolation. Without it it wouldn't work. Of course, we can simulate it, but it will run very slowly

[creotiv]

Ive just fixed this repo. PSNR should be around 33-35.
for dimple correction u need luma bins 8 and spatial bins 16, for more harder 16 and 32