1
0
Fork 0
mirror of synced 2024-06-26 18:20:26 +12:00
Commit graph

220 commits

Author SHA1 Message Date
nagadomi c5df72439f Fix cuda tensor error in async environment 2015-12-01 18:21:06 +09:00
nagadomi d2c081bbcf Improve alpha channel handling #29
- make border
- scale the alpha channel by waifu2x
- composite
2015-12-01 17:26:45 +09:00
nagadomi a975155828 Change downscaling filters when photo training 2015-11-30 17:19:50 +09:00
nagadomi aaac6ed6e5 Refactor training loop
more shuffle
2015-11-30 17:18:52 +09:00
nagadomi c72ec3112b Add -random_unsharp_mask_rate option for photo 2015-11-27 18:36:36 +09:00
nagadomi d8ba661d6b Add -jpeg_chroma_subsampling_rate option for JPEG denoise training 2015-11-26 17:10:57 +09:00
nagadomi 5a80a70e65 Fix error when image has alpha channel 2015-11-21 17:24:24 +09:00
nagadomi abedec9d9b Fix filter name for graphicsmagick
graphicsmagick package has bug in the definition of FilteTypes.
I will send PR to fix that bug.
This commit is related to it.
You should upgrade graphicsmagick package.

$ luarocks install graphicsmagick
2015-11-21 11:57:33 +09:00
nagadomi f7b298690d Fix the missing initialization function
I don't know why was this function removed.
2015-11-18 21:46:43 +09:00
nagadomi b5db84d42e Change the jpeg config for the photo model 2015-11-15 09:36:40 +09:00
nagadomi 42bd89151e Add -gpu option in train.lua 2015-11-13 19:26:58 +09:00
nagadomi c345f35ed0 Use Image.toString instead of Image.toBlob 2015-11-13 16:11:12 +09:00
nagadomi 3c1c11d88e directly load float data 2015-11-13 15:53:41 +09:00
nagadomi 28cc864c0c Fix NaN bug in iproc.white_noise 2015-11-12 08:03:24 +09:00
nagadomi b63e08905b Remove unused variable 2015-11-11 10:54:28 +09:00
nagadomi 4a4885c856 Add -white_noise option
post-processing for anime screencap.
2015-11-11 10:42:33 +09:00
nagadomi 0941d098e1 more round 2015-11-10 22:38:22 +09:00
nagadomi 2d5a090305 Change default -nr_rate 2015-11-10 22:07:45 +09:00
nagadomi eaeaef10b7 more flip 2015-11-09 23:45:01 +09:00
nagadomi af1b9c604b refactor 2015-11-09 04:35:11 +09:00
nagadomi b335f3a9ad Add -tta option
The TTA mode:
- 8x slower than normal mode
- improves PSNR +0.1
2015-11-09 04:01:28 +09:00
nagadomi 7d67afb982 Use iproc.crop instead of image.crop 2015-11-08 22:11:36 +09:00
nagadomi 6e41796328 Use gamma 2.2 space when resizing 2015-11-08 20:28:14 +09:00
nagadomi 180e7676e4 Drop full transparent background 2015-11-08 06:32:15 +09:00
nagadomi 797b45ae23 Use roundf-like clip for 8 bit-depth image
Maybe PSNR +0.03 improved by this commit
2015-11-08 05:44:14 +09:00
nagadomi bd63f99b59 clip 2015-11-08 01:21:52 +09:00
nagadomi 3b2aa67e55 Improve web interface 2015-11-07 22:54:29 +09:00
nagadomi 15f3f2d901 typo 2015-11-07 07:38:45 +09:00
nagadomi 84c38baab7 Fix double loading of image 2015-11-07 07:33:41 +09:00
nagadomi 3ea16b3b86 tunable parameters 2015-11-07 07:18:22 +09:00
nagadomi cf862782a5 depth 8 2015-11-07 06:39:47 +09:00
nagadomi c773e18e59 Add trade-off parameter for noise reduction 2015-11-07 06:37:53 +09:00
nagadomi 43832a9f92 Add support for depth of PNG 2015-11-06 13:12:36 +09:00
nagadomi 539941c234 Add support for url cache in web.lua 2015-11-06 12:24:27 +09:00
nagadomi 903d945652 cleanup 2015-11-06 10:08:54 +09:00
nagadomi 44208f18ab Fix handling for gamma embed PNG 2015-11-05 14:59:51 +09:00
nagadomi bbd0ff39ad Fix handling for CMYK JPEG 2015-11-03 23:20:21 +09:00
nagadomi b35a9ae7d7 tuning 2015-11-03 06:10:44 +09:00
nagadomi 490eb33a6b Minimize the weighted huber loss instead of the weighted mean square error
Huber loss is less sensitive to outliers(i.e. noise) in data than the squared error loss.
2015-10-31 22:05:59 +09:00
nagadomi 243d8821be Add -backend option to use cuDNN 2015-10-31 04:38:28 +09:00
nagadomi 9ddee6088d Add WeightedHuberCriterion 2015-10-31 04:36:20 +09:00
nagadomi 9d63ed2947 Fix gradient scale in WeightedMSECriterion 2015-10-31 04:35:33 +09:00
nagadomi 4c691b4640 refactor 2015-10-29 22:44:15 +09:00
nagadomi 21ea5dd858 add cudnn converter 2015-10-29 18:05:33 +09:00
nagadomi da786e15ba remove noise_scale training 2015-10-28 16:27:31 +09:00
nagadomi 3abc5a03e3 refactor 2015-10-28 16:01:07 +09:00
nagadomi 956ae0d24c merge from master 2015-10-26 09:39:41 +09:00
nagadomi 8dea362bed sync from internal repo
- Memory compression by snappy (lua-csnappy)
- Use RGB-wise Weighted MSE(R*0.299, G*0.587, B*0.114) instead of MSE
- Aggressive cropping for edge region
and some change.
2015-10-26 09:23:52 +09:00
Kenta Murata 306ee3c76d Fix typo 2015-08-30 10:47:20 +09:00
nagadomi ee826715b7 explicitly loading torch/cutorch 2015-08-05 16:20:45 +09:00
nagadomi 2ffa93213e remove exception handling for cunn 2015-08-05 16:03:51 +09:00
nagadomi dcd43b89fd fix missing nn in latest torch7 2015-08-05 11:49:38 +09:00
nagadomi 54580ba8c0 add data augmentation method that uses overlay 2015-08-02 22:02:14 +09:00
nagadomi 6c65463564 fix slow compression 2015-07-25 02:39:36 +09:00
nagadomi e5a2ef97c7 set compression level of the output file 2015-07-24 17:16:27 +09:00
nagadomi 8e1625d001 change the noisy:cleaned ratio of training data 2015-07-18 11:17:34 +09:00
nagadomi e3d3a8355c change training script
- add AlexNet's color noise (default: false)
- add `photo` category for noise level setting
2015-07-11 21:57:04 +09:00
nagadomi d8ca857a82 change initial weights 2015-07-11 14:52:51 +09:00
nagadomi fd9dadd7a4 use settings.validation_crop 2015-06-26 20:12:51 +09:00
nagadomi 5b4d692f03 add support for RGB color space reconstruction
- add new RGB model (models/anime_style_art_rgb).
- RGB model can reduce color noise.
- waifu2x uses this RGB model by default.

You can use Y model with:
$ th waifu2x.lua -model_dir models/anime_style_art -i input.png -o output.png
$ th train.lua -color y ...
2015-06-23 02:55:30 +09:00
nagadomi 628bd971c9 Merge branch 'master' of github.com:nagadomi/waifu2x into rgb 2015-06-22 23:04:17 +09:00
nagadomi 04c1d7f936 remove unused function 2015-06-22 23:03:14 +09:00
nagadomi 1cdceb1648 throw error when failed to load image 2015-06-22 23:01:56 +09:00
nagadomi bbc3cac273 add support for transparent png (retain the alpha channel) 2015-06-16 20:41:48 +09:00
nagadomi a706892b59 merge develop repo
- remove support for cuDNN
- add new pre-trained model and json files
- some changes in training script

If you have cuDNN model, Please run following commands to convert.
$ cp models/your_own_model.t7 models/your_own_model.t7.backup
$ th cudnn2cunn.lua -model models/your_own_model.t7
2015-06-13 15:20:40 +09:00
nagadomi 1c1f2292d1 fix ugly chroma scaling 2015-05-22 20:06:25 +09:00
nagadomi 0d115f46f6 fix data augmentation in pairwise_transform.scale 2015-05-22 18:59:25 +09:00
nagadomi ffd52fdb2b super typo fix 2015-05-19 16:47:52 +09:00
nagadomi 2231423056 update training script 2015-05-17 14:43:07 +09:00
nagadomi 1273b3609e first commit 2015-05-16 14:48:05 +09:00