waifu2x/.gitignore

*~
work/
cache/*.png
cache/url_*
data/*
!data/.gitkeep

models/*
!models/anime_style_art
!models/anime_style_art_rgb
!models/ukbench
!models/photo
!models/upconv_7
!models/upconv_7l
!models/srresnet_12l
!models/vgg_7
!models/cunet
models/*/*.png
models/*/*/*.png

waifu2x.log
waifu2x-*.log
waifu2x_*.log
first commit 2015-05-16 17:48:05 +12:00			`*~`
refactor 2015-10-28 19:30:47 +13:00			`work/`
first commit 2015-05-16 17:48:05 +12:00			`cache/*.png`
Add support for url cache in web.lua 2015-11-06 16:24:27 +13:00			`cache/url_*`
Fix .gitignore 2015-11-15 16:34:37 +13:00			`data/*`
refactor 2015-10-28 19:30:47 +13:00			`!data/.gitkeep`

Update .gitignore 2015-11-22 17:10:26 +13:00			`models/*`
refactor 2015-10-28 19:30:47 +13:00			`!models/anime_style_art`
			`!models/anime_style_art_rgb`
			`!models/ukbench`
Update .gitignore 2015-11-22 17:10:26 +13:00			`!models/photo`
Convert model files; Add new pretrained model - Add new pretrained model to ./models/upconv_7 - Move old models to ./models/vgg_7 - Use nn.LeakyReLU instead of w2nn.LeakyReLU - Add useful attribute to .json New JSON attribute: The first layer has `model_config` attribute. It contains: model_arch: architecture name of model. see `lib/srcnn.lua` scale_factor: if scale_factor > 1, model:forward() changes image resolution with scale_factor. channels: input/output channels. if channels == 3, model is RGB model. offset: pixel size that is to be removed from output. for example: (scale_factor=1, offset=7, input=100x100) => output=(100-7)x(100-7) (scale_factor=2, offset=12, input=100x100) => output=(1002-12)x(1002-12) And each layer has `class_name` attribute. 2016-05-15 06:04:08 +12:00			`!models/upconv_7`
Add upconv_7l models. only 2x. 2016-10-08 23:36:09 +13:00			`!models/upconv_7l`
Add GCN option for user method 2016-12-26 00:17:47 +13:00			`!models/srresnet_12l`
Convert model files; Add new pretrained model - Add new pretrained model to ./models/upconv_7 - Move old models to ./models/vgg_7 - Use nn.LeakyReLU instead of w2nn.LeakyReLU - Add useful attribute to .json New JSON attribute: The first layer has `model_config` attribute. It contains: model_arch: architecture name of model. see `lib/srcnn.lua` scale_factor: if scale_factor > 1, model:forward() changes image resolution with scale_factor. channels: input/output channels. if channels == 3, model is RGB model. offset: pixel size that is to be removed from output. for example: (scale_factor=1, offset=7, input=100x100) => output=(100-7)x(100-7) (scale_factor=2, offset=12, input=100x100) => output=(1002-12)x(1002-12) And each layer has `class_name` attribute. 2016-05-15 06:04:08 +12:00			`!models/vgg_7`
Update .gitattributes 2018-11-14 21:28:47 +13:00			`!models/cunet`
sync from internal repo - Memory compression by snappy (lua-csnappy) - Use RGB-wise Weighted MSE(R0.299, G0.587, B*0.114) instead of MSE - Aggressive cropping for edge region and some change. 2015-10-26 13:23:52 +13:00			`models//.png`
Convert model files; Add new pretrained model - Add new pretrained model to ./models/upconv_7 - Move old models to ./models/vgg_7 - Use nn.LeakyReLU instead of w2nn.LeakyReLU - Add useful attribute to .json New JSON attribute: The first layer has `model_config` attribute. It contains: model_arch: architecture name of model. see `lib/srcnn.lua` scale_factor: if scale_factor > 1, model:forward() changes image resolution with scale_factor. channels: input/output channels. if channels == 3, model is RGB model. offset: pixel size that is to be removed from output. for example: (scale_factor=1, offset=7, input=100x100) => output=(100-7)x(100-7) (scale_factor=2, offset=12, input=100x100) => output=(1002-12)x(1002-12) And each layer has `class_name` attribute. 2016-05-15 06:04:08 +12:00			`models///*.png`
refactor 2015-10-28 19:30:47 +13:00
add slide and appendix 2015-05-17 06:59:49 +12:00			`waifu2x.log`
Update .gitignore 2015-11-22 17:10:26 +13:00			`waifu2x-*.log`
Update .gitignore 2018-11-12 21:46:38 +13:00			`waifu2x_*.log`