3 commits

Author	SHA1	Message	Date
nagadomi	a210090033	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=(100*2-12)x(100*2-12) And each layer has `class_name` attribute.	2016-05-15 03:04:08 +09:00
nagadomi	7856ba90c7	Update trained models	2015-11-06 10:43:05 +09:00
nagadomi	95e9d276a3	add new model for photo ... - add ukbench model (models/ukbench) - ukbench model was trained by Recognition Benchmark Images (http://www.vis.uky.edu/~stewe/ukbench/) usage: $ th waifu2x.lua -m scale -model_dir models/ukbench -i input.jpg -o output.png	2015-06-23 18:03:23 +09:00