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waifu2x/tools/export.sh
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

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#!/bin/sh -x
export_model() {
if [ -f models/${1}/scale2.0x_model.t7 ] && [ ! -h models/${1}/scale2.0x_model.t7 ] ; then
th tools/export_model.lua -i models/${1}/scale2.0x_model.t7 -o models/${1}/scale2.0x_model.json
fi
if [ -f models/${1}/noise1_model.t7 ] && [ ! -h models/${1}/noise1_model.t7 ]; then
th tools/export_model.lua -i models/${1}/noise1_model.t7 -o models/${1}/noise1_model.json
fi
if [ -f models/${1}/noise2_model.t7 ] && [ ! -h models/${1}/noise2_model.t7 ]; then
th tools/export_model.lua -i models/${1}/noise2_model.t7 -o models/${1}/noise2_model.json
fi
if [ -f models/${1}/noise3_model.t7 ] && [ ! -h models/${1}/noise3_model.t7 ]; then
th tools/export_model.lua -i models/${1}/noise3_model.t7 -o models/${1}/noise3_model.json
fi
}
export_model vgg_7/art
export_model vgg_7/art_y
export_model vgg_7/photo
export_model vgg_7/ukbench
export_model upconv_7/art