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nagadomi 2016-03-21 16:12:29 +09:00
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@ -125,6 +125,13 @@ th waifu2x.lua -m noise_scale -noise_level 1 -i input_image.png -o output_image.
th waifu2x.lua -m noise_scale -noise_level 2 -i input_image.png -o output_image.png
```
### Batch conversion
```
find /path/to/imagedir -name "*.png" -o -name "*.jpg" > image_list.txt
th waifu2x.lua -m scale -l ./image_list.txt -o /path/to/outputdir/prefix_%d.png
```
See also `th waifu2x.lua -h`.
### Using photo model
@ -163,7 +170,7 @@ Generating a video from waifu2xed images and audio.
avconv -f image2 -r 24 -i new_frames/%d.png -i audio.mp3 -r 24 -vcodec libx264 -crf 16 video.mp4
```
## Training Your Own Model
## Train Your Own Model
Notes: If you have cuDNN library, you can use cudnn kernel with `-backend cudnn` option. And you can convert trained cudnn model to cunn model with `tools/cudnn2cunn.lua`.
### Data Preparation
@ -179,7 +186,7 @@ Converting training data.
th convert_data.lua
```
### Training a Noise Reduction(level1) model
### Train a Noise Reduction(level1) model
```
mkdir models/my_model
@ -190,7 +197,7 @@ th waifu2x.lua -model_dir models/my_model -m noise -noise_level 1 -i images/miku
```
You can check the performance of model with `models/my_model/noise1_best.png`.
### Training a Noise Reduction(level2) model
### Train a Noise Reduction(level2) model
```
th train.lua -model_dir models/my_model -method noise -noise_level 2 -test images/miku_noisy.png
@ -200,7 +207,7 @@ th waifu2x.lua -model_dir models/my_model -m noise -noise_level 2 -i images/miku
```
You can check the performance of model with `models/my_model/noise2_best.png`.
### Training a 2x UpScaling model
### Train a 2x UpScaling model
```
th train.lua -model_dir models/my_model -method scale -scale 2 -test images/miku_small.png