CarbonPool

> I don't fully understand the meaning of your question. > You can load the trained model parameters specified by `-resume ` option. > Related to: #209 > > I...

This is the output of each round of training: [======================================= 134528/134528 ===============================>] Tot: 19m2s | Step: 8ms { loss : 0.00035312999208403 MSE : 0.00071552308758262 PSNR : 32.32026436039 } # validation...

> No. It is lowest MSE(mean squared error). > The learning rate is displayed in the cosole output for each round. > > ``` > # 2 > learning rate:...

Sorry, I think I misunderstood the meaning, I thought that each "validation" represents a round, it seems that the next round is really long

> It is shown after # 2. > `-inner_epoch 4` by default, so it takes 1 round with 4 update+validation. Thank you very much for your warm help, I have...

> waifu2x-caffe requires 3 types of files to run the model. > `info.json`: metadata for the model (name, input size and etc.) > `*.prototxt`: network structure definition for caffe >...

I trained the cunet noise level2 model and added an additional `nr_rate` value of 0.75. I found that after converting to the caffe model, I found that their output images...

> Did you delete `*.protobin` (cache) after replacing json file? > The result of cunet affected by the block size of tiled processing (-crop_size option). Try adding `--crop_size 108` option...

I was worried that it was selected by the default parameters of waifu2x.lua, so I modified `crop_size` and `batch_size`, and it seems that there is still a difference. `th waifu2x.lua...

> As I recall, waifu2x and waifu2x-caffe have different definitions of crop_size. > waifu2x: input block size = crop_size > waifu2x-caffe: input block size = crop_size + model_offset(28 for cunet)...