Skip to content

hanyoseob/youtube-cnn-004-pytorch-resnet

Repository files navigation

ResNet 구축하기 (011 ~ 012)

초보 딥러닝 강의-011 ResNet: ResBlock & Pixel Shuffle (1부)

초보 딥러닝 강의-012 ResNet: Image Regression & Colab Pretrained Results (2부)

Denoising

python  train.py \
        --mode train \
        --network unet \
        --learning_type residual \
        --task denoising \
        --opts random 30.0         

python  train.py \
        --mode train \
        --network resnet \
        --learning_type residual \
        --task denoising \
        --opts random 30.0

Inpainting

python  train.py \
        --mode train \
        --network unet \
        --learning_type residual \
        --task inpainting \
        --opts random 0.5

python  train.py \
        --mode train \
        --network resnet \
        --learning_type residual \
        --task inpainting \
        --opts random 0.5

Super resolution

python  train.py \
        --mode train \
        --network unet \
        --learning_type residual \
        --task super_resolution \
        --opts bilinear 4.0

python  train.py \
        --mode train \
        --network resnet \
        --learning_type residual \
        --task super_resolution \
        --opts bilinear 4.0

python  train.py \
        --mode train \
        --network srresnet \
        --learning_type residual \
        --task super_resolution \
        --opts bilinear 4.0 0.0