SRCNN by Chainer

A Chainer implementation of SRCNN by Chainer(v3) and python3.
Please notice that I have used padding in the model, which is different from the original paper.
If you have any question, please feel free to contact me.

python compare_image_srcnn --input_file/-i  filename

It will downsize the given image to the low resolution image with a factor=2, then upsize it by bicubic and SRCNN respectively to generate super resolution image with a factor=2 and compare the PSNR/SSIM between the SR image and ground truth.

python generate_2x_srcnn --input_file/-i  filename

It will generate a 2x SR image of the given image by SRCNN.

python train.py --batch_size/-b  
                --epoch/-e  
                --gpu/-g  
                --out/-o  
                --snapshot_interval  
                --display_interval  
                --train_dir  
                --val_dir