| import sys | |
| import torch | |
| from collections import OrderedDict | |
| alpha = float(sys.argv[1]) | |
| net_PSNR_path = './models/RRDB_PSNR_x4.pth' | |
| net_ESRGAN_path = './models/RRDB_ESRGAN_x4.pth' | |
| net_interp_path = './models/interp_{:02d}.pth'.format(int(alpha*10)) | |
| net_PSNR = torch.load(net_PSNR_path) | |
| net_ESRGAN = torch.load(net_ESRGAN_path) | |
| net_interp = OrderedDict() | |
| print('Interpolating with alpha = ', alpha) | |
| for k, v_PSNR in net_PSNR.items(): | |
| v_ESRGAN = net_ESRGAN[k] | |
| net_interp[k] = (1 - alpha) * v_PSNR + alpha * v_ESRGAN | |
| torch.save(net_interp, net_interp_path) | |