fpl

f = torch.fft.fft2(image) # 计算频率 freqs = torch.fft.fftfreq(image.shape[-1]) print(freqs) # 设定阈值，用于分离高频和低频信息 threshold = 0.1 # 创建掩码，用于分离高频和低频信息 mask = ......

import torch from torch import nn import numpy as np import matplotlib.pyplot as plt from PIL import Image from torchvision import transforms from mat ......