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借助上采样技术解决了GAN带来的棋盘效应。

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来源：MEF-GAN: Multi-Exposure Image Fusion via Generative Adversarial Networksclass Attention(nn.Module): def __init__(self, bn=True): super(Attention, self).__init__() self.conv1 = nn.Conv2d(6, 16, kernel_size=3, stride=2) ..

https://www.cnblogs.com/wmr95/articles/9981605.html引用博文Code:import torch import cv2import numpy as npimport torchvision import torchvision.transforms as transformsfrom PIL import Image import torch.nn as nnimport matplotlib.pyplot as pltimpor.

我们经常会遇到将图像分成一个个patch，然后输入至模型计算，将结果进行合并的操作。fromPILimportImageimporttorchvision.transformsastransformsimportmatplotlib.pyplotaspltimporttorchdefreadImage(path='13_4.jpg'):#这里可以替换成自己的图片mode=Image.open(path)transform1=tr...