semi-dehazing:半监督单图像去雾

上传者: 42131342 | 上传时间: 2022-10-29 20:19:08 | 文件大小: 491KB | 文件类型: ZIP
半监督单图像去雾 半监督单图像去雾代码。 依赖 pytorch >= 1.0 visdom 数据集制作 通过以下方式使您成为数据集: 合成图像:将两张图像(朦胧(HxWxC),清洁(HxWxC))对齐为一张图像(Hx2WxC)。 要注意的是,H和W应该是8的倍数。将它们( ./datasets/dehazing/train张图像)放在./datasets/dehazing/train 。 真实的模糊图像:将它们( ./datasets/dehazing/unlabeled张图像)放在./datasets/dehazing/unlabeled 测试图像:与1.对齐,然后将它们放在./datasets/dehazing/test 火车 您可以通过以下方式训练模型: python train.py --dataroot ./datasets/dehazing --name run_

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