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关于“fusion_arbitary_size_TransMEF_gray.py” #16
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对拼接后的全局图像进行一次MaxMinNormalization可以解决该问题,如下: def fuse(img1, img2):
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Thanks for solving this issue! |
你好 我下载了谷歌网盘里的best_model.pth,然后运行fusion_gray_TransMEF.py时,说模型有问题。raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format( |
22年那时候下的模型是可以跑的,不知道作者的谷歌网盘后面有没有更新模型。 |
你好,非常感谢关于上一个issue的解答!再次打扰一下,我在测试中发现以“fusion_arbitary_size_TransMEF_gray.py”融合后的图片和以“fusion_gray_TransMEF.py”融合后的图片不同。其中滑窗融合方法得到图片质量较差。两个方法采用的数据,模型是一致的。
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