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specular-removal's Issues

文章

你好，请问这是哪篇文章的代码实现呢？是《A Multi-Task Network for Joint Specular Highlight Detection and Removal》？还是《CDFF-Net: Cumulative Dense Feature Fusion for Single Image Specular Highlight Removal》呢？

您好，请问这部分的代码是在做什么工作

1

def forward(self, x, M):
    """
    Parameters
    ----------
    x: Tensor of shape `(N, C, H, W)`
        特征图

    M: Tensor of shape `(N, 1, H, W)`
        图像蒙版，高光区域的像素值为 `0`
    """
    M = self.conv_M(M)
    index = M == 0
    M[index] = 1
    x = self.conv_I(M*x)
    x = F.relu(self.bn(x/M))
    M = M.masked_fill(index, 0)
    return x, M

训练时出错

您好，我在Windows训练时一切正常，但为什么会在Linux上训练时遇到错误说tensor的size不一样？
两者的环境和训练代码都是一样的，请问这可能是哪里出了错呢？

github

test environment时出错

你好！我在Test environment 时，触发了错误“图像太大啦，请缩小图像大小后再尝试~~”，我没有修改remove_specular.py中的任何代码，这是为什么呢？resource/images目录下的文件图片大小为200x200，我将图像尺寸缩小一半后（即100x100），还是触发同样的错误。这个网络能处理图片的尺寸是固定大小的吗？如果是的话，大小应该为多小？

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