fc0f28ef337bb7b087fbba43fb085af27d34d846,torchsample/transforms/image_transforms.py,Contrast,__call__,#Contrast#,220

Before Change

        self.var = var

    def __call__(self, x, y=None):
        channel_means = x.mean(1)
        for i in range(2,x.dim()):
            channel_means = channel_means.mean(i)
        channel_means = channel_means.expand_as(x)

        x = (x - channel_means) * self.var + channel_means
        if y is not None:

After Change

        x = th.clamp((x - channel_means) * self.value + channel_means,0,1)

        if y is not None:
            channel_means = y.mean(1).mean().expand_as(y)
            y = th.clamp((y - channel_means) * self.value + channel_means,0,1)       
            return x, y
        return x

Instances