Drawing of Figure 2

[rexchill]

Thank you for your excellent works. Could you please tell me how Figure 2 was drawn? I would be grateful！

[ming053l]

Hi, regarding Figure 2, you can add an output during the network's forward process to access the feature maps for visualization.

please consider the following pseudo code (especially at "")

    def forward_features(self, x):

        x_size = (x.shape[2], x.shape[3])

        x = self.patch_embed(x)
        if self.ape:
            x = x + self.absolute_pos_embed
        x = self.pos_drop(x)
       **feature_map = ""**
        for layer in self.layers:
            x = layer(x, x_size)
            **if layer == 2:**
                 **feature_map = x**
        x = self.norm(x)  # b seq_len c
        x = self.patch_unembed(x, x_size)
       
        return x, feature_map

    def forward(self, x):
        self.mean = self.mean.type_as(x)
        x = (x - self.mean) * self.img_range

        if self.upsampler == 'pixelshuffle':
            # for classical SR
            x = self.conv_first(x)
           **y, feature_map = (self.forward_features(x)**
           ** x= self.conv_after_body(y) + x**
            x = self.conv_before_upsample(x)
            x = self.conv_last(self.upsample(x))

        x = x / self.img_range + self.mean

        return x**, feature_map**