I feel using the gradient of last conv layer rule is more reasonable

[Fanshia]

Hi, I notice your algorithm is using last conv gradient times the last conv output and go through a relu function to calculate the heatmap. I don't understand why you do this but after a quick scan of the paper, I feel using the gradient of last conv layer rule is more reasonable.
I changed: "last_conv_layer = model.get_layer("conv_pw_13")" to "last_conv_layer = model.get_layer("conv_pw_13_relu") "
and remove "heatmap = np.maximum(heatmap, 0)"

But doing this, the output is more accurate to me.