I guess there is Error at SIFID code

[junseokoh1]

I review the code and paper SinGAN

You said that Instead of using the activation vector after the last pooling layer in the Inception Network SIFID use the internal distribution of deep features at the output of the convolutional layer just before the second pooling layer.

I guess to use feature map just before the second polling layer, the code at sidif_socre.py
sifid_values = calculate_sifid_given_paths(path1,path2,1,args.gpu!='',64,suffix)
should use 192 instead 64.
Because there is no argument to choose dims implemented code use default value 64.

SinGAN/SIFID/sifid_score.py

Line 258 in 286d3cd

sifid_values = calculate_sifid_given_paths(path1,path2,1,args.gpu!='',64,suffix)

With 64 dims, the output of inception v3 is come from just before the first pooling layer.

SinGAN/SIFID/inception.py

Lines 63 to 67 in 286d3cd

	block0 = [
	inception.Conv2d_1a_3x3,
	inception.Conv2d_2a_3x3,
	inception.Conv2d_2b_3x3,
	]

Is this error or just my misunderstanding?...