Giters

menyifang / ADGAN

The Implementation of paper "Controllable Person Image Synthesis with Attribute-Decomposed GAN" CVPR 2020 (Oral); Pose and Appearance Attributes Transfer;

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Problem about contextual score

phchen04217 opened this issue · comments

commented

Hi @menyifang
Thanks for the great work. I want to know how to evaluate the contextual score. I ran the contextual_similarity.py in the "cx" folder and modified the path to the results from test.py. Also, I make sure that the return images of DualDataset are source images(ground truth) and generated images. However, the result of the contextual score does not seem to be the average of each data. It seems that line 180: cx += float(loss_layer(ref_single, fake_single)) sums up the contextual score of one batch and does not divide by the number of iteration(8570/48) later.