diff --git a/ganimation/solver.py b/ganimation/solver.py index 9e1533f..37ab391 100644 --- a/ganimation/solver.py +++ b/ganimation/solver.py @@ -420,10 +420,10 @@ class Solver(Utils): # img = regular_image_transform(Image.open(images_to_animate_path[idx])).unsqueeze(0).cuda() # Wrong Class - # x_adv, perturb = pgd_attack.perturb(image_to_animate, black, targets[0, :].unsqueeze(0).cuda()) + x_adv, perturb = pgd_attack.perturb(image_to_animate, black, targets[0, :].unsqueeze(0).cuda()) # Joint Class Conditional - x_adv, perturb = pgd_attack.perturb_joint_class(image_to_animate, black, targets[:, :].cuda()) + # x_adv, perturb = pgd_attack.perturb_joint_class(image_to_animate, black, targets[:, :].cuda()) # Iterative Class Conditional # x_adv, perturb = pgd_attack.perturb_iter_class(image_to_animate, black, targets[:, :].cuda()) @@ -451,11 +451,11 @@ class Solver(Utils): resulting_image = self.imFromAttReg( resulting_images_att, resulting_images_reg, x_adv).cuda() - with torch.no_grad(): - resulting_images_att_noattack, resulting_images_reg_noattack = self.G( - image_to_animate, targets_au) - resulting_image_noattack = self.imFromAttReg( - resulting_images_att_noattack, resulting_images_reg_noattack, image_to_animate).cuda() + # with torch.no_grad(): + # resulting_images_att_noattack, resulting_images_reg_noattack = self.G( + # image_to_animate, targets_au) + # resulting_image_noattack = self.imFromAttReg( + # resulting_images_att_noattack, resulting_images_reg_noattack, image_to_animate).cuda() save_image((resulting_image+1)/2, os.path.join(self.animation_results_dir, image_path.split('/')[-1].split('.')[0] @@ -465,10 +465,16 @@ class Solver(Utils): image_path.split('/')[-1].split('.')[0] + '_ref.jpg')) - l1_error += F.l1_loss(resulting_image, resulting_image_noattack) - l2_error += F.mse_loss(resulting_image, resulting_image_noattack) - l0_error += (resulting_image - resulting_image_noattack).norm(0) - min_dist += (resulting_image - resulting_image_noattack).norm(float('-inf')) + # l1_error += F.l1_loss(resulting_image, resulting_image_noattack) + # l2_error += F.mse_loss(resulting_image, resulting_image_noattack) + # l0_error += (resulting_image - resulting_image_noattack).norm(0) + # min_dist += (resulting_image - resulting_image_noattack).norm(float('-inf')) + + # Compare to input image + l1_error += F.l1_loss(resulting_image, image_to_animate) + l2_error += F.mse_loss(resulting_image, image_to_animate) + l0_error += (resulting_image - image_to_animate).norm(0) + min_dist += (resulting_image - image_to_animate).norm(float('-inf')) n_samples += 1 # Print metrics