(self, requires_grad=False)

(self, input_nc, output_nc, ngf=64, norm_layer=nn.BatchNorm2d, use_dropout=False, n_blocks=6, padding_type='re

(self, dim, padding_type, norm_layer, use_dropout, use_bias)

(self, input_nc, output_nc, num_downs, ngf=64, norm_layer=nn.BatchNorm2d, use_dropout=False)

(self, outer_nc, inner_nc, input_nc=None, submodule=None, outermost=False, innermost=False, n

(self, input_nc, ndf=64, n_layers=3, norm_layer=nn.BatchNorm2d, use_sigmoid=False)

(self, input_nc, ndf=64, n_layers=3, norm_layer=nn.BatchNorm2d, use_sigmoid=False)

(self, input_nc, ndf=64, norm_layer=nn.BatchNorm2d, use_sigmoid=False)

(self, crop_size)

(self, input_nc, nfilters_enc)

(self, input_nc, nfilters_enc)

(self, nfilters_dec, nfilters_enc, num_skips = 1)

(self, nfilters_dec, nfilters_enc, num_skips = 1)

(self, input_nc, pose_dim, image_size, nfilters_enc, nfilters_dec, warp_skip, use_input_pose=True)

(self, input_nc, pose_dim, image_size, nfilters_enc, nfilters_dec, warp_skip, use_input_pose=True)

(self, technique='cyclegan', verbose=True)

(self, number_of_transforms, init_image_size, warp_skip)

(self, number_of_transforms, init_image_size, warp_skip)

(self)

(self)

(self)

(self)

(array1, array2, pose_dim)

(kp_array)

(cords, img_size, sigma=6)

(path)

(input_nc, ndf, which_model_netD, n_layers_D=3, norm='batch', use_sigmoid=False, init_type='norma

(input_nc, ndf, which_model_netD, n_layers_D=3, norm='batch', use_sigmoid=False, init_type='norma

(input_nc, output_nc, ngf, which_model_netG, norm='batch', use_dropout=False, init_type='normal', gpu_ids=[])

(input_nc, pose_dim, image_size, nfilters_enc, nfilters_dec, warp_skip, init_type, use_input_pose=True, gpu_id

(net, name='network')

()

(pose_map, threshold=0.1, **kwargs)

(array1, pose_dim, img_size)

(array1, array2, pose_dim)

(self)

(self, img)

(self, input)

(self, x)

(self, input)

(self, x)

(self, input)

(self, input, fade_in_alpha=0)

(self, input)

(self, input)

(self, input)

(self, input)

(self, input, fade_in_feat=0, fade_in_alpha=0)

(self, input)

(self, skips)

(self, skips)

(self, input, warps, masks, fade_in_app, fade_in_pose, fade_in_alpha)

(self, input, down_input, warps, masks, warps_128, masks_128,fade_in_alpha)

(self, input, transforms)

(self, input, warps, masks)

(self, input, warps, masks)

(self)

(self)

(self)

(model_name)

(optimizer, opt)

(opt)

(all_peaks, subsets)

(m)

(m)

(self, opt)

(self, opt)

(self, parser)

(self, opt)

(epoch)

(self)

(X)

(paths)

(parser, is_train)

(self)

(self)

(self)

(self)

(array2, img_size, pose_dim)

(x, val=True, shp=False)

(image_numpy, image_path)

(self, which_epoch)

(self, fade_in_alpha)

(self, input)

(input_image, imtype=np.uint8)

(self,opt)

(self)