(self, input1, input2)

(self, input1, input2)

(x, a, b, c)

(self, real_A, s)

(self, netG, real_A_all, fake_B_pyr, start_gpu, is_first_frame)

(self, frames_all, real_B, fake_B, flow_ref, conf_ref, t_scales, tD, n_frames_load, i, flowNet)

(response)

(response)

(response)

(self, keypoints, size)

(self, t)

(self, real_image, inst)

(self, A_path, transform_A, transform_L, size, img)

(self, loss_dict, loss_dict_T, t_scales)

(flowNet, flow_ref_all, conf_ref_all, real_B, flow_ref, conf_ref, t_scales, tD)

(self, input1, input2)

(self, input1, input2)

(args, epoch, data_loader, model, offset=0)

(self, input_A, input_B, inst_A)

(self, t_scales)

(self, data, n_gpus, tG)

(opt, modelG, modelD, data_loader)

(self, opt)

(self, opt)

(self)

(self, opt)

(self, opt)

(N)

(a,b)

(x, a, b)

(self)

(self, fid, string)

(dir)

(module, exclude=[])

(self)

(self)

(modules, weights, biases, param_prefix='fuse_')

(modules, weights, biases, param_prefix='')

(self, errors, step)

(self, data, i, input_nc, output_nc)

(self, epoch, i, errors, t)

(json_input, size, random_drop_prob=0, remove_face_labels=False, basic_point_only=False)

(self, A_path, size)

(tensors)

(self)

(self, input_A)

(self, image_dir, visuals, image_path, webpage=None)

(response, destination)

(response, destination)

(response, destination)

(self, model, input)

(output, n_label, imtype=np.uint8)

()

(file_name, unzip_path)

(file_name, unzip_path)

(opt, epoch, modelG, modelD, data_loader)

(self, input, target_is_real)

(self, img)

(self, img)

(self, gray_image)

(self)

(self, exc_type, exc_value, traceback)

(self, index)

(self, index)

(self, index)

(self, index)

(self, index)

(self, index)

(self, index)

(self, index)

(self, index)

(self, index)

(self)

(self)

(self, root, transform=None, return_paths=False, loader=default_loader)

(self)

(self, opt, model)

(self)

(self, opt, input_nc, output_nc, prev_output_nc, ngf, n_downsampling, n_blocks, use_fg_model=False, no_flow=Fa

(self, opt, input_nc, output_nc, prev_output_nc, ngf, n_downsampling, n_blocks_local, use_fg_model=False, no_f

(self, input_nc, output_nc, ngf=64, n_downsampling=3, n_blocks=9, norm_layer=nn.BatchNorm2d,

(self, input_nc, output_nc, ngf=32, n_downsample_global=3, n_blocks_global=9, n_local_enhanc

(self, input_nc, output_nc, nz, ngf=64, n_downsample_G=3, n_blocks=9, norm_layer=nn.BatchNorm

(self, input_nc, output_nc, nz, ngf=32, n_downsample_global=3, n_blocks_global=9, n_local_en

(self, dim, padding_type, norm_layer, activation=nn.ReLU(True), use_dropout=False)

(self, input_nc, output_nc, ngf=32, n_downsampling=4, norm_layer=nn.BatchNorm2d)

(self, input_nc, ndf=64, n_layers=3, norm_layer=nn.BatchNorm2d, num_D=3, getIntermFeat=False

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

(self, use_lsgan=True, target_real_label=1.0, target_fake_label=0.0, tensor=torch.FloatTensor

(self, gpu_id=0)

(self, label_nc)

(self)

(self, scale=5)

(self)

(self, args, batchNorm=False, div_flow=20)

(self, args, batchNorm=False, div_flow=20)

(self, args, batchNorm=False, div_flow=20)

(self, args, batchNorm=False, div_flow = 20.)

(self, args, batchNorm=False, div_flow = 20.)