(self)

(dir)

(self, num_of_feat, num_of_module)

(self, trans_segs, ref_poses, background_image, ref_frames_foreground, ref_frames, infer=False)

(self, requires_grad=False)

(self, network, network_label, epoch_label, save_dir='')

(self, network, network_label, epoch_label, gpu_ids)

(image)

(self, label, inst, image, feat, infer=False)

(self, idx, feat, cluster_idx)

(self, net_input, feat_map)

(self, ims, txts, links, width=512)

(self, num_of_feat=256, num_of_module=1)

(self, in_num_of_feat, out_num_of_feat, num_of_stages)

(self, t)

(self, frame)

(self, str)

(self)

(opt, params, method=Image.BICUBIC, normalize=True)

(self, save=True)

(self, images)

(opt)

(self, input_label, test_image, use_pool=False)

(self, input_concat, real_data, fake_data, not_comb=True)

(opt)

(self, input_label, test_image, use_pool=False)

(self, input_label, test_image, use_pool=False)

(self, label_map, inst_map=None, real_image=None, feat_map=None, infer=False)

(self, trans_segs, ref_poses, background_image, ref_frames_foreground=None, ref_frames=None, infer=False)

(norm_type='instance')

(self, input, target_is_real)

(self, trans_segs, ref_poses, background_image, ref_frames_foreground, ref_frames)

()

(g_gan, g_gan_feat, g_vgg, d_real, d_fake)

(g_gan, g_gan_feat, g_vgg, d_real, d_fake, d_gp, g_sp, comb_g_gan, comb_g_gan_feat, co

(path)

(self, outputs_dict, inds, epoch_num, total_step, out_root=None)

(engine, batch_size, inp)

(self, img, normalize=False)

(opt)

(stage_num_of_encoder=1, module_num_of_pose_encoder=1, num_of_joint=16, module_num_of_parsing_encoder=1, num_o

(img, pos, size)

(img, flip)

(self, gpu_ids)

(self, in_channels, out_channels, kernel_size, stride, padding, dilation, transposed, output

(self, cfg='VGG16', batch_norm=False)

(self, front_end_net)

(img, base, method=Image.BICUBIC)

(img, target_width, method=Image.BICUBIC)

(self)

(self)

(self, cfg, batch_norm=False)

(self, num_of_feat, num_of_module, num_of_stages)

(self, border=1)

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

(self, seg_batch)

(v)

(self, idx_src, idx_tgt)

(engine, name, buf, mem, batchsize, inp, inp_idx)

(self, X)

(self, idx)

(self, t)

(self)

(trt_engine)

(opt, size)

(self, label, inst, image=None)

(self, use_gan_feat_loss, use_vgg_loss)

(self, use_gan_feat_loss, use_vgg_loss)

(self, opt)

(self, opt)

(self)

(self, opt)

(filename)

(N)

(self)

(self)

(self)

()

(self, errors, step)

(self, epoch, i, errors, t)

(self)

(self)

(onnx_file, data_type, bs, inp)

(engine_file, bs, it)

(self, inst)

(self, label)

(self, model, input)

(image_tensor, imtype=np.uint8, normalize=True)

(self)

()

(num_of_feat=256, num_of_class=16, num_of_module=1, num_of_stages=8)

(num_of_feat=256, num_of_class=16, num_of_module=1, num_of_stages=8)

(stage_num_of_encoder=5, module_num_of_pose_encoder=1, num_of_joint=16, module_num_of_parsing_encoder=1, num_o

(pose_encoder_cfg='VGG16', num_of_joint=16, parsing_encoder_cfg='VGG16', num_of_part=20, batch_norm=False, num

(pose_encoder_cfg='VGG16', num_of_joint=16, parsing_encoder_cfg='VGG16', num_of_part=20, batch_norm=False, num

(cfg='VGG16', batch_norm=False)

(cfg='VGG16', batch_norm=False)

(self, input, _input, target_is_real)

(self, gray_image)