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(self, requires_grad=False)

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

(self, idx, feat, cluster_idx)

(self, net_input, feat_map)

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

(dir)

(self, save=True)

(opt)

(opt)

(self, t)

()

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

(self, str)

(self)

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

(self, network, network_label, epoch_label, gpu_ids)

(self, input_label, test_image, use_pool=False)

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

(self, X)

(norm_type='instance')

(self, input, target_is_real)

(self, label, inst, image=None)

(self, opt)

(g_gan, g_gan_feat, g_vgg, d_real, d_fake)

(path)

(engine, batch_size, inp)

(self, img, normalize=False)

(opt)

(img, pos, size)

(img, flip)

(img, base, method=Image.BICUBIC)

(img, target_width, method=Image.BICUBIC)

(self, border=1)

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

(v)

(self, idx_src, idx_tgt)

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

(self, visuals, epoch, step)

(self, image, inst)

(self, idx)

(self, t)

(self)

(trt_engine)

(opt, size)

(self, use_gan_feat_loss, use_vgg_loss)

(self, opt)

(self, opt)

(self)

(filename)

(N)

(a,b)

(self)

(self)

(self)

()

(self, errors, step)

(self, epoch, i, errors, t)

(self)

(self, images)

(onnx_file, data_type, bs, inp)

(engine_file, bs, it)

(self, inst)

(self, label)

(self, webpage, visuals, image_path)

(self, model, input)

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

(self)

()

(self, input, target_is_real)

(self, gray_image)

(self, index)

(self, index)

(self, timing_iter)

(self)

(self)

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

(self)

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

(self, gpu_ids)

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

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

(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, use_sigmoid=False, num_D=3,

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

(self, web_dir, title, refresh=0)

(self, opt)

(self, n=35)

(self, pool_size)

(self)

(self)

(self)

(self, click_src, label_tgt, mask, style_id=0)

(self, click_src, label_tgt, bw, save)

(self, click_src, click_tgt)

(path)

(input_nc, ndf, n_layers_D, norm='instance', use_sigmoid=False, num_D=1, getIntermFeat=False, gpu_ids=[])

(input_nc, output_nc, ngf, netG, n_downsample_global=3, n_blocks_global=9, n_local_enhancers=1,