(self, input_dim, output_dim, dim, n_blk, norm='none', activ='relu')

(self)

(self, x)

(self, x, model='global')

(v, eps=1e-12)

(self, network, network_label, epoch_label)

(self, x)

(self, str)

(self, ims, txts, links, width=400)

(r, c, k, height, width, radius=4, var=4, mode='Solid')

(self, network, network_label, epoch_label, gpu_ids)

(opt)

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

(img, target_width)

(self, netD, real, fake)

(opt)

(pose_joints, img_size, radius=2, draw_joints=True)

(self)

(norm_type='instance')

(net, init_type='normal')

(p)

(self, network)

()

(path)

(self, x)

(self)

(self, images)

(self, input)

(self,str,type)

(opt)

(self, dataroot)

(self)

(self)

(self)

(self, border=1)

(self)

(self)

(self)

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

(image_dir, annotations_file, savePath, sigma)

(cords, img_size, sigma=6)

(self, visuals, epoch, save_result)

(pose_joints, img_size, radius=2, draw_joints=True)

(self, x)

(self)

(peaks, height, width, radius=4, var=4, mode='Solid')

(self)

(self, image, model, layers=None)

(self)

(self)

(self, input, target_is_real)

(opt)

(self, pairLst)

(self, unpairLst)

(self, opt)

(self, opt)

(self)

(self, opt)

(filename)

(filename)

(y_str, x_str)

(y_str, x_str)

(dir)

(dir)

(pose_map, threshold=0.1)

(pose_map, threshold=0.1)

(self)

(self)

(self)

(self, x)

(self)

(self, epoch, counter_ratio, opt, errors)

(self, epoch, i, errors, t)

(kp_array, img_size, point_radius=4)

(self)

(self, label)

(self, webpage, visuals, image_path)

(self, x, statistics_code)

(indices, values, shape)

(self)

(self)

(self, input, target_is_real)

(self, x, y)

(self, index)

(self, index)

(self)

(self)

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

(self)

(self)

(self, input_nc, ngf=64, norm_layer=nn.BatchNorm2d, use_dropout=False, n_blocks=6, gpu_ids=[],

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

(self, dataroot, input_dim, dim, style_dim, n_downsample, n_res, mlp_dim, activ='relu', pad_type='reflect')

(self, dataroot, n_downsample, input_dim, dim, style_dim, norm, activ, pad_type)

(self, channel, reduction=16)

(self, n_downsample, n_res, input_dim, dim, norm, activ, pad_type, convGroup=8)

(self, n_upsample, n_res, dim, output_dim, norm='in', activ='relu', pad_type='zero', convgroup=1)

(self, fin, fout, up_flag, norm='bn', activation='relu', pad_type='zero', convgroup=1)

(self, in_nc, out_nc)

(self, input_dim ,output_dim, kernel_size, stride, padding=0, norm='none', activation='relu',