(self, a=0, b=1)

(inputs, target, cls_weights, num_classes=21)

(inputs, target, beta=1, smooth = 1e-5)

(inputs, target, cls_weights, num_classes=21, alpha=0.5, gamma=2)

(inputs, target, beta=1, smooth = 1e-5, threhold = 0.5)

(self, num_classes=21)

(optimizer)

(self, loss, val_loss = 0)

(image)

(values, name_classes, plot_title, x_label, output_path, tick_font_size = 12, plt_show = True)

(image)

(gt_dir, pred_dir, png_name_list, num_classes, name_classes)

(self, image)

(image, size)

(miou_out_path, hist, IoUs, PA_Recall, Precision, name_classes, tick_font_size = 12)

(hist)

(hist)

(hist)

(net, init_type='normal', init_gain=0.02)

(self, limit=90, prob=0.7)

(r, t, fig, axes)

(self, image)

(a, b, n)

(model_train, model, loss_history, optimizer, epoch, epoch_step, epoch_step_val, gen, gen_va

(model_train, model, loss_history, optimizer, epoch, epoch_step, epoch_step_val, gen, gen_val, Epoch, cuda, di

(self)

(self, image, label, input_shape, jitter=.3, hue=.1, sat=1.5, val=1.5, random=True)

(self)

(self)

(args)

(hist)

(self, img, mask=None)

(self, img, mask=None)

(self, index)

(self, **kwargs)

(self, optimizer, total_iters, last_epoch=-1)

(self, log_dir, val_loss_flag = True)

(self, max_h_size=20, max_w_size=20, fill_value=255, prob=0.5)

(self, annotation_lines, input_shape, num_classes, train, dataset_path)

(self, log_dir, args, val_loss_flag = True)

(self, dim, # 输入token的dim num_heads=8, qkv_bias=False,

(self, channels=None, e_lambda=1e-4)

(self, in_planes, ratio=16)

(self, kernel_size=7)

(self, inplanes, planes)

(self, in_size, mid_size, out_size, upsize, att_type='channel')

(self)

(self)

(self, *stages)

(self, loss, val_loss = 0)

(model_train, model, loss_history, optimizer, epoch, epoch_step, gen, Epoch, cuda, dice_loss,

(model_train, model, loss_history, optimizer, epoch, epoch_step, gen, Epoch, cuda, dice_loss, focal_loss, cls_

(self, x)

(self, x)

(self, x)

(self, x)

(self, x)

(self, inputs1, inputs2)

(self, inputs)

(self, image, test_interval)

()

(m)

(batch)