(self, mean, std)

(self, size, interpolation=Image.BILINEAR)

(self, n_classes)

(self, image_root, gt_root, trainsize, augmentations)

(self, image_root, gt_root, testsize)

(self, image_root, gt_root, trainsize, augmentation, split='train', color_image=True)

(self, transforms)

(self, size, padding=0)

(self, size)

(self, size)

(self, size)

(self, size)

(self, degree)

(self, size)

(self, crop_size, stride_rate, ignore_label)

(self, crop_size, stride_rate, ignore_label)

(self, in_channels, kernel_sizes, stride, activation='relu6', dw_parallel=True)

(self, in_channels, out_channels, stride, kernel_sizes=[1,3,5], expansion_factor=2, dw_parallel=True, add=True

(self, in_channels, out_channels, kernel_size=3, stride=1, activation='relu')

(self, F_g, F_l, F_int, kernel_size=3, groups=1, activation='relu')

(self, kernel_size=7)

(self, channels=[512,320,128,64], kernel_sizes=[1,3,5], expansion_factor=6, dw_parallel=True, add=True, lgag_k

(self, num_classes=1, kernel_sizes=[1,3,5], expansion_factor=2, dw_parallel=True, add=True, lgag_ks=3, activat

(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0., sr_ratio=1)

(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0., dr

(self, img_size=224, patch_size=7, stride=4, in_chans=3, embed_dim=768)

(self, img_size=224, patch_size=16, in_chans=3, num_classes=1000, embed_dims=[64, 128, 256, 512],

(self, dim=768)

(self, **kwargs)

(self, **kwargs)

(self, **kwargs)

(self, **kwargs)

(self, **kwargs)

(self, **kwargs)

(self, inplanes, planes, stride=1, downsample=None)

(self, inplanes, planes, stride=1, downsample=None)

(self)

(self)

(self)

(self)

(module, name, scheme='')

(self, m)

(self, m)

(self, m)

(self, m)

(self, m)

(dir_name)

(self, img, gt)

(predictions, gts, num_classes)

(self, inputs, targets)

(self, inputs, targets)

(self, x)

(self, inputs, target, weight=None, softmax=False)

(self, x)

(self, x)

(self, x)

(self, g, x)

(self, x)

(self, x)

(self, x, skips)

(self, x, mode='test')

(self, x, H, W)

(self, x, H, W)

(self, x, H, W)

(self, x)

(self, x)

(self, x, H, W)

(self, x)

(self, x)

(self, x)

(self)

(self)

(image_root, gt_root, batchsize, trainsize, shuffle=False, num_workers=4, pin_memory=True, augmentation=False)

(in_channels, out_channels, kernel_size)

(self, pretrained=None)

(*models)

(self)

(self)

(input_tensor,dataset,n_classes = None)

(model, input_size=(3, 224, 224))

(self, num_classes, global_pool='')

(self, drop_path_rate)

(single_forward)

(args, model, snapshot_path)

(model, image)

(self, val, n=1)

(worker_id)

(self, x)