(self)

(self)

(self, metrics, epoch=None)

(img)

(img)

(img)

(self, new_mode=None)

(self, new_mode=None)

(tar_img, prd_img)

(self, data, **kwargs)

(self, low, high)

(self, low, high)

(self, a, b)

(self, index)

(self, index)

(self, index)

(self, index)

(self, index)

(self, index)

(self, index)

(self, index)

(self, net='alex', use_gpu=False)

(self, rgb_range, rgb_mean, rgb_std, sign=-1)

(self, window_size=11, size_average=True)

(self)

(self, vgg_model)

(self, dim)

(self, dim)

(self, dim)

(self, drop_prob: float = 0., scale_by_keep: bool = True)

(self, in_channels, out_channels)

(self, num_channels)

(self, alpha=0.5)

(self, n_embd, n_layer, layer_id, shift_mode='q_shift', channel_gamma=1/4, shift_pixel=1, ini

(self, n_embd, n_layer, layer_id, shift_mode='q_shift', channel_gamma=1/4, shift_pixel=1, hid

(self, normalized_shape)

(self, img_size=32, patch_size=16, in_channels=3,

(self, dim, channel_first=True, seed=42)

(self, window_size: int = 11, reduction: str = 'mean', max_val: float = 1.0)

(self, eps=1e-3)

(self)

(self)

(self, optimizer, last_epoch=-1)

(self, optimizer, start_lr=0.03, end_lr=5e-4, epochs=50, last_epoch=-1, **kwargs)

(self, optimizer, start_lr=0.01, end_lr=None, step=10, mult=0.1, epochs=50, last_epoch=-1, **

(self, optimizer, start_lr=0.01, end_lr=None, steps=[10, 20, 30, 40], mult=0.5, epochs=50,

(self, optimizer, start_lr=0.01, end_lr=0.005, epochs=50, last_epoch=-1, **kwargs)

(self, optimizer, start_lr=0.01, end_lr=0.005, epochs=50, last_epoch=-1, **kwargs)

(self, optimizer, warmup, normal, epochs=50, last_epoch=-1)

(self, max_val=0)

(self, visdom, show_data, title)

(self, visdom, show_data, title)

(self, visdom, show_data, title)

(self, visdom, show_data, title)

(self, visdom, show_data, title, flip=False)

(self, visdom, show_data, title, feat_shape, registered_blocks)

(self, visdom, show_data, title)

(self, visdom, show_data, title)

(self, visdom, show_data, title)

(self, visdom, show_data, title)

(self, visdom, show_data, title)

(self, optimizer, multiplier, total_epoch, after_scheduler=None)

(self)

(self, crop_size, train_data_dir)

(self, dataset_name,val_data_dir)

(self, val_data_dir)

(self, images_path, mode='train', expert='c', normalize=False)

(self, rgb_dir, img_options=None)

(self, rgb_dir, img_options=None, rgb_dir2=None)

(self, images_path, mode='train', normalize=False)

(self)

(self)

(self)

(self)

(self)

(self)

(self)

(self)

(self)

(self)

(optimizer, config, epochs=50, last_epoch=-1)

(x)

(self, m)

(x)

(x, channel_shift_list)

(x, spatial_shift_list, channel_shift_list, inter_feat)

(optimizer, epoch, lr_decay=0.5)

(self, rgb_gt, rgb_noisy)

(img1, img2, data_range=None)

(self, data)

(self, data)

(self, data)

(im)

(img1, img2, border=0)

(net_input, net_output)

(self, im1, im2, prob=1.0, alpha=1.0)