CLYang617/RemoteSensingChangeDetection-RSCD.HA2F

1import cv22import os3from os.path import join as osp4import numpy5import torch.utils.data6 7 8class Dataset(torch.utils.data.Dataset):9    def __init__(self, file_root='data/', mode='train', transform=None):10        self.file_list = os.listdir(osp(file_root, mode, 'A'))11 12        self.pre_images = [osp(file_root, mode, 'A', x) for x in self.file_list]13        self.post_images = [osp(file_root, mode, 'B', x) for x in self.file_list]14        self.gts = [osp(file_root, mode, 'label', x) for x in self.file_list]15 16        self.transform = transform17 18    def __len__(self):19        return len(self.pre_images)20 21    def __getitem__(self, idx):22        pre_image_name = self.pre_images[idx]23        label_name = self.gts[idx]24        post_image_name = self.post_images[idx]25 26        pre_image = cv2.imread(pre_image_name)27        label = cv2.imread(label_name, 0)28        post_image = cv2.imread(post_image_name)29 30        img = numpy.concatenate((pre_image, post_image), axis=2)31 32        if self.transform:33            [img, label] = self.transform(img, label)34 35        return img, label36 37    def get_img_info(self, idx):38        img = cv2.imread(self.pre_images[idx])39        return {"height": img.shape[0], "width": img.shape[1]}40