pytorch中，如何實現同樣的隨機變換應用於圖像(Image)和標籤(label,mask)上

how to use the same random transform on the pair of image and mask.

重寫pytorch的dataset類的__getitem__

def __getitem__(self,index):      
        img = Image.open(self.data[index]).convert('RGB')
        target = Image.open(self.data_labels[index])
        
        seed = np.random.randint(2147483647) # make a seed with numpy generator 
        random.seed(seed) # apply this seed to img tranfsorms
        if self.transform is not None:
            img = self.transform(img)
            
        random.seed(seed) # apply this seed to target tranfsorms
        if self.target_transform is not None:
            target = self.target_transform(target)

        target = torch.ByteTensor(np.array(target))
    
        return img, target