I defined a custom Dataset as shown below：
class VideoQuality_torchResize(Dataset):
    def __init__(self,imagelist):
        with open(imagelist) as f:
            self.lines = f.readlines()
    
    def __len__(self):
        return len(self.lines)
    
    def __getitem__(self,index):
        if '\t' in self.lines[index]:
            imgPath,label = self.lines[index].split('\t')
        else:
            imgPath,label = self.lines[index].split(' ')

        label = int(label.split('\n')[0])
        img = cv2.imread(imgPath)[...,::-1] 
        return img,label,imgPath

and I define a transform as shown below:
trainVal_transform = transforms.Compose([
    transforms.Resize((224, 224)), 
    transforms.ToTensor(),  
    transforms.Normalize(mean, std)  
])

and I try to combine them as shown below：
train_dataset = VideoQuality_torchResize(trainlist,transform = trainVal_transform)

I change my image as a txt file list, in VideoQuality_torchResize, and the program tell me that：
Traceback (most recent call last):
  File "videoquality_train_torchresize.py", line 41, in <module>
    train_dataset = VideoQuality_torchResize(trainlist,transform = trainVal_transform)
TypeError: __init__() got an unexpected keyword argument 'transform'

I know that  VideoQuality_torchResize class haven’t transorm params,So can you tell me how to slove this problem?