dev(narugo): fix bug of dataset transform

    def __getitem__(self, idx):

        file_path = self.samples[idx]

        # ATTENTION: DO NOT REMOVE THIS CONVERT, THIS IS IMPORTANT!!!

        # In torchvision.transforms.functional.pad, the RGB mode will be used when your input image

        # have 3 channels (no matter RGB, LAB or HSV), so the transformed image which actually passed into

        # model should be processed like this:

        # image = Image.fromarray(np.asarray(image.convert("HSV")), mode='RGB')

        # and then use `image_encode` to encode.

        image = Image.open(file_path).convert('HSV')

        image = Image.open(file_path).convert('RGB')  # image must be rgb

        if self.transform:

            image = self.transform(image)

        return image_encode(image, bins=self.bins, fc=self.fc, normalize=True), torch.tensor(self.label)