OpenOOD/openood/preprocessors/test_preprocessor.py

import torchvision.transforms as tvs_trans

from openood.utils.config import Config

from .base_preprocessor import BasePreprocessor
from .transform import Convert


class TestStandardPreProcessor(BasePreprocessor):
    """For test and validation dataset standard image transformation."""
    def __init__(self, config: Config):
        super(TestStandardPreProcessor, self).__init__(config)

        # self.transform = tvs_trans.Compose([
        #     Convert('RGB'),
        #     tvs_trans.Resize(self.pre_size, interpolation=self.interpolation),
        #     tvs_trans.CenterCrop(self.image_size),
        #     tvs_trans.ToTensor(),
        #     tvs_trans.Normalize(mean=self.mean, std=self.std),
        # ])
        self.transform = tvs_trans.Compose([
            Convert('RGB'),
            tvs_trans.Resize((self.pre_size, self.pre_size)),
            # tvs_trans.CenterCrop(self.image_size),
            tvs_trans.ToTensor(),
            tvs_trans.Normalize(mean=self.mean, std=self.std),
        ])