async _call(images) {
        const result = await super._call(images);

        // TODO support differently-sized images, for now assume all images are the same size.
        // TODO support different mask sizes (not just 64x64)
        // Currently, just fill pixel mask with 1s
        const maskSize = [result.pixel_values.dims[0], 64, 64];
        const pixel_mask = full(maskSize, 1n);

        return { ...result, pixel_mask };
    }
Calls the feature extraction process on an array of images, preprocesses
each image, and concatenates the resulting features into a single Tensor.
@param {import('../../utils/image.js').RawImage[]} images The image(s) to extract features from.
@returns {Promise<DetrFeatureExtractorResult>} An object containing the concatenated pixel values of the preprocessed images.