projects/llava_sam2/models/preprocess/image_resize.py

import numpy as np
from torchvision.transforms.functional import resize, to_pil_image  # type: ignore


class DirectResize:
    def __init__(self, target_length: int) -> None:
        self.target_length = target_length

    def apply_image(self, image: np.ndarray) -> np.ndarray:
        """
        Expects a numpy array with shape HxWxC in uint8 format.
        """
        img = to_pil_image(image, mode='RGB')
        return np.array(img.resize((self.target_length, self.target_length)))