import numpy as np
from PIL import Image
import sys

def preprocess(mask_values, pil_img, scale, is_mask):
    w, h = pil_img.size
    newW, newH = int(scale * w), int(scale * h)
    assert newW > 0 and newH > 0, 'Scale is too small, resized images would have no pixel'
    pil_img = pil_img.resize((newW, newH), resample=Image.NEAREST if is_mask else Image.BICUBIC)
    img = np.asarray(pil_img)

    if is_mask:
        mask = np.zeros((newH, newW), dtype=np.int64)
        for i, v in enumerate(mask_values):
            if img.ndim == 2:
                mask[img == v] = i
            else:
                mask[(img == v).all(-1)] = i

        return mask

    else:
        if img.ndim == 2:
            img = img[np.newaxis, ...]
        else:
            img = img.transpose((2, 0, 1))

        if (img > 1).any():
            img = img / 255.0

        return img

if __name__=='__main__':
  img = Image.open(sys.argv[1])
  img = preprocess(None, img, 0.1, False)
  img = img.astype(np.float32)
  print(img.shape)

  with open(sys.argv[2],'wb') as f:
    f.write(img.tobytes())