import albumentations as A
import cv2
from albumentations.pytorch import ToTensorV2

from .config import IMAGE_SIZE

test_transforms = A.Compose(
    [
        A.LongestMaxSize(max_size=IMAGE_SIZE),
        A.PadIfNeeded(
            min_height=IMAGE_SIZE, min_width=IMAGE_SIZE, border_mode=cv2.BORDER_CONSTANT
        ),
        A.Normalize(
            mean=[0, 0, 0],
            std=[1, 1, 1],
            max_pixel_value=255,
        ),
        ToTensorV2(),
    ],
)

resize_transforms = A.Compose(
    [
        A.LongestMaxSize(max_size=IMAGE_SIZE),
        A.PadIfNeeded(
            min_height=IMAGE_SIZE, min_width=IMAGE_SIZE, border_mode=cv2.BORDER_CONSTANT
        ),
    ]
)