import cv2
import numpy as np
import sys


def test_transformation(img):
    print("Path of the image: ", img)
    print("CVtest: load the image")
    img = cv2.imread(img, cv2.IMREAD_UNCHANGED)
    print("Original Dimensions: ", img.shape)

    scale_percent = 60  # percent of original size
    width = int(img.shape[1] * scale_percent / 100)
    height = int(img.shape[0] * scale_percent / 100)
    dim = (width, height)

    # Scaling
    res = cv2.resize(img, dim, fx=2, fy=2, interpolation=cv2.INTER_CUBIC)
    # Translation
    rows, cols, _ = img.shape
    M = np.float32([[1, 0, 100], [0, 1, 50]])
    dst = cv2.warpAffine(img, M, (cols, rows))
    print("Successfully test OpenCV with image transformation")


if __name__ == "__main__":
    test_transformation(sys.argv[1])