def test_detect_englobing_polygon_photo():
array = _image('sheet.jpg')
points = detect_englobing_polygon(array).astype(int)
assert len(points) == 4
area = cv2.contourArea(points)
points = [(p[0, 0], p[0, 1]) for p in points]
h, w = get_target_rectangle_size(points)
assert h * w > (array.shape[0] * array.shape[1])* 1 / 3
assert w > array.shape[0]/2
assert h > array.shape[1]/2
assert h * w > area
def test_get_target_rectangle_size():
test_case = ((0, 0), (1, 0), (0.5, 0.5), (0, 1))
assert (1, 1) == get_target_rectangle_size(test_case)
nparray = np.array(test_case, dtype='float')
assert (1, 1) == get_target_rectangle_size(nparray)
