def test_decode(self):
arr = [[1, 0, 1, 0, 1, 0],
[1, 0, 0, 0, 0, 1],
[1, 0, 0, 1, 0, 0],
[1, 1, 0, 1, 0, 1],
[1, 1, 0, 1, 1, 0],
[1, 1, 1, 1, 1, 1]]
expect = 683
self.assertTrue(DataMatrixCrypto.decode(arr) == expect)
before = 62792
matrix = DataMatrixCrypto.encode(before)
after = DataMatrixCrypto.decode(matrix)
self.assertTrue(before == after)
def read_matrix(self, rect):
"""
@param rect is two dimention array with point of a rectangle surrounding matrix area on image
@return true if matrix is read succesfully or false if not
Function read matrix in selected area.
"""
wx = (rect[1][0] - rect[0][0]) / self.size
wy = (rect[1][1] - rect[0][1]) / self.size
vx = (rect[3][0] - rect[0][0]) / self.size
vy = (rect[3][1] - rect[0][1]) / self.size
first = [rect[0][0] + (wx + vx) / 2, rect[0][1] + (wy + vy) / 2]
try:
matrix = [[self.th[first[1] + i * wy + j * vy][first[0] + i * wx + j * vx] for i in range(self.size)] for j
in range(self.size)]
except IndexError:
return None
if self.check_matrix(matrix):
print(True)
self.detected = True
print(matrix)
self.id = DataMatrixCrypto.decode(self.turn_matrix(matrix))
print(matrix)
print(self.id)
return True
else:
self.detected = False
return False
def test_encode(self):
expect = [[1, 0, 1, 0, 1, 0],
[1, 0, 0, 0, 0, 1],
[1, 1, 0, 1, 0, 0],
[1, 0, 1, 1, 1, 1],
[1, 0, 1, 1, 0, 0],
[1, 1, 1, 1, 1, 1]]
arr = DataMatrixCrypto.encode(2678)
self.assertTrue(arr == expect)
def create_data_matrix(image_size, mat_id, matrix_size, path='data_matrixes/'):
"""
@param image_size
@param mat_id id of matrix to draw
@param matrix_size - size square matrix
@param path to save the image
Function draw data matrix and save it.
"""
matrix = DataMatrixCrypto.encode(mat_id)
square_size = image_size // matrix_size
image = DataMatrixCreator.create_blank(image_size, image_size)
cv2.rectangle(image, (0, 0), (image_size - 1, image_size - 1), (0, 0, 0), 1, 1)
for i in range(matrix_size):
for j in range(matrix_size):
if matrix[-i-1][j] == 1:
pt1 = (i * square_size, j * square_size)
pt2 = ((i+1) * square_size, (j+1) * square_size)
cv2.rectangle(image, pt1, pt2, (0, 0, 0), -1, 1)
cv2.imwrite(path + str(mat_id) + '.jpg', image)
