def calc_error_prop():
# Calculating error propagation
# Points obtained from file /home/mauricio/CSV/err_calc.ods
list_image_points = np.array([[171, 96.93], [440.3, 91.73],
[32.76, 453.43], [590.23, 447.53]])
list_obj_points = np.array([[-125, 750], [125, 750], [-125, 250],
[125, 250]])
mat, _ = cv2.findHomography(list_image_points, list_obj_points)
print('Homography matrix: {0}'.format(mat))
for index in range(list_image_points.shape[0]):
point_des = 4
image_point = list_image_points[index]
image_point[0] += point_des
image_point[1] += point_des
print('Image point: {0}'.format(image_point))
obj_point = list_obj_points[index]
proj_point = ClassUtils.project_points(mat, image_point)
delta_x = proj_point[0] - obj_point[0]
delta_y = proj_point[1] - obj_point[1]
print('Projected point: {0}'.format(proj_point))
print('DeltaX: {0} - DeltaY: {1}'.format(delta_x, delta_y))
print('Done!')
def mouse_callback(event, x_image, y_image, flags, param):
global config
if event == cv2.EVENT_LBUTTONDOWN:
print('Event click - Evaluating elems ' + str(x_image) + ' ' + str(y_image))
dict_config = json.loads(config)
homo_mat = np.asarray(dict_config['homographyMat'], dtype='float')
point = np.float32([x_image, y_image, 1])
result = ClassUtils.project_points(homo_mat, point)
print(result)
print('Done')