Exemplo n.º 1
0
def read_pose(filename):
    with open(filename, 'r') as f:
        pose = eval(f.read())
        tool_pose = calc.quatpose_to_matrix(*(np.array(pose[0]),
                                              np.array(pose[1])))
    return tool_pose
Exemplo n.º 2
0
def read_pose(filename):
    with open(filename, 'r') as f:
        pose = eval(f.read())
        tool_pose = calc.quatpose_to_matrix(*(np.array(pose[0]),
                                              np.array(pose[1])))
    return tool_pose
Exemplo n.º 3
0
                # mplot3d.draw_points(calc.points_transformation(WC, points3d[0:-1:50]), color=(1, 0, 0))
                points3d = fit.apply_transformation(laser_profile.trans,
                                                    profiles[k])
                # print points3d, laser_profile.trans
                mplot3d.draw_points(calc.points_transformation(
                    WC, points3d[0:-1:25]),
                                    color=GREEN)
    mplot3d.show()

    imgname = '../../data/fchecker.png'
    posname = '../../data/pchecker.txt'
    # Workobject
    x, y, z = (1.596609, 0.101342, 0.936394
               )  # ERROR in this measure (z aprox 1.0)
    qx, qy, qz, qw = (0.00185993, -0.00245949, -0.01122562, 0.99994981)
    W2K = calc.quatpose_to_matrix(*(np.array([x, y, z]),
                                    np.array([qx, qy, qz, qw])))
    # rot1 = calc.rpypose_to_matrix(np.array([0, 0, 0]), np.array([0, 0, -np.pi/2]))
    # rot2 = calc.rpypose_to_matrix(np.array([0, 0, 0]), np.array([0, np.pi, 0]))
    # W2K = calc.matrix_compose((W2K, rot1, rot2))
    W2T = read_pose(posname)
    img = read_image(imgname)
    grid = laser_calibration.find_chessboard(img)
    pose = laser_calibration.get_chessboard_pose(grid)
    C2K = calc.pose_to_matrix(pose)
    K2C = calc.matrix_invert(C2K)
    W2C = calc.matrix_compose((W2K, K2C))
    T2W = calc.matrix_invert(W2T)
    T2C = calc.matrix_compose((T2W, W2C))
    print W2K
    print W2T
    print K2C
Exemplo n.º 4
0
                # points3d = laser_profile.profile_to_points3d(profiles[k],
                #                                              laser_profile.homography,
                #                                              laser_profile.pose)
                # print points3d, laser_profile.pose, laser_profile.homography
                # mplot3d.draw_points(calc.points_transformation(WC, points3d[0:-1:50]), color=(1, 0, 0))
                points3d = fit.apply_transformation(laser_profile.trans, profiles[k])
                # print points3d, laser_profile.trans
                mplot3d.draw_points(calc.points_transformation(WC, points3d[0:-1:25]), color=GREEN)
    mplot3d.show()


    imgname = '../../data/frame_checker.png'
    posname = '../../data/pose_checker.txt'
    x, y, z = (1.6544, 0.0536, 0.9355) # ERROR in this measure (z aprox 1.0)
    qx, qy, qz, qw = (0.002736, -0.004958, -0.004507, 0.999974)
    W2K = calc.quatpose_to_matrix(*(np.array([x, y, z]), np.array([qx, qy, qz, qw])))
    # rot1 = calc.rpypose_to_matrix(np.array([0, 0, 0]), np.array([0, 0, -np.pi/2]))
    # rot2 = calc.rpypose_to_matrix(np.array([0, 0, 0]), np.array([0, np.pi, 0]))
    # W2K = calc.matrix_compose((W2K, rot1, rot2))
    W2T = read_pose(posname)
    img = read_image(imgname)
    grid = laser_calibration.find_chessboard(img)
    pose = laser_calibration.get_chessboard_pose(grid)
    C2K = calc.pose_to_matrix(pose)
    K2C = calc.matrix_invert(C2K)
    W2C = calc.matrix_compose((W2K, K2C))
    T2W = calc.matrix_invert(W2T)
    T2C = calc.matrix_compose((T2W, W2C))
    print W2K
    print W2T
    print K2C