Example #1
0
def tunnel_x(length, size, pos=None):
    if pos is None:
        pos = mc.player.getPos()
    x, y, z = pos
    points = taxicab_circle_x(size)
    for i in range(length):
        new_points = translate_points(points, x + i, y, z)
        set_points(new_points, mc, 17)
Example #2
0
def tunnel_y(height, size, pos=None):
    if pos is None:
        pos = mc.player.getPos()
    x, y, z = pos
    points = taxicab_circle_y(size)
    for i in range(height):
        new_points = translate_points(points, x, y + i, z)
        set_points(new_points, mc, 17)
def tunnel_y(height, size, pos=None):
    if pos is None:
        pos = mc.player.getPos()
    x,y,z = pos
    points = taxicab_circle_y(size)
    for i in range(height):
        new_points = translate_points(points, x, y+i, z)
        set_points(new_points, mc, 17)
def tunnel_x(length, size, pos=None):
    if pos is None:
        pos = mc.player.getPos()
    x,y,z = pos
    points = taxicab_circle_x(size)
    for i in range(length):
        new_points = translate_points(points, x+i, y, z)
        set_points(new_points, mc, 17)
def get_head_area(img, mask, keypoints):
    assert img is not None and mask is not None

    head_point = keypoints[rap.kp_head]
    neck_point = keypoints[rap.kp_neck]
    left_elbow = keypoints[rap.kp_left_elbow]
    right_elbow = keypoints[rap.kp_right_elbow]

    # @todo: treat case when persons are viewed from the back; the left and right side are reversed
    if left_elbow[0] > right_elbow[0]:
        left_elbow, right_elbow = right_elbow, left_elbow

    # head bounding rect in format: [x, y, w, h]
    approx_head_brect = [
        left_elbow[0], 0, right_elbow[0] - left_elbow[0], neck_point[1]
    ]

    head_area_mask = mask[approx_head_brect[1]:approx_head_brect[1] +
                          approx_head_brect[3],
                          approx_head_brect[0]:approx_head_brect[0] +
                          approx_head_brect[2]]
    contours, _ = cv2.findContours(
        head_area_mask, cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE
    )  # In recent version (4.1.2.30), this fcn returns two values

    # no head contours found
    if len(contours) == 0:
        return None, None, None

    head_contour = contours[0]
    head_contour = utils.translate_points(
        points=head_contour,
        translate_factor=(approx_head_brect[0], approx_head_brect[1]))

    # Find bounding rectangle for HEAD coordinates
    head_brect = cv2.boundingRect(head_contour)
    head_mask = np.zeros(mask.shape, dtype=np.uint8)
    cv2.drawContours(head_mask, [head_contour], -1, (255, 255, 255), -1)
    # cv2.destroyWindow('head contour')
    # cv2.imshow('head contour', head_mask)
    # cv2.waitKey(0)
    return head_brect, head_contour, head_mask