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 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