def test_ops(self):
p0 = almath.Position3D(0.1, 0.2, 0.4)
p1 = almath.Position3D(0.3, -0.2, 0.9)
pAdd = p0 + p1
pExp = almath.Position3D(p0.x + p1.x, p0.y + p1.y, p0.z + p1.z)
self.assertTrue(pAdd.isNear(pExp))
factor = 0.2
pFact = p0 * factor
pExp = almath.Position3D(p0.x * factor, p0.y * factor, p0.z * factor)
self.assertTrue(pFact.isNear(pExp))
def convert_laser_position(self, sensor_device, laser_x, laser_y):
t_world2robot = almath.transformFromPose2D(almath.Pose2D(self.robot_pose))
t_device2point = almath.transformFromPosition3D(almath.Position3D(laser_x, laser_y, 0))
t_robot2device = almath.transformFromPosition6D(self.device_position_list[sensor_device])
t_world2point = t_world2robot * t_robot2device * t_device2point
p2d_world2point = almath.pose2DFromTransform(t_world2point)
return (p2d_world2point.x, p2d_world2point.y)
def callback(self, poseStamped):
pose = Pose(poseStamped.pose.position, poseStamped.pose.orientation)
quat = almath.Quaternion(pose.orientation.w, pose.orientation.x,
pose.orientation.y, pose.orientation.z)
rotation = almath.rotation3DFromQuaternion(quat)
position3d = almath.Position3D(pose.position.x, pose.position.y,
pose.position.z)
worldToTarget = almath.Pose2D(position3d.x, position3d.y, rotation.wz)
worldToRobot = almath.Pose2D(self.motionProxy.getRobotPosition(True))
robotToTarget = almath.pinv(worldToRobot) * worldToTarget
robotToTarget.theta = almath.modulo2PI(robotToTarget.theta)
self.motionProxy.moveTo(robotToTarget.x, robotToTarget.y,
robotToTarget.theta)
def convert_laser_position(self, sensor_device, laser_x, laser_y):
# ワールド座標系におけるロボット位置の変換行列
t_world2robot = almath.transformFromPose2D(
almath.Pose2D(self.robot_pose))
# デバイス→レーザー点群
t_device2point = almath.transformFromPosition3D(
almath.Position3D(laser_x, laser_y, 0))
# ロボット→デバイス
t_robot2device = almath.transformFromPosition6D(
self.device_position_list[sensor_device])
# ワールド座標系におけるレーザー点群
t_world2point = t_world2robot * t_robot2device * t_device2point
p2d_world2point = almath.pose2DFromTransform(t_world2point)
return (p2d_world2point.x, p2d_world2point.y)
def convert_laser_position(self, laser_values):
try:
# ロボットの位置
t_world2robot = almath.transformFromPose2D(almath.Pose2D(self.robot_pose))
for sensor_device in range(1):
for point_num in range(15):
laser = laser_values[sensor_device][point_num]
# センサデバイスから点群までの距離
t_device2point = almath.transformFromPosition3D(almath.Position3D(laser[0], laser[1], 0))
# センサデバイスの位置・姿勢
t_robot2device = almath.transformFromPosition6D(self.device_position_list[sensor_device])
# ワールド座標系におけるレーザー点群の位置
t_world2point = t_world2robot * t_robot2device * t_device2point
p2d_world2point = almath.pose2DFromTransform(t_world2point)
laser_values[sensor_device][point_num] = (p2d_world2point.x, p2d_world2point.y)
except Exception as errorMsg:
failure(errorMsg)
return laser_values
def test_distance(self):
p0 = almath.Position3D()
self.assertAlmostEqual(p0.distance(p0), 0.0)
p1 = almath.Position3D(0.2, 0.0, 0.0)
self.assertAlmostEqual(p0.distance(p1), p1.x)
def test_init(self):
p = almath.Position3D()
self.assertAlmostEqual(p.x, 0.0)
self.assertAlmostEqual(p.y, 0.0)
self.assertAlmostEqual(p.z, 0.0)
def calc_marker(self):
print("calculation marker information")
start_time = time.time()
try:
self.image_remote = self.camera.getImageRemote(self.subscriber_id)
except Exception as message:
self.unsubscribe()
print(str(message))
if not self.image_remote:
self.unsubscribe()
raise Exception("No data in image")
camera = self.params["camera"]
camera_name = CAMERAS[camera]
seconds = self.image_remote[4]
micro_seconds = self.image_remote[5]
t_world2camera = almath.Transform(
self.motion._getSensorTransformAtTime(
camera_name, seconds * 10e8 + micro_seconds * 10e2))
t_robot2camera = almath.Transform(
self.motion.getTransform(camera_name, 2, True))
resolution = self.params["resolution"]
x, y = CAMERA_DATAS_AT_RESOLUTION[resolution]["image_size"]
color_space, channels = self.params["color_space_and_channels"]
image = numpy.frombuffer(self.image_remote[6],
dtype=numpy.uint8).reshape(y, x, channels)
if self.params["color"] and color_space == vd.kBGRColorSpace:
print("Thresholding image...")
lower_b = tuple([int(val) for val in self.params["color"]])
upper_b = (255, 255, 255)
image = cv2.inRange(image, lower_b, upper_b)
print("Thresholding image done")
p6Ds = dict()
corners, ids, rejectedImgPoints = cv2.aruco.detectMarkers(
image, self.params["dictionary"])
result = False
if ids is not None:
try:
if [328] in ids:
count = 0
for _id in ids:
print(_id)
if _id == [328]:
break
count = count + 1
rvecs, tvecs, _ = cv2.aruco.estimatePoseSingleMarkers(corners, \
self.params["size"], \
CAMERA_DATAS_AT_RESOLUTION[resolution]["matrix"], \
CAMERA_DISTORTION_COEFF)
tvec = tvecs[count][0]
x, y, z = tvec[2], -tvec[0], -tvec[1]
p3d_camera2target = almath.Position3D(x, y, z)
rvec = rvecs[count][0]
wx, wy, wz = rvec[2], -rvec[0], -rvec[1]
proj_rvec, _ = cv2.Rodrigues(numpy.array([wx, wy, wz]))
r_camera2target = almath.Rotation(proj_rvec.flatten())
t_camera2target = almath.transformFromRotationPosition3D(
r_camera2target, p3d_camera2target)
r3d_correction = almath.Rotation3D(0., 3 * math.pi / 2, 0)
t_corretion = almath.transformFromRotation3D(
r3d_correction)
t_world2target = t_world2camera * t_camera2target * t_corretion
t_robot2target = t_robot2camera * t_camera2target * t_corretion
p6D_world2target = almath.position6DFromTransform(
t_world2target)
p6D_robot2target = almath.position6DFromTransform(
t_robot2target)
print("[x,y,theta] = [{},{},{}]".format(
p6D_robot2target.x, p6D_robot2target.y,
math.degrees(p6D_robot2target.wz)))
#p6Ds[ids] = {
# "robot2target": list(p6D_robot2target.toVector())
#"world2target": list(p6D_world2target.toVector())
#}
result = True
print("ID:" + str(ids))
except Exception as message:
print("failed: {}".format(str(message)))
self.unsubscribe()
else:
result = False
print("No Marker")
delta_time = time.time() - start_time
return result
print 'Check print of almath struct' print 'Check Pose2D' pose2D = m.Pose2D(0.0, 1.3, 2.9) print pose2D.__repr__() print pose2D print '' print 'Check Position2D' position2D = m.Position2D(0.1, 0.2) print position2D.__repr__() print position2D print '' print 'Check Position3D' position3D = m.Position3D(0.1, 0.2, 0.3) print position3D.__repr__() print position3D print '' print 'Check Position6D' position6D = m.Position6D(0.1, 0.2, 0.3, 0.4, 0.5, 0.6) print position6D.__repr__() print position6D print '' print 'Check PositionAndVelocity' PositionAndVelocity = m.PositionAndVelocity(0.1, 0.2) print PositionAndVelocity.__repr__() print PositionAndVelocity print ''
def _detect_markers(self, params, image, t_world2camera, timestamp):
t = time.time()
# self.logger.info("_detect_markers...")
p6Ds = dict()
corners, ids, rejectedImgPoints = cv2.aruco.detectMarkers(
image, params["dictionary"])
try:
ids = [int(_id) for _id in ids.flatten()]
except Exception as e:
raise Exception("No markers found")
# self.logger.info("@@@@@@@@@ IDs: %s" % ids)
if ids:
if params["ids"]:
id_indices = [
indice for (indice, _id) in enumerate(ids)
if _id in set(params["ids"]).intersection(set(ids))
]
else:
id_indices = [indice for (indice, _id) in enumerate(ids)]
# self.logger.info("@@@@@@@@@ IDs indices: %s" % id_indices)
if id_indices:
resolution = params["resolution"]
rvecs, tvecs, _ = cv2.aruco.estimatePoseSingleMarkers(corners, \
params["size"], \
CAMERA_DATAS_AT_RESOLUTION[resolution]["matrix"], \
CAMERA_DISTORTION_COEFF)
for indice in id_indices:
# switch from opencv coordinates to NAOqi coordinates
tvec = tvecs[indice][0] # translation vectors
x, y, z = tvec[2], -tvec[0], -tvec[1]
p3d_camera2target = almath.Position3D(x, y, z)
rvec = rvecs[indice][0] # rotation vectors
wx, wy, wz = rvec[2], -rvec[0], -rvec[1]
proj_rvec, _ = cv2.Rodrigues(numpy.array([wx, wy, wz]))
r_camera2target = almath.Rotation(proj_rvec.flatten())
t_camera2target = almath.transformFromRotationPosition3D(
r_camera2target, p3d_camera2target)
if params["position"] == "floor":
r3d_correction = almath.Rotation3D(
0., math.pi / 2,
0.) # we have 90° on y axis that is invalid
elif params["position"] == "wall":
r3d_correction = almath.Rotation3D(
0., math.pi,
0.) # we have 180° on y axis that is invalid
t_correction = almath.transformFromRotation3D(
r3d_correction)
t_world2target = t_world2camera * t_camera2target * t_correction
p6D_world2target = almath.position6DFromTransform(
t_world2target)
self.logger.info(
"@@@@@@@@@ ID: %s - P6D_WORLD2TARGET: %s" %
(ids[indice], p6D_world2target))
p6Ds[ids[indice]] = {
"world2target": list(p6D_world2target.toVector()),
"timestamp": timestamp,
}
else:
raise Exception("No markers with IDs %s found" % params["ids"])
d = time.time() - t
self.logger.info("_detect_markers done %s" % d)
return p6Ds