def __init__(self):
rospy.init_node('viewer', anonymous=True)
image_topic = rospy.get_param('~image', '/ueye/image')
# Pattern parameters
pattern_rows = rospy.get_param('~pattern_rows', 7)
pattern_cols = rospy.get_param('~pattern_cols', 8)
pattern_size = rospy.get_param('~pattern_size', 10)
config_file = rospy.get_param('~config', 'profile3d.yaml')
rospy.Subscriber(image_topic, Image, self.callback, queue_size=10)
rospy.on_shutdown(self.on_shutdown_hook)
self.counter = 0
self.bridge = CvBridge()
self.listener = tf.TransformListener()
self.square_size = pattern_size
self.grid_size = (pattern_cols - 1, pattern_rows - 1)
self.laser_profile = Profile(axis=1, thr=180, method='pcog')
self.camera_calibration = CameraCalibration(
grid_size=self.grid_size, square_size=self.square_size)
cv2.namedWindow('viewer')
cv2.cv.SetMouseCallback('viewer', self.on_mouse, '')
rospy.spin()
def __init__(self):
rospy.init_node('pub_profile3d', anonymous=True)
image_topic = rospy.get_param('~image', '/camera/image')
cloud_topic = rospy.get_param('~cloud', '/camera/cloud')
config_file = rospy.get_param('~config', 'profile3d.yaml')
#peaks_topic = rospy.get_param('~peaks', '/camera/peaks')
#self.image_pub = rospy.Publisher(peaks_topic, Image, queue_size=10)
rospy.Subscriber(image_topic,
Image,
self.sub_image_topic,
queue_size=1)
self.sequence = 0
self.bridge = CvBridge()
self.pcloud = PointCloud2()
self.cloud_pub = rospy.Publisher(cloud_topic,
PointCloud2,
queue_size=10)
self.profile = Profile()
self.profile.load_configuration(config_file)
rospy.spin()
np.set_printoptions(precision=4, suppress=True)
path = '../'
pattern_rows = 7
pattern_cols = 8
pattern_size = 0.010
config_file = 'profile3d.yaml'
dirname = '../data'
images, tool_poses = read_calibration_data(dirname)
square_size = pattern_size
grid_size = (pattern_cols - 1, pattern_rows - 1)
laser_profile = Profile(axis=1, thr=180, method='pcog')
camera_calibration = CameraCalibration(grid_size=grid_size,
square_size=square_size)
laser_calibration = LaserCalibration(grid_size=grid_size,
square_size=square_size,
profile=laser_profile)
laser_calibration.find_calibration_3d(images)
laser_calibration.save_parameters(os.path.join(path, 'config', config_file))
filenames = sorted(glob.glob('../data/pose*.txt'))
ks = [int(filename[-8:-4]) for filename in filenames]
poses_checker, poses_tool = [], []
poses_ichecker, poses_itool = [], []
for k in ks:
print 'Frame: %i' % k
img = read_image('../data/frame%04i.png' % k)
def __init__(self, grid_size=(7, 6), square_size=10.0, profile=Profile()):
CameraCalibration.__init__(self,
grid_size=grid_size,
square_size=square_size)
self.camera_pose = (np.eye(3), np.zeros(3))
self.profile = profile
