캘리브레이션 개요
3 분
다양한 좌표계에 걸친 2D 및 3D 데이터를 가진 씬은 위치와 방향에 따라 센서를 정렬하기 위한 캘리브레이션이 필요합니다. 여기에는 3D 포인트를 카메라의 이미지 평면에 투영하는 작업이 포함됩니다.
캘리브레이션 생성 방법
라이다 센서 하나와 Pinhole 타입 카메라 센서 두 개에 대한 캘리브레이션을 생성하는 예제입니다. Kannala, Fisheye 등 다른 카메라 타입은 kognic-io-examples를 참고하세요.
from kognic.io.client import KognicIOClient
from kognic.io.model import SensorCalibration
from kognic.io.model.calibration.camera.common import CameraMatrix, DistortionCoefficients
from kognic.io.model.calibration.camera.pinhole_calibration import PinholeCalibration
from kognic.io.model.calibration.common import Position, RotationQuaternion
from kognic.io.model.calibration.common import Position, RotationQuaternion
from kognic.io.model.calibration.lidar.lidar_calibration import LidarCalibration, LidarFieldOfView
client = KognicIOClient()
# Create a sample calibration for lidar.
lidar_position = Position(x=0.0, y=0.0, z=0.0)
lidar_rotation = RotationQuaternion(w=1.0, x=0.0, y=0.0, z=0.0)
lidar_fov = LidarFieldOfView(start_angle_deg=315, stop_angle_deg=45, depth=200)
lidar_calibration = LidarCalibration(position=lidar_position, rotation_quaternion=lidar_rotation, field_of_view=lidar_fov)
# Create a sample calibration for a Pinhole camera. For other camera types visit:
# https://github.com/annotell/kognic-io-examples-python/tree/master/examples/calibration
camera_position = Position(x=0.0, y=0.0, z=0.0)
camera_rotation = RotationQuaternion(w=0.5, x=-0.5, y=0.5, z=-0.5)
camera_camera_matrix = CameraMatrix(fx=3450, fy=3250, cx=622, cy=400)
camera_distortion_coefficients = DistortionCoefficients(k1=0.0, k2=0.0, p1=0.0, p2=0.0, k3=1.0)
pinhole_calibration = PinholeCalibration(
position=camera_position,
rotation_quaternion=camera_rotation,
camera_matrix=camera_camera_matrix,
distortion_coefficients=camera_distortion_coefficients,
image_height=1080,
image_width=1920,
field_of_view=190.0,
)
sensor_calibration = SensorCalibration(
external_id="Create your own id here", # to make it easier for you to find the calibration later
calibration={
# The keys: "lidar", "LEFT_FRONT_CAMERA" etc, must match the
# names of the sensors in the scenes that use this calibration
"lidar": lidar_calibration,
"LEFT_FRONT_CAMERA": pinhole_calibration,
"RIGHT_FRONT_CAMERA": pinhole_calibration
}
)
created_calibration = client.calibration.create_calibration(sensor_calibration)
print(f"Created calibration with id {created_calibration.id}")캘리브레이션 재사용
캘리브레이션이 생성된 후에는 가능하다면 여러 씬에 대해 동일한 캘리브레이션을 재사용할 수 있으며, 그렇게 하는 것이 좋습니다. 아래를 참고하세요.