rosrun camera_calibration cameracalibrator.py --size 8x6 --square 0.108 image:=/image_raw camera:=/camera
Traceback (most recent call last):
File "/home/ass/catkin_ws/src/image_pipeline/camera_calibration/nodes/cameracalibrator.py", line 230, in
main()
File "/home/ass/catkin_ws/src/image_pipeline/camera_calibration/nodes/cameracalibrator.py", line 155, in main
boards.append(ChessboardInfo(options.pattern, size[0], size[1], float(sq)))
TypeError: __init__() takes at most 4 arguments (5 given)
orbbec astra pro 相机标定错误
这是程序
#!/usr/bin/env python
#
# Software License Agreement (BSD License)
#
# Copyright (c) 2009, Willow Garage, Inc.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
#
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
# * Redistributions in binary form must reproduce the above
# copyright notice, this list of conditions and the following
# disclaimer in the documentation and/or other materials provided
# with the distribution.
# * Neither the name of the Willow Garage nor the names of its
# contributors may be used to endorse or promote products derived
# from this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
# FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
# COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
# INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
# BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
# LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
# LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
# ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
# POSSIBILITY OF SUCH DAMAGE.
import cv2
import functools
import message_filters
import rospy
from camera_calibration.camera_calibrator import OpenCVCalibrationNode
from camera_calibration.calibrator import ChessboardInfo, Patterns
from message_filters import ApproximateTimeSynchronizer
def optionsValidCharuco(options, parser):
"""
Validates the provided options when the pattern type is 'charuco'
"""
if options.pattern != 'charuco': return False
n_boards = len(options.size)
if (n_boards != len(options.square) or n_boards != len(options.charuco_marker_size) or n_boards !=
len(options.aruco_dict)):
parser.error("When using ChArUco boards, --size, --square, --charuco_marker_size, and --aruco_dict " +
"must be specified for each board")
return False
# TODO: check for fisheye and stereo (not implemented with ChArUco)
return True
def main():
from optparse import OptionParser, OptionGroup
parser = OptionParser("%prog --size SIZE1 --square SQUARE1 [ --size SIZE2 --square SQUARE2 ]",
description=None)
parser.add_option("-c", "--camera_name",
type="string", default='narrow_stereo',
help="name of the camera to appear in the calibration file")
group = OptionGroup(parser, "Chessboard Options",
"You must specify one or more chessboards as pairs of --size and --square options.")
group.add_option("-p", "--pattern",
type="string", default="chessboard",
help="calibration pattern to detect - 'chessboard', 'circles', 'acircles', 'charuco'\n" +
" if 'charuco' is used, a --charuco_marker_size and --aruco_dict argument must be supplied\n" +
" with each --size and --square argument")
group.add_option("-s", "--size",
action="append", default=[],
help="chessboard size as NxM, counting interior corners (e.g. a standard chessboard is 7x7)")
group.add_option("-q", "--square",
action="append", default=[],
help="chessboard square size in meters")
group.add_option("-m", "--charuco_marker_size",
action="append", default=[],
help="ArUco marker size (meters); only valid with `-p charuco`")
group.add_option("-d", "--aruco_dict",
action="append", default=[],
help="ArUco marker dictionary; only valid with `-p charuco`; one of 'aruco_orig', '4x4_250', " +
"'5x5_250', '6x6_250', '7x7_250'")
parser.add_option_group(group)
group = OptionGroup(parser, "ROS Communication Options")
group.add_option("--approximate",
type="float", default=0.0,
help="allow specified slop (in seconds) when pairing images from unsynchronized stereo cameras")
group.add_option("--no-service-check",
action="store_false", dest="service_check", default=True,
help="disable check for set_camera_info services at startup")
group.add_option("--queue-size",
type="int", default=1,
help="image queue size (default %default, set to 0 for unlimited)")
parser.add_option_group(group)
group = OptionGroup(parser, "Calibration Optimizer Options")
group.add_option("--fix-principal-point",
action="store_true", default=False,
help="for pinhole, fix the principal point at the image center")
group.add_option("--fix-aspect-ratio",
action="store_true", default=False,
help="for pinhole, enforce focal lengths (fx, fy) are equal")
group.add_option("--zero-tangent-dist",
action="store_true", default=False,
help="for pinhole, set tangential distortion coefficients (p1, p2) to zero")
group.add_option("-k", "--k-coefficients",
type="int", default=2, metavar="NUM_COEFFS",
help="for pinhole, number of radial distortion coefficients to use (up to 6, default %default)")
group.add_option("--fisheye-recompute-extrinsicsts",
action="store_true", default=False,
help="for fisheye, extrinsic will be recomputed after each iteration of intrinsic optimization")
group.add_option("--fisheye-fix-skew",
action="store_true", default=False,
help="for fisheye, skew coefficient (alpha) is set to zero and stay zero")
group.add_option("--fisheye-fix-principal-point",
action="store_true", default=False,
help="for fisheye,fix the principal point at the image center")
group.add_option("--fisheye-k-coefficients",
type="int", default=4, metavar="NUM_COEFFS",
help="for fisheye, number of radial distortion coefficients to use fixing to zero the rest (up to 4, default %default)")
group.add_option("--fisheye-check-conditions",
action="store_true", default=False,
help="for fisheye, the functions will check validity of condition number")
group.add_option("--disable_calib_cb_fast_check", action='store_true', default=False,
help="uses the CALIB_CB_FAST_CHECK flag for findChessboardCorners")
group.add_option("--max-chessboard-speed", type="float", default=-1.0,
help="Do not use samples where the calibration pattern is moving faster \
than this speed in px/frame. Set to eg. 0.5 for rolling shutter cameras.")
parser.add_option_group(group)
options, args = parser.parse_args()
if (len(options.size) != len(options.square)):
parser.error("Number of size and square inputs must be the same!")
if not options.square:
options.square.append("0.108")
options.size.append("8x6")
boards = []
if options.pattern == "charuco" and optionsValidCharuco(options, parser):
for (sz, sq, ms, ad) in zip(options.size, options.square, options.charuco_marker_size, options.aruco_dict):
size = tuple([int(c) for c in sz.split('x')])
boards.append(ChessboardInfo('charuco', size[0], size[1], float(sq), float(ms), ad))
else:
for (sz, sq) in zip(options.size, options.square):
size = tuple([int(c) for c in sz.split('x')])
boards.append(ChessboardInfo(options.pattern, size[0], size[1], float(sq)))
if options.approximate == 0.0:
sync = message_filters.TimeSynchronizer
else:
sync = functools.partial(ApproximateTimeSynchronizer, slop=options.approximate)
# Pinhole opencv calibration options parsing
num_ks = options.k_coefficients
calib_flags = 0
if options.fix_principal_point:
calib_flags |= cv2.CALIB_FIX_PRINCIPAL_POINT
if options.fix_aspect_ratio:
calib_flags |= cv2.CALIB_FIX_ASPECT_RATIO
if options.zero_tangent_dist:
calib_flags |= cv2.CALIB_ZERO_TANGENT_DIST
if (num_ks > 3):
calib_flags |= cv2.CALIB_RATIONAL_MODEL
if (num_ks < 6):
calib_flags |= cv2.CALIB_FIX_K6
if (num_ks < 5):
calib_flags |= cv2.CALIB_FIX_K5
if (num_ks < 4):
calib_flags |= cv2.CALIB_FIX_K4
if (num_ks < 3):
calib_flags |= cv2.CALIB_FIX_K3
if (num_ks < 2):
calib_flags |= cv2.CALIB_FIX_K2
if (num_ks < 1):
calib_flags |= cv2.CALIB_FIX_K1
# Opencv calibration flags parsing:
num_ks = options.fisheye_k_coefficients
fisheye_calib_flags = 0
if options.fisheye_fix_principal_point:
fisheye_calib_flags |= cv2.fisheye.CALIB_FIX_PRINCIPAL_POINT
if options.fisheye_fix_skew:
fisheye_calib_flags |= cv2.fisheye.CALIB_FIX_SKEW
if options.fisheye_recompute_extrinsicsts:
fisheye_calib_flags |= cv2.fisheye.CALIB_RECOMPUTE_EXTRINSIC
if options.fisheye_check_conditions:
fisheye_calib_flags |= cv2.fisheye.CALIB_CHECK_COND
if (num_ks < 4):
fisheye_calib_flags |= cv2.fisheye.CALIB_FIX_K4
if (num_ks < 3):
fisheye_calib_flags |= cv2.fisheye.CALIB_FIX_K3
if (num_ks < 2):
fisheye_calib_flags |= cv2.fisheye.CALIB_FIX_K2
if (num_ks < 1):
fisheye_calib_flags |= cv2.fisheye.CALIB_FIX_K1
pattern = Patterns.Chessboard
if options.pattern == 'circles':
pattern = Patterns.Circles
elif options.pattern == 'acircles':
pattern = Patterns.ACircles
elif options.pattern == 'charuco':
pattern = Patterns.ChArUco
elif options.pattern != 'chessboard':
print('Unrecognized pattern %s, defaulting to chessboard' % options.pattern)
if options.disable_calib_cb_fast_check:
checkerboard_flags = 0
else:
checkerboard_flags = cv2.CALIB_CB_FAST_CHECK
rospy.init_node('cameracalibrator')
node = OpenCVCalibrationNode(boards, options.service_check, sync, calib_flags, fisheye_calib_flags, pattern, options.camera_name,
checkerboard_flags=checkerboard_flags, max_chessboard_speed=options.max_chessboard_speed,
queue_size=options.queue_size)
rospy.spin()
if __name__ == "__main__":
try:
main()
except Exception as e:
import traceback
traceback.print_exc()
python调试三板斧 https://ask.csdn.net/questions/7908322/54130133
于Orbbec Astra Pro相机的标定错误，可能有以下一些原因：
1.标定板的质量不好，造成标定点检测不准确。
2.摄像头固定方式不稳定，造成相机位置移动，导致标定错误。
3.标定板放置不平，造成标定板与相机成像平面不在同一平面。
4.使用的标定软件算法不准确，导致标定结果不理想。
如果您能提供更具体的错误信息和情况，我可以为您提供更详细的帮助和建议。