added charuco board calibration

This commit is contained in:
2025-11-25 16:40:28 +01:00
parent aec0f0b4bf
commit 00a67273e5
+54 -6
View File
@@ -4,6 +4,9 @@ import cv2 as cv
import argparse
from aruco_types import ARUCO_DICT
ENTRY = {'charuco_corners': [], 'charuco_ids': [], 'obj_points': [], 'img_points': []}
CAM_CALIB_FILE = "results/cam_calib_charuco.npz"
def factory(dict_type: int, board_size: cv.typing.Size, square_length: float=5.0, marker_length: float=3.0):
aruco_dict = cv.aruco.getPredefinedDictionary(dict_type)
board = cv.aruco.CharucoBoard(board_size, square_length, marker_length, aruco_dict)
@@ -31,15 +34,19 @@ def main():
# load the ArUCo dictionary, grab the ArUCo parameters, and detect
# the markers
print("[INFO] detecting '{}' tags...".format(args["type"]))
detector, board = factory(ARUCO_DICT[args["type"]], (3,3))
detector, board = factory(ARUCO_DICT[args["type"]], (6,7))
# load the input image from disk and resize it
print("[INFO] start processing...")
process_video(detector, board)
def process_video(detector: cv.aruco.CharucoDetector, board):
with np.load('results/cam.npz') as X:
mtx, dist, _, _ = [X[i] for i in ('mtx', 'dist', 'rvecs', 'tvecs')]
mtx = None
dist = None
rvecs = None
tvecs = None
with np.load(CAM_CALIB_FILE) as X:
mtx, dist, rvecs, tvecs = [X[i] for i in ('mtx', 'dist', 'rvecs', 'tvecs')]
# Open camera
video = cv.VideoCapture(0)
@@ -47,17 +54,56 @@ def process_video(detector: cv.aruco.CharucoDetector, board):
print("Cannot open camera")
exit()
img_size = None
while True:
# Read a new frame
ok, img = video.read()
if not ok:
return
process(detector, board, img, mtx, dist)
k = cv.waitKey(1) & 0xFF
if k == ord('q'):
break
elif k == ord('s'):
img_size = store_frame(detector, board, img)
elif k == ord('c'):
mtx, dist, rvecs, tvecs = calibrate_camera(mtx, dist, rvecs, tvecs, img_size)
else:
process(detector, board, img, mtx, dist, rvecs, tvecs)
def process(detector: cv.aruco.CharucoDetector, board: cv.aruco.Board, img, mtx, dist): # Load previously saved data
def store_frame(detector: cv.aruco.CharucoDetector, board: cv.aruco.Board, img):
global ENTRY
img_size = 0
gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
charuco_corners, charuco_ids, _, _ = detector.detectBoard(gray)
if charuco_corners is not None:
if len(charuco_ids) >= len(board.getIds()):
obj_points, img_points = board.matchImagePoints(charuco_corners, charuco_ids)
if len(obj_points) > 0 and len(img_points) > 0:
ENTRY['charuco_corners'].append(charuco_corners)
ENTRY['charuco_ids'].append(charuco_ids)
ENTRY['obj_points'].append(obj_points)
ENTRY['img_points'].append(img_points)
img_size = gray.shape
print("Frame captured")
else:
print("Point matching failed, try again")
else:
print("Point matching failed, try again")
else:
print("Point matching failed, try again")
return img_size
def calibrate_camera(mtx, dist, rvecs, tvecs, img_size):
global ENTRY
ret, mtx, dist, rvecs, tvecs = cv.calibrateCamera(ENTRY['obj_points'], ENTRY['img_points'], img_size, mtx, dist, rvecs, tvecs)
np.savez(f"{CAM_CALIB_FILE}", mtx=mtx, dist=dist, rvecs=rvecs, tvecs=tvecs)
ENTRY = {'charuco_corners': [], 'charuco_ids': [], 'obj_points': [], 'img_points': []}
return mtx, dist, rvecs, tvecs
def process(detector: cv.aruco.CharucoDetector, board: cv.aruco.Board, img, mtx, dist, rvecs, tvecs): # Load previously saved data
gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
charuco_corners, charuco_ids, marker_corners, marker_ids = detector.detectBoard(gray)
if charuco_corners is not None:
@@ -70,7 +116,9 @@ def process(detector: cv.aruco.CharucoDetector, board: cv.aruco.Board, img, mtx,
if len(charuco_ids) >= len(board.getIds()):
obj_points, img_points = board.matchImagePoints(charuco_corners, charuco_ids)
pose, rvec, tvec = cv.solvePnP(obj_points, img_points, mtx, dist, None, None)
if mtx is not None and dist is not None:
pose, rvec, tvec = cv.solvePnP(obj_points, img_points, mtx, dist, rvecs, tvecs)
if pose:
# Draw Axis
cv.drawFrameAxes(img, mtx, dist, rvec, tvec, 20)