add py charuco sample+choriginal.jpg+camera_params

samples/data/aruco/tutorial_camera_charuco.yml

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+%YAML:1.0
+---
+calibration_time: "Wed 08 Dec 2021 05:13:09 PM MSK"
+image_width: 640
+image_height: 480
+flags: 0
+camera_matrix: !!opencv-matrix
+   rows: 3
+   cols: 3
+   dt: d
+   data: [ 4.5251072219637672e+02, 0., 3.1770297317353277e+02, 0.,
+       4.5676707935146891e+02, 2.7775155919135995e+02, 0., 0., 1. ]
+distortion_coefficients: !!opencv-matrix
+   rows: 1
+   cols: 5
+   dt: d
+   data: [ 1.2136925618707872e-01, -1.0854664722560681e+00,
+       1.1786843796668460e-04, -4.6240686046485508e-04,
+       2.9542589406810080e+00 ]
+avg_reprojection_error: 1.8234905535936044e-01
+info: "The camera calibration parameters were obtained by img_00.jpg-img_03.jpg from aruco/tutorials/aruco_calibration/images"

samples/python/aruco_detect_board_charuco.py

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+#!/usr/bin/env python
+
+"""aruco_detect_board_charuco.py
+Usage example:
+python aruco_detect_board_charuco.py -w=5 -h=7 -sl=0.04 -ml=0.02 -d=10 -c=../data/aruco/tutorial_camera_charuco.yml
+                                     -i=../data/aruco/choriginal.jpg
+"""
+
+import argparse
+import numpy as np
+import cv2 as cv
+import sys
+
+
+def read_camera_parameters(filename):
+    fs = cv.FileStorage(cv.samples.findFile(filename, False), cv.FileStorage_READ)
+    if fs.isOpened():
+        cam_matrix = fs.getNode("camera_matrix").mat()
+        dist_coefficients = fs.getNode("distortion_coefficients").mat()
+        return True, cam_matrix, dist_coefficients
+    return False, [], []
+
+
+def main():
+    # parse command line options
+    parser = argparse.ArgumentParser(description="detect markers and corners of charuco board, estimate pose of charuco"
+                                     "board", add_help=False)
+    parser.add_argument("-H", "--help", help="show help", action="store_true", dest="show_help")
+    parser.add_argument("-v", "--video", help="Input from video or image file, if omitted, input comes from camera",
+                        default="", action="store", dest="v")
+    parser.add_argument("-i", "--image", help="Input from image file", default="", action="store", dest="img_path")
+    parser.add_argument("-w", help="Number of squares in X direction", default="3", action="store", dest="w", type=int)
+    parser.add_argument("-h", help="Number of squares in Y direction", default="3", action="store", dest="h", type=int)
+    parser.add_argument("-sl", help="Square side length", default="1.", action="store", dest="sl", type=float)
+    parser.add_argument("-ml", help="Marker side length", default="0.5", action="store", dest="ml", type=float)
+    parser.add_argument("-d", help="dictionary: DICT_4X4_50=0, DICT_4X4_100=1, DICT_4X4_250=2,  DICT_4X4_1000=3,"
+                                   "DICT_5X5_50=4, DICT_5X5_100=5, DICT_5X5_250=6, DICT_5X5_1000=7, DICT_6X6_50=8,"
+                                   "DICT_6X6_100=9, DICT_6X6_250=10, DICT_6X6_1000=11, DICT_7X7_50=12, DICT_7X7_100=13,"
+                                   "DICT_7X7_250=14, DICT_7X7_1000=15, DICT_ARUCO_ORIGINAL = 16}",
+                        default="0", action="store", dest="d", type=int)
+    parser.add_argument("-ci", help="Camera id if input doesnt come from video (-v)", default="0", action="store",
+                        dest="ci", type=int)
+    parser.add_argument("-c", help="Input file with calibrated camera parameters", default="", action="store",
+                        dest="cam_param")
+
+    args = parser.parse_args()
+
+    show_help = args.show_help
+    if show_help:
+        parser.print_help()
+        sys.exit()
+    width = args.w
+    height = args.h
+    sqruare_len = args.sl
+    marker_len = args.ml
+    dict = args.d
+    video = args.v
+    camera_id = args.ci
+    img_path = args.img_path
+
+    cam_param = args.cam_param
+    cam_matrix = []
+    dist_coefficients = []
+    if cam_param != "":
+        _, cam_matrix, dist_coefficients = read_camera_parameters(cam_param)
+
+    aruco_dict = cv.aruco.getPredefinedDictionary(dict)
+    board_size = (width, height)
+    board = cv.aruco.CharucoBoard(board_size, sqruare_len, marker_len, aruco_dict)
+    charuco_detector = cv.aruco.CharucoDetector(board)
+
+    image = None
+    input_video = None
+    wait_time = 10
+    if video != "":
+        input_video = cv.VideoCapture(cv.samples.findFileOrKeep(video, False))
+        image = input_video.retrieve()[1] if input_video.grab() else None
+    elif img_path == "":
+        input_video = cv.VideoCapture(camera_id)
+        image = input_video.retrieve()[1] if input_video.grab() else None
+    elif img_path != "":
+        wait_time = 0
+        image = cv.imread(cv.samples.findFile(img_path, False))
+
+    if image is None:
+        print("Error: unable to open video/image source")
+        sys.exit(0)
+
+    while image is not None:
+        image_copy = np.copy(image)
+        charuco_corners, charuco_ids, marker_corners, marker_ids = charuco_detector.detectBoard(image)
+        if not (marker_ids is None) and len(marker_ids) > 0:
+            cv.aruco.drawDetectedMarkers(image_copy, marker_corners)
+        if not (charuco_ids is None) and len(charuco_ids) > 0:
+            cv.aruco.drawDetectedCornersCharuco(image_copy, charuco_corners, charuco_ids)
+            if len(cam_matrix) > 0 and len(charuco_ids) >= 4:
+                try:
+                    obj_points, img_points = board.matchImagePoints(charuco_corners, charuco_ids)
+                    flag, rvec, tvec = cv.solvePnP(obj_points, img_points, cam_matrix, dist_coefficients)
+                    if flag:
+                        cv.drawFrameAxes(image_copy, cam_matrix, dist_coefficients, rvec, tvec, .2)
+                except cv.error as error_inst:
+                    print("SolvePnP recognize calibration pattern as non-planar pattern. To process this need to use "
+                          "minimum 6 points. The planar pattern may be mistaken for non-planar if the pattern is "
+                          "deformed or incorrect camera parameters are used.")
+                    print(error_inst.err)
+        cv.imshow("out", image_copy)
+        key = cv.waitKey(wait_time)
+        if key == 27:
+            break
+        image = input_video.retrieve()[1] if input_video is not None and input_video.grab() else None
+
+
+if __name__ == "__main__":
+    main()