Open Source Computer Vision Library https://opencv.org/
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from __future__ import print_function
import os, tempfile, numpy as np
import sys
import cv2 as cv
from tests_common import NewOpenCVTests
import gen_pattern
class aruco_objdetect_test(NewOpenCVTests):
def test_aruco_dicts(self):
try:
from svglib.svglib import svg2rlg
from reportlab.graphics import renderPM
except:
raise self.skipTest("libraies svglib and reportlab not found")
else:
cols = 3
rows = 5
square_size = 100
aruco_type = [cv.aruco.DICT_4X4_1000, cv.aruco.DICT_5X5_1000, cv.aruco.DICT_6X6_1000,
cv.aruco.DICT_7X7_1000, cv.aruco.DICT_ARUCO_ORIGINAL, cv.aruco.DICT_APRILTAG_16h5,
cv.aruco.DICT_APRILTAG_25h9, cv.aruco.DICT_APRILTAG_36h10, cv.aruco.DICT_APRILTAG_36h11]
aruco_type_str = ['DICT_4X4_1000','DICT_5X5_1000', 'DICT_6X6_1000',
'DICT_7X7_1000', 'DICT_ARUCO_ORIGINAL', 'DICT_APRILTAG_16h5',
'DICT_APRILTAG_25h9', 'DICT_APRILTAG_36h10', 'DICT_APRILTAG_36h11']
marker_size = 0.8*square_size
board_width = cols*square_size
board_height = rows*square_size
for aruco_type_i in range(len(aruco_type)):
#draw desk using opencv
aruco_dict = cv.aruco.getPredefinedDictionary(aruco_type[aruco_type_i])
board = cv.aruco.CharucoBoard((cols, rows), square_size, marker_size, aruco_dict)
charuco_detector = cv.aruco.CharucoDetector(board)
from_cv_img = board.generateImage((cols*square_size*10, rows*square_size*10))
#draw desk using svg
fd1, filesvg = tempfile.mkstemp(prefix="out", suffix=".svg")
os.close(fd1)
fd2, filepng = tempfile.mkstemp(prefix="svg_marker", suffix=".png")
os.close(fd2)
try:
basedir = os.path.abspath(os.path.dirname(__file__))
pm = gen_pattern.PatternMaker(cols, rows, filesvg, "px", square_size, 0, board_width,
board_height, "charuco_checkboard", marker_size,
os.path.join(basedir, aruco_type_str[aruco_type_i]+'.json.gz'))
pm.make_charuco_board()
pm.save()
drawing = svg2rlg(filesvg)
renderPM.drawToFile(drawing, filepng, fmt='PNG', dpi=720)
from_svg_img = cv.imread(filepng)
#test
_charucoCorners, _charucoIds, markerCorners_svg, markerIds_svg = charuco_detector.detectBoard(from_svg_img)
_charucoCorners, _charucoIds, markerCorners_cv, markerIds_cv = charuco_detector.detectBoard(from_cv_img)
np.testing.assert_allclose(markerCorners_svg, markerCorners_cv, 0.1, 0.1)
np.testing.assert_allclose(markerIds_svg, markerIds_cv, 0.1, 0.1)
finally:
if os.path.exists(filesvg):
os.remove(filesvg)
if os.path.exists(filepng):
os.remove(filepng)
def test_aruco_marker_sizes(self):
try:
from svglib.svglib import svg2rlg
from reportlab.graphics import renderPM
except:
raise self.skipTest("libraies svglib and reportlab not found")
else:
cols = 3
rows = 5
square_size = 100
aruco_type = cv.aruco.DICT_5X5_1000
aruco_type_str = 'DICT_5X5_1000'
marker_sizes_rate = [0.25, 0.5, 0.75, 0.9]
board_width = cols*square_size
board_height = rows*square_size
for marker_s_rate in marker_sizes_rate:
marker_size = marker_s_rate*square_size
#draw desk using opencv
aruco_dict = cv.aruco.getPredefinedDictionary(aruco_type)
board = cv.aruco.CharucoBoard((cols, rows), square_size, marker_size, aruco_dict)
charuco_detector = cv.aruco.CharucoDetector(board)
from_cv_img = board.generateImage((cols*square_size*10, rows*square_size*10))
#draw desk using svg
fd1, filesvg = tempfile.mkstemp(prefix="out", suffix=".svg")
os.close(fd1)
fd2, filepng = tempfile.mkstemp(prefix="svg_marker", suffix=".png")
os.close(fd2)
try:
basedir = os.path.abspath(os.path.dirname(__file__))
pm = gen_pattern.PatternMaker(cols, rows, filesvg, "px", square_size, 0, board_width,
board_height, "charuco_checkboard", marker_size, os.path.join(basedir, aruco_type_str+'.json.gz'))
pm.make_charuco_board()
pm.save()
drawing = svg2rlg(filesvg)
renderPM.drawToFile(drawing, filepng, fmt='PNG', dpi=720)
from_svg_img = cv.imread(filepng)
#test
_charucoCorners, _charucoIds, markerCorners_svg, markerIds_svg = charuco_detector.detectBoard(from_svg_img)
_charucoCorners, _charucoIds, markerCorners_cv, markerIds_cv = charuco_detector.detectBoard(from_cv_img)
np.testing.assert_allclose(markerCorners_svg, markerCorners_cv, 0.1, 0.1)
np.testing.assert_allclose(markerIds_svg, markerIds_cv, 0.1, 0.1)
finally:
if os.path.exists(filesvg):
os.remove(filesvg)
if os.path.exists(filepng):
os.remove(filepng)