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