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Open Source Computer Vision Library
https://opencv.org/
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118 lines
5.7 KiB
118 lines
5.7 KiB
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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