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@taizan-hokuto
Last active July 17, 2020 15:44
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teratail_273729への回答
import numpy as np
import cv2
from cv2 import aruco
import sys, time
def main():
# print(cv2.getBuildInformation())
cap = cv2.VideoCapture(0)
# マーカーサイズ
marker_length = 0.056 # [m]
# マーカーの辞書選択
dictionary = aruco.getPredefinedDictionary(aruco.DICT_ARUCO_ORIGINAL)
camera_matrix = np.array([[639.87721705, 0. , 330.12073612],
[ 0. , 643.69687408, 208.61588364],
[ 0. , 0. , 1. ]])
distortion_coeff = np.array([ 5.66942769e-02, -6.05774927e-01, -7.42066667e-03, -3.09571466e-04, 1.92386974e+00])
# distortion_coeff = np.load("dist.npy")
while True:
markers={} # 1フレーム内に存在するマーカーを格納する辞書:key: マーカーID、value: 座標・方向データ
ret, img = cap.read()
corners, ids, rejectedImgPoints = aruco.detectMarkers(img, dictionary)
# 可視化
aruco.drawDetectedMarkers(img, corners, ids, (0,255,255))
if len(corners) > 0:
# マーカーごとに処理
for i, corner in enumerate(corners):
# rvec -> rotation vector, tvec -> translation vector
rvec, tvec, _ = aruco.estimatePoseSingleMarkers(corner, marker_length, camera_matrix, distortion_coeff)
# < rodoriguesからeuluerへの変換 >
# 不要なaxisを除去
tvec = np.squeeze(tvec)
rvec = np.squeeze(rvec)
# 回転ベクトルからrodoriguesへ変換
rvec_matrix = cv2.Rodrigues(rvec)
rvec_matrix = rvec_matrix[0] # rodoriguesから抜き出し
# 並進ベクトルの転置
transpose_tvec = tvec[np.newaxis, :].T
# 合成
proj_matrix = np.hstack((rvec_matrix, transpose_tvec))
# # オイラー角への変換
euler_angle = cv2.decomposeProjectionMatrix(proj_matrix)[6] # [deg]
# マーカーIDをキーにして、マーカーID毎の座標・方向を辞書に格納:
markers[ids[i][0]] = {
"x": str(tvec[0]),
"y": str(tvec[1]),
"z": str(tvec[2]),
"roll": str(euler_angle[0]),
"pitch": str(euler_angle[1]),
"yaw": str(euler_angle[2])
}
# 可視化
draw_pole_length = marker_length/2 # 現実での長さ[m]
aruco.drawAxis(img, camera_matrix, distortion_coeff, rvec, tvec, draw_pole_length)
# 1フレーム内にある複数マーカーの座標・方向を出力する。
if len(markers.keys()) > 0:
print('='*20)
for mid in markers.keys(): # マーカーIDを列挙
print("ID%s のマーカー=(x: %s, y: %s, z: %s, roll: %s, pitch: %s, yaw: %s)" % (
mid, markers[mid]["x"], markers[mid]["y"], markers[mid]["z"], markers[mid]["roll"], markers[mid]["pitch"], markers[mid]["yaw"]))
sys.stdout.flush()
time.sleep(0.01)
print('='*20)
cv2.imshow('drawDetectedMarkers', img)
if cv2.waitKey(10) & 0xFF == ord('q'):
break
cv2.destroyAllWindows()
if __name__ == '__main__':
main()
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