我正在关注opencv和相机校准的this教程。 当我执行以下代码时,我收到错误消息:
MacBook-Pro:src marvineffing$ python3 pose\ estimation.py
OpenCV Error: Assertion failed (d == 2 && (sizes[0] == 1 || sizes[1] == 1 || sizes[0]*sizes[1] == 0)) in create, file /tmp/opencv320151207-39796-10do3cp/opencv-3.0.0/modules/core/src/matrix.cpp, line 2294
Traceback (most recent call last):
File "pose estimation.py", line 31, in <module>
rvecs, tvecs, inliers = cv2.solvePnPRansac(objp, corners2, mtx, dist)
cv2.error: /tmp/opencv320151207-39796-10do3cp/opencv-3.0.0/modules/core/src/matrix.cpp:2294: error: (-215) d == 2 && (sizes[0] == 1 || sizes[1] == 1 || sizes[0]*sizes[1] == 0) in function create
代码:
import cv2
import numpy as np
import glob
def draw(img, corners, imgpts):
"""draws line on xyz axis for a corner"""
corner = tuple(corners[0].ravel())
img = cv2.line(img, corner, tuple(imgpts[0].ravel(), (255, 0, 0)))
img = cv2.line(img, corner, tuple(imgpts[1].ravel(), (0, 255, 0)))
img = cv2.line(img, corner, tuple(imgpts[2].ravel(), (0, 0, 255)))
return img
with np.load('matrix.npz') as X:
mtx, dist, _, _ = [X[i] for i in ('mtx', 'dist', 'rvecs', 'tvecs')]
criteria = (cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_MAX_ITER, 30, 0.001)
objp = np.zeros((6*7, 3), np.float32)
objp[:, :2] = np.mgrid[0:7, 0:6].T.reshape(-1, 2)
axis = np.float32([[3, 0, 0], [0, 3, 0], [0, 0, -3]]).reshape(-1, 3)
for fname in glob.glob('../sample_images/left*.jpg'):
img = cv2.imread(fname)
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
ret, corners = cv2.findChessboardCorners(gray, (7, 6),None)
if ret == True:
corners2 = cv2.cornerSubPix(gray, corners, (11, 11), (-1, -1), criteria)
# Find the rotation and translation vectors.
rvecs, tvecs, inliers = cv2.solvePnPRansac(objp, corners2, mtx, dist)
# project 3D points to image plane
imgpts, jac = cv2.projectPoints(axis, rvecs, tvecs, mtx, dist)
img = draw(img, corners2,imgpts)
cv2.imshow('img', img)
k = cv2.waitKey(0) & 0xff
if k == 's':
cv2.imwrite(fname[:6]+'.png', img)
cv2.destroyAllWindows()
我尝试了搜索互联网后提供的解决方案,但这对我没有帮助。欢迎任何帮助。我检查了每个参数,它们似乎是正确的,但我对python和opencv都很新。
答案 0 :(得分:1)
变化
objp = np.zeros((6*7, 3), np.float32)
objp[:, :2] = np.mgrid[0:7, 0:6].T.reshape(-1, 2)
到
objp = np.zeros((6*7, 1, 3), np.float32)
objp[:,:,:2] = np.mgrid[0:7, 0:6].T.reshape(-1,1,2)
变化
rvecs, tvecs, inliers = cv2.solvePnPRansac(objp, corners2, mtx, dist)
到
_, rvecs, tvecs, inliers = cv2.solvePnPRansac(objp, corners2, mtx, dist)