Question

ret＆amp; corner总是False＆amp; None。我写了img.py

import numpy as np
import cv2
import glob
from PIL import Image

# termination criteria
criteria = (cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_MAX_ITER, 30, 0.001)

# prepare object points, like (0,0,0), (1,0,0), (2,0,0) ....,(6,5,0)
objp = np.zeros((6*7,3), np.float32)
objp[:,:2] = np.mgrid[0:7,0:6].T.reshape(-1,2)

# Arrays to store object points and image points from all the images.
objpoints = [] # 3d point in real world space
imgpoints = [] # 2d points in image plane.

images = Image.open('cosme.jpg')
gray = cv2.cvtColor(np.array(images),cv2.COLOR_BGR2GRAY)
# Find the chess board corners
ret, corners = cv2.findChessboardCorners(gray, (7,6),None)
print(ret)
print(corners)

# If found, add object points, image points (after refining them)
if ret == True:
   objpoints.append(objp)

   corners2 = cv2.cornerSubPix(gray,corners,(11,11),(-1,-1),criteria)
   imgpoints.append(corners2)

   # Draw and display the corners
   img = cv2.drawChessboardCorners(img, (7,6), corners2,ret)
   cv2.imshow('img',img)
   cv2.waitKey(0)
   cv2.destroyAllWindows()

始终ret为False，因此不显示图像.print（ret）显示False，print（角点）显示None，因此始终程序不会进入if语句。我真的不明白为什么ret总是假的，因为灰色有正常的值。我认为（7,6）会导致这个错误，但我不知道是什么原因引起了这个错误。我的代码出了什么问题？我应该如何解决这个问题？

Answer 1

如果您自己发布图像会有所帮助 - 它应该有一个校准棋盘，其内部角落尺寸为7,6可见 - 如果找不到角落，则返回值为False和角落列表将是无

ret＆amp; corner始终为False＆amp; None

1 个答案: