python 标定相机 检测圆点 对称或非对称01

import cv2
import numpy as np
import xml.etree.ElementTree as ET

w = 7
h = 6
criteria = (cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_MAX_ITER, 10, 0.001)


def find_corners(img):
    # gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    params = cv2.SimpleBlobDetector_Params()
    params.maxArea = 10e4
    params.minArea = 10
    params.minDistBetweenBlobs = 1
    blobDetector = cv2.SimpleBlobDetector_create(params)
    # ret, corners = cv2.findCirclesGrid(img, (w, h), cv2.CALIB_CB_ASYMMETRIC_GRID, blobDetector, None)
    ret, corners = cv2.findCirclesGrid(img, (w, h), cv2.CALIB_CB_SYMMETRIC_GRID, blobDetector, None)

    if ret:
        cv2.cornerSubPix(img, corners, (w, h), (1, 1), criteria)
        # cv2.find4QuadCornerSubpix(img, corners, (w, h))
        return corners
    return None



# 打开相机测试
capture = cv2.VideoCapture(1)
while True:
    ret, img = capture.read()
    # frame = cv2.flip(frame,1)   #镜像操作
    cv2.imshow("video", img)
    key = cv2.waitKey(1)
    # print(key)
    if key == ord('q'):  # 判断是哪一个键按下
        break

    gray_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    image = cv2.resize(gray_img, (img.shape[1] * 2, img.shape[0] * 2))

    minThreshValue = 120
    _, binary = cv2.threshold(gray_img, minThreshValue, 255, cv2.THRESH_BINARY)
    cv2.imshow("image", binary)

    corners = find_corners(binary)

    if corners is not None:
        # print(corners)

        # 计算距离
        dis_real = np.sqrt(np.power((w - 1) * 0.05, 2) + np.power((h - 1) * 0.05, 2))
        lr_points = corners[-1] - corners[0]
        dis_imge = np.sqrt(np.power(lr_points[0][0], 2) + np.power(lr_points[0][1], 2))
        DPI = dis_real / dis_imge

        configFile_xml = "wellConfig.xml"
        tree = ET.parse(configFile_xml)
        root = tree.getroot()
        secondRoot = root.find("DPI")
        print(secondRoot.text)

        secondRoot.text = str(DPI)
        tree.write("wellConfig.xml")
        print("DPI", DPI)
        print(DPI)
        # 将角点在图像上显示
        cv2.drawChessboardCorners(img, (w, h), corners, corners is not None)

    cv2.imshow('findCorners', img)
    cv2.waitKey(1)

cv2.destroyAllWindows()



# 测试图片
# img = cv2.imread("circles/Snap_4.jpg",1)
# # img = cv2.imread("circles/sm02.jpg",1)
# # img = cv2.imread("circles/calb.jpg", 1)
# gray_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# image = cv2.resize(gray_img, (img.shape[1] * 2, img.shape[0] * 2))
#
# minThreshValue = 120
# _, binary = cv2.threshold(gray_img, minThreshValue, 255, cv2.THRESH_BINARY)
# cv2.imshow("image", binary)
#
# corners = find_corners(binary)
#
# if corners is not None:
#     # print(corners)
#
#     # 将角点在图像上显示
#     cv2.drawChessboardCorners(img, (w, h), corners, corners is not None)
#
#     # 计算距离
#     dis_real = np.sqrt(np.power((w-1)*0.05, 2) + np.power((h-1)*0.05, 2))
#     # DPI = dis_real/
#     lr_points = corners[-1] - corners[0]
#     dis_imge = np.sqrt(np.power(lr_points[0][0], 2) + np.power(lr_points[0][1], 2))
#     DPI = dis_real/dis_imge
#     print(DPI)
#
#
# cv2.imshow('findCorners', img)
# cv2.waitKey()
# cv2.destroyAllWindows()

# # 所有图片测试
# for i in range(15):
#     fileName = "Snap_" + str(i) + ".jpg"
# # img = cv2.imread("circles/Snap_007.jpg",1)
#     img = cv2.imread("circles/" + fileName,1)
#     print(fileName)
#
#     gray_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
#     image = cv2.resize(gray_img, (img.shape[1] * 2, img.shape[0] * 2))
#
#     minThreshValue = 120
#     _, binary = cv2.threshold(gray_img, minThreshValue, 255, cv2.THRESH_BINARY)
#     cv2.imshow("image", binary)
#
#     corners = find_corners(binary)
#
#     if corners is not None:
#         # print(corners)
#
#         # 将角点在图像上显示
#         cv2.drawChessboardCorners(img, (w, h), corners, corners is not None)
#
#         # 计算距离
#         dis_real = np.sqrt(np.power((w-1)*0.05, 2) + np.power((h-1)*0.05, 2))
#         # DPI = dis_real/
#         lr_points = corners[-1] - corners[0]
#         dis_imge = np.sqrt(np.power(lr_points[0][0], 2) + np.power(lr_points[0][1], 2))
#         DPI = dis_real/dis_imge
#         print(DPI)
#
#
#     cv2.imshow('findCorners', img)
#     cv2.waitKey()
#     cv2.destroyAllWindows()

wellConfig.xml

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