Question

我知道inbeded do直到工作正常但是当我设置activecell.address然后尝试返回它时我没有被带到原来的位置。

Sub Refresh()
Dim PN
Dim Supervisor
Dim Location

Worksheets("sheet1").Activate
Range("A2").Activate

Do Until IsEmpty(ActiveCell.Value)

PN = ActiveCell.Value
Location = ActiveCell.Address

Worksheets("sheet4").Activate
Range("C2").Activate
Do Until IsEmpty(ActiveCell.Value)
If PN = ActiveCell.Value Then
ActiveCell.Offset(0, 18).Select
Supervisor = ActiveCell.Value
ActiveCell.Offset(0, -18).Select
End If
ActiveCell.Offset(1, 0).Select
Loop

Range(Location).Activate
ActiveCell.Offset(0, 5).Select
ActiveCell.Value = Supervisor
ActiveCell.Offset(0, -5).Select

Range(Location).Activate
ActiveCell.Offset(1, 0).Select
Loop

End Sub

Answer 1

看看是否有效

 #include <iostream>
#include <stdio.h>
#include <iostream>
#include <fstream>
#include <string>
#include "opencv2/core/core.hpp"
#include "opencv2/features2d/features2d.hpp"
#include "opencv2/nonfree/features2d.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/nonfree/nonfree.hpp"
#include "opencv2/legacy/legacy.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/calib3d/calib3d.hpp"

using namespace cv;
using namespace std;

char key = 'a';
int framecount = 0;

SurfFeatureDetector detector( 500 );
SurfDescriptorExtractor extractor;
FlannBasedMatcher matcher;

Mat frame, des_object, image;
Mat des_image, img_matches, H;

std::vector<KeyPoint> kp_object;
std::vector<Point2f> obj_corners(4);
std::vector<KeyPoint> kp_image;
std::vector<vector<DMatch > > matches;
std::vector<DMatch > good_matches;
std::vector<Point2f> obj;
std::vector<Point2f> scene;
std::vector<Point2f> scene_corners(4);

int main()
{             
                //reference image
    Mat object = imread( "C:\\OpenCV2.4.6\\test.png", CV_LOAD_IMAGE_GRAYSCALE );

    if( !object.data )
    {
        std::cout<< "Error reading object " << std::endl;
        return -1;
    }


    detector.detect( object, kp_object );
    extractor.compute( object, kp_object, des_object );     

    VideoCapture cap(0);

    //Get the corners from the object
    obj_corners[0] = cvPoint(0,0);
    obj_corners[1] = cvPoint( object.cols, 0 );
    obj_corners[2] = cvPoint( object.cols, object.rows );
    obj_corners[3] = cvPoint( 0, object.rows );


    while (key != 27)
    {

        cap >> frame;

        if (framecount < 5)
        {
            framecount++;
            continue;
        }      


        cvtColor(frame, image, CV_RGB2GRAY);


                                detector.detect( image, kp_image );
                                extractor.compute( image, kp_image, des_image );


                                matcher.knnMatch(des_object, des_image, matches, 2);

                                for(int i = 0; i < min(des_image.rows-1,(int) matches.size()); i++)
                                {
                                                if((matches[i][0].distance < 0.6*(matches[i][1].distance)) && ((int) matches[i].size()<=2 && (int) matches[i].size()>0))
                                                {
                                                                good_matches.push_back(matches[i][0]);
                                                }
                                }                             

                                //Draw only "good" matches
                                drawMatches( object, kp_object, frame, kp_image, good_matches, img_matches,
                                                Scalar::all(-1), Scalar::all(-1), vector<char>(), DrawMatchesFlags::NOT_DRAW_SINGLE_POINTS );


                                if (good_matches.size() >= 3)
        {                                     

            for( int i = 0; i < good_matches.size(); i++ )
            {

                obj.push_back( kp_object[ good_matches[i].queryIdx ].pt );
                scene.push_back( kp_image[ good_matches[i].trainIdx ].pt );
            }
                                                try
                                                {
                                                                H = findHomography( obj, scene, CV_RANSAC );
                                                }
                                                catch(Exception e){}

            perspectiveTransform( obj_corners, scene_corners, H);

            line( img_matches, scene_corners[0] + Point2f( object.cols, 0), scene_corners[1] + Point2f( object.cols, 0), Scalar(0, 255, 0), 4 );
            line( img_matches, scene_corners[1] + Point2f( object.cols, 0), scene_corners[2] + Point2f( object.cols, 0), Scalar( 0, 255, 0), 4 );
            line( img_matches, scene_corners[2] + Point2f( object.cols, 0), scene_corners[3] + Point2f( object.cols, 0), Scalar( 0, 255, 0), 4 );
            line( img_matches, scene_corners[3] + Point2f( object.cols, 0), scene_corners[0] + Point2f( object.cols, 0), Scalar( 0, 255, 0), 4 );
        }

        imshow( "Good Matches", img_matches );

                                good_matches.clear();

        key = waitKey(1);
    }
    return 0;
}

Answer 2

而不是在代码中使用“Range（Location）.Activate”而使用“Range（Location）.select”。剩余的代码将按照您的逻辑工作

Activecell.Adress未返回原始字段

2 个答案: