linengmiao's profile - activity

@berak what is 'p'? Didn't find anything about this in sklearn's docs. Also isn't it contradictory to have a gamma with

@berak , I tried using 200 pictures per person. But hte issue is still the same and still unsolved. I tried a one-vs-res

@berak , what classifier do you think would be the most suited then? SVM, random forest, ...?

Machine learning- what classifier to use to classify: object 1, object 2, object 3, none of those 3? I am working on a p

@berak , this might sound stupid but: regarding random forests it basically is just a successions of if statements. Woul

@berak , regarding random forests it basically is just a successions of if statements. Wouldn't it be possible to tweak/

Machine learning- what classifier to use to classify: object 1, object 2, object 3, none of those 3? I am working on a p

@berak indeed, that's what I thought. In that case what solution/work around do I have?

Machine learning- what classifier to use to classify: object 1, object 2, object 3, none of those 3? I am working on a p

Machine learning- what classifier to use to classify: object 1, object 2, object 3, none of those 3? I am working on a p

@Tetragramm , I thinkl the reason why my undistortion isn't great is because the points I selected (indicated by the red

@tetragramm my bad this is the input: https://imgur.com/apBuAwF Those two identical links, in my previous comment, are t

@tetragramm my bad this is the input: https://imgur.com/apBuAwF Those two links are the output.

@Tetragramm , I think I managed to undistort my image without a chessboard using only 1 image :). This input: https://im

@Tetragramm , I managed to undistort my image without a chessboard using only 1 image :). This input: https://imgur.com/

@Tetragramm , I managed to undistort my image using only 1 image :). This input: https://imgur.com/a/ZmpmX gave me this

@tetragramm , I ended up using this image with a chessboard: https://imgur.com/a/WlLBR provided by this website: https:/

@tetragramm , I ended up using this image with a chessboard: https://imgur.com/a/WlLBR provided by this website: https:/

@berak , I don't see what difference I may get if I would place a checkerboard in front of the camera. At the end of the

@berak , what would you suggest me to try, if this is the only image I may have currently? I think the points I choose s

issue camera calibration Hello I am trying to calibrate a camera with a fisheye lens. I therefor used the fisheye lens

issue camera calibration Hello I am trying to calibrate a camera with a fisheye lens. I therefor used the fisheye lens

issue camera calibration Hello I am trying to calibrate a camera with a fisheye lens. I therefor used the fisheye lens

issue camera calibration Hello I am trying to calibrate a camera with a fisheye lens. I therefor used the fisheye lens

manually specified variables were not used: BUILD_opencv_python2 Hello I am trying to build openCV2.4 (I need that spec

manually specified variables were not used: BUILD_opencv_python2 Hello I am trying to build openCV2.4 (I need that spec

Exactly what I needed. Thank you very much!

Hello

I have those two images:

I'd like to blend the overlapping parts in order to obtain an image like this (but where the corners are blended):

On the last image you can see that the 2 parts of my image are overlapping, while I actually like to blend that region.

And this is the result i obtained so far by using the code below :

I actually want to obtain a continuous smooth image.

How can this be achieved without creating artifacts?

Thanks

//g++ stitcher2.cpp $(pkg-config --cflags --libs opencv) -o main

#include <opencv2/opencv.hpp>
#include "opencv2/core.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/aruco.hpp"
#include "opencv2/aruco/dictionary.hpp"
#include "opencv2/calib3d.hpp"

#include <sstream>
#include <iostream>
#include <fstream>

using namespace std;
using namespace cv;


int main(void)
{

    Mat horizontalImg = imread("/home/a/Desktop/part1.png");
    Mat verticalImg = imread("/home/a/Desktop/part2.png");
    Mat output = Mat::zeros(horizontalImg.cols, verticalImg.rows, CV_8UC3);

    //imshow("a", horizontalImg);
    //imshow("b", verticalImg);
    //waitKey(0);

    int widthOverlap = 149;
    int heightOverlap = 152;
    Vec3b white = (255, 255, 255);

    for(int i=0;i<verticalImg.rows;i++)
    {
        for(int j=0;j<horizontalImg.cols;j++)
        {
            if(i<heightOverlap)
            {
                if(j<widthOverlap)
                {
                    output.at<Vec3b>(i,j) = (0.5 * horizontalImg.at<Vec3b>(i,j)) + (0.5 * verticalImg.at<Vec3b>(i,j));

                }
                else
                {
                    output.at<Vec3b>(i,j) = horizontalImg.at<Vec3b>(i,j);
                }
            }
            if(j<widthOverlap)
            {
                if(i>heightOverlap)
                {
                   output.at<Vec3b>(i,j) = verticalImg.at<Vec3b>(i,j);
                }                
            }
            if(j>widthOverlap)
            {
                if(i>heightOverlap)
                {
                   output.at<Vec3b>(i,j) = white;
                }                
            }

        }
    }

    imshow("final result", output);
    waitKey(0);


    return 0;
}

How to blend a horizontal and vertical image? Hello I have those two images: I'd like to blend the overlapping par

How to blend a horizontal and vertical image? Hello I have those two images: I'd like to blend the overlapping par

How to blend a horizontal and vertical image? Hello I have those two images: http://imgur.com/a/SiGIW and http://imgur

How to blend a horizontal and vertical image? Hello I have those two images: http://imgur.com/a/SiGIW and http://imgur

How to blend a horizontal and vertical image? Hello I have those two images: http://imgur.com/a/SiGIW and http://imgur

How to have the canvas fit the transformed image when using warpperspective? Hello My question is fairly simple. This i

hmm well I want to detect the location of hands in an image. So I guess I'll need the function detectMultiScale at one moment or another.... So does that mean I have to modify my parameters (although -without wanting to sound rude- what you suggest doesn't seem to be what I need)?

thanks for the hints, I have read the docs and had a look at the source code. Note that I already have a linear kernel (line 83) and use C_SVC as a SVM type rather than SVR because I want classification (hand/ no hand) rather than regression in order to detect a hand in an image. Feel free to correct me if I misunderstood what you meant or something else.

What do you suggest for the hog features, if you say they are 10x bigger than the usual? This is how I did it: https://pastebin.com/w8WVmjmV I think the way i did lays in line with the examples provided by the docs and the infor I could find online.

Also I currently don't have the time to download 1000 images of hands :) , I ll try to do that later, currently I am using this just for testing purposes. Do I understand this corrrectly: if I have 1k images or less I can use eg SVM, while if I have more than 1k images I m better off using neural nets?