I want to resize an RGB image with the Bicubic interpolation. I used the following code :
// Include standard headers
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <vector>
#include <ctime>
#include <iostream>
using namespace std;
//#include <opencv.hpp>
#include <opencv/cv.h>
#include <opencv2/core/core.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/imgcodecs.hpp>
#include <opencv/highgui.h>
using namespace cv;
int main()
{
string fileName = "myImage.jpg";
Mat imageSrc = cv::imread(fileName, CV_LOAD_IMAGE_UNCHANGED); // Read the file
if (!imageSrc.data) // Check for invalid input
{
cout << "Could not open or find the image\n";
return 1;
}
cout << "Loaded " << fileName << " (" << imageSrc.channels() << " channels)\n";
imageSrc.convertTo(imageSrc, CV_32F, 1 / 255.0, 0.0);
int SliceSizeWidth = imageSrc.cols / 2;
int sliceShiftWidth = imageSrc.cols / 4;
int sliceWidthNumber = (imageSrc.cols / sliceShiftWidth) - 1;
int SliceSizeHeight = imageSrc.rows / 2;
int sliceShiftHeight = imageSrc.rows / 4;
int sliceHeightNumber = (imageSrc.rows / sliceShiftHeight) - 1;
for (int sliceIndexHeight = 0; sliceIndexHeight < sliceHeightNumber; sliceIndexHeight++)
{
for (int sliceIndexWidth = 0; sliceIndexWidth < sliceWidthNumber; sliceIndexWidth++)
{
Mat patchImage = imageSrc(Rect(sliceIndexWidth*sliceShiftWidth, sliceIndexHeight*sliceShiftHeight, SliceSizeWidth, SliceSizeHeight));
Mat patchImageCopy;
patchImage.copyTo(patchImageCopy); // Deep copy => data are contiguous in patchImageCopy
Mat imageBicubic;
resize(patchImageCopy, imageBicubic, Size(2 * patchImage.cols, 2 * patchImage.rows), INTER_CUBIC);
}
}
return 0;
}
My problem is that even if imageBicubic.channels() = 3, when I want to access the second and the third channels, I can't.
I used this line : cout << imageBicubic.at<float>(25,25,1) << endl; in order to see if the second channel was filled, and it seems that it was not (the dims of my image are 756*1200*3). The .exe just stop working. Without the cout, the .exe works fine.
Do I have something to add on the resize fonction to get a 3D Mat at the end ?
Thank you for your time !
Related
I'm using visual studio 2019 with OpenCV 4.4.0
every thing was great but when i want to start face detection the cascade classifiar doesn't load the haarcascade
you also have to know that i installed openCV in the c partition and this is a simple code
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <opencv2\opencv.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <Windows.h>
#include <vector>
#include <stdio.h>
using namespace std;
using namespace cv;
int main()
{
VideoCapture cam(0);
Mat img;
CascadeClassifier detector;
vector<Rect> faces;
Point p[2];
bool cap = false;
if (!detector.load("c:\\opencv\\sources\\data\\haarcascades\\haarcascade_frontalface_default.xml"))
{
cout << "Image Detector Doesn't work\n";
return EXIT_FAILURE;
}
if (!cam.isOpened())
{
cout << "Can't Open Camera\n";
return EXIT_FAILURE;
}
while (!cap)
{
cam.read(img);
imshow("Cam", img);
waitKey(0);
if (GetAsyncKeyState(VK_ESCAPE))
cap = true;
}
destroyWindow("Cam");
cout << "Detecting Face...\n";
detector.detectMultiScale(img, faces);
for (int i = 0; i < faces.size(); i++)
{
p[0] = Point(faces[i].x,faces[i].y);
p[1] = Point(faces[i].x + faces[i].height,faces[i].y + faces[i].width);
rectangle(img,p[0],p[1],Scalar(0,0,255),3);
}
imwrite("Result.jpg",img);
return EXIT_SUCCESS;
}
this code doesn't load the haarcascade and it returns "can't load" in the cmd
so i really need help with and thanks for all
\ is used as escape sequence in C++ string literals.
Therefore, you should use \\ to put a character \ in them.
if (!dec.load("c:\\opencv\\sources\\data\\haarcascades\\haarcascade_frontalface_default.xml"))
I have a CImg image (with double values) with the following form in c++:
CImg<double> image(512,512);
Tcyl.fill(1);
I would like to use ITK functionality to transform this image. So I need to transform this CImg image into itkImage object. How can I convert?
I have never used ITK before, so this was a learning curve. Anyway, I managed to make a radial gradient of floats in CImg and convert that to an ITK image and then write that as a float TIFF.
#include <iostream>
#include <cstdlib>
#define cimg_display 0
#include "CImg.h"
#include "itkImage.h"
#include "itkImportImageFilter.h"
#include "itkImageFileWriter.h"
#include "itkTIFFImageIO.h"
using namespace cimg_library;
using namespace std;
#define W 512
#define H 512
int main() {
// Create and initialise float image with radial gradient
cimg_library::CImg<float> img(W,H);
cimg_forXY(img,x,y) {img(x,y) = hypot((float)(W/2-x),(float)(H/2-y)); }
// Now convert CImg image to ITK image
const unsigned int Dimension = 2;
typedef itk::Image<float,Dimension> InputImageType;
typedef itk::ImportImageFilter<float,Dimension> ImportFilterType;
ImportFilterType::Pointer importFilter = ImportFilterType::New();
InputImageType::SizeType imsize;
imsize[0] = img.width();
imsize[1] = img.height();
ImportFilterType::IndexType start;
start.Fill(0);
ImportFilterType::RegionType region;
region.SetIndex(start);
region.SetSize(imsize);
importFilter->SetRegion(region);
const itk::SpacePrecisionType origin[Dimension] = {0.0,0.0};
importFilter->SetOrigin(origin);
const itk::SpacePrecisionType spacing[Dimension] = {1.0,1.0};
importFilter->SetSpacing(spacing);
// Tell ITK importFilter to take pixels directly from CImg's buffer
importFilter->SetImportPointer(img.data(),imsize[0]*imsize[1],false);
// Write result as a TIFF - so I can check it worked
typedef itk::ImageFileWriter<InputImageType> WriterType;
typedef itk::TIFFImageIO TIFFIOType;
TIFFIOType::Pointer tiffIO = TIFFIOType::New();
tiffIO->SetPixelType(itk::ImageIOBase::SCALAR);
WriterType::Pointer writer = WriterType::New();
writer->SetFileName("result.tif");
writer->SetInput(importFilter->GetOutput());
writer->SetImageIO(tiffIO);
writer->Update();
}
And here's the result (converted to JPEG for SO):
It works just the same if you change float for double except you can't write doubles to a TIFF so the last bit won't work.
I've been messing around some more and managed to load the pixels into a new ITK image ready for further processing, rather than for output:
#include <iostream>
#include <cstdlib>
#define cimg_display 0
#include "CImg.h"
#include "itkImage.h"
#include "itkImageRegionIterator.h"
using namespace cimg_library;
using namespace std;
#define W 5
#define H 3
int main() {
// Create and initialise double image with simple formula
cimg_library::CImg<double> img(W,H);
cimg_forXY(img,x,y) {img(x,y) = (double)x+(10.0*(double)y); }
// Now convert CImg image to ITK image
const unsigned int Dimension = 2;
typedef itk::Image<double,2> ImageType;
ImageType::Pointer image = ImageType::New();
ImageType::SizeType size;
size[0] = img.width();
size[1] = img.height();
ImageType::IndexType start;
start.Fill(0);
ImageType::RegionType region;
region.SetSize(size);
region.SetIndex(start);
image->SetRegions(region);
image->Allocate();
double origin[2];
origin[0]=0;
origin[1]=0;
image->SetOrigin(origin);
double spacing[2];
spacing[0]=1;
spacing[1]=1;
image->SetSpacing(spacing);
typedef itk::ImageRegionIterator<ImageType> IteratorType;
IteratorType it(image,region);
it.GoToBegin();
const double* data = img.data();
while(!it.IsAtEnd()){
it.Set(*data);
++it;
++data;
}
// Display pixels for checking purposes
for(unsigned int r = 0; r < H; r++)
{
for(unsigned int c = 0; c < W; c++)
{
ImageType::IndexType pixelIndex;
pixelIndex[0] = c;
pixelIndex[1] = r;
ImageType::PixelType pixelValue = image->GetPixel( pixelIndex );
cout << "Image[" << r << "," << c << "]: " << pixelValue << endl;
}
}
}
Sample Output
Image[0,0]: 0
Image[0,1]: 1
Image[0,2]: 2
Image[0,3]: 3
Image[0,4]: 4
Image[1,0]: 10
Image[1,1]: 11
Image[1,2]: 12
Image[1,3]: 13
Image[1,4]: 14
Image[2,0]: 20
Image[2,1]: 21
Image[2,2]: 22
Image[2,3]: 23
Image[2,4]: 24
Hello i am learning OpenCV motion detection program and currently i have this error saying 'syntax error:identifier BackgroundSubtractorMOG'
Here is the code
int main()
{
string file_name, video_out;
Mat res, frameMOG, background, framegray, backgroundgray, prevframe;
int w = 0, h = 0, x = 0, y = 0, i = 0, j = 0, fps, fourcc = 0;
int enteredregion = 0;
int index = 0;
int currArea, prevArea = 0;
int cardetected, prevframecar;
//Reading Filename from user
cout << "Please enter file name without spaces: ";
cin >> file_name;
video_out = "output.mkv";
//Creating VideoCapture object for opening file
VideoCapture cap(file_name);
if (!cap.isOpened())
{
cout << "Could not open file";
return -1;
}
//Mog object creation for background subtraction
Ptr<BackgroundSubtractor> ptrMOG;
ptrMOG = new BackgroundSubtractorMOG(); // <-error points here
cap.read(background);
I also encountered another error (): is not a member of cv:BackgroundSubtractor
frame.copyTo(current);
GaussianBlur(current, current, Size(9, 9), 0, 0, BORDER_DEFAULT);
cvtColor(current, framegray, CV_BGR2GRAY);
medianBlur(framegray, framegray, 9);
ptrMOG->operator()(framegray, frameMOG); // <--error points here
//absdiff(backgroundgray,framegray,frameMOG);
Currently i dont know how to get around this errors. I am currently using Visual Studio 2013 and OpenCv 3.0. Here is my library:
#include "opencv2/objdetect/objdetect.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>
#include <opencv2/opencv.hpp>
#include <opencv2/core/core.hpp>
#include <opencv2/video/background_segm.hpp>
I'm using Freeman Chain Code as Feature Extraction for an image.
I'm not able to read the image and I need to obtain a chain code xml file.
How can i retrieve the chain code xml file and save it?
Below is my c++ code in OpenCV 3.0
Can someone help..
#include "opencv2/imgproc.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/imgproc/imgproc_c.h"
#include <iostream>
#include <opencv2/core.hpp>
#include <opencv2/opencv.hpp>
#include "opencv2/imgcodecs.hpp"
#include <opencv2/highgui.hpp>
#include <opencv2/ml.hpp>
#include <fstream>
#include<string.h>
using namespace std;
using namespace cv;
int main() {
Mat img = imread("test.jpg")
imshow("Test", img);
vector<vector<Point>> contours; // Vector for storing contour
vector<Vec4i> hierarchy;
cv::findContours(img, contours, RETR_EXTERNAL,CV_CHAIN_CODE);
cout << Mat(contours[0]) << endl;
findContours(img, contours, RETR_EXTERNAL, CHAIN_APPROX_SIMPLE);
cout << "CHAIN_APPROX_SIMPLE" << endl;
cout << Mat(contours[0]) << endl;
CvChain* chain = 0;
CvMemStorage* storage = 0;
storage = cvCreateMemStorage();
cvFindContours(&IplImage(img), storage, (CvSeq**)(&chain), sizeof(*chain), CV_RETR_TREE, CV_CHAIN_CODE);
int total = chain->total;
cv::Mat hist(1, 8, CV_32F, Scalar(0));
int totalCount = 0;
for (; chain != NULL; chain = (CvChain*)chain->h_next)
{
int numChain = 0;
CvSeqReader reader;
int i, total = chain->total;
cvStartReadSeq((CvSeq*)chain, &reader, 0);
cout<<"--------------------chain\n";
for (i = 0; i<total; i++)
{
char code;
CV_READ_SEQ_ELEM(code, reader);
int Fchain = (int)code;
hist.at<float>(0, Fchain)++;
totalCount++;
cout<<"%d"<<code;
}
}
Mat prob = hist / totalCount;
cout << prob << endl;
waitKey(0);
return 0;
}
Whenever the code is being run,I'm having this error.Have I used a wrong format?? Can anyone please help?
OpenCV Error: Unsupported format or combination of formats ([Start]FindContours supports only CV_8UC1 images when mode != CV_RETR_FLOODFILL otherwise supports CV_32SC1 images only) in cvStartFindContours, file C:\buildslave64\win64_amdocl\master_PackSlave-win64-vc14-shared\opencv\modules\imgproc\src\contours.cpp, line 198
I have updated my code.I'm able to save the xml file but but I'm getting the data in only 1 row.
#include "opencv2/imgproc.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/imgproc/imgproc_c.h"
#include <iostream>
#include <opencv2/core.hpp>
#include <opencv2/opencv.hpp>
#include "opencv2/imgcodecs.hpp"
#include <opencv2/highgui.hpp>
#include <opencv2/ml.hpp>
#include <fstream>
#include<string.h>
using namespace std;
using namespace cv;
vector<String> files;
int main() {
double totalCount = 0;
cv::glob("C:/Users//Videos/Database/Frames/*.jpg", files);
for (size_t i = 0; i < files.size(); i++) {
Mat image = imread(files[i]);
//Mat image = imread("Outline.jpg");
Canny(image, image, 100, 100 * 2, 3, false);
CvChain* chain;
CvMemStorage* storage = 0;
storage = cvCreateMemStorage();
cvFindContours(&IplImage(image), storage, (CvSeq**)(&chain), sizeof(*chain), CV_RETR_EXTERNAL, CV_CHAIN_CODE);
int total = chain->total;
// 1 row, 8 cols, filled with zeros, (float type, because we want to normalize later):
cv::Mat hist(1, 8, CV_32F, Scalar(0));
for (; chain != NULL; chain = (CvChain*)chain->h_next)
{
CvSeqReader reader;
int i, total = chain->total;
cvStartReadSeq((CvSeq*)chain, &reader, 0);
for (i = 0; i < total; i++)
{
char code;
CV_READ_SEQ_ELEM(code, reader);
int Fchain = (int)code;
// increase the counter for the respective bin:
hist.at<float>(0, Fchain)++;
totalCount++;
}
}
// print the raw histogram:
cout << "Histo: " << hist << endl;
cout << "Total: " << totalCount << endl;
// normalize it:
Mat prob = hist / totalCount;
cout << "Proba: " << prob << endl;
FileStorage fs("freeman.xml", FileStorage::WRITE);
fs << "chain" << prob;
waitKey(0);
return 0;
}
}
As shown below i'm having my chain code xml like this.Why am i getting this? Can anyone help me please?
<?xml version="1.0"?>
<opencv_storage>
<chain type_id="opencv-matrix">
<rows>1</rows>
<cols>8</cols>
<dt>f</dt>
<data>
5.00000000e-01 0. 0. 0. 5.00000000e-01 0. 0. 0.</data></chain>
</opencv_storage>
The error message says exactly and unambiguously what is wrong - it's enough to read it. cv::findContours() accepts only images of CV_8UC1 pixel type or only CV_32SC1 if you use CV_RETR_FLOODFILL mode. In your particular case, you need to convert your img object to CV_8UC1 after loading - you are probably loading an RGB image.
I am new to SVM. I used to do object detection using HAAR Cascading. Now I am trying to implement SVM for object detection. I searched online and got to know about the basics.
I wanted to use libsvm while coding for c++. I am getting lots of problems.
Can anyone please explain step by step process of using it for object detection.
BTW I looked into opencv documentation of svm. But I am not able to do anything further.
Also I got this code for training my SVM and saving it into an xml file.
Now I want a code which can take this xml and detect objects in test cases.
#include <opencv2/core/core.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <cv.h>
#include <highgui.h>
#include <cvaux.h>
#include <iostream>
#include <vector>
#include<string.h>
using namespace std;
using namespace cv;
int main ( int argc, char** argv )
{
cout << "OpenCV Training SVM Automatic Number Plate Recognition\n";
cout << "\n";
char* path_Plates;
char* path_NoPlates;
int numPlates;
int numNoPlates;
int imageWidth=150;
int imageHeight=150;
//Check if user specify image to process
if(1)
{
numPlates= 11;
numNoPlates= 90 ;
path_Plates= "/home/kaushik/opencv_work/Manas6/Pics/Positive_Images/";
path_NoPlates= "/home/kaushik/opencv_work/Manas6/Pics/Negative_Images/i";
}else{
cout << "Usage:\n" << argv[0] << " <num Plate Files> <num Non Plate Files> <path to plate folder files> <path to non plate files> \n";
return 0;
}
Mat classes;//(numPlates+numNoPlates, 1, CV_32FC1);
Mat trainingData;//(numPlates+numNoPlates, imageWidth*imageHeight, CV_32FC1 );
Mat trainingImages;
vector<int> trainingLabels;
for(int i=1; i<= numPlates; i++)
{
stringstream ss(stringstream::in | stringstream::out);
ss<<path_Plates<<i<<".jpg";
try{
const char* a = ss.str().c_str();
printf("\n%s\n",a);
Mat img = imread(ss.str(), CV_LOAD_IMAGE_UNCHANGED);
img= img.clone().reshape(1, 1);
//imshow("Window",img);
//cout<<ss.str();
trainingImages.push_back(img);
trainingLabels.push_back(1);
}
catch(Exception e){;}
}
for(int i=0; i< numNoPlates; i++)
{
stringstream ss(stringstream::in | stringstream::out);
ss << path_NoPlates<<i << ".jpg";
try
{
const char* a = ss.str().c_str();
printf("\n%s\n",a);
Mat img=imread(ss.str(), 0);
//imshow("Win",img);
img= img.clone().reshape(1, 1);
trainingImages.push_back(img);
trainingLabels.push_back(0);
//cout<<ss.str();
}
catch(Exception e){;}
}
Mat(trainingImages).copyTo(trainingData);
//trainingData = trainingData.reshape(1,trainingData.rows);
trainingData.convertTo(trainingData, CV_32FC1);
Mat(trainingLabels).copyTo(classes);
FileStorage fs("SVM.xml", FileStorage::WRITE);
fs << "TrainingData" << trainingData;
fs << "classes" << classes;
fs.release();
return 0;
}
Any help would be greatly appreciated.
Also I would love to have suggestions on how to implement libsvm for object detection.
This is a simple code which you could take a test with your xml file:
#include "highgui.h"
#include "opencv2/imgproc/imgproc.hpp"
#include "cv.h"
#include <vector>
#include <string.h>
#include <ml.h>
#include <iostream>
#include <io.h>
using namespace cv;
using namespace std;
int main()
{
FileStorage fs;
fs.open("SVM.xml", FileStorage::READ);
Mat trainingData;
Mat classes;
fs["TrainingData"] >> trainingData;
fs["classes"] >> classes;
CvSVMParams SVM_params;
SVM_params.svm_type = CvSVM::C_SVC;
SVM_params.kernel_type = CvSVM::LINEAR; //CvSVM::LINEAR;
SVM_params.degree = 1;
SVM_params.gamma = 1;
SVM_params.coef0 = 0;
SVM_params.C = 1;
SVM_params.nu = 0;
SVM_params.p = 0;
SVM_params.term_crit = cvTermCriteria(CV_TERMCRIT_ITER, 1000, 0.01);
CvSVM svm(trainingData, classes, Mat(), Mat(), SVM_params);
Mat src = imread("D:\\SVM\\samples\\\pos\\10.jpg");
Mat gray;
cvtColor(src, gray, CV_BGR2GRAY);
Mat p = gray.reshape(1, 1);
p.convertTo(p, CV_32FC1);
int response = (int)svm.predict( p );
if(response ==1 )
{
cout<<"this is a object!"<<endl;
cout<<endl;
}
else
{
cout<<"no object detected!"<<endl;
cout<<endl;
}
return 0;
}
by the way,it seems that there is little problem when runing your offered code,the result shows that:"opencv errror,Image step is wrongin cv::Mat::reshape".Had you met such situation before?Thank you.