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-rw-r--r--sci_gateway1/cpp/opencv_CascadeObjectDetector.cpp431
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diff --git a/sci_gateway1/cpp/opencv_CascadeObjectDetector.cpp b/sci_gateway1/cpp/opencv_CascadeObjectDetector.cpp
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+++ b/sci_gateway1/cpp/opencv_CascadeObjectDetector.cpp
@@ -0,0 +1,431 @@
+/********************************************************
+Author: Diwakar Bhardwaj
+*********************************************************
+Usage :return_image=insertObjectAnnotation(input_image,'object')
+
+where object can be mouth,nose,ear or upperbody etc.
+********************************************************/
+
+#include <numeric>
+#include "opencv2/core/core.hpp"
+#include "opencv2/highgui/highgui.hpp"
+#include "opencv2/opencv.hpp"
+#include <iostream>
+using namespace cv;
+using namespace std;
+
+extern "C"
+{
+ #include "api_scilab.h"
+ #include "Scierror.h"
+ #include "BOOL.h"
+ #include <localization.h>
+ #include "sciprint.h"
+ #include "../common.h"
+
+ int opencv_CascadeObjectDetector(char *fname, unsigned long fname_len)
+ {
+ SciErr sciErr;
+ int intErr = 0;
+ int iRows=0,iCols=0;
+ int *piAddr = NULL;
+ int *piAddrNew = NULL;
+ int *piAddr2 = NULL;
+ int *piAddr3 = NULL;
+ int *piLen = NULL;
+ char **object = NULL;
+ double *bboxes = NULL;
+ int i,j,k=0,l=0;
+ double alpha, beta,x,n;
+
+ CascadeClassifier face_cascade;
+ CascadeClassifier eyes_cascade;
+ CascadeClassifier mouth_cascade;
+ CascadeClassifier nose_cascade;
+ CascadeClassifier upperbody_cascade;
+
+ vector<Rect>faces,eyes,mouth,nose,upperbody;
+ face_cascade.load("/home/diwakar/Desktop/opencv-2.4.9/data/haarcascades/haarcascade_frontalface_alt.xml");
+ eyes_cascade.load("/home/diwakar/Desktop/opencv-2.4.9/data/haarcascades/haarcascade_mcs_eyepair_big.xml");
+ mouth_cascade.load("/home/diwakar/Desktop/opencv-2.4.9/data/haarcascades/haarcascade_mcs_mouth.xml");
+ nose_cascade.load("/home/diwakar/Desktop/opencv-2.4.9/data/haarcascades/haarcascade_mcs_nose.xml");
+ upperbody_cascade.load("/home/diwakar/Desktop/opencv-2.4.9/data/haarcascades/haarcascade_mcs_upperbody.xml");
+
+ float eye_x1,eye_y1,eye_x2,eye_y2,mouth_x1,mouth_y1,mouth_x2,mouth_y2,nose_x1,nose_y1,nose_x2,nose_y2;
+ //checking input argument
+ CheckInputArgument(pvApiCtx, 2, 2);
+ CheckOutputArgument(pvApiCtx, 1, 1) ;
+ Mat image,new_image,image_gray;
+
+ retrieveImage(image, 1);
+
+ sciErr = getVarAddressFromPosition(pvApiCtx,2, &piAddr2);
+
+ if (sciErr.iErr)
+ {
+ printError(&sciErr, 0);
+ return 0;
+ }
+ sciErr = getMatrixOfString(pvApiCtx, piAddr2, &iRows, &iCols, NULL, NULL);
+ if(sciErr.iErr)
+ {
+ printError(&sciErr, 0);
+ return 0;
+ }
+ piLen = (int*)malloc(sizeof(int) * iRows * iCols);
+ //second call to retrieve length of each string
+ sciErr = getMatrixOfString(pvApiCtx, piAddr2, &iRows, &iCols, piLen, NULL);
+ if(sciErr.iErr)
+ {
+ printError(&sciErr, 0);
+ return 0;
+ }
+ object= (char**)malloc(sizeof(char*) * iRows * iCols);
+ for(i = 0 ; i < iRows * iCols ; i++)
+ {
+ object[i] = (char*)malloc(sizeof(char) * (piLen[i] + 1));//+ 1 for null termination
+ }
+ //third call to retrieve data
+ sciErr = getMatrixOfString(pvApiCtx, piAddr2, &iRows, &iCols, piLen,object);
+ if(sciErr.iErr)
+ {
+ printError(&sciErr, 0);
+ return 0;
+ }
+ int m;
+ double *bboxes = NULL;
+ bboxes = (double*)malloc(sizeof(double) * (int)answer.size() * 4);
+ int tbox=0;
+ //Converting image from rgb to gray scale image.
+ cvtColor( image, image_gray, CV_BGR2GRAY );
+ //equalizing the histrogram of gray scale image
+ equalizeHist( image_gray, image_gray );
+
+ face_cascade.detectMultiScale( image, faces, 1.2,2,CV_HAAR_SCALE_IMAGE | CV_HAAR_DO_CANNY_PRUNING, cvSize(0,0), cvSize(255,255) );
+ if(strcmp(object[0],"face")==0)
+ {
+ for( int i = 0; i < faces.size(); i++ )
+ {
+<<<<<<< HEAD
+ tbox = (int)faces.Size();
+ bboxes[i + 0 * (int)faces.size()] = faces[i].x;
+ bboxes[i + 1 * (int)faces.size()] = faces[i].y;
+ bboxes[i + 2 * (int)faces.size()] = faces[i].width;
+ bboxes[i + 3 * (int)faces.size()] = faces[i].height;
+=======
+>>>>>>> c6d5c3d8dbf4db6da6d7ac081918599b6977960a
+
+ Point point1( faces[i].x + faces[i].width, faces[i].y + faces[i].height );
+ Point point2( faces[i].x, faces[i].y);
+ rectangle(image,point1,point2,cvScalar(0,255,0),1,16,0);
+<<<<<<< HEAD
+ Mat faceROI = image_gray( faces[i] );
+
+ eyes_cascade.detectMultiScale( faceROI, eyes, 1.1, 2, 0 |CV_HAAR_SCALE_IMAGE, Size(30, 30) );
+
+ for( int j = 0; j < eyes.size(); j++ )
+ {
+ Point point3( faces[i].x + eyes[j].x + eyes[j].width, faces[i].y + eyes[j].y + eyes[j].height );
+ Point point4(faces[i].x + eyes[j].x, faces[i].y + eyes[j].y );
+
+ //rectangle(image,point3,point4,cvScalar(0,0,255),1,8,0);
+ }
+ eye_x1=faces[0].x + eyes[0].x + eyes[0].width;
+ eye_y1=faces[0].y + eyes[0].y + eyes[0].height;
+ eye_x2=faces[0].x + eyes[0].x;
+ eye_y2=faces[0].y + eyes[0].y;
+
+ nose_cascade.detectMultiScale( faceROI, nose, 1.1, 2, 0 |CV_HAAR_SCALE_IMAGE, Size(30, 30) );
+ for( int j = 0; j < nose.size(); j++ )
+ {
+ if((faces[i].x +nose[j].x + nose[j].width)<eye_x1 && (faces[i].y + nose[j].y + nose[j].height)>eye_y1)
+ if((faces[i].x +nose[j].x)>eye_x2)
+ {
+ Point point7(faces[i].x +nose[j].x + nose[j].width,faces[i].y + nose[j].y + nose[j].height );
+ Point point8(faces[i].x +nose[j].x,faces[i].y+nose[j].y );
+
+ //rectangle(image,point7,point8,cvScalar(255,255,0),1,8,0);
+ m=j;
+
+ }
+ }
+
+ nose_x1=faces[0].x + nose[m].x + nose[m].width;
+ nose_y1=faces[0].y + nose[m].y + nose[m].height;
+ nose_x2=faces[0].x + nose[m].x;
+ nose_y2=faces[0].y + nose[m].y;
+
+ mouth_cascade.detectMultiScale( faceROI, mouth, 1.1, 2, 0 |CV_HAAR_SCALE_IMAGE, Size(30, 30) );
+ for( int j = 0; j < mouth.size(); j++ )
+ {
+
+ if((faces[i].x +mouth[j].x + mouth[j].width)<eye_x1 && (faces[i].x +mouth[j].x)>eye_x2)
+ {
+ if((faces[i].y + mouth[j].y + mouth[j].height)>(faces[i].y+nose[m].y +nose[m].height))
+ {
+ Point point5(faces[i].x +mouth[j].x + mouth[j].width,faces[i].y + mouth[j].y + mouth[j].height );
+ Point point6(faces[i].x +mouth[j].x,faces[i].y + mouth[j].y );
+
+ //rectangle(image,point5,point6,cvScalar(0,255,0),1,8,0);
+ m=j;
+ }
+ }
+ }
+ mouth_x1=faces[0].x + mouth[m].x + mouth[m].width;
+ mouth_y1=faces[0].y + mouth[m].y + mouth[m].height;
+ mouth_x2=faces[0].x + mouth[m].x;
+ mouth_y2=faces[0].y + mouth[m].y;
+=======
+>>>>>>> c6d5c3d8dbf4db6da6d7ac081918599b6977960a
+
+ }
+ }
+ else if(strcmp(object[0],"eyes")==0)
+ {
+ for( int i = 0; i < faces.size(); i++ )
+ {
+ Point point1( faces[i].x + faces[i].width, faces[i].y + faces[i].height );
+ Point point2( faces[i].x, faces[i].y);
+ //rectangle(image,point1,point2,cvScalar(0,255,0),1,16,0);
+ Mat faceROI = image_gray( faces[i] );
+
+ eyes_cascade.detectMultiScale( faceROI, eyes, 1.1, 2, 0 |CV_HAAR_SCALE_IMAGE, Size(30, 30) );
+
+ for( int j = 0; j < eyes.size(); j++ )
+ {
+ Point point3( faces[i].x + eyes[j].x + eyes[j].width, faces[i].y + eyes[j].y + eyes[j].height );
+ Point point4(faces[i].x + eyes[j].x, faces[i].y + eyes[j].y );
+
+ rectangle(image,point3,point4,cvScalar(0,0,255),1,8,0);
+ }
+ eye_x1=faces[0].x + eyes[0].x + eyes[0].width;
+ eye_y1=faces[0].y + eyes[0].y + eyes[0].height;
+ eye_x2=faces[0].x + eyes[0].x;
+ eye_y2=faces[0].y + eyes[0].y;
+
+ nose_cascade.detectMultiScale( faceROI, nose, 1.1, 2, 0 |CV_HAAR_SCALE_IMAGE, Size(30, 30) );
+ for( int j = 0; j < nose.size(); j++ )
+ {
+ if((faces[i].x +nose[j].x + nose[j].width)<eye_x1 && (faces[i].y + nose[j].y + nose[j].height)>eye_y1)
+ if((faces[i].x +nose[j].x)>eye_x2)
+ {
+ Point point7(faces[i].x +nose[j].x + nose[j].width,faces[i].y + nose[j].y + nose[j].height );
+ Point point8(faces[i].x +nose[j].x,faces[i].y+nose[j].y );
+
+ //rectangle(image,point7,point8,cvScalar(255,255,0),1,8,0);
+ m=j;
+
+ }
+ }
+
+ nose_x1=faces[0].x + nose[m].x + nose[m].width;
+ nose_y1=faces[0].y + nose[m].y + nose[m].height;
+ nose_x2=faces[0].x + nose[m].x;
+ nose_y2=faces[0].y + nose[m].y;
+
+ mouth_cascade.detectMultiScale( faceROI, mouth, 1.1, 2, 0 |CV_HAAR_SCALE_IMAGE, Size(30, 30) );
+ for( int j = 0; j < mouth.size(); j++ )
+ {
+
+ if((faces[i].x +mouth[j].x + mouth[j].width)<eye_x1 && (faces[i].x +mouth[j].x)>eye_x2)
+ {
+ if((faces[i].y + mouth[j].y + mouth[j].height)>(faces[i].y+nose[m].y +nose[m].height))
+ {
+ Point point5(faces[i].x +mouth[j].x + mouth[j].width,faces[i].y + mouth[j].y + mouth[j].height );
+ Point point6(faces[i].x +mouth[j].x,faces[i].y + mouth[j].y );
+
+ //rectangle(image,point5,point6,cvScalar(0,255,0),1,8,0);
+ m=j;
+ }
+ }
+ }
+ mouth_x1=faces[0].x + mouth[m].x + mouth[m].width;
+ mouth_y1=faces[0].y + mouth[m].y + mouth[m].height;
+ mouth_x2=faces[0].x + mouth[m].x;
+ mouth_y2=faces[0].y + mouth[m].y;
+
+ }
+ }
+ else if(strcmp(object[0],"nose")==0)
+ {
+ for( int i = 0; i < faces.size(); i++ )
+ {
+ Point point1( faces[i].x + faces[i].width, faces[i].y + faces[i].height );
+ Point point2( faces[i].x, faces[i].y);
+ //rectangle(image,point1,point2,cvScalar(0,255,0),1,16,0);
+ Mat faceROI = image_gray( faces[i] );
+
+ eyes_cascade.detectMultiScale( faceROI, eyes, 1.1, 2, 0 |CV_HAAR_SCALE_IMAGE, Size(30, 30) );
+
+ for( int j = 0; j < eyes.size(); j++ )
+ {
+ Point point3( faces[i].x + eyes[j].x + eyes[j].width, faces[i].y + eyes[j].y + eyes[j].height );
+ Point point4(faces[i].x + eyes[j].x, faces[i].y + eyes[j].y );
+
+ //rectangle(image,point3,point4,cvScalar(0,0,255),1,8,0);
+ }
+ eye_x1=faces[0].x + eyes[0].x + eyes[0].width;
+ eye_y1=faces[0].y + eyes[0].y + eyes[0].height;
+ eye_x2=faces[0].x + eyes[0].x;
+ eye_y2=faces[0].y + eyes[0].y;
+
+ nose_cascade.detectMultiScale( faceROI, nose, 1.1, 2, 0 |CV_HAAR_SCALE_IMAGE, Size(30, 30) );
+ for( int j = 0; j < nose.size(); j++ )
+ {
+ if((faces[i].x +nose[j].x + nose[j].width)<eye_x1 && (faces[i].y + nose[j].y + nose[j].height)>eye_y1)
+ if((faces[i].x +nose[j].x)>eye_x2)
+ {
+ Point point7(faces[i].x +nose[j].x + nose[j].width,faces[i].y + nose[j].y + nose[j].height );
+ Point point8(faces[i].x +nose[j].x,faces[i].y+nose[j].y );
+
+ rectangle(image,point7,point8,cvScalar(255,255,0),1,8,0);
+ m=j;
+
+ }
+ }
+
+ nose_x1=faces[0].x + nose[m].x + nose[m].width;
+ nose_y1=faces[0].y + nose[m].y + nose[m].height;
+ nose_x2=faces[0].x + nose[m].x;
+ nose_y2=faces[0].y + nose[m].y;
+
+ mouth_cascade.detectMultiScale( faceROI, mouth, 1.1, 2, 0 |CV_HAAR_SCALE_IMAGE, Size(30, 30) );
+ for( int j = 0; j < mouth.size(); j++ )
+ {
+
+ if((faces[i].x +mouth[j].x + mouth[j].width)<eye_x1 && (faces[i].x +mouth[j].x)>eye_x2)
+ {
+ if((faces[i].y + mouth[j].y + mouth[j].height)>(faces[i].y+nose[m].y +nose[m].height))
+ {
+ Point point5(faces[i].x +mouth[j].x + mouth[j].width,faces[i].y + mouth[j].y + mouth[j].height );
+ Point point6(faces[i].x +mouth[j].x,faces[i].y + mouth[j].y );
+ //rectangle(image,point5,point6,cvScalar(0,255,0),1,8,0);
+ m=j;
+ }
+ }
+ }
+ mouth_x1=faces[0].x + mouth[m].x + mouth[m].width;
+ mouth_y1=faces[0].y + mouth[m].y + mouth[m].height;
+ mouth_x2=faces[0].x + mouth[m].x;
+ mouth_y2=faces[0].y + mouth[m].y;
+
+ }
+ }
+ else if(strcmp(object[0],"mouth")==0)
+ {
+ for( int i = 0; i < faces.size(); i++ )
+ {
+ Point point1( faces[i].x + faces[i].width, faces[i].y + faces[i].height );
+ Point point2( faces[i].x, faces[i].y);
+ //rectangle(image,point1,point2,cvScalar(0,255,0),1,16,0);
+ Mat faceROI = image_gray( faces[i] );
+
+ eyes_cascade.detectMultiScale( faceROI, eyes, 1.1, 2, 0 |CV_HAAR_SCALE_IMAGE, Size(30, 30) );
+
+ for( int j = 0; j < eyes.size(); j++ )
+ {
+ Point point3( faces[i].x + eyes[j].x + eyes[j].width, faces[i].y + eyes[j].y + eyes[j].height );
+ Point point4(faces[i].x + eyes[j].x, faces[i].y + eyes[j].y );
+
+ //rectangle(image,point3,point4,cvScalar(0,0,255),1,8,0);
+ }
+ eye_x1=faces[0].x + eyes[0].x + eyes[0].width;
+ eye_y1=faces[0].y + eyes[0].y + eyes[0].height;
+ eye_x2=faces[0].x + eyes[0].x;
+ eye_y2=faces[0].y + eyes[0].y;
+
+ nose_cascade.detectMultiScale( faceROI, nose, 1.1, 2, 0 |CV_HAAR_SCALE_IMAGE, Size(30, 30) );
+ for( int j = 0; j < nose.size(); j++ )
+ {
+ if((faces[i].x +nose[j].x + nose[j].width)<eye_x1 && (faces[i].y + nose[j].y + nose[j].height)>eye_y1)
+ if((faces[i].x +nose[j].x)>eye_x2)
+ {
+ Point point7(faces[i].x +nose[j].x + nose[j].width,faces[i].y + nose[j].y + nose[j].height );
+ Point point8(faces[i].x +nose[j].x,faces[i].y+nose[j].y );
+
+ //rectangle(image,point7,point8,cvScalar(255,255,0),1,8,0);
+ m=j;
+
+ }
+ }
+
+ nose_x1=faces[0].x + nose[m].x + nose[m].width;
+ nose_y1=faces[0].y + nose[m].y + nose[m].height;
+ nose_x2=faces[0].x + nose[m].x;
+ nose_y2=faces[0].y + nose[m].y;
+ mouth_cascade.detectMultiScale( faceROI, mouth, 1.1, 2, 0 |CV_HAAR_SCALE_IMAGE, Size(30, 30) );
+ for( int j = 0; j < mouth.size(); j++ )
+ {
+ if((faces[i].x +mouth[j].x + mouth[j].width)<eye_x1 && (faces[i].x +mouth[j].x)>eye_x2)
+ {
+ if((faces[i].y + mouth[j].y + mouth[j].height)>(faces[i].y+nose[m].y +nose[m].height))
+ {
+ Point point5(faces[i].x +mouth[j].x + mouth[j].width,faces[i].y + mouth[j].y + mouth[j].height );
+ Point point6(faces[i].x +mouth[j].x,faces[i].y + mouth[j].y );
+ //if(strcmp(object[0],"mouth")==0)
+ rectangle(image,point5,point6,cvScalar(0,255,0),1,8,0);
+ m=j;
+ }
+ }
+ }
+ mouth_x1=faces[0].x + mouth[m].x + mouth[m].width;
+ mouth_y1=faces[0].y + mouth[m].y + mouth[m].height;
+ mouth_x2=faces[0].x + mouth[m].x;
+ mouth_y2=faces[0].y + mouth[m].y;
+
+ }
+ }
+ else if(strcmp(object[0],"upper_body")==0)
+ {
+ upperbody_cascade.detectMultiScale( image_gray, upperbody, 1.1, 2, 0|CV_HAAR_SCALE_IMAGE, Size(255, 255) );
+
+ for( int i = 0; i < upperbody.size(); i++ )
+ {
+ Rect t = upperbody[i];
+ t.y += 100;
+ rectangle(image, t, Scalar(255,255,255), 4, 8);
+ }
+ }
+ else
+ {
+ sciprint("Wrong object type");
+
+ }
+
+ //new_image=image;
+
+
+
+<<<<<<< HEAD
+ /*int temp = nbInputArgument(pvApiCtx) + 1;
+ string tempstring = type2str(new_image.type());
+ char *checker;
+ checker = (char *)malloc(tempstring.size() + 1);
+ memcpy(checker, tempstring.c_str(), tempstring.size() + 1);
+ returnImage(checker,new_image,1);
+ free(checker); */
+ sciErr = createMatrixOfDouble(pvApiCtx, nbInputArgument(pvApiCtx) + 1, tbox, 4, bboxes);
+=======
+ int temp = nbInputArgument(pvApiCtx) + 1;
+ string tempstring = type2str(image.type());
+ char *checker;
+ checker = (char *)malloc(tempstring.size() + 1);
+ memcpy(checker, tempstring.c_str(), tempstring.size() + 1);
+ returnImage(checker,image,1);
+ free(checker);
+ /*sciErr = createMatrixOfDouble(pvApiCtx, nbInputArgument(pvApiCtx) + 1, tbox, 4, bboxes);
+>>>>>>> c6d5c3d8dbf4db6da6d7ac081918599b6977960a
+ if(sciErr.iErr){
+ printError(&sciErr, 0);
+ return 0;
+ }
+
+ //Assigning the list as the Output Variable
+ AssignOutputVariable(pvApiCtx, 1) = nbInputArgument(pvApiCtx) + 1;
+ //Returning the Output Variables as arguments to the Scilab environment
+ ReturnArguments(pvApiCtx);
+ return 0;
+
+ }
+/* ==================================================================== */
+}
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