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separation main et fonctions
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8 changed files with 26642 additions and 280 deletions
125
Code/facedetect.c
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125
Code/facedetect.c
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// Sample Application to demonstrate how Face detection can be done as a part of your source code.
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// Include header files
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#include "cv.h"
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#include "highgui.h"
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#include <stdio.h>
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#include <stdlib.h>
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#include <string.h>
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#include <assert.h>
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#include <math.h>
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#include <float.h>
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#include <limits.h>
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#include <time.h>
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#include <ctype.h>
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// Create a string that contains the exact cascade name
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const char* cascade_name =
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"C:/Program Files/OpenCV/data/haarcascades/haarcascade_frontalface_alt.xml";
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/* "haarcascade_profileface.xml";*/
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// Function prototype for detecting and drawing an object from an image
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void detect_and_draw( IplImage* image );
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// Main function, defines the entry point for the program.
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int main( int argc, char** argv )
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{
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//Ouverture flux camera
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CvCapture* capture = cvCaptureFromCAM( 0 );
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if( !capture ){
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printf("ERROR: capture is NULL \n" );
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exit(EXIT_FAILURE);
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}
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// Call the function to detect and draw the face positions
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detect_and_draw(img);
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// Wait for user input before quitting the program
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cvWaitKey();
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// Release the image
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cvReleaseImage(&img);
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// Destroy the window previously created with filename: "result"
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cvDestroyWindow("result");
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// return 0 to indicate successfull execution of the program
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return 0;
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}
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// Function to detect and draw any faces that is present in an image
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void detect_and_draw( IplImage* img )
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{
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// Create memory for calculations
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static CvMemStorage* storage = 0;
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// Create a new Haar classifier
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static CvHaarClassifierCascade* cascade = 0;
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int scale = 1;
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// Create a new image based on the input image
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IplImage* temp = cvCreateImage( cvSize(img->width/scale,img->height/scale), 8, 3 );
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// Create two points to represent the face locations
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CvPoint pt1, pt2;
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int i;
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// Load the [[HaarClassifierCascade]]
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cascade = (CvHaarClassifierCascade*)cvLoad( cascade_name, 0, 0, 0 );
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// Check whether the cascade has loaded successfully. Else report and error and quit
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if( !cascade )
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{
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fprintf( stderr, "ERROR: Could not load classifier cascade\n" );
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return;
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}
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// Allocate the memory storage
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storage = cvCreateMemStorage(0);
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// Create a new named window with title: result
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cvNamedWindow( "result", 1 );
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// Clear the memory storage which was used before
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cvClearMemStorage( storage );
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// Find whether the cascade is loaded, to find the faces. If yes, then:
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if( cascade )
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{
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// There can be more than one face in an image. So create a growable sequence of faces.
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// Detect the objects and store them in the sequence
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CvSeq* faces = cvHaarDetectObjects( img, cascade, storage,
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1.1, 2, CV_HAAR_DO_CANNY_PRUNING,
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cvSize(40, 40) );
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// Loop the number of faces found.
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for( i = 0; i < (faces ? faces->total : 0); i++ )
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{
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// Create a new rectangle for drawing the face
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CvRect* r = (CvRect*)cvGetSeqElem( faces, i );
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// Find the dimensions of the face,and scale it if necessary
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pt1.x = r->x*scale;
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pt2.x = (r->x+r->width)*scale;
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pt1.y = r->y*scale;
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pt2.y = (r->y+r->height)*scale;
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// Draw the rectangle in the input image
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cvRectangle( img, pt1, pt2, CV_RGB(255,0,0), 3, 8, 0 );
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}
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}
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// Show the image in the window named "result"
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cvShowImage( "result", img );
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// Release the temp image created.
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cvReleaseImage( &temp );
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}
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