本文整理汇总了C++中cvRect函数的典型用法代码示例。如果您正苦于以下问题：C++ cvRect函数的具体用法？C++ cvRect怎么用？C++ cvRect使用的例子？那么恭喜您, 这里精选的函数代码示例或许可以为您提供帮助。
在下文中一共展示了cvRect函数的20个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于我们的系统推荐出更棒的C++代码示例。
示例1: processPlateChars
plateInfo* processPlateChars( IplImage * orig_img )
{
//Create placeholder for gray image
IplImage * gray_img = cvCreateImage(cvGetSize(orig_img), IPL_DEPTH_8U, 1);
//Convert to image grayscale
cvCvtColor( orig_img, gray_img, CV_RGB2GRAY );
//Create placeholder for black and white image
IplImage * bw_img = cvCreateImage(cvGetSize(gray_img), IPL_DEPTH_8U, 1);
//Convert gray image to binary (black and white)
cvThreshold( gray_img, bw_img, 128, 255, CV_THRESH_BINARY | CV_THRESH_OTSU);
//Invert image
IplImage * rev_img = cvCreateImage(cvGetSize(bw_img), IPL_DEPTH_8U, 1);
cvNot( bw_img, rev_img );
//Save results
// cvSaveImage( "bw_img.jpg", bw_img, NULL );
// cvSaveImage( "rev_img.jpg", rev_img, NULL );
//Resize the reversed image: 400x200 (435x218??)
IplImage * resize_img = cvCreateImage(cvSize(400, 200), IPL_DEPTH_8U, 1);
cvResize( rev_img, resize_img, CV_INTER_LINEAR) ;
//Save results
// cvSaveImage( "resize_img.jpg", resize_img, NULL );
//Okay, now find the reversed (and resized) image's size
CvSize resize_size = cvGetSize( resize_img );
int w = resize_size.width;
int h = resize_size.height;
printf("Width: %d\nHieght: %d\n", w, h);
//Allrighty, now try to crop
//First, create new image in the right size
//Old data for below: cvSize( w, h-108 ) (w-30, h-108)
IplImage * resize_crop = cvCreateImage(cvSize(w-60, h-108), IPL_DEPTH_8U, 1);
//Old data for below: cvRect( 0, 54, w, h-108) (15, 54 w-30, h-108)
cvSetImageROI( resize_img, cvRect(30, 54, w-60, h-108) );//15
cvCopy( resize_img, resize_crop, NULL );
//Save this result
// cvSaveImage( "resize_crop.jpg", resize_crop, NULL );
CvSize resizeCrop_size = cvGetSize( resize_crop );
int w2 = resizeCrop_size.width;
int h2 = resizeCrop_size.height;
printf("\nWidth: %d\nHieght: %d\n", w2, h2);
//Now get the characters (using stuff from commented section below
struct plateInfo * plate_info = malloc( sizeof(plateInfo) * 8 );
CvSeq * cvSeq = 0;
CvMemStorage * storage = cvCreateMemStorage(0);
int numContours;
int i;
//Poor man's debugger...
char * plate_buffer[] = {"plate0.jpg", "plate1.jpg", "plate2.jpg",
"plate3.jpg", "plate4.jpg","plate5.jpg", "plate6.jpg",
"plate7.jpg"};
//This should be 8
numContours = cvFindContours( resize_crop, storage, &cvSeq,
sizeof(CvContour), CV_RETR_EXTERNAL, CV_CHAIN_APPROX_SIMPLE, cvPoint(0,0) );
printf("\nnumContours plate: %d\n", numContours);
cvDrawContours( resize_crop, cvSeq, cvScalarAll(255), cvScalarAll(0),
1, -1, 8, cvPoint(0,0) );
for( i = 0; i < 8; i++)
{
//Get bounding rect
CvRect char_rect = cvBoundingRect( cvSeq, 0 );
//Create and set individual images
plate_info[i].charImage = NULL;
plate_info[i].charImage = cvCreateImage(cvSize(char_rect.width, char_rect.height), IPL_DEPTH_8U, 1);
//****Moved to 'fix' below - contour area and perimeter*****
//plate_info[i].contourArea = cvContourArea( cvSeq, CV_WHOLE_SEQ, 0 );
//plate_info[i].arcLength = cvArcLength( cvSeq, CV_WHOLE_SEQ, -1 );
//Set ROI for copying and copy
cvSetImageROI( resize_crop, char_rect );
cvCopy( resize_crop, plate_info[i].charImage, NULL );
//For the poor man's debugger
//cvSaveImage( plate_buffer[i], plate_chars[i], NULL );
//cvSaveImage( plate_buffer[i], plate_info[i].charImage, NULL );
cvSeq = cvSeq->h_next;
//.........这里部分代码省略.........
开发者ID:12019，项目名称:LicensePlateReaders，代码行数:101，代码来源:fp.c
示例2: c
void CDataOut::R_Out()
{
int ii=0;
RFile<<"library(rgl) "<<endl;
RFile<<"rgl.clear(\"all\")"<<endl;
RFile<<"rgl.bg(sphere = TRUE, color = c(\"black\", \"green\"), lit = FALSE, size=2, alpha=0.2, back = \"lines\")"<<endl;
RFile<<"rgl.light()"<<endl;
RFile<<"rgl.bbox()"<<endl;
CvMat *temp2,*temp3;
temp2=cvCreateMat(3,6,CV_32FC1);
temp3=cvCreateMat(3,3,CV_32FC1);
CvMat* m = cvCreateMat(3,1,CV_32FC1);
CvMat *temp,*jtemp;
temp=cvCreateMatHeader(6,6,CV_32FC1);
jtemp=cvCreateMat(3,6,CV_32FC1);
for ( list<CElempunto*>::iterator It=pEstimator->pMap->bbdd.begin();
It != pEstimator->pMap->bbdd.end(); It++ )
{
if((*It)->state>2)
{
float s_th=sin((*It)->theta);
float c_th=cos((*It)->theta);
float s_ph=sin((*It)->phi);
float c_ph=cos((*It)->phi);
cvmSet(m,0,0,sin((*It)->phi));
cvmSet(m,1,0,-sin((*It)->theta));
cvmSet(m,2,0,cos((*It)->phi));
cvNormalize( m, m);
float xreal=(*It)->wx +cvmGet(m,0,0)/(*It)->rho;
float yreal=(*It)->wy +cvmGet(m,1,0)/(*It)->rho;
float zreal=(*It)->wz +cvmGet(m,2,0)/(*It)->rho;
cvZero(jtemp);
cvmSet(jtemp,0,0,1);
cvmSet(jtemp,1,1,1);
cvmSet(jtemp,2,2,1);
cvmSet(jtemp,0,3,(-s_th*s_ph)/(*It)->rho);
cvmSet(jtemp,1,3,(-c_th )/(*It)->rho);
cvmSet(jtemp,2,3,(-s_th*c_ph)/(*It)->rho);
cvmSet(jtemp,0,4,(c_th*c_ph)/(*It)->rho);
cvmSet(jtemp,1,4,(0 )/(*It)->rho);
cvmSet(jtemp,2,4,(-c_th*s_ph)/(*It)->rho);
cvmSet(jtemp,0,5,(-c_th*s_ph)/((*It)->rho*(*It)->rho));
cvmSet(jtemp,1,5,(s_th )/((*It)->rho*(*It)->rho));
cvmSet(jtemp,2,5,(-c_th*c_ph)/((*It)->rho*(*It)->rho));
if (12+ii*6< pEstimator->pCovMat->width && 12+ii*6< pEstimator->pCovMat->height)
{
cvGetSubRect( pEstimator->pCovMat,temp,cvRect(12+ii*6,12+ii*6,6,6) );
cvMatMul(jtemp,temp,temp2);
cvGEMM( temp2,jtemp,1,NULL,0,temp3,CV_GEMM_B_T );
RFile<<"p"<<ii<< " <- matrix(c(" ;
for (int i=0; i<2 ; i++)
for (int j=0; j<3;j++)
{
RFile<<cvmGet(temp3,i,j)<<",";
}
RFile<<cvmGet(temp3,2,0)<<",";
RFile<<cvmGet(temp3,2,1)<<",";
RFile<<cvmGet(temp3,2,2);
RFile<<"),3,3)"<<endl;
RFile<<"pos <- c("<<xreal<<", ";
RFile<<yreal<<", ";
RFile<<zreal<<")"<<endl;
RFile<<"try(plot3d( ellipse3d(p"<<ii<<",centre=";
RFile<<"pos), col=\"blue\", alpha=0.5, add = TRUE) )"<<endl;
}
}
ii++;
}
RFile<<"p"<<ii<< " <- matrix(c(" ;
for (int i=0; i<2 ; i++)
for (int j=0; j<3;j++)
{
RFile<<cvmGet(pEstimator->pCovMat,2*i,2*j)<<",";
}
RFile<<cvmGet(pEstimator->pCovMat,4,0)<<",";
RFile<<cvmGet(pEstimator->pCovMat,4,2)<<",";
RFile<<cvmGet(pEstimator->pCovMat,4,4);
RFile<<"),3,3)"<<endl;
RFile<<"pos <- c("<< cvmGet(pEstimator->pDataCam->translation,0,0)<<", ";
RFile<< cvmGet(pEstimator->pDataCam->translation,1,0)<<", ";
RFile<< cvmGet(pEstimator->pDataCam->translation,2,0)<<") "<<endl;
RFile<<"plot3d( ellipse3d(p"<<ii<<",centre=";
RFile<<"pos), col=\"red\", alpha=0.5, add = TRUE) "<<endl;
RFile<<"rgl.viewpoint(45,30)"<<endl;
RFile<<"rgl.snapshot(\"c:\\\\out"<<iter<<".png\")"<<endl;
//RFile.close();
cvReleaseMat(&temp);
cvReleaseMat(&temp2);
cvReleaseMat(&temp3);
//.........这里部分代码省略.........
开发者ID:dirmich，项目名称:3dslam，代码行数:101，代码来源:dataout.cpp
示例3: main
int main(int argc, char* argv[]){
IplImage *frame, *frameL, *frameR;
//load image
//images are loaded by openCV with color channels in this order: BGR
frame = cvLoadImage(argv[1], 1);
//Simple error handling
if(!frame){
printf("Erro ao abrir a imagem.");
exit(-1);
}
//Verify if image have width divisible by 2
if(frame->width % 2 != 0){
printf("Imagem possui largura não divisível por 2. Favor cortar!");
exit(-1);
}
//get width and height from original image
int width = frame->width;
int height = frame->height;
//new images will have half width of original image
CvSize size = cvSize( width/2, height);
//copy image properties
frameL = cvCreateImage(size, frame->depth, frame->nChannels);
frameR = cvCreateImage(size, frame->depth, frame->nChannels);
cvZero(frameL);
cvZero(frameR);
//set ROI to cut the image on the left (half of the original)
cvSetImageROI(frame, cvRect(0,0, width/2, height));
//copy image portion
cvCopy(frame, frameL);
//reset ROI
cvResetImageROI(frame);
//set ROI to cut the image on the right (second half of the original)
cvSetImageROI(frame, cvRect(width/2, 0, width/2, height));
//copy image portion
cvCopy(frame, frameR);
//reset ROI
cvResetImageROI(frame);
//save images
cvSaveImage("frameLeft.bmp", frameL);
cvSaveImage("frameRight.bmp", frameR);
//create anaglyph
createAnaglyph(frameL, frameR);
//free pointers
cvReleaseImage(&frame);
cvReleaseImage(&frameL);
cvReleaseImage(&frameR);
printf("\n\nImagens separadas com sucesso!\n\n");
return 0;
}
开发者ID:andrecurvello，项目名称:tests-zingarelli，代码行数:67，代码来源:SBS-to-anaglyph-image.cpp
示例4: process_image_common
static void process_image_common(IplImage *frame)
{
CvFont font;
cvInitFont(&font, CV_FONT_VECTOR0, 0.25f, 0.25f);
CvSize video_size;
#if defined(USE_POSIX_SHARED_MEMORY)
video_size.height = *shrd_ptr_height;
video_size.width = *shrd_ptr_width;
#else
// XXX These parameters should be set ROS parameters
video_size.height = frame->height;
video_size.width = frame->width;
#endif
CvSize frame_size = cvSize(video_size.width, video_size.height/2);
IplImage *temp_frame = cvCreateImage(frame_size, IPL_DEPTH_8U, 3);
IplImage *gray = cvCreateImage(frame_size, IPL_DEPTH_8U, 1);
IplImage *edges = cvCreateImage(frame_size, IPL_DEPTH_8U, 1);
IplImage *half_frame = cvCreateImage(cvSize(video_size.width/2, video_size.height/2), IPL_DEPTH_8U, 3);
CvMemStorage *houghStorage = cvCreateMemStorage(0);
cvPyrDown(frame, half_frame, CV_GAUSSIAN_5x5); // Reduce the image by 2
/* we're intersted only in road below horizont - so crop top image portion off */
crop(frame, temp_frame, cvRect(0, frame_size.height, frame_size.width, frame_size.height));
cvCvtColor(temp_frame, gray, CV_BGR2GRAY); // contert to grayscale
/* Perform a Gaussian blur & detect edges */
// smoothing image more strong than original program
cvSmooth(gray, gray, CV_GAUSSIAN, 15, 15);
cvCanny(gray, edges, CANNY_MIN_TRESHOLD, CANNY_MAX_TRESHOLD);
/* do Hough transform to find lanes */
double rho = 1;
double theta = CV_PI/180;
CvSeq *lines = cvHoughLines2(edges, houghStorage, CV_HOUGH_PROBABILISTIC,
rho, theta, HOUGH_TRESHOLD, HOUGH_MIN_LINE_LENGTH, HOUGH_MAX_LINE_GAP);
processLanes(lines, edges, temp_frame, frame);
#ifdef SHOW_DETAIL
/* show middle line */
cvLine(temp_frame, cvPoint(frame_size.width/2, 0),
cvPoint(frame_size.width/2, frame_size.height), CV_RGB(255, 255, 0), 1);
// cvShowImage("Gray", gray);
// cvShowImage("Edges", edges);
// cvShowImage("Color", temp_frame);
// cvShowImage("temp_frame", temp_frame);
// cvShowImage("frame", frame);
#endif
#if defined(USE_POSIX_SHARED_MEMORY)
setImage_toSHM(frame);
#endif
#ifdef SHOW_DETAIL
// cvMoveWindow("Gray", 0, 0);
// cvMoveWindow("Edges", 0, frame_size.height+25);
// cvMoveWindow("Color", 0, 2*(frame_size.height+25));
#endif
cvReleaseMemStorage(&houghStorage);
cvReleaseImage(&gray);
cvReleaseImage(&edges);
cvReleaseImage(&temp_frame);
cvReleaseImage(&half_frame);
}
开发者ID:Keerecles，项目名称:Autoware，代码行数:69，代码来源:lane_detector.cpp
示例5: main
int main(int argc, char **argv)
{
// Initialize ROS
ros::init(argc, argv, "ic2020_vodom");
ros::NodeHandle n;
ros::Subscriber surf_sub = n.subscribe("/surf/keyframes", 5, optflowCallback);
ros::Publisher vodom_pub = n.advertise<ic2020_vodom::keyframe>("/vodom/keyframes", 100);
// Wait for video streams to be up
BlockWhileWaitingForVideo();
// Create display images
view_im = cvCreateImage( cvSize(2*newArrival->width, newArrival->height), 8, IPL_PXL_BYTES );
#ifdef VISUALIZE
cvNamedWindow("VisualOdom", CV_WINDOW_AUTOSIZE);
#endif
// Main loop
printf("Entering main loop\n");
while (ros::ok())
{
char c = cvWaitKey(5);
if (c == 'Q' || c == 'q')
break;
// Get Images
ros::spinOnce();
// Check if new keyframe is available
if (newArrival == NULL) { continue; }
printf ("\33[2J");
// Rotate in new data
RotateNewArrivalIn();
/**********************************
Check we have two keyframes
***********************************/
if (kA == 0 || kB == 0) { continue; }
printf("Keyframe A: %i\n", kA->keyframe_num);
printf("Keyframe B: %i\n", kB->keyframe_num);
// COPY IMAGE DATA TO DOUBLE SIZE IMAGE
cvSetImageROI( view_im, cvRect(0, 0, kB->im->width, kB->im->height));
cvCopy( kB->im, view_im );
cvSetImageROI( view_im, cvRect(kB->im->width, 0, kA->im->width, kA->im->height));
cvCopy( kA->im, view_im );
cvResetImageROI( view_im );
// DRAW RED CIRCLES ON FEATURES
for (unsigned int i = 0; i < kB->features.size(); i++) {
cvCircle(view_im, cvPoint(cvRound(kB->features[i].point2D[0]),
cvRound(kB->features[i].point2D[1])), 3.0f, colors[0], 2, 8);
}
for (unsigned int i = 0; i < kA->features.size(); i++) {
cvCircle(view_im, cvPoint(cvRound(kA->features[i].point2D[0]) + kB->im->width,
cvRound(kA->features[i].point2D[1])), 3.0f, colors[0], 2, 8);
}
for (unsigned int i = 0; i < kB->numCorn1; i++) {
cvCircle(view_im, cvPoint(cvRound(kB->corn1[i].point2D[0]),
cvRound(kB->corn1[i].point2D[1])), 3.0f, colors[1], 1, 8);
}
for (unsigned int i = 0; i < kA->numCorn2; i++) {
cvCircle(view_im, cvPoint(cvRound(kA->corn2[i].point2D[0]) + kB->im->width,
cvRound(kA->corn2[i].point2D[1])), 3.0f, colors[1], 1, 8);
}
/**********************************
Initial RANSAC w SURF and STCorn
***********************************/
// GET SURF PAIRS
tt = (double)cvGetTickCount();
std::vector<unsigned int> pairs;
SURFHelper::findSURFPairs(&kA->descBuffer, &kB->descBuffer, pairs);
tt = (double)cvGetTickCount() - tt;
//printf( "SURF Match Time = %gms\n", tt/(cvGetTickFrequency()*1000.));
printf( "Found %i SURF Matches \n", pairs.size()/2);
// RANSAC
std::vector<unsigned int> filtered_surf_pairs;
std::vector<unsigned int> filtered_corn_pairs;
tt = (double)cvGetTickCount();
if (kA->numCorn2 == kB->numCorn1) {
if (!VisualOdometry::RANSAC6DFast(&kA->features, &kB->features, &pairs, &filtered_surf_pairs,
&kA->corn2[0], &kB->corn1[0], &kB->status[0], kB->numCorn1, &filtered_corn_pairs,
kB->im->width, kB->im->height, 10, 10, 1))
//if (!VisualOdometry::RANSAC6D(&kA->features, &kB->features, &pairs, &filtered_surf_pairs,
// &kA->corn2[0], &kB->corn1[0], &kB->status[0], kB->numCorn1, &filtered_corn_pairs))
//if (!VisualOdometry::RANSAC6DReproj(&kA->features, &kB->features, &pairs, &filtered_surf_pairs))
{
printf("RANSAC MATCHES FEATURE # AREN'T EQUAL OR LESS THAN 7 FEATURES \n");
continue;
}
} else {
printf("WTF KEYFRAME A's FORWARD ST FEATURES != KEYFRAME B's BACK ST FEATURES \n");
//.........这里部分代码省略.........
开发者ID:mlab-upenn，项目名称:HAWK-basestation，代码行数:101，代码来源:ic2020_vodom.cpp
示例6: getFeaturePyramid
/*
// Getting feature pyramid
//
// API
// int getFeaturePyramid(IplImage * image, const filterObject **all_F,
const int n_f,
const int lambda, const int k,
const int startX, const int startY,
const int W, const int H, featurePyramid **maps);
// INPUT
// image - image
// lambda - resize scale
// k - size of cells
// startX - X coordinate of the image rectangle to search
// startY - Y coordinate of the image rectangle to search
// W - width of the image rectangle to search
// H - height of the image rectangle to search
// OUTPUT
// maps - feature maps for all levels
// RESULT
// Error status
*/
int getFeaturePyramid(IplImage * image,
const int lambda, const int k,
const int startX, const int startY,
const int W, const int H, CvLSVMFeaturePyramid **maps)
{
IplImage *img2, *imgTmp, *imgResize;
float step, tmp;
int cntStep;
int maxcall;
int i;
int err;
CvLSVMFeatureMap *map;
//geting subimage
cvSetImageROI(image, cvRect(startX, startY, W, H));
img2 = cvCreateImage(cvGetSize(image), image->depth, image->nChannels);
cvCopy(image, img2, NULL);
cvResetImageROI(image);
if(img2->depth != IPL_DEPTH_32F)
{
imgResize = cvCreateImage(cvSize(img2->width , img2->height) , IPL_DEPTH_32F , 3);
cvConvert(img2, imgResize);
}
else
{
imgResize = img2;
}
step = powf(2.0f, 1.0f/ ((float)lambda));
maxcall = W/k;
if( maxcall > H/k )
{
maxcall = H/k;
}
cntStep = (int)(logf((float)maxcall/(5.0f))/logf(step)) + 1;
//printf("Count step: %f %d\n", step, cntStep);
allocFeaturePyramidObject(maps, lambda, cntStep + lambda);
for(i = 0; i < lambda; i++)
{
tmp = 1.0f / powf(step, (float)i);
imgTmp = resize_opencv (imgResize, tmp);
//imgTmp = resize_article_dp(img2, tmp, 4);
err = getFeatureMaps_dp(imgTmp, 4, &map);
err = normalizationAndTruncationFeatureMaps(map, 0.2f);
err = PCAFeatureMaps(map);
(*maps)->pyramid[i] = map;
//printf("%d, %d\n", map->sizeY, map->sizeX);
cvReleaseImage(&imgTmp);
}
/**********************************one**************/
for(i = 0; i < cntStep; i++)
{
tmp = 1.0f / powf(step, (float)i);
imgTmp = resize_opencv (imgResize, tmp);
//imgTmp = resize_article_dp(imgResize, tmp, 8);
err = getFeatureMaps_dp(imgTmp, 8, &map);
err = normalizationAndTruncationFeatureMaps(map, 0.2f);
err = PCAFeatureMaps(map);
(*maps)->pyramid[i + lambda] = map;
//printf("%d, %d\n", map->sizeY, map->sizeX);
cvReleaseImage(&imgTmp);
}/*for(i = 0; i < cntStep; i++)*/
if(img2->depth != IPL_DEPTH_32F)
{
cvReleaseImage(&imgResize);
}
cvReleaseImage(&img2);
return LATENT_SVM_OK;
}
开发者ID:SCS-B3C，项目名称:OpenCV2-2，代码行数:97，代码来源:featurepyramid.cpp
示例7: operateImage
//.........这里部分代码省略.........
cvCvtColor(image1, tmp3d, CV_BGR2HSV);
cvSplit(tmp3d, NULL, tmp1d, NULL, NULL);
break;
case 3: // Brightness mode
COND_PRINTF("Brightness");
cvCvtColor(image1, tmp3d, CV_BGR2HSV);
cvSplit(tmp3d, NULL, NULL, tmp1d, NULL);
break;
case 4: //
COND_PRINTF("Color");
img_full_channel = 1;
break;
}
//filterByVolume(tmp1d, tmp1d, value);
if (img_full_channel) { // Image has 3 channel
#if 0
cvRunningAvg(image1, backgroundAcc, (double)userdata->accValue / 1024, NULL);
cvConvertScale(backgroundAcc, background, 1, 0);
cvNamedWindow(CONTROL_WINDOW "41", 0);
cvResizeWindow(CONTROL_WINDOW "41", 640 / 2, 480 / 2);
cvShowImage(CONTROL_WINDOW "41", background);
cvCreateTrackbar("accValue", CONTROL_WINDOW "41", &(userdata->accValue), 1024, trackbarCallback);
#endif
filterByHSV(image1, minScalar, maxScalar, tmp3d);
if (history_mode) {
cvCopy(image1, tmp3d, NULL);
cvCopy(image1, tmp3d2, NULL);
//cvCvtColor(image1, tmp3d, CV_BGR2HSV);
//CvRect rect = cvRect(userdata->size.width * 3 / 4 - 40, userdata->size.height / 2 - 40, 80, 80);
//CvRect rect = cvRect(userdata->size.width * 1 / 4 - 40, userdata->size.height / 2 - 40, userdata->size.width * 3 / 4, 80);
CvRect rect = cvRect(userdata->square.origin.x, userdata->square.origin.y, userdata->square.size.width, userdata->square.size.height);
cvSetImageROI(tmp3d, rect);
GraficarHistograma(tmp3d, tmp3d2);
cvResetImageROI(tmp3d);
cvCopy(tmp3d2, tmp3d, NULL);
}
else {
cvCopy(image1, tmp3d, NULL);
}
}
else { // Image has 1 channel
cvSmooth(tmp1d, tmp1d, CV_GAUSSIAN, 5, 0, 0, 0);
if (otsu_mode) { // Apply Otsu's method
COND_PRINTF(", Otsu");
cvThreshold(tmp1d, tmp1d, 0, 255, CV_THRESH_OTSU);
}
if (smooth_mode) { // Apply Gaussian smoothing
COND_PRINTF(", Gauss");
cvSmooth(tmp1d, tmp1d, CV_GAUSSIAN, 5, 0, 0, 0);
}
if (close_mode) {
COND_PRINTF(", closE");
int n = kernelSize;
cvErode(tmp1d, tmp1d, NULL, n);
cvDilate(tmp1d, tmp1d, NULL, n);
}
if (canny_mode) { // Apply Canny's method
开发者ID:changeyourdestiny，项目名称:DIP，代码行数:67，代码来源:operateImage.cpp
示例8: FindOneWayDescriptor
void FindOneWayDescriptor(cv::flann::Index* m_pca_descriptors_tree, CvSize patch_size, int m_pca_dim_low, int m_pose_count, IplImage* patch, int& desc_idx, int& pose_idx, float& distance,
CvMat* avg, CvMat* eigenvectors)
{
desc_idx = -1;
pose_idx = -1;
distance = 1e10;
//--------
//PCA_coeffs precalculating
CvMat* pca_coeffs = cvCreateMat(1, m_pca_dim_low, CV_32FC1);
int patch_width = patch_size.width;
int patch_height = patch_size.height;
//if (avg)
//{
CvRect _roi = cvGetImageROI((IplImage*)patch);
IplImage* test_img = cvCreateImage(cvSize(patch_width,patch_height), IPL_DEPTH_8U, 1);
if(_roi.width != patch_width|| _roi.height != patch_height)
{
cvResize(patch, test_img);
_roi = cvGetImageROI(test_img);
}
else
{
cvCopy(patch,test_img);
}
IplImage* patch_32f = cvCreateImage(cvSize(_roi.width, _roi.height), IPL_DEPTH_32F, 1);
float sum = cvSum(test_img).val[0];
cvConvertScale(test_img, patch_32f, 1.0f/sum);
//ProjectPCASample(patch_32f, avg, eigenvectors, pca_coeffs);
//Projecting PCA
CvMat* patch_mat = ConvertImageToMatrix(patch_32f);
CvMat* temp = cvCreateMat(1, eigenvectors->cols, CV_32FC1);
cvProjectPCA(patch_mat, avg, eigenvectors, temp);
CvMat temp1;
cvGetSubRect(temp, &temp1, cvRect(0, 0, pca_coeffs->cols, 1));
cvCopy(&temp1, pca_coeffs);
cvReleaseMat(&temp);
cvReleaseMat(&patch_mat);
//End of projecting
cvReleaseImage(&patch_32f);
cvReleaseImage(&test_img);
// }
//--------
//float* target = new float[m_pca_dim_low];
//::flann::KNNResultSet res(1,pca_coeffs->data.fl,m_pca_dim_low);
//::flann::SearchParams params;
//params.checks = -1;
//int maxDepth = 1000000;
//int neighbors_count = 1;
//int* neighborsIdx = new int[neighbors_count];
//float* distances = new float[neighbors_count];
//if (m_pca_descriptors_tree->findNearest(pca_coeffs->data.fl,neighbors_count,maxDepth,neighborsIdx,0,distances) > 0)
//{
// desc_idx = neighborsIdx[0] / m_pose_count;
// pose_idx = neighborsIdx[0] % m_pose_count;
// distance = distances[0];
//}
//delete[] neighborsIdx;
//delete[] distances;
cv::Mat m_object(1, m_pca_dim_low, CV_32F);
cv::Mat m_indices(1, 1, CV_32S);
cv::Mat m_dists(1, 1, CV_32F);
float* object_ptr = m_object.ptr<float>(0);
for (int i=0;i<m_pca_dim_low;i++)
{
object_ptr[i] = pca_coeffs->data.fl[i];
}
m_pca_descriptors_tree->knnSearch(m_object, m_indices, m_dists, 1, cv::flann::SearchParams(-1) );
desc_idx = ((int*)(m_indices.ptr<int>(0)))[0] / m_pose_count;
pose_idx = ((int*)(m_indices.ptr<int>(0)))[0] % m_pose_count;
distance = ((float*)(m_dists.ptr<float>(0)))[0];
// delete[] target;
// for(int i = 0; i < desc_count; i++)
// {
// int _pose_idx = -1;
// float _distance = 0;
//
//#if 0
// descriptors[i].EstimatePose(patch, _pose_idx, _distance);
//#else
// if (!avg)
// {
// descriptors[i].EstimatePosePCA(patch, _pose_idx, _distance, avg, eigenvectors);
// }
// else
// {
// descriptors[i].EstimatePosePCA(pca_coeffs, _pose_idx, _distance, avg, eigenvectors);
// }
//.........这里部分代码省略.........
开发者ID:PR2，项目名称:pr2_plugs，代码行数:101，代码来源:one_way_descriptor.cpp
示例9: get_regions
/**
* @brief Permite al usuario interactivamente seleccionar un objeto
* @param regions Guarda los rectángulos que definen a cada objeto
* @param MAX_OBJECTS Número máximo permitido de objetos a rastrear
* @param argv Uso el nombre del video para poder leer el correspondiente fichero de regiones por defecto
* @return El número de objetos seleccionados por el usuario (<= MAX_OBJECTS)
*/
int get_regions(CvRect **regions, int MAX_OBJECTS, char *argv ) {
FILE *fich;
char name[50], *p1, *p2;
params p;
CvRect* r;
int x1, y1, x2, y2, w, h;
// Si hay que leer desde fichero las regiones...
if(MAX_OBJECTS > 0) {
p.n = MAX_OBJECTS;
strcpy( name, REGION_IN);
p1 = strrchr( &argv[1], '/' );
p2 = strrchr( &argv[1], '.' );
strncat( name, (++p1), p2-p1 );
strcat( name, "txt" );
fich = fopen( name, "r" );
if( ! fich ) {
strcpy( name, REGION_IN);
p1 = strrchr( &argv[1], '/' );
p2 = strrchr( &argv[1], '.' );
strncat( name, (++p1), (++p2)-p1 );
strcat( name, "txt" );
fich = fopen( name, "r" );
if( ! fich ) {
printf("Error leyendo las regiones iniciales\n");
exit (-1);
}
}
p.loc1 = std::vector<CvPoint>(MAX_OBJECTS);
p.loc2 = std::vector<CvPoint>(MAX_OBJECTS);
for( int i = 0; i < MAX_OBJECTS; ++i ) {
int leidos = fscanf(fich, "%d", &p.loc1[i].x);
leidos = fscanf(fich, "%d", &p.loc1[i].y);
leidos = fscanf(fich, "%d", &p.loc2[i].x);
leidos = fscanf(fich, "%d", &p.loc2[i].y);
}
fclose( fich );
}
// Si hay que seleccionarlas con el ratón...
else {
fprintf( stderr, "Selecciona la región a rastrear\n" );
p.n = 0;
cvNamedWindow( win_name, CV_WINDOW_AUTOSIZE );
cvShowImage( win_name, first_frame );
cvSetMouseCallback( win_name, &mouse, &p );
cvWaitKey( 0 );
cvDestroyWindow( win_name );
if( p.n == 0 )
return 0;
}
// Reservo espacio para la lista de regiones
r = (CvRect*) malloc( p.n * sizeof( CvRect ) );
for( int i = 0; i < p.n; ++i ) {
x1 = MIN( p.loc1[i].x, p.loc2[i].x );
x2 = MAX( p.loc1[i].x, p.loc2[i].x );
y1 = MIN( p.loc1[i].y, p.loc2[i].y );
y2 = MAX( p.loc1[i].y, p.loc2[i].y );
w = x2 - x1;
h = y2 - y1;
//printf("%d %d %d %d\n", x1, y1, x2, y2);
// Me aseguro que la altura y anchura es par
w = ( w % 2 )? w : w+1;
h = ( h % 2 )? h : h+1;
r[i] = cvRect( x1, y1, w, h );
}
*regions = r;
return p.n;
}
开发者ID:rotty11，项目名称:Tfm，代码行数:82，代码来源:trackerStr1.cpp
示例10: main
int main(int argc, char * argv[])
{
if(argc < 2)
{
showUsage();
}
bool inv = false;
for(int i=1; i<argc-1; ++i)
{
if(strcmp(argv[i], "-inv") == 0)
{
inv = true;
printf(" Inversing option activated...\n");
continue;
}
showUsage();
printf(" Not recognized option: \"%s\"\n", argv[i]);
}
std::string path = argv[argc-1];
printf(" Path = %s\n", path.c_str());
UDirectory dir(path, "jpg bmp png tiff jpeg");
if(!dir.isValid())
{
printf("Path invalid!\n");
exit(-1);
}
std::string targetDirectory = path+"_joined";
UDirectory::makeDir(targetDirectory);
printf(" Creating directory \"%s\"\n", targetDirectory.c_str());
std::string fileNameA = dir.getNextFilePath();
std::string fileNameB = dir.getNextFilePath();
int i=1;
while(!fileNameA.empty() && !fileNameB.empty())
{
if(inv)
{
std::string tmp = fileNameA;
fileNameA = fileNameB;
fileNameB = tmp;
}
std::string ext = UFile::getExtension(fileNameA);
std::string targetFilePath = targetDirectory+UDirectory::separator()+uNumber2Str(i++)+"."+ext;
IplImage * imageA = cvLoadImage(fileNameA.c_str(), CV_LOAD_IMAGE_COLOR);
IplImage * imageB = cvLoadImage(fileNameB.c_str(), CV_LOAD_IMAGE_COLOR);
fileNameA.clear();
fileNameB.clear();
if(imageA && imageB)
{
CvSize sizeA = cvGetSize(imageA);
CvSize sizeB = cvGetSize(imageB);
CvSize targetSize = {0};
targetSize.width = sizeA.width + sizeB.width;
targetSize.height = sizeA.height > sizeB.height ? sizeA.height : sizeB.height;
IplImage* targetImage = cvCreateImage(targetSize, imageA->depth, imageA->nChannels);
if(targetImage)
{
cvSetImageROI( targetImage, cvRect( 0, 0, sizeA.width, sizeA.height ) );
cvCopy( imageA, targetImage );
cvSetImageROI( targetImage, cvRect( sizeA.width, 0, sizeB.width, sizeB.height ) );
cvCopy( imageB, targetImage );
cvResetImageROI( targetImage );
if(!cvSaveImage(targetFilePath.c_str(), targetImage))
{
printf("Error : saving to \"%s\" goes wrong...\n", targetFilePath.c_str());
}
else
{
printf("Saved \"%s\" \n", targetFilePath.c_str());
}
cvReleaseImage(&targetImage);
fileNameA = dir.getNextFilePath();
fileNameB = dir.getNextFilePath();
}
else
{
printf("Error : can't allocated the target image with size (%d,%d)\n", targetSize.width, targetSize.height);
}
}
else
{
printf("Error: loading images failed!\n");
}
if(imageA)
{
//.........这里部分代码省略.........
开发者ID:FNicolai，项目名称:rtabmap，代码行数:101，代码来源:main.cpp
示例11: CVAPI
{
CvSize size;
int t;
uchar cbBounds[3];
uchar modMin[3];
uchar modMax[3];
CvBGCodeBookElem** cbmap;
CvMemStorage* storage;
CvBGCodeBookElem* freeList;
} CvBGCodeBookModel;
CVAPI(CvBGCodeBookModel*) cvCreateBGCodeBookModel();
CVAPI(void) cvReleaseBGCodeBookModel( CvBGCodeBookModel** model );
CVAPI(void) cvBGCodeBookUpdate( CvBGCodeBookModel* model, const CvArr* image,
CvRect roi CV_DEFAULT(cvRect(0,0,0,0)),
const CvArr* mask CV_DEFAULT(0) );
CVAPI(int) cvBGCodeBookDiff( const CvBGCodeBookModel* model, const CvArr* image,
CvArr* fgmask, CvRect roi CV_DEFAULT(cvRect(0,0,0,0)) );
CVAPI(void) cvBGCodeBookClearStale( CvBGCodeBookModel* model, int staleThresh,
CvRect roi CV_DEFAULT(cvRect(0,0,0,0)),
const CvArr* mask CV_DEFAULT(0) );
CVAPI(CvSeq*) cvSegmentFGMask( CvArr *fgmask, int poly1Hull0 CV_DEFAULT(1),
float perimScale CV_DEFAULT(4.f),
CvMemStorage* storage CV_DEFAULT(0),
CvPoint offset CV_DEFAULT(cvPoint(0,0)));
#ifdef __cplusplus
开发者ID:RavishankarDuMCA10，项目名称:cubgs，代码行数:31，代码来源:background_segm.hpp
示例12: cvFindBlobsByCCClasters
void cvFindBlobsByCCClasters(IplImage* pFG, CvBlobSeq* pBlobs, CvMemStorage* storage)
{ /* Create contours: */
IplImage* pIB = NULL;
CvSeq* cnt = NULL;
CvSeq* cnt_list = cvCreateSeq(0,sizeof(CvSeq),sizeof(CvSeq*), storage );
CvSeq* clasters = NULL;
int claster_cur, claster_num;
pIB = cvCloneImage(pFG);
cvThreshold(pIB,pIB,128,255,CV_THRESH_BINARY);
cvFindContours(pIB,storage, &cnt, sizeof(CvContour), CV_RETR_EXTERNAL);
cvReleaseImage(&pIB);
/* Create cnt_list. */
/* Process each contour: */
for(; cnt; cnt=cnt->h_next)
{
cvSeqPush( cnt_list, &cnt);
}
claster_num = cvSeqPartition( cnt_list, storage, &clasters, CompareContour, NULL );
for(claster_cur=0; claster_cur<claster_num; ++claster_cur)
{
int cnt_cur;
CvBlob NewBlob;
double M00,X,Y,XX,YY; /* image moments */
CvMoments m;
CvRect rect_res = cvRect(-1,-1,-1,-1);
CvMat mat;
for(cnt_cur=0; cnt_cur<clasters->total; ++cnt_cur)
{
CvRect rect;
CvSeq* cnt;
int k = *(int*)cvGetSeqElem( clasters, cnt_cur );
if(k!=claster_cur) continue;
cnt = *(CvSeq**)cvGetSeqElem( cnt_list, cnt_cur );
rect = ((CvContour*)cnt)->rect;
if(rect_res.height<0)
{
rect_res = rect;
}
else
{ /* Unite rects: */
int x0,x1,y0,y1;
x0 = MIN(rect_res.x,rect.x);
y0 = MIN(rect_res.y,rect.y);
x1 = MAX(rect_res.x+rect_res.width,rect.x+rect.width);
y1 = MAX(rect_res.y+rect_res.height,rect.y+rect.height);
rect_res.x = x0;
rect_res.y = y0;
rect_res.width = x1-x0;
rect_res.height = y1-y0;
}
}
if(rect_res.height < 1 || rect_res.width < 1)
{
X = 0;
Y = 0;
XX = 0;
YY = 0;
}
else
{
cvMoments( cvGetSubRect(pFG,&mat,rect_res), &m, 0 );
M00 = cvGetSpatialMoment( &m, 0, 0 );
if(M00 <= 0 ) continue;
X = cvGetSpatialMoment( &m, 1, 0 )/M00;
Y = cvGetSpatialMoment( &m, 0, 1 )/M00;
XX = (cvGetSpatialMoment( &m, 2, 0 )/M00) - X*X;
YY = (cvGetSpatialMoment( &m, 0, 2 )/M00) - Y*Y;
}
NewBlob = cvBlob(rect_res.x+(float)X,rect_res.y+(float)Y,(float)(4*sqrt(XX)),(float)(4*sqrt(YY)));
pBlobs->AddBlob(&NewBlob);
} /* Next cluster. */
#if 0
{ // Debug info:
IplImage* pI = cvCreateImage(cvSize(pFG->width,pFG->height),IPL_DEPTH_8U,3);
cvZero(pI);
for(claster_cur=0; claster_cur<claster_num; ++claster_cur)
{
int cnt_cur;
CvScalar color = CV_RGB(rand()%256,rand()%256,rand()%256);
for(cnt_cur=0; cnt_cur<clasters->total; ++cnt_cur)
{
CvSeq* cnt;
int k = *(int*)cvGetSeqElem( clasters, cnt_cur );
if(k!=claster_cur) continue;
cnt = *(CvSeq**)cvGetSeqElem( cnt_list, cnt_cur );
cvDrawContours( pI, cnt, color, color, 0, 1, 8);
}
CvBlob* pB = pBlobs->GetBlob(claster_cur);
int x = cvRound(CV_BLOB_RX(pB)), y = cvRound(CV_BLOB_RY(pB));
//.........这里部分代码省略.........
开发者ID:colombc，项目名称:Sankore-ThirdParty，代码行数:101，代码来源:enteringblobdetection.cpp
示例13: cvSize
//.........这里部分代码省略.........
} /* Analyze blod list to find best blob trajectory. */
{ /* Delete bad tracks: */
int i;
for(i=m_TrackNum-1; i>=0; --i)
{ /* Delete bad tracks: */
if(m_TrackSeq[i].pBlobs[0]) continue;
if(m_TrackNum>0)
m_TrackSeq[i] = m_TrackSeq[--m_TrackNum];
} /* Delete bad tracks: */
}
#ifdef USE_OBJECT_DETECTOR
if( m_split_detector && pNewBlobList->GetBlobNum() > 0 )
{
int num_new_blobs = pNewBlobList->GetBlobNum();
int i = 0;
if( m_roi_seq ) cvClearSeq( m_roi_seq );
m_debug_blob_seq.Clear();
for( i = 0; i < num_new_blobs; ++i )
{
CvBlob* b = pNewBlobList->GetBlob(i);
CvMat roi_stub;
CvMat* roi_mat = 0;
CvMat* scaled_roi_mat = 0;
CvDetectedBlob d_b = cvDetectedBlob( CV_BLOB_X(b), CV_BLOB_Y(b), CV_BLOB_WX(b), CV_BLOB_WY(b), 0 );
m_debug_blob_seq.AddBlob(&d_b);
float scale = m_param_roi_scale * m_min_window_size.height / CV_BLOB_WY(b);
float b_width = MAX(CV_BLOB_WX(b), m_min_window_size.width / scale)
+ (m_param_roi_scale - 1.0F) * (m_min_window_size.width / scale)
+ 2.0F * m_max_border / scale;
float b_height = CV_BLOB_WY(b) * m_param_roi_scale + 2.0F * m_max_border / scale;
CvRect roi = cvRectIntersection( cvRect( cvFloor(CV_BLOB_X(b) - 0.5F*b_width),
cvFloor(CV_BLOB_Y(b) - 0.5F*b_height),
cvCeil(b_width), cvCeil(b_height) ),
cvRect( 0, 0, pImg->width, pImg->height ) );
if( roi.width <= 0 || roi.height <= 0 )
continue;
if( m_roi_seq ) cvSeqPush( m_roi_seq, &roi );
roi_mat = cvGetSubRect( pImg, &roi_stub, roi );
scaled_roi_mat = cvCreateMat( cvCeil(scale*roi.height), cvCeil(scale*roi.width), CV_8UC3 );
cvResize( roi_mat, scaled_roi_mat );
m_detected_blob_seq.Clear();
m_split_detector->Detect( scaled_roi_mat, &m_detected_blob_seq );
cvReleaseMat( &scaled_roi_mat );
for( int k = 0; k < m_detected_blob_seq.GetBlobNum(); ++k )
{
CvDetectedBlob* b = (CvDetectedBlob*) m_detected_blob_seq.GetBlob(k);
/* scale and shift each detected blob back to the original image coordinates */
CV_BLOB_X(b) = CV_BLOB_X(b) / scale + roi.x;
CV_BLOB_Y(b) = CV_BLOB_Y(b) / scale + roi.y;
CV_BLOB_WX(b) /= scale;
CV_BLOB_WY(b) /= scale;
CvDetectedBlob d_b = cvDetectedBlob( CV_BLOB_X(b), CV_BLOB_Y(b), CV_BLOB_WX(b), CV_BLOB_WY(b), 1,
b->response );
m_debug_blob_seq.AddBlob(&d_b);
}
if( m_detected_blob_seq.GetBlobNum() > 1 )
{
/*
* Split blob.
* The original blob is replaced by the first detected blob,
* remaining detected blobs are added to the end of the sequence:
*/
CvBlob* first_b = m_detected_blob_seq.GetBlob(0);
CV_BLOB_X(b) = CV_BLOB_X(first_b); CV_BLOB_Y(b) = CV_BLOB_Y(first_b);
CV_BLOB_WX(b) = CV_BLOB_WX(first_b); CV_BLOB_WY(b) = CV_BLOB_WY(first_b);
for( int j = 1; j < m_detected_blob_seq.GetBlobNum(); ++j )
{
CvBlob* detected_b = m_detected_blob_seq.GetBlob(j);
pNewBlobList->AddBlob(detected_b);
}
}
} /* For each new blob. */
for( i = 0; i < pNewBlobList->GetBlobNum(); ++i )
{
CvBlob* b = pNewBlobList->GetBlob(i);
CvDetectedBlob d_b = cvDetectedBlob( CV_BLOB_X(b), CV_BLOB_Y(b), CV_BLOB_WX(b), CV_BLOB_WY(b), 2 );
m_debug_blob_seq.AddBlob(&d_b);
}
} // if( m_split_detector )
#endif
return result;
} /* cvDetectNewBlob */
开发者ID:colombc，项目名称:Sankore-ThirdParty，代码行数:101，代码来源:enteringblobdetection.cpp
示例14: GetMinRect
CvRect GetMinRect(IplImage* srcImg, CvScalar bgColor/*=CV_RGB(0,0,0)*/)//返回图像的外包围矩形范围
{
CvRect roiRc=cvRect(0,0,0,0);
if(!CV_IS_IMAGE(srcImg) )
{
return roiRc;
}
bool isGetTop=false,isGetBottom=false,isGetLeft=false,isGetRight=false;//是否得到各边界
for(int i=0; i<srcImg->height; ++i){
for(int top=0; top<srcImg->width && !isGetTop; ++top){
CvScalar piexColor=bgColor;
for (int k=0; k<srcImg->nChannels; ++k){
uchar piex=((uchar*)srcImg->imageData + i*srcImg->widthStep)[top*srcImg->nChannels+k];
piexColor.val[k]=piex;
}
if (piexColor.val[0]==bgColor.val[0] &&
piexColor.val[1]==bgColor.val[1] &&
piexColor.val[2]==bgColor.val[2] &&
piexColor.val[3]==bgColor.val[3]){
continue;
}else{
roiRc.y=i;//得到最顶行
isGetTop=true;
break;
}
}
}
for(int i=srcImg->height-1; i>0; --i){
for(int bottom=0; bottom < srcImg->width && !isGetBottom; ++bottom){
CvScalar piexColor=bgColor;
for (int k=0; k<srcImg->nChannels; ++k){
uchar piex=((uchar*)srcImg->imageData + i*srcImg->widthStep)[bottom*srcImg->nChannels+k];
piexColor.val[k]=piex;
}
if (piexColor.val[0]==bgColor.val[0] &&
piexColor.val[1]==bgColor.val[1] &&
piexColor.val[2]==bgColor.val[2] &&
piexColor.val[3]==bgColor.val[3]){
continue;
}else{
roiRc.height=i;//得到最低行
isGetBottom=true;
break;
}
}
}
for(int i=0; i<srcImg->width; ++i){
for(int left=0; left<srcImg->height && !isGetLeft; ++left){
CvScalar piexColor=bgColor;
for (int k=0; k<srcImg->nChannels; ++k){
uchar piex=((uchar*)srcImg->imageData + left*srcImg->widthStep)[i*srcImg->nChannels+k];
piexColor.val[k]=piex;
}
if (piexColor.val[0]==bgColor.val[0] &&
piexColor.val[1]==bgColor.val[1] &&
piexColor.val[2]==bgColor.val[2] &&
piexColor.val[3]==bgColor.val[3]){
continue;
}else{
roiRc.x=i;//得到最左列
isGetLeft=true;
break;
}
}
}
for(int i=srcImg->width - 1; i>0; --i)
{
for(int right=0; right<srcImg->height && !isGetRight; ++right){
CvScalar piexColor=bgColor;
for (int k=0; k<srcImg->nChannels; ++k){
uchar piex=((uchar*)srcImg->imageData + right*srcImg->widthStep)[i*srcImg->nChannels+k];
piexColor.val[k]=piex;
}
if (piexColor.val[0]==bgColor.val[0] &&
piexColor.val[1]==bgColor.val[1] &&
piexColor.val[2]==bgColor.val[2] &&
piexColor.val[3]==bgColor.val[3]){
continue;
}else{
roiRc.width=i;//得到最右列
isGetRight=true;
break;
}
}
}
if (!isGetLeft || !isGetRight || !isGetTop || !isGetBottom)
{
return roiRc;//没找到目标，全部都是背景
}
roiRc.width=roiRc.width-roiRc.x+1;
roiRc.height=roiRc.height-roiRc.y+1;
if (roiRc.x+roiRc.width>srcImg->width)
{
roiRc.width--;
}
if (roiRc.y+roiRc.height>srcImg->height)
{
roiRc.height--;
//.........这里部分代码省略.........
开发者ID:github188，项目名称:piglets-monitoring，代码行数:101，代码来源:Public.cpp
示例15: symmetry_img
static IplImage* symmetry_img(IplImage* pImg, int loop)
{
int T=10;
int X=0;
int i=0;
int j=0;
IplImage* I=pImg;
IplImage* IL;
IplImage* IR;
|
客服电话
APP下载
官方微信
请发表评论