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Diffstat (limited to 'pix_opencv_motempl.cpp')
| -rw-r--r-- | pix_opencv_motempl.cpp | 631 |
1 files changed, 631 insertions, 0 deletions
diff --git a/pix_opencv_motempl.cpp b/pix_opencv_motempl.cpp new file mode 100644 index 0000000..48f6be6 --- /dev/null +++ b/pix_opencv_motempl.cpp @@ -0,0 +1,631 @@ +//////////////////////////////////////////////////////// +// +// GEM - Graphics Environment for Multimedia +// +// zmoelnig@iem.kug.ac.at +// +// Implementation file +// +// Copyright (c) 1997-2000 Mark Danks. +// Copyright (c) Günther Geiger. +// Copyright (c) 2001-2002 IOhannes m zmoelnig. forum::für::umläute. IEM +// Copyright (c) 2002 James Tittle & Chris Clepper +// For information on usage and redistribution, and for a DISCLAIMER OF ALL +// WARRANTIES, see the file, "GEM.LICENSE.TERMS" in this distribution. +// +///////////////////////////////////////////////////////// + +#include "pix_opencv_motempl.h" + +CPPEXTERN_NEW(pix_opencv_motempl) + +///////////////////////////////////////////////////////// +// +// pix_opencv_motempl +// +///////////////////////////////////////////////////////// +// Constructor +// +///////////////////////////////////////////////////////// +pix_opencv_motempl :: pix_opencv_motempl() +{ + int i; + + inlet_new(this->x_obj, &this->x_obj->ob_pd, gensym("float"), gensym("ft1")); + inlet_new(this->x_obj, &this->x_obj->ob_pd, gensym("float"), gensym("min_size")); + inlet_new(this->x_obj, &this->x_obj->ob_pd, gensym("float"), gensym("max_size")); + m_dataout = outlet_new(this->x_obj, 0); + + mhi_duration = 1; + diff_threshold = 30; + last = 0; + comp_xsize = 0; + comp_ysize = 0; + + // various tracking parameters (in seconds) + max_time_delta = 0.5; + min_time_delta = 0.05; + // number of cyclic frame buffer used for motion detection + // (should, probably, depend on FPS) + frame_buffer_num = 4; + + min_size=50; + max_size=500; + + img = NULL; + motion = NULL; + rgba = NULL; + alpha = NULL; + mhi = NULL; + orient = NULL; + mask = NULL; + segmask = NULL; + storage = NULL; + + mask_size = CV_DIST_MASK_PRECISE; + +} + +///////////////////////////////////////////////////////// +// Destructor +// +///////////////////////////////////////////////////////// +pix_opencv_motempl :: ~pix_opencv_motempl() +{ + //Destroy cv_images to clean memory + cvReleaseImage( &img ); + cvReleaseImage( &motion ); + cvReleaseImage( &rgba ); + cvReleaseImage( &alpha ); +} + +///////////////////////////////////////////////////////// +// processImage +// +///////////////////////////////////////////////////////// +void pix_opencv_motempl :: processRGBAImage(imageStruct &image) +{ + + if ((this->comp_xsize!=image.xsize)&&(this->comp_ysize!=image.ysize)) { + + this->comp_xsize = image.xsize; + this->comp_ysize = image.ysize; + + //Destroy cv_images to clean memory + cvReleaseImage( &img ); + cvReleaseImage( &motion ); + cvReleaseImage( &rgba ); + cvReleaseImage( &alpha ); + + //Create cv_images + img = cvCreateImage(cvSize(image.xsize, image.ysize), IPL_DEPTH_8U, 3); + motion = cvCreateImage( cvSize(img->width,img->height), 8, 3 ); + cvZero( motion ); + motion->origin = img->origin; + rgba = cvCreateImage( cvSize(image.xsize, image.ysize), 8, 4 ); + alpha = cvCreateImage( cvSize(image.xsize, image.ysize), 8, 1 ); + } + // FEM UNA COPIA DEL PACKET A image->imageData ... http://www.cs.iit.edu/~agam/cs512/lect-notes/opencv-intro/opencv-intro.html aqui veiem la estructura de IplImage + memcpy( rgba->imageData, image.data, image.xsize*image.ysize*4 ); + + CvArr* in[] = { rgba }; + CvArr* out[] = { img, alpha }; + int from_to[] = { 0, 0, 1, 1, 2, 2, 3, 3 }; + //cvSet( rgba, cvScalar(1,2,3,4) ); + cvMixChannels( (const CvArr**)in, 1, out, 2, from_to, 4 ); + + double timestamp = (double)clock()/CLOCKS_PER_SEC; // get current time in seconds + CvSize size = cvSize(img->width,img->height); // get current frame size + int i, idx1 = last, idx2; + IplImage* silh; + CvSeq* seq; + CvRect comp_rect; + double count; + double angle; + CvPoint center; + double magnitude; + CvScalar color; + + // allocate images at the beginning or + // reallocate them if the frame size is changed + if( (!mhi) || (mhi->width != size.width) || (mhi->height != size.height) || (!buf)) { + if( buf == 0 ) { + buf = (IplImage**)malloc(frame_buffer_num*sizeof(buf[0])); + //memset( buf, 0, N*sizeof(buf[0])); + } + + for( i = 0; i < frame_buffer_num; i++ ) { + //cvReleaseImage( &(buf[i]) ); + buf[i] = cvCreateImage( size, IPL_DEPTH_8U, 1 ); + cvZero( buf[i] ); + } + cvReleaseImage( &mhi ); + cvReleaseImage( &orient ); + cvReleaseImage( &segmask ); + cvReleaseImage( &mask ); + + mhi = cvCreateImage( size, IPL_DEPTH_32F, 1 ); + cvZero( mhi ); // clear MHI at the beginning + orient = cvCreateImage( size, IPL_DEPTH_32F, 1 ); + segmask = cvCreateImage( size, IPL_DEPTH_32F, 1 ); + mask = cvCreateImage( size, IPL_DEPTH_8U, 1 ); + } + + cvCvtColor( img, buf[last], CV_BGR2GRAY ); // convert frame to grayscale + + idx2 = (last + 1) % frame_buffer_num; // index of (last - (N-1))th frame + last = idx2; + + silh = buf[idx2]; + cvAbsDiff( buf[idx1], buf[idx2], silh ); // get difference between frames + + cvThreshold( silh, silh, diff_threshold, 1, CV_THRESH_BINARY ); // and threshold it + cvUpdateMotionHistory( silh, mhi, timestamp, mhi_duration ); // update MHI + + // convert MHI to red 8u image + cvCvtScale( mhi, mask, 255./mhi_duration, + (mhi_duration - timestamp)*255./mhi_duration ); + cvZero( motion ); + cvCvtPlaneToPix( mask, 0, 0, 0, motion ); + + // calculate motion gradient orientation and valid orientation mask + cvCalcMotionGradient( mhi, mask, orient, max_time_delta, min_time_delta, 3 ); + + if( !storage ) + storage = cvCreateMemStorage(0); + else + cvClearMemStorage(storage); + + // segment motion: get sequence of motion components + // segmask is marked motion components map. It is not used further + seq = cvSegmentMotion( mhi, segmask, storage, timestamp, max_time_delta ); + + // iterate through the motion components, + // One more iteration (i == -1) corresponds to the whole image (global motion) + for( i = -1; i < seq->total; i++ ) { + + if( i < 0 ) { // case of the whole image + comp_rect = cvRect( 0, 0, size.width, size.height ); + color = CV_RGB(255,255,255); + magnitude = 100; + } + else { // i-th motion component + comp_rect = ((CvConnectedComp*)cvGetSeqElem( seq, i ))->rect; + if(( comp_rect.width + comp_rect.height < min_size )||( comp_rect.width + comp_rect.height > max_size )) // reject very small/big components + continue; + color = CV_RGB(255,0,0); + magnitude = (comp_rect.width + comp_rect.height) /4; + } + + // select component ROI + cvSetImageROI( silh, comp_rect ); + cvSetImageROI( mhi, comp_rect ); + cvSetImageROI( orient, comp_rect ); + cvSetImageROI( mask, comp_rect ); + + // calculate orientation + angle = cvCalcGlobalOrientation( orient, mask, mhi, timestamp, mhi_duration); + angle = 360.0 - angle; // adjust for images with top-left origin + + count = cvNorm( silh, 0, CV_L1, 0 ); // calculate number of points within silhouette ROI + + cvResetImageROI( mhi ); + cvResetImageROI( orient ); + cvResetImageROI( mask ); + cvResetImageROI( silh ); + + // check for the case of little motion + if( count < comp_rect.width*comp_rect.height * 0.05 ) + continue; + + // draw a clock with arrow indicating the direction + center = cvPoint( (comp_rect.x + comp_rect.width/2), + (comp_rect.y + comp_rect.height/2) ); + + cvCircle( motion, center, cvRound(magnitude*1.2), color, 3, CV_AA, 0 ); + cvLine( motion, center, cvPoint( cvRound( center.x + magnitude*cos(angle*CV_PI/180)), + cvRound( center.y - magnitude*sin(angle*CV_PI/180))), color, 3, CV_AA, 0 ); + + //aqui treurem la info dels blobs en questio ... + t_atom rlist[6]; + SETFLOAT(&rlist[0], i); + SETFLOAT(&rlist[1], center.x); + SETFLOAT(&rlist[2], center.y); + SETFLOAT(&rlist[3], comp_rect.width); + SETFLOAT(&rlist[4], comp_rect.height); + SETFLOAT(&rlist[5], angle); + outlet_list( m_dataout, 0, 6, rlist ); + } + + + CvArr* src[] = { motion, alpha }; + CvArr* dst[] = { rgba }; + cvMixChannels( (const CvArr**)src, 2, (CvArr**)dst, 1, from_to, 4 ); + //cvShowImage(wndname, cedge); + memcpy( image.data, rgba->imageData, image.xsize*image.ysize*4 ); +} + +void pix_opencv_motempl :: processRGBImage(imageStruct &image) +{ + if ((this->comp_xsize!=image.xsize)&&(this->comp_ysize!=image.ysize)) { + + this->comp_xsize = image.xsize; + this->comp_ysize = image.ysize; + + //Destroy cv_images to clean memory + cvReleaseImage( &img ); + cvReleaseImage( &motion ); + cvReleaseImage( &rgba ); + cvReleaseImage( &alpha ); + + //Create cv_images + img = cvCreateImage(cvSize(image.xsize, image.ysize), IPL_DEPTH_8U, 3); + motion = cvCreateImage( cvSize(img->width,img->height), 8, 3 ); + cvZero( motion ); + motion->origin = img->origin; + rgba = cvCreateImage( cvSize(image.xsize, image.ysize), 8, 4 ); + alpha = cvCreateImage( cvSize(image.xsize, image.ysize), 8, 1 ); + } + // FEM UNA COPIA DEL PACKET A image->imageData ... http://www.cs.iit.edu/~agam/cs512/lect-notes/opencv-intro/opencv-intro.html aqui veiem la estructura de IplImage + memcpy( img->imageData, image.data, image.xsize*image.ysize*3 ); + + double timestamp = (double)clock()/CLOCKS_PER_SEC; // get current time in seconds + CvSize size = cvSize(img->width,img->height); // get current frame size + int i, idx1 = last, idx2; + IplImage* silh; + CvSeq* seq; + CvRect comp_rect; + double count; + double angle; + CvPoint center; + double magnitude; + CvScalar color; + + // allocate images at the beginning or + // reallocate them if the frame size is changed + if( (!mhi) || (mhi->width != size.width) || (mhi->height != size.height) || (!buf)) { + if( buf == 0 ) { + buf = (IplImage**)malloc(frame_buffer_num*sizeof(buf[0])); + //memset( buf, 0, N*sizeof(buf[0])); + } + + for( i = 0; i < frame_buffer_num; i++ ) { + //cvReleaseImage( &(buf[i]) ); + buf[i] = cvCreateImage( size, IPL_DEPTH_8U, 1 ); + cvZero( buf[i] ); + } + cvReleaseImage( &mhi ); + cvReleaseImage( &orient ); + cvReleaseImage( &segmask ); + cvReleaseImage( &mask ); + + mhi = cvCreateImage( size, IPL_DEPTH_32F, 1 ); + cvZero( mhi ); // clear MHI at the beginning + orient = cvCreateImage( size, IPL_DEPTH_32F, 1 ); + segmask = cvCreateImage( size, IPL_DEPTH_32F, 1 ); + mask = cvCreateImage( size, IPL_DEPTH_8U, 1 ); + } + + cvCvtColor( img, buf[last], CV_BGR2GRAY ); // convert frame to grayscale + + idx2 = (last + 1) % frame_buffer_num; // index of (last - (N-1))th frame + last = idx2; + + silh = buf[idx2]; + cvAbsDiff( buf[idx1], buf[idx2], silh ); // get difference between frames + + cvThreshold( silh, silh, diff_threshold, 1, CV_THRESH_BINARY ); // and threshold it + cvUpdateMotionHistory( silh, mhi, timestamp, mhi_duration ); // update MHI + + // convert MHI to blue 8u image + cvCvtScale( mhi, mask, 255./mhi_duration, + (mhi_duration - timestamp)*255./mhi_duration ); + cvZero( motion ); + cvCvtPlaneToPix( mask, 0, 0, 0, motion ); + + // calculate motion gradient orientation and valid orientation mask + cvCalcMotionGradient( mhi, mask, orient, max_time_delta, min_time_delta, 3 ); + + if( !storage ) + storage = cvCreateMemStorage(0); + else + cvClearMemStorage(storage); + + // segment motion: get sequence of motion components + // segmask is marked motion components map. It is not used further + seq = cvSegmentMotion( mhi, segmask, storage, timestamp, max_time_delta ); + + // iterate through the motion components, + // One more iteration (i == -1) corresponds to the whole image (global motion) + for( i = -1; i < seq->total; i++ ) { + + if( i < 0 ) { // case of the whole image + comp_rect = cvRect( 0, 0, size.width, size.height ); + color = CV_RGB(255,255,255); + magnitude = 100; + } + else { // i-th motion component + comp_rect = ((CvConnectedComp*)cvGetSeqElem( seq, i ))->rect; + if(( comp_rect.width + comp_rect.height < min_size )||( comp_rect.width + comp_rect.height > max_size )) // reject very small/big components + continue; + color = CV_RGB(255,0,0); + magnitude = (comp_rect.width + comp_rect.height) / 4; + } + + // select component ROI + cvSetImageROI( silh, comp_rect ); + cvSetImageROI( mhi, comp_rect ); + cvSetImageROI( orient, comp_rect ); + cvSetImageROI( mask, comp_rect ); + + // calculate orientation + angle = cvCalcGlobalOrientation( orient, mask, mhi, timestamp, mhi_duration); + angle = 360.0 - angle; // adjust for images with top-left origin + + count = cvNorm( silh, 0, CV_L1, 0 ); // calculate number of points within silhouette ROI + + cvResetImageROI( mhi ); + cvResetImageROI( orient ); + cvResetImageROI( mask ); + cvResetImageROI( silh ); + + // check for the case of little motion + if( count < comp_rect.width*comp_rect.height * 0.05 ) + continue; + + // draw a clock with arrow indicating the direction + center = cvPoint( (comp_rect.x + comp_rect.width/2), + (comp_rect.y + comp_rect.height/2) ); + + cvCircle( motion, center, cvRound(magnitude*1.2), color, 3, CV_AA, 0 ); + cvLine( motion, center, cvPoint( cvRound( center.x + magnitude*cos(angle*CV_PI/180)), + cvRound( center.y - magnitude*sin(angle*CV_PI/180))), color, 3, CV_AA, 0 ); + + t_atom rlist[6]; + SETFLOAT(&rlist[0], i); + SETFLOAT(&rlist[1], center.x); + SETFLOAT(&rlist[2], center.y); + SETFLOAT(&rlist[3], comp_rect.width); + SETFLOAT(&rlist[4], comp_rect.height); + SETFLOAT(&rlist[5], angle); + outlet_list( m_dataout, 0, 6, rlist ); + } + + + //cvShowImage(wndname, cedge); + memcpy( image.data, motion->imageData, image.xsize*image.ysize*3 ); +} + +void pix_opencv_motempl :: processYUVImage(imageStruct &image) +{ +} + +void pix_opencv_motempl :: processGrayImage(imageStruct &image) +{ + if ((this->comp_xsize!=image.xsize)&&(this->comp_ysize!=image.ysize)) { + + this->comp_xsize = image.xsize; + this->comp_ysize = image.ysize; + + //Destroy cv_images to clean memory + cvReleaseImage( &img ); + cvReleaseImage( &motion ); + cvReleaseImage( &rgba ); + cvReleaseImage( &alpha ); + + //Create cv_images + img = cvCreateImage(cvSize(image.xsize, image.ysize), IPL_DEPTH_8U, 3); + motion = cvCreateImage( cvSize(img->width,img->height), 8, 3 ); + cvZero( motion ); + motion->origin = img->origin; + rgba = cvCreateImage( cvSize(image.xsize, image.ysize), 8, 4 ); + alpha = cvCreateImage( cvSize(image.xsize, image.ysize), 8, 1 ); + } + // FEM UNA COPIA DEL PACKET A image->imageData ... http://www.cs.iit.edu/~agam/cs512/lect-notes/opencv-intro/opencv-intro.html aqui veiem la estructura de IplImage + memcpy( alpha->imageData, image.data, image.xsize*image.ysize ); + + // Convert to RGB + cvCvtColor( alpha, img, CV_GRAY2RGB); + + double timestamp = (double)clock()/CLOCKS_PER_SEC; // get current time in seconds + CvSize size = cvSize(img->width,img->height); // get current frame size + int i, idx1 = last, idx2; + IplImage* silh; + CvSeq* seq; + CvRect comp_rect; + double count; + double angle; + CvPoint center; + double magnitude; + CvScalar color; + + // allocate images at the beginning or + // reallocate them if the frame size is changed + if( (!mhi) || (mhi->width != size.width) || (mhi->height != size.height) || (!buf)) { + if( buf == 0 ) { + buf = (IplImage**)malloc(frame_buffer_num*sizeof(buf[0])); + //memset( buf, 0, N*sizeof(buf[0])); + } + + for( i = 0; i < frame_buffer_num; i++ ) { + //cvReleaseImage( &(buf[i]) ); + buf[i] = cvCreateImage( size, IPL_DEPTH_8U, 1 ); + cvZero( buf[i] ); + } + cvReleaseImage( &mhi ); + cvReleaseImage( &orient ); + cvReleaseImage( &segmask ); + cvReleaseImage( &mask ); + + mhi = cvCreateImage( size, IPL_DEPTH_32F, 1 ); + cvZero( mhi ); // clear MHI at the beginning + orient = cvCreateImage( size, IPL_DEPTH_32F, 1 ); + segmask = cvCreateImage( size, IPL_DEPTH_32F, 1 ); + mask = cvCreateImage( size, IPL_DEPTH_8U, 1 ); + } + + cvCvtColor( img, buf[last], CV_BGR2GRAY ); // convert frame to grayscale + + idx2 = (last + 1) % frame_buffer_num; // index of (last - (N-1))th frame + last = idx2; + + silh = buf[idx2]; + cvAbsDiff( buf[idx1], buf[idx2], silh ); // get difference between frames + + cvThreshold( silh, silh, diff_threshold, 1, CV_THRESH_BINARY ); // and threshold it + cvUpdateMotionHistory( silh, mhi, timestamp, mhi_duration ); // update MHI + + // convert MHI to blue 8u image + cvCvtScale( mhi, mask, 255./mhi_duration, + (mhi_duration - timestamp)*255./mhi_duration ); + cvZero( motion ); + cvCvtPlaneToPix( mask, 0, 0, 0, motion ); + + // calculate motion gradient orientation and valid orientation mask + cvCalcMotionGradient( mhi, mask, orient, max_time_delta, min_time_delta, 3 ); + + if( !storage ) + storage = cvCreateMemStorage(0); + else + cvClearMemStorage(storage); + + // segment motion: get sequence of motion components + // segmask is marked motion components map. It is not used further + seq = cvSegmentMotion( mhi, segmask, storage, timestamp, max_time_delta ); + + // iterate through the motion components, + // One more iteration (i == -1) corresponds to the whole image (global motion) + for( i = -1; i < seq->total; i++ ) { + + if( i < 0 ) { // case of the whole image + comp_rect = cvRect( 0, 0, size.width, size.height ); + color = CV_RGB(255,255,255); + magnitude = 100; + } + else { // i-th motion component + comp_rect = ((CvConnectedComp*)cvGetSeqElem( seq, i ))->rect; + if(( comp_rect.width + comp_rect.height < min_size )||( comp_rect.width + comp_rect.height > max_size )) // reject very small components + continue; + color = CV_RGB(255,0,0); + magnitude = (comp_rect.width + comp_rect.height) / 4; + } + + // select component ROI + cvSetImageROI( silh, comp_rect ); + cvSetImageROI( mhi, comp_rect ); + cvSetImageROI( orient, comp_rect ); + cvSetImageROI( mask, comp_rect ); + + // calculate orientation + angle = cvCalcGlobalOrientation( orient, mask, mhi, timestamp, mhi_duration); + angle = 360.0 - angle; // adjust for images with top-left origin + + count = cvNorm( silh, 0, CV_L1, 0 ); // calculate number of points within silhouette ROI + + cvResetImageROI( mhi ); + cvResetImageROI( orient ); + cvResetImageROI( mask ); + cvResetImageROI( silh ); + + // check for the case of little motion + if( count < comp_rect.width*comp_rect.height * 0.05 ) + continue; + + // draw a clock with arrow indicating the direction + center = cvPoint( (comp_rect.x + comp_rect.width/2), + (comp_rect.y + comp_rect.height/2) ); + + cvCircle( motion, center, cvRound(magnitude*1.2), color, 3, CV_AA, 0 ); + cvLine( motion, center, cvPoint( cvRound( center.x + magnitude*cos(angle*CV_PI/180)), + cvRound( center.y - magnitude*sin(angle*CV_PI/180))), color, 3, CV_AA, 0 ); + + t_atom rlist[6]; + SETFLOAT(&rlist[0], i); + SETFLOAT(&rlist[1], center.x); + SETFLOAT(&rlist[2], center.y); + SETFLOAT(&rlist[3], comp_rect.width); + SETFLOAT(&rlist[4], comp_rect.height); + SETFLOAT(&rlist[5], angle); + outlet_list( m_dataout, 0, 6, rlist ); + } + + + // Convert to grayscale + cvCvtColor( motion, alpha, CV_RGB2GRAY); + //cvShowImage(wndname, cedge); + memcpy( image.data, alpha->imageData, image.xsize*image.ysize ); +} + +///////////////////////////////////////////////////////// +// static member function +// +///////////////////////////////////////////////////////// +void pix_opencv_motempl :: obj_setupCallback(t_class *classPtr) +{ + class_addmethod(classPtr, (t_method)&pix_opencv_motempl::thresholdMessCallback, + gensym("ft1"), A_FLOAT, A_NULL); + class_addmethod(classPtr, (t_method)&pix_opencv_motempl::mhi_durationMessCallback, + gensym("mhi_duration"), A_FLOAT, A_NULL); + class_addmethod(classPtr, (t_method)&pix_opencv_motempl::max_time_deltaMessCallback, gensym("max_time_delta"), A_FLOAT, A_NULL); + class_addmethod(classPtr, (t_method)&pix_opencv_motempl::min_time_deltaMessCallback, gensym("min_time_delta"), A_FLOAT, A_NULL); + class_addmethod(classPtr, (t_method)&pix_opencv_motempl::frame_buffer_numMessCallback, gensym("frame_buffer_num"), A_FLOAT, A_NULL); + class_addmethod(classPtr, (t_method)&pix_opencv_motempl::min_sizeMessCallback, gensym("min_size"), A_FLOAT, A_NULL); + class_addmethod(classPtr, (t_method)&pix_opencv_motempl::max_sizeMessCallback, gensym("max_size"), A_FLOAT, A_NULL); +} +void pix_opencv_motempl :: thresholdMessCallback(void *data, t_floatarg pos) +{ + GetMyClass(data)->floatThreshMess((float)pos); +} +void pix_opencv_motempl :: mhi_durationMessCallback(void *data, t_floatarg mhi_duration) +{ + GetMyClass(data)->floatMhiDuration((float)mhi_duration); +} +void pix_opencv_motempl :: min_sizeMessCallback(void *data, t_floatarg min_size) +{ + GetMyClass(data)->floatmin_size((float)min_size); +} +void pix_opencv_motempl :: max_sizeMessCallback(void *data, t_floatarg max_size) +{ + GetMyClass(data)->floatmax_size((float)max_size); +} +void pix_opencv_motempl :: max_time_deltaMessCallback(void *data, t_floatarg max_time_delta) +{ + GetMyClass(data)->floatmax_time_delta((float)max_time_delta); +} +void pix_opencv_motempl :: min_time_deltaMessCallback(void *data, t_floatarg min_time_delta) +{ + GetMyClass(data)->floatmin_time_delta((float)min_time_delta); +} +void pix_opencv_motempl :: frame_buffer_numMessCallback(void *data, t_floatarg frame_buffer_num) +{ + GetMyClass(data)->floatframe_buffer_num((float)frame_buffer_num); +} +void pix_opencv_motempl :: floatThreshMess(float thresh) +{ + if (thresh>=0) diff_threshold = (int)thresh; +} +void pix_opencv_motempl :: floatMhiDuration(float duration) +{ + if (duration>=1) mhi_duration = (int)duration; +} +void pix_opencv_motempl :: floatmax_size(float max_size) +{ + if (max_size>=0) this->max_size = (int)max_size; +} +void pix_opencv_motempl :: floatmin_size(float min_size) +{ + if (min_size>=0) this->min_size = (int)min_size; +} +void pix_opencv_motempl :: floatframe_buffer_num(float frame_buffer_num) +{ + if (frame_buffer_num>=1) this->frame_buffer_num = (int)frame_buffer_num; + this->buf = NULL; +} +void pix_opencv_motempl :: floatmax_time_delta(float max_time_delta) +{ + if (max_time_delta>=0) this->max_time_delta = max_time_delta; +} +void pix_opencv_motempl :: floatmin_time_delta(float min_time_delta) +{ + if (min_time_delta>=0) this->min_time_delta = min_time_delta; +} |