Searched refs:haar_feature (Results 1 – 6 of 6) sorted by relevance
236 if( classifier->haar_feature[l].rect[k].r.width ) in icvCreateHidHaarClassifierCascade()238 CvRect r = classifier->haar_feature[l].rect[k].r; in icvCreateHidHaarClassifierCascade()239 int tilted = classifier->haar_feature[l].tilted; in icvCreateHidHaarClassifierCascade()316 CvHaarFeature* feature = classifier->haar_feature + l; in icvCreateHidHaarClassifierCascade()367 int rect_count = 2 + (classifier->haar_feature->rect[2].r.width != 0); in icvCreateHidHaarClassifierCascade()376 ipp_features[k] = classifier->haar_feature->rect[l].r; in icvCreateHidHaarClassifierCascade()378 ipp_weights[k] = classifier->haar_feature->rect[l].weight*ipp_weight_scale; in icvCreateHidHaarClassifierCascade()529 &_cascade->stage_classifier[i].classifier[j].haar_feature[l]; in cvSetImagesForHaarClassifierCascade()1570 classifier->haar_feature = (CvHaarFeature*) cvAlloc( in icvLoadCascadeCART()1571 classifier->count * ( sizeof( *classifier->haar_feature ) + in icvLoadCascadeCART()[all …]
218 if( classifier->haar_feature[l].rect[k].r.width ) in myicvCreateHidHaarClassifierCascade()220 CvRect r = classifier->haar_feature[l].rect[k].r; in myicvCreateHidHaarClassifierCascade()221 int tilted = classifier->haar_feature[l].tilted; in myicvCreateHidHaarClassifierCascade()298 CvHaarFeature* feature = classifier->haar_feature + l; in myicvCreateHidHaarClassifierCascade()728 &_cascade->stage_classifier[i].classifier[j].haar_feature[l]; in mycvSetImagesForHaarClassifierCascade()
238 if( classifier->haar_feature[l].rect[k].r.width ) in icvCreateHidHaarClassifierCascade()240 CvRect r = classifier->haar_feature[l].rect[k].r; in icvCreateHidHaarClassifierCascade()241 int tilted = classifier->haar_feature[l].tilted; in icvCreateHidHaarClassifierCascade()318 CvHaarFeature* feature = classifier->haar_feature + l; in icvCreateHidHaarClassifierCascade()516 &_cascade->stage_classifier[i].classifier[j].haar_feature[l]; in cvSetImagesForHaarClassifierCascade()1856 classifier->haar_feature = (CvHaarFeature*) cvAlloc( in icvLoadCascadeCART()1857 classifier->count * ( sizeof( *classifier->haar_feature ) + in icvLoadCascadeCART()1862 classifier->threshold = (float*) (classifier->haar_feature+classifier->count); in icvLoadCascadeCART()1880 &(classifier->haar_feature[l].rect[k].weight), &dl ); in icvLoadCascadeCART()1882 classifier->haar_feature[l].rect[k].r = r; in icvLoadCascadeCART()[all …]
86 CvHaarFeature* haar_feature; member
341 CvHaarFeature* haar_feature; member
2167 CvHaarFeature* feature = &tree->haar_feature[n]; in loadFromXML()