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()
1887                 classifier->haar_feature[l].tilted = strncmp( str, "tilted", 6 ) == 0;  in icvLoadCascadeCART()
1891                     memset( classifier->haar_feature[l].rect + k, 0,  in icvLoadCascadeCART()
1892                             sizeof(classifier->haar_feature[l].rect[k]) );  in icvLoadCascadeCART()
2014                 cvFree( &cascade->stage_classifier[i].classifier[j].haar_feature );  in cvReleaseHaarClassifierCascade()
2111             cascade->stage_classifier[i].classifier[j].haar_feature = NULL;  in icvReadHaarClassifier()
2133             classifier->haar_feature = (CvHaarFeature*) cvAlloc(  in icvReadHaarClassifier()
2134                 classifier->count * ( sizeof( *classifier->haar_feature ) +  in icvReadHaarClassifier()
2139             classifier->threshold = (float*) (classifier->haar_feature+classifier->count);  in icvReadHaarClassifier()
2233                     classifier->haar_feature[k].rect[l].weight = (float) fn->data.f;  in icvReadHaarClassifier()
2234                     classifier->haar_feature[k].rect[l].r = r;  in icvReadHaarClassifier()
2240                     classifier->haar_feature[k].rect[l].weight = 0;  in icvReadHaarClassifier()
2241                     classifier->haar_feature[k].rect[l].r = cvRect( 0, 0, 0, 0 );  in icvReadHaarClassifier()
2251                 classifier->haar_feature[k].tilted = ( fn->data.i != 0 );  in icvReadHaarClassifier()
2428                 CvHaarFeature* feature = &tree->haar_feature[k];  in icvWriteHaarClassifier()
2527             cascade->stage_classifier[i].classifier[j].haar_feature = NULL;  in icvCloneHaarClassifier()
2537             classifier->haar_feature = (CvHaarFeature*) cvAlloc(  in icvCloneHaarClassifier()
2538                 classifier->count * ( sizeof( *classifier->haar_feature ) +  in icvCloneHaarClassifier()
2543             classifier->threshold = (float*) (classifier->haar_feature+classifier->count);  in icvCloneHaarClassifier()
2549                 classifier->haar_feature[k] = classifier_src->haar_feature[k];  in icvCloneHaarClassifier()