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()
1576             classifier->threshold = (float*) (classifier->haar_feature+classifier->count);  in icvLoadCascadeCART()
1594                             &(classifier->haar_feature[l].rect[k].weight), &dl );  in icvLoadCascadeCART()
1596                     classifier->haar_feature[l].rect[k].r = r;  in icvLoadCascadeCART()
1601                 classifier->haar_feature[l].tilted = strncmp( str, "tilted", 6 ) == 0;  in icvLoadCascadeCART()
1605                     memset( classifier->haar_feature[l].rect + k, 0,  in icvLoadCascadeCART()
1606                             sizeof(classifier->haar_feature[l].rect[k]) );  in icvLoadCascadeCART()
1739                 cvFree( &cascade->stage_classifier[i].classifier[j].haar_feature );  in cvReleaseHaarClassifierCascade()
1840             cascade->stage_classifier[i].classifier[j].haar_feature = NULL;  in icvReadHaarClassifier()
1862             CV_CALL( classifier->haar_feature = (CvHaarFeature*) cvAlloc(  in icvReadHaarClassifier()
1863                 classifier->count * ( sizeof( *classifier->haar_feature ) +  in icvReadHaarClassifier()
1868             classifier->threshold = (float*) (classifier->haar_feature+classifier->count);  in icvReadHaarClassifier()
1964                     classifier->haar_feature[k].rect[l].weight = (float) fn->data.f;  in icvReadHaarClassifier()
1965                     classifier->haar_feature[k].rect[l].r = r;  in icvReadHaarClassifier()
1971                     classifier->haar_feature[k].rect[l].weight = 0;  in icvReadHaarClassifier()
1972                     classifier->haar_feature[k].rect[l].r = cvRect( 0, 0, 0, 0 );  in icvReadHaarClassifier()
1982                 classifier->haar_feature[k].tilted = ( fn->data.i != 0 );  in icvReadHaarClassifier()
2173                 CvHaarFeature* feature = &tree->haar_feature[k];  in icvWriteHaarClassifier()
2283             cascade->stage_classifier[i].classifier[j].haar_feature = NULL;  in icvCloneHaarClassifier()
2294             CV_CALL( classifier->haar_feature = (CvHaarFeature*) cvAlloc(  in icvCloneHaarClassifier()
2295                 classifier->count * ( sizeof( *classifier->haar_feature ) +  in icvCloneHaarClassifier()
2300             classifier->threshold = (float*) (classifier->haar_feature+classifier->count);  in icvCloneHaarClassifier()
2306                 classifier->haar_feature[k] = classifier_src->haar_feature[k];  in icvCloneHaarClassifier()