Lines Matching refs:haar_feature
236 if( classifier->haar_feature[l].rect[k].r.width )
238 CvRect r = classifier->haar_feature[l].rect[k].r;
239 int tilted = classifier->haar_feature[l].tilted;
316 CvHaarFeature* feature = classifier->haar_feature + l;
367 int rect_count = 2 + (classifier->haar_feature->rect[2].r.width != 0);
376 ipp_features[k] = classifier->haar_feature->rect[l].r;
378 ipp_weights[k] = classifier->haar_feature->rect[l].weight*ipp_weight_scale;
529 &_cascade->stage_classifier[i].classifier[j].haar_feature[l];
1570 classifier->haar_feature = (CvHaarFeature*) cvAlloc(
1571 classifier->count * ( sizeof( *classifier->haar_feature ) +
1576 classifier->threshold = (float*) (classifier->haar_feature+classifier->count);
1594 &(classifier->haar_feature[l].rect[k].weight), &dl );
1596 classifier->haar_feature[l].rect[k].r = r;
1601 classifier->haar_feature[l].tilted = strncmp( str, "tilted", 6 ) == 0;
1605 memset( classifier->haar_feature[l].rect + k, 0,
1606 sizeof(classifier->haar_feature[l].rect[k]) );
1739 cvFree( &cascade->stage_classifier[i].classifier[j].haar_feature );
1840 cascade->stage_classifier[i].classifier[j].haar_feature = NULL;
1862 CV_CALL( classifier->haar_feature = (CvHaarFeature*) cvAlloc(
1863 classifier->count * ( sizeof( *classifier->haar_feature ) +
1868 classifier->threshold = (float*) (classifier->haar_feature+classifier->count);
1964 classifier->haar_feature[k].rect[l].weight = (float) fn->data.f;
1965 classifier->haar_feature[k].rect[l].r = r;
1971 classifier->haar_feature[k].rect[l].weight = 0;
1972 classifier->haar_feature[k].rect[l].r = cvRect( 0, 0, 0, 0 );
1982 classifier->haar_feature[k].tilted = ( fn->data.i != 0 );
2173 CvHaarFeature* feature = &tree->haar_feature[k];
2283 cascade->stage_classifier[i].classifier[j].haar_feature = NULL;
2294 CV_CALL( classifier->haar_feature = (CvHaarFeature*) cvAlloc(
2295 classifier->count * ( sizeof( *classifier->haar_feature ) +
2300 classifier->threshold = (float*) (classifier->haar_feature+classifier->count);
2306 classifier->haar_feature[k] = classifier_src->haar_feature[k];
