Lines Matching refs:step
379 int step;
386 step = matrix->step / CV_ELEM_SIZE(matrix->type);
397 dst += step;
398 for( j = 0; j < i; j++, src += step )
402 for( i = 0; i < rows-1; i++, dst += step )
404 const float* src = (const float*)(matrix->data.fl + (i+1)*step + i);
405 for( j = i+1; j < cols; j++, src += step )
417 dst += step;
418 for( j = 0; j < i; j++, src += step )
422 for( i = 0; i < rows-1; i++, dst += step )
424 const double* src = (const double*)(matrix->data.db + (i+1)*step + i);
425 for( j = i+1; j < cols; j++, src += step )
467 int i, idx_total, idx_selected = 0, step, type, prev = INT_MIN, is_sorted = 1;
483 step = CV_IS_MAT_CONT(idx_arr->type) ? 1 : idx_arr->step/CV_ELEM_SIZE(type);
496 idx_selected += srcb[i*step] != 0;
513 int val = srci[i*step];
533 if( srcb[i*step] )
539 dsti[i] = srci[i*step];
592 tm_step = var_type->step ? var_type->step/CV_ELEM_SIZE(var_type->type) : 1;
657 r_step = responses->step ? responses->step / CV_ELEM_SIZE(responses->type) : 1;
747 r_step = responses->step ? responses->step / CV_ELEM_SIZE(responses->type) : 1;
874 s_step = train_data->step / sizeof(samples[0][0]);
975 // step 0. clear all the output pointers to ensure we do not try
1218 sample_step = sample->step / sizeof(row_sample[0]);
1464 CV_CALL( icvConvertDataToSparse( labels->data.ptr, labels->step, labels->type,
1465 dst_labels->data.ptr, dst_labels->step, dst_labels->type,
1487 CV_CALL( icvConvertDataToSparse( centers->data.ptr + i*centers->step, 0, centers->type,
1488 dst_centers->data.ptr + i*dst_centers->step, 0, dst_centers->type,
1507 CV_CALL( icvConvertDataToSparse( probs->data.ptr, probs->step, probs->type,
1508 dst_probs->data.ptr, dst_probs->step, dst_probs->type,
1598 sample_idx_step = sample_idx->step ?
1599 sample_idx->step / CV_ELEM_SIZE(sample_idx->type) : 1;
1608 predict_output_step = predict_output->step ?
1609 predict_output->step / CV_ELEM_SIZE(predict_output->type) : 1;
