(* /*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // copy or use the software. // // // Intel License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2000, Intel Corporation, all rights reserved. // Third party copyrights are property of their respective owners. // // Redistribution and use in source and binary forms, with or without modification, // are permitted provided that the following conditions are met: // // * Redistribution's of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // // * Redistribution's in binary form must reproduce the above copyright notice, // this list of conditions and the following disclaimer in the documentation // and/or other materials provided with the distribution. // // * The name of Intel Corporation may not be used to endorse or promote products // derived from this software without specific prior written permission. // // This software is provided by the copyright holders and contributors "as is" and // any express or implied warranties, including, but not limited to, the implied // warranties of merchantability and fitness for a particular purpose are disclaimed. // In no event shall the Intel Corporation or contributors be liable for any direct, // indirect, incidental, special, exemplary, or consequential damages // (including, but not limited to, procurement of substitute goods or services; // loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. // //M*/ *) Unit haar; interface Uses core_c, Core.types_c; Const CV_HAAR_FEATURE_MAX = 3; Type Tsumtype = integer; psumtype = ^Tsumtype; Tsqsumtype = Double; psqsumtype = ^Tsqsumtype; TCvHidHaarFeatureRect = packed record p0, p1, p2, p3: psumtype; end; TCvHidHaarFeature = array [0 .. CV_HAAR_FEATURE_MAX - 1] of TCvHidHaarFeatureRect; pCvHidHaarTreeNode = ^TCvHidHaarTreeNode; TCvHidHaarTreeNode = packed record feature: TCvHidHaarFeature; threshold: Single; left: integer; right: integer; end; pCvHidHaarClassifier = ^TCvHidHaarClassifier; TCvHidHaarClassifier = packed record count: integer; // CvHaarFeature* orig_feature; node: pCvHidHaarTreeNode; alpha: pSingle; end; pCvHidHaarStageClassifier = ^TCvHidHaarStageClassifier; TCvHidHaarStageClassifier = packed record count: integer; threshold: Single; classifier: pCvHidHaarClassifier; two_rects: integer; next: pCvHidHaarStageClassifier; child: pCvHidHaarStageClassifier; parent: pCvHidHaarStageClassifier; end; TCvHidHaarClassifierCascade = packed record count: integer; isStumpBased: integer; has_tilted_features: integer; is_tree: integer; inv_window_area: Real; sum, sqsum, tilted: TCvMat; stage_classifier: pCvHidHaarStageClassifier; pq0, pq1, pq2, pq3: psqsumtype; p0, p1, p2, p3: psumtype; ipp_stages: pPointer; end; implementation end.