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bae9cef0b5
Moving RGBD parts to 3d * files moved from rgbd module in contrib repo * header paths fixed * perf file added * lapack compilation fixed * Rodrigues fixed in tests * rgbd namespace removed * headers fixed * initial: rgbd files moved to 3d module * rgbd updated from latest contrib master; less file duplication * "std::" for sin(), cos(), etc. * KinFu family -> back to contrib * paths & namespaces * removed duplicates, file version updated * namespace kinfu removed from 3d module * forgot to move test_colored_kinfu.cpp to contrib * tests fixed: Params removed * kinfu namespace removed * it works without objc bindings * include headers fixed * tests: data paths fixed * headers moved to/from public API * Intr -> Matx33f in public API * from kinfu_frame.hpp to utils.hpp * submap: Intr -> Matx33f, HashTSDFVolume -> Volume; no extra headers * no RgbdFrame class, no Mat fields & arg -> InputArray & pImpl * get/setPyramidAt() instead of lots of methods * Mat -> InputArray, TMat * prepareFrameCache: refactored * FastICPOdometry: +truncate threshold, +depthFactor; Mat/UMat choose * Mat/UMat choose * minor stuff related to headers * (un)signed int warnings; compilation minor issues * minors: submap: pyramids -> OdometryFrame; tests fix; FastICP minor; CV_EXPORTS_W for kinfu_frame.hpp * FastICPOdometry: caching, rgbCameraMatrix * OdometryFrame: pyramid%s% -> pyramids[] * drop: rgbCameraMatrix from FastICP, RGB cache mode, makeColoredFrameFrom depth and all color-functions it calls * makeFrameFromDepth, buildPyramidPointsNormals -> from public to internal utils.hpp * minors * FastICPOdometry: caching updated, init fields * OdometryFrameImpl<UMat> fixed * matrix building fixed; minors * returning linemode back to contrib * params.pose is Mat now * precomp headers reorganized * minor fixes, header paths, extra header removed * minors: intrinsics -> utils.hpp; whitespaces; empty namespace; warning fixed * moving declarations from/to headers * internal headers reorganized (once again) * fix include * extra var fix * fix include, fix (un)singed warning * calibration.cpp: reverting back * headers fix * workaround to fix bindings * temporary removed wrappers * VolumeType -> VolumeParams * (temporarily) removing wrappers for Volume and VolumeParams * pyopencv_linemod -> contrib * try to fix test_rgbd.py * headers fixed * fixing wrappers for rgbd * fixing docs * fixing rgbdPlane * RgbdNormals wrapped * wrap Volume and VolumeParams, VolumeType from enum to int * DepthCleaner wrapped * header folder "rgbd" -> "3d" * fixing header path * VolumeParams referenced by Ptr to support Python wrappers * render...() fixed * Ptr<VolumeParams> fixed * makeVolume(... resolution -> [X, Y, Z]) * fixing static declaration * try to fix ios objc bindings * OdometryFrame::release...() removed * fix for Odometry algos not supporting UMats: prepareFrameCache<>() * preparePyramidMask(): fix to compile with TMat = UMat * fixing debug guards * removing references back; adding makeOdometryFrame() instead * fixing OpenCL ICP hanging (some threads exit before reaching the barrier -> the rest threads hang) * try to fix objc wrapper warnings; rerun builders * VolumeType -> VolumeKind * try to fix OCL bug * prints removed * indentation fixed * headers fixed * license fix * WillowGarage licence notion removed, since it's in OpenCV's COPYRIGHT already * KinFu license notion shortened * debugging code removed * include guards fixed * KinFu license left in contrib module * isValidDepth() moved to private header * indentation fix * indentation fix in src files * RgbdNormals rewritten to pImpl * minor * DepthCleaner removed due to low code quality, no depthScale provided, no depth images found to be successfully filtered; can be replaced by bilateral filtering * minors, indentation * no "private" in public headers * depthTo3d test moved from separate file * Normals: setDepth() is useless, removing it * RgbdPlane => findPlanes() * rescaleDepth(): minor * warpFrame: minor * minor TODO * all Odometries (except base abstract class) rewritten to pImpl * FastICPOdometry now supports maxRotation and maxTranslation * minor * Odometry's children: now checks are done in setters * get rid of protected members in Odometry class * get/set cameraMatrix, transformType, maxRot/Trans, iters, minGradients -> OdometryImpl * cameraMatrix: from double to float * matrix exponentiation: Eigen -> dual quaternions * Odometry evaluation fixed to reuse existing code * "small" macro fixed by undef * pixNorm is calculated on CPU only now (and then uploads on GPU) * test registration: no cvtest classes * test RgbdNormals and findPlanes(): no cvtest classes * test_rgbd.py: minor fix * tests for Odometry: no cvtest classes; UMat tests; logging fixed * more CV_OVERRIDE to overriden functions * fixing nondependent names to dependent * more to prev commit * forgotten fixes: overriden functions, (non)dependent names * FastICPOdometry: fix UMat support when OpenCL is off * try to fix compilation: missing namespaces * Odometry: static const-mimicking functions to internal constants * forgotten change to prev commit * more forgotten fixes * do not expose "submap.hpp" by default * in-class enums: give names, CamelCase, int=>enums; minors * namespaces, underscores, String * std::map is used by pose graph, adding it * compute()'s signature fixed, computeImpl()'s too * RgbdNormals: Mat -> InputArray * depth.hpp: Mat -> InputArray * cameraMatrix: Matx33f -> InputArray + default value + checks * "details" headers are not visible by default * TSDF tests: rearranging checks * cameraMatrix: no (realistic) default value * renderPointsNormals*(): no wrappers for them * debug: assert on empty frame in TSDF tests * debugging code for TSDF GPU * debug from integrate to raycast * no (non-zero) default camera matrix anymore * drop debugging code (does not help) * try to fix TSDF GPU: constant -> global const ptr
332 lines
13 KiB
C++
332 lines
13 KiB
C++
/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "test_precomp.hpp"
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#include "test_chessboardgenerator.hpp"
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namespace cv {
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ChessBoardGenerator::ChessBoardGenerator(const Size& _patternSize) : sensorWidth(32), sensorHeight(24),
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squareEdgePointsNum(200), min_cos(std::sqrt(3.f)*0.5f), cov(0.5),
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patternSize(_patternSize), rendererResolutionMultiplier(4), tvec(Mat::zeros(1, 3, CV_32F))
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{
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rvec.create(3, 1, CV_32F);
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Rodrigues(Mat::eye(3, 3, CV_32F), rvec);
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}
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void ChessBoardGenerator::generateEdge(const Point3f& p1, const Point3f& p2, vector<Point3f>& out) const
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{
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Point3f step = (p2 - p1) * (1.f/squareEdgePointsNum);
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for(size_t n = 0; n < squareEdgePointsNum; ++n)
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out.push_back( p1 + step * (float)n);
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}
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Size ChessBoardGenerator::cornersSize() const
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{
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return Size(patternSize.width-1, patternSize.height-1);
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}
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struct Mult
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{
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float m;
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Mult(int mult) : m((float)mult) {}
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Point2f operator()(const Point2f& p)const { return p * m; }
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};
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void ChessBoardGenerator::generateBasis(Point3f& pb1, Point3f& pb2) const
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{
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RNG& rng = theRNG();
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Vec3f n;
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for(;;)
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{
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n[0] = rng.uniform(-1.f, 1.f);
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n[1] = rng.uniform(-1.f, 1.f);
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n[2] = rng.uniform(0.0f, 1.f);
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float len = (float)norm(n);
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if (len < 1e-3)
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continue;
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n[0]/=len;
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n[1]/=len;
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n[2]/=len;
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if (n[2] > min_cos)
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break;
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}
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Vec3f n_temp = n; n_temp[0] += 100;
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Vec3f b1 = n.cross(n_temp);
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Vec3f b2 = n.cross(b1);
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float len_b1 = (float)norm(b1);
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float len_b2 = (float)norm(b2);
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pb1 = Point3f(b1[0]/len_b1, b1[1]/len_b1, b1[2]/len_b1);
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pb2 = Point3f(b2[0]/len_b1, b2[1]/len_b2, b2[2]/len_b2);
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}
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Mat ChessBoardGenerator::generateChessBoard(const Mat& bg, const Mat& camMat, const Mat& distCoeffs,
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const Point3f& zero, const Point3f& pb1, const Point3f& pb2,
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float sqWidth, float sqHeight, const vector<Point3f>& whole,
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vector<Point2f>& corners) const
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{
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vector< vector<Point> > squares_black;
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for(int i = 0; i < patternSize.width; ++i)
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for(int j = 0; j < patternSize.height; ++j)
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if ( (i % 2 == 0 && j % 2 == 0) || (i % 2 != 0 && j % 2 != 0) )
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{
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vector<Point3f> pts_square3d;
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vector<Point2f> pts_square2d;
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Point3f p1 = zero + (i + 0) * sqWidth * pb1 + (j + 0) * sqHeight * pb2;
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Point3f p2 = zero + (i + 1) * sqWidth * pb1 + (j + 0) * sqHeight * pb2;
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Point3f p3 = zero + (i + 1) * sqWidth * pb1 + (j + 1) * sqHeight * pb2;
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Point3f p4 = zero + (i + 0) * sqWidth * pb1 + (j + 1) * sqHeight * pb2;
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generateEdge(p1, p2, pts_square3d);
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generateEdge(p2, p3, pts_square3d);
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generateEdge(p3, p4, pts_square3d);
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generateEdge(p4, p1, pts_square3d);
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projectPoints(pts_square3d, rvec, tvec, camMat, distCoeffs, pts_square2d);
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squares_black.resize(squares_black.size() + 1);
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vector<Point2f> temp;
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approxPolyDP(pts_square2d, temp, 1.0, true);
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transform(temp.begin(), temp.end(), back_inserter(squares_black.back()), Mult(rendererResolutionMultiplier));
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}
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/* calculate corners */
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corners3d.clear();
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for(int j = 0; j < patternSize.height - 1; ++j)
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for(int i = 0; i < patternSize.width - 1; ++i)
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corners3d.push_back(zero + (i + 1) * sqWidth * pb1 + (j + 1) * sqHeight * pb2);
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corners.clear();
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projectPoints(corners3d, rvec, tvec, camMat, distCoeffs, corners);
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vector<Point3f> whole3d;
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vector<Point2f> whole2d;
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generateEdge(whole[0], whole[1], whole3d);
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generateEdge(whole[1], whole[2], whole3d);
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generateEdge(whole[2], whole[3], whole3d);
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generateEdge(whole[3], whole[0], whole3d);
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projectPoints(whole3d, rvec, tvec, camMat, distCoeffs, whole2d);
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vector<Point2f> temp_whole2d;
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approxPolyDP(whole2d, temp_whole2d, 1.0, true);
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vector< vector<Point > > whole_contour(1);
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transform(temp_whole2d.begin(), temp_whole2d.end(),
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back_inserter(whole_contour.front()), Mult(rendererResolutionMultiplier));
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Mat result;
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if (rendererResolutionMultiplier == 1)
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{
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result = bg.clone();
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drawContours(result, whole_contour, -1, Scalar::all(255), FILLED, LINE_AA);
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drawContours(result, squares_black, -1, Scalar::all(0), FILLED, LINE_AA);
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}
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else
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{
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Mat tmp;
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resize(bg, tmp, bg.size() * rendererResolutionMultiplier, 0, 0, INTER_LINEAR_EXACT);
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drawContours(tmp, whole_contour, -1, Scalar::all(255), FILLED, LINE_AA);
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drawContours(tmp, squares_black, -1, Scalar::all(0), FILLED, LINE_AA);
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resize(tmp, result, bg.size(), 0, 0, INTER_AREA);
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}
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return result;
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}
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Mat ChessBoardGenerator::operator ()(const Mat& bg, const Mat& camMat, const Mat& distCoeffs, vector<Point2f>& corners) const
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{
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cov = std::min(cov, 0.8);
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double fovx, fovy, focalLen;
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Point2d principalPoint;
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double aspect;
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calibrationMatrixValues( camMat, bg.size(), sensorWidth, sensorHeight,
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fovx, fovy, focalLen, principalPoint, aspect);
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RNG& rng = theRNG();
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float d1 = static_cast<float>(rng.uniform(0.1, 10.0));
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float ah = static_cast<float>(rng.uniform(-fovx/2 * cov, fovx/2 * cov) * CV_PI / 180);
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float av = static_cast<float>(rng.uniform(-fovy/2 * cov, fovy/2 * cov) * CV_PI / 180);
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Point3f p;
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p.z = std::cos(ah) * d1;
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p.x = std::sin(ah) * d1;
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p.y = p.z * std::tan(av);
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Point3f pb1, pb2;
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generateBasis(pb1, pb2);
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float cbHalfWidth = static_cast<float>(norm(p) * std::sin( std::min(fovx, fovy) * 0.5 * CV_PI / 180));
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float cbHalfHeight = cbHalfWidth * patternSize.height / patternSize.width;
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float cbHalfWidthEx = cbHalfWidth * ( patternSize.width + 1) / patternSize.width;
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float cbHalfHeightEx = cbHalfHeight * (patternSize.height + 1) / patternSize.height;
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vector<Point3f> pts3d(4);
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vector<Point2f> pts2d(4);
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for(;;)
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{
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pts3d[0] = p + pb1 * cbHalfWidthEx + cbHalfHeightEx * pb2;
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pts3d[1] = p + pb1 * cbHalfWidthEx - cbHalfHeightEx * pb2;
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pts3d[2] = p - pb1 * cbHalfWidthEx - cbHalfHeightEx * pb2;
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pts3d[3] = p - pb1 * cbHalfWidthEx + cbHalfHeightEx * pb2;
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/* can remake with better perf */
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projectPoints(pts3d, rvec, tvec, camMat, distCoeffs, pts2d);
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bool inrect1 = pts2d[0].x < bg.cols && pts2d[0].y < bg.rows && pts2d[0].x > 0 && pts2d[0].y > 0;
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bool inrect2 = pts2d[1].x < bg.cols && pts2d[1].y < bg.rows && pts2d[1].x > 0 && pts2d[1].y > 0;
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bool inrect3 = pts2d[2].x < bg.cols && pts2d[2].y < bg.rows && pts2d[2].x > 0 && pts2d[2].y > 0;
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bool inrect4 = pts2d[3].x < bg.cols && pts2d[3].y < bg.rows && pts2d[3].x > 0 && pts2d[3].y > 0;
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if (inrect1 && inrect2 && inrect3 && inrect4)
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break;
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cbHalfWidth*=0.8f;
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cbHalfHeight = cbHalfWidth * patternSize.height / patternSize.width;
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cbHalfWidthEx = cbHalfWidth * ( patternSize.width + 1) / patternSize.width;
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cbHalfHeightEx = cbHalfHeight * (patternSize.height + 1) / patternSize.height;
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}
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Point3f zero = p - pb1 * cbHalfWidth - cbHalfHeight * pb2;
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float sqWidth = 2 * cbHalfWidth/patternSize.width;
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float sqHeight = 2 * cbHalfHeight/patternSize.height;
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return generateChessBoard(bg, camMat, distCoeffs, zero, pb1, pb2, sqWidth, sqHeight, pts3d, corners);
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}
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Mat ChessBoardGenerator::operator ()(const Mat& bg, const Mat& camMat, const Mat& distCoeffs,
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const Size2f& squareSize, vector<Point2f>& corners) const
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{
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cov = std::min(cov, 0.8);
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double fovx, fovy, focalLen;
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Point2d principalPoint;
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double aspect;
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calibrationMatrixValues( camMat, bg.size(), sensorWidth, sensorHeight,
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fovx, fovy, focalLen, principalPoint, aspect);
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RNG& rng = theRNG();
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float d1 = static_cast<float>(rng.uniform(0.1, 10.0));
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float ah = static_cast<float>(rng.uniform(-fovx/2 * cov, fovx/2 * cov) * CV_PI / 180);
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float av = static_cast<float>(rng.uniform(-fovy/2 * cov, fovy/2 * cov) * CV_PI / 180);
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Point3f p;
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p.z = std::cos(ah) * d1;
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p.x = std::sin(ah) * d1;
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p.y = p.z * std::tan(av);
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Point3f pb1, pb2;
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generateBasis(pb1, pb2);
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float cbHalfWidth = squareSize.width * patternSize.width * 0.5f;
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float cbHalfHeight = squareSize.height * patternSize.height * 0.5f;
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float cbHalfWidthEx = cbHalfWidth * ( patternSize.width + 1) / patternSize.width;
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float cbHalfHeightEx = cbHalfHeight * (patternSize.height + 1) / patternSize.height;
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vector<Point3f> pts3d(4);
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vector<Point2f> pts2d(4);
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for(;;)
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{
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pts3d[0] = p + pb1 * cbHalfWidthEx + cbHalfHeightEx * pb2;
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pts3d[1] = p + pb1 * cbHalfWidthEx - cbHalfHeightEx * pb2;
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pts3d[2] = p - pb1 * cbHalfWidthEx - cbHalfHeightEx * pb2;
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pts3d[3] = p - pb1 * cbHalfWidthEx + cbHalfHeightEx * pb2;
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/* can remake with better perf */
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projectPoints(pts3d, rvec, tvec, camMat, distCoeffs, pts2d);
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bool inrect1 = pts2d[0].x < bg.cols && pts2d[0].y < bg.rows && pts2d[0].x > 0 && pts2d[0].y > 0;
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bool inrect2 = pts2d[1].x < bg.cols && pts2d[1].y < bg.rows && pts2d[1].x > 0 && pts2d[1].y > 0;
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bool inrect3 = pts2d[2].x < bg.cols && pts2d[2].y < bg.rows && pts2d[2].x > 0 && pts2d[2].y > 0;
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bool inrect4 = pts2d[3].x < bg.cols && pts2d[3].y < bg.rows && pts2d[3].x > 0 && pts2d[3].y > 0;
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if ( inrect1 && inrect2 && inrect3 && inrect4)
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break;
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p.z *= 1.1f;
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}
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Point3f zero = p - pb1 * cbHalfWidth - cbHalfHeight * pb2;
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return generateChessBoard(bg, camMat, distCoeffs, zero, pb1, pb2,
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squareSize.width, squareSize.height, pts3d, corners);
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}
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Mat ChessBoardGenerator::operator ()(const Mat& bg, const Mat& camMat, const Mat& distCoeffs,
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const Size2f& squareSize, const Point3f& pos, vector<Point2f>& corners) const
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{
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cov = std::min(cov, 0.8);
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Point3f p = pos;
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Point3f pb1, pb2;
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generateBasis(pb1, pb2);
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float cbHalfWidth = squareSize.width * patternSize.width * 0.5f;
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float cbHalfHeight = squareSize.height * patternSize.height * 0.5f;
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float cbHalfWidthEx = cbHalfWidth * ( patternSize.width + 1) / patternSize.width;
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float cbHalfHeightEx = cbHalfHeight * (patternSize.height + 1) / patternSize.height;
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vector<Point3f> pts3d(4);
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vector<Point2f> pts2d(4);
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pts3d[0] = p + pb1 * cbHalfWidthEx + cbHalfHeightEx * pb2;
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pts3d[1] = p + pb1 * cbHalfWidthEx - cbHalfHeightEx * pb2;
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pts3d[2] = p - pb1 * cbHalfWidthEx - cbHalfHeightEx * pb2;
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pts3d[3] = p - pb1 * cbHalfWidthEx + cbHalfHeightEx * pb2;
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/* can remake with better perf */
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projectPoints(pts3d, rvec, tvec, camMat, distCoeffs, pts2d);
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Point3f zero = p - pb1 * cbHalfWidth - cbHalfHeight * pb2;
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return generateChessBoard(bg, camMat, distCoeffs, zero, pb1, pb2,
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squareSize.width, squareSize.height, pts3d, corners);
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}
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} // namespace
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