style(camodocal): camodocal style
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@ -1,10 +1,23 @@
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#ifndef CAMERA_H
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#define CAMERA_H
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// Copyright 2018 Slightech Co., Ltd. All rights reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#ifndef SRC_MYNTEYE_API_CAMODOCAL_INCLUDE_CAMODOCAL_CAMERA_MODELS_CAMERA_H_
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#define SRC_MYNTEYE_API_CAMODOCAL_INCLUDE_CAMODOCAL_CAMERA_MODELS_CAMERA_H_
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#include <vector>
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#include <boost/shared_ptr.hpp>
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#include "eigen3/Eigen/Dense"
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#include <opencv2/core/core.hpp>
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#include <vector>
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namespace camodocal {
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@ -16,7 +29,7 @@ class Camera {
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class Parameters {
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public:
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EIGEN_MAKE_ALIGNED_OPERATOR_NEW
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Parameters(ModelType modelType);
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explicit Parameters(ModelType modelType);
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Parameters(
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ModelType modelType, const std::string &cameraName, int w, int h);
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@ -33,9 +46,6 @@ class Camera {
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int nIntrinsics(void) const;
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virtual bool readFromYamlFile(const std::string &filename) = 0;
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virtual void writeToYamlFile(const std::string &filename) const = 0;
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protected:
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ModelType m_modelType;
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int m_nIntrinsics;
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@ -58,50 +68,39 @@ class Camera {
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const std::vector<std::vector<cv::Point2f> > &imagePoints) = 0;
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virtual void estimateExtrinsics(
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const std::vector<cv::Point3f> &objectPoints,
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const std::vector<cv::Point2f> &imagePoints, cv::Mat &rvec,
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cv::Mat &tvec) const;
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// Lift points from the image plane to the sphere
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virtual void liftSphere(
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const Eigen::Vector2d &p, Eigen::Vector3d &P) const = 0;
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//%output P
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const std::vector<cv::Point2f> &imagePoints,
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cv::Mat &rvec, cv::Mat &tvec) const; // NOLINT
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// Lift points from the image plane to the projective space
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virtual void liftProjective(
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const Eigen::Vector2d &p, Eigen::Vector3d &P) const = 0;
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//%output P
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const Eigen::Vector2d &p, Eigen::Vector3d &P) const = 0; // NOLINT
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// %output P
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// Projects 3D points to the image plane (Pi function)
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virtual void spaceToPlane(
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const Eigen::Vector3d &P, Eigen::Vector2d &p) const = 0;
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//%output p
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const Eigen::Vector3d &P, Eigen::Vector2d &p) const = 0; // NOLINT
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// %output p
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// Projects 3D points to the image plane (Pi function)
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// and calculates jacobian
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// virtual void spaceToPlane(const Eigen::Vector3d& P, Eigen::Vector2d& p,
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// Eigen::Matrix<double,2,3>& J) const = 0;
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//%output p
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//%output J
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virtual void undistToPlane(
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const Eigen::Vector2d &p_u, Eigen::Vector2d &p) const = 0;
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//%output p
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// %output p
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// %output J
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// virtual void initUndistortMap(cv::Mat& map1, cv::Mat& map2, double fScale =
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// 1.0) const = 0;
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virtual cv::Mat initUndistortRectifyMap(
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cv::Mat &map1, cv::Mat &map2, float fx = -1.0f, float fy = -1.0f,
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cv::Mat &map1, cv::Mat &map2, float fx = -1.0f, float fy = -1.0f, // NOLINT
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cv::Size imageSize = cv::Size(0, 0), float cx = -1.0f, float cy = -1.0f,
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cv::Mat rmat = cv::Mat::eye(3, 3, CV_32F)) const = 0;
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virtual int parameterCount(void) const = 0;
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virtual void readParameters(const std::vector<double> ¶meters) = 0;
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virtual void writeParameters(std::vector<double> ¶meters) const = 0;
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virtual void writeParameters(std::vector<double> ¶meters) const = 0; // NOLINT
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virtual void writeParametersToYamlFile(const std::string &filename) const = 0;
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virtual std::string parametersToString(void) const = 0;
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virtual std::string parametersToString(void) const = 0; // NOLINT
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/**
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* \brief Calculates the reprojection distance between points
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@ -125,7 +124,7 @@ class Camera {
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void projectPoints(
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const std::vector<cv::Point3f> &objectPoints, const cv::Mat &rvec,
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const cv::Mat &tvec, std::vector<cv::Point2f> &imagePoints) const;
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const cv::Mat &tvec, std::vector<cv::Point2f> &imagePoints) const; // NOLINT
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protected:
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cv::Mat m_mask;
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@ -135,4 +134,5 @@ typedef boost::shared_ptr<Camera> CameraPtr;
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typedef boost::shared_ptr<const Camera> CameraConstPtr;
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}
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#endif
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#endif // SRC_MYNTEYE_API_CAMODOCAL_INCLUDE_CAMODOCAL_CAMERA_MODELS_CAMERA_H_
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#ifndef EQUIDISTANTCAMERA_H
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#define EQUIDISTANTCAMERA_H
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// Copyright 2018 Slightech Co., Ltd. All rights reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#ifndef SRC_MYNTEYE_API_CAMODOCAL_INCLUDE_CAMODOCAL_CAMERA_MODELS_EQUIDISTANTCAMERA_H_
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#define SRC_MYNTEYE_API_CAMODOCAL_INCLUDE_CAMODOCAL_CAMERA_MODELS_EQUIDISTANTCAMERA_H_
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#include <opencv2/core/core.hpp>
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#include <string>
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#include "Camera.h"
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#include <opencv2/core/core.hpp>
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namespace camodocal {
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@ -59,9 +71,6 @@ class EquidistantCamera : public Camera {
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double u0(void) const;
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double v0(void) const;
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bool readFromYamlFile(const std::string &filename);
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void writeToYamlFile(const std::string &filename) const;
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Parameters &operator=(const Parameters &other);
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friend std::ostream &operator<<(
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std::ostream &out, const Parameters ¶ms);
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@ -91,7 +100,7 @@ class EquidistantCamera : public Camera {
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/**
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* \brief Constructor from the projection model parameters
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*/
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EquidistantCamera(const Parameters ¶ms);
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explicit EquidistantCamera(const Parameters ¶ms);
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Camera::ModelType modelType(void) const;
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const std::string &cameraName(void) const;
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const std::vector<std::vector<cv::Point3f> > &objectPoints,
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const std::vector<std::vector<cv::Point2f> > &imagePoints);
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// Lift points from the image plane to the sphere
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virtual void liftSphere(const Eigen::Vector2d &p, Eigen::Vector3d &P) const;
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//%output P
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// Lift points from the image plane to the projective space
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void liftProjective(const Eigen::Vector2d &p, Eigen::Vector3d &P) const;
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//%output P
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void liftProjective(const Eigen::Vector2d &p, Eigen::Vector3d &P) const; // NOLINT
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// %output P
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// Projects 3D points to the image plane (Pi function)
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void spaceToPlane(const Eigen::Vector3d &P, Eigen::Vector2d &p) const;
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//%output p
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void spaceToPlane(const Eigen::Vector3d &P, Eigen::Vector2d &p) const; // NOLINT
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// %output p
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// Projects 3D points to the image plane (Pi function)
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// and calculates jacobian
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void spaceToPlane(
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const Eigen::Vector3d &P, Eigen::Vector2d &p,
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Eigen::Matrix<double, 2, 3> &J) const;
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//%output p
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//%output J
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void undistToPlane(const Eigen::Vector2d &p_u, Eigen::Vector2d &p) const;
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//%output p
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const Eigen::Vector3d &P, Eigen::Vector2d &p, // NOLINT
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Eigen::Matrix<double, 2, 3> &J) const; // NOLINT
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// %output p
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// %output J
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template <typename T>
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static void spaceToPlane(
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const T *const params, const T *const q, const T *const t,
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const Eigen::Matrix<T, 3, 1> &P, Eigen::Matrix<T, 2, 1> &p);
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const Eigen::Matrix<T, 3, 1> &P, Eigen::Matrix<T, 2, 1> &p); // NOLINT
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void initUndistortMap(
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cv::Mat &map1, cv::Mat &map2, double fScale = 1.0) const;
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cv::Mat &map1, cv::Mat &map2, double fScale = 1.0) const; // NOLINT
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cv::Mat initUndistortRectifyMap(
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cv::Mat &map1, cv::Mat &map2, float fx = -1.0f, float fy = -1.0f,
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cv::Mat &map1, cv::Mat &map2, float fx = -1.0f, float fy = -1.0f, // NOLINT
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cv::Size imageSize = cv::Size(0, 0), float cx = -1.0f, float cy = -1.0f,
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cv::Mat rmat = cv::Mat::eye(3, 3, CV_32F)) const;
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@ -144,9 +146,7 @@ class EquidistantCamera : public Camera {
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void setParameters(const Parameters ¶meters);
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void readParameters(const std::vector<double> ¶meterVec);
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void writeParameters(std::vector<double> ¶meterVec) const;
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void writeParametersToYamlFile(const std::string &filename) const;
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void writeParameters(std::vector<double> ¶meterVec) const; // NOLINT
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std::string parametersToString(void) const;
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@ -156,10 +156,10 @@ class EquidistantCamera : public Camera {
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void fitOddPoly(
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const std::vector<double> &x, const std::vector<double> &y, int n,
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std::vector<double> &coeffs) const;
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std::vector<double> &coeffs) const; // NOLINT
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void backprojectSymmetric(
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const Eigen::Vector2d &p_u, double &theta, double &phi) const;
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const Eigen::Vector2d &p_u, double &theta, double &phi) const; // NOLINT
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Parameters mParameters;
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@ -227,4 +227,5 @@ void EquidistantCamera::spaceToPlane(
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}
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}
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#endif
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#endif // SRC_MYNTEYE_API_CAMODOCAL_INCLUDE_CAMODOCAL_CAMERA_MODELS_EQUIDISTANTCAMERA_H_
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#ifndef GPL_H
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#define GPL_H
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// Copyright 2018 Slightech Co., Ltd. All rights reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#ifndef SRC_MYNTEYE_API_CAMODOCAL_INCLUDE_CAMODOCAL_GPL_GPL_H_
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#define SRC_MYNTEYE_API_CAMODOCAL_INCLUDE_CAMODOCAL_GPL_GPL_H_
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#include <vector>
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#include <algorithm>
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#include <cmath>
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#include <opencv2/core/core.hpp>
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template <class T>
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const T random(const T &a, const T &b) {
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return static_cast<double>(rand()) / RAND_MAX * (b - a) + a;
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return static_cast<double>(rand()) / RAND_MAX * (b - a) + a; // NOLINT
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}
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template <class T>
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@ -66,35 +80,36 @@ const T randomNormal(const T &sigma) {
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return x1 * w * sigma;
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}
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unsigned long long timeInMicroseconds(void);
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unsigned long long timeInMicroseconds(void); // NOLINT
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double timeInSeconds(void);
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void colorDepthImage(
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cv::Mat &imgDepth, cv::Mat &imgColoredDepth, float minRange,
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cv::Mat &imgDepth, cv::Mat &imgColoredDepth, float minRange, // NOLINT
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float maxRange);
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bool colormap(
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const std::string &name, unsigned char idx, float &r, float &g, float &b);
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const std::string &name, unsigned char idx, float &r, float &g, float &b); // NOLINT
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std::vector<cv::Point2i> bresLine(int x0, int y0, int x1, int y1);
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std::vector<cv::Point2i> bresCircle(int x0, int y0, int r);
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void fitCircle(
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const std::vector<cv::Point2d> &points, double ¢erX, double ¢erY,
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double &radius);
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const std::vector<cv::Point2d> &points, double ¢erX, double ¢erY, // NOLINT
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double &radius); // NOLINT
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std::vector<cv::Point2d> intersectCircles(
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double x1, double y1, double r1, double x2, double y2, double r2);
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void LLtoUTM(
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double latitude, double longitude, double &utmNorthing, double &utmEasting,
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std::string &utmZone);
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double latitude, double longitude, double &utmNorthing, double &utmEasting, // NOLINT
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std::string &utmZone); // NOLINT
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void UTMtoLL(
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double utmNorthing, double utmEasting, const std::string &utmZone,
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double &latitude, double &longitude);
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double utmNorthing, double utmEasting, const std::string &utmZone, // NOLINT
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double &latitude, double &longitude); // NOLINT
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long int timestampDiff(uint64_t t1, uint64_t t2);
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long int timestampDiff(uint64_t t1, uint64_t t2); // NOLINT
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}
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#endif
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#endif // SRC_MYNTEYE_API_CAMODOCAL_INCLUDE_CAMODOCAL_GPL_GPL_H_
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#include "camodocal/camera_models/Camera.h"
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// Copyright 2018 Slightech Co., Ltd. All rights reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include <opencv2/calib3d/calib3d.hpp>
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#include "camodocal/camera_models/Camera.h"
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namespace camodocal {
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#include "camodocal/camera_models/EquidistantCamera.h"
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// Copyright 2018 Slightech Co., Ltd. All rights reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include <iomanip>
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#include <iostream>
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#include <cstdint>
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#include <cmath>
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#include <cstdio>
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#include "camodocal/camera_models/EquidistantCamera.h"
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#include "eigen3/Eigen/Dense"
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#include <iomanip>
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#include <iostream>
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#include <opencv2/calib3d/calib3d.hpp>
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#include <opencv2/core/eigen.hpp>
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#include <opencv2/imgproc/imgproc.hpp>
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#include "camodocal/gpl/gpl.h"
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namespace camodocal {
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@ -19,37 +31,41 @@ float ApproxAtan2(float y, float x)
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const float n1 = 0.97239411f;
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const float n2 = -0.19194795f;
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float result = 0.0f;
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if (x != 0.0f)
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{
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const union { float flVal; std::uint32_t nVal; } tYSign = { y };
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const union { float flVal; std::uint32_t nVal; } tXSign = { x };
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if (fabsf(x) >= fabsf(y))
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{
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union { float flVal; std::uint32_t nVal; } tOffset = { PI };
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// Add or subtract PI based on y's sign.
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tOffset.nVal |= tYSign.nVal & 0x80000000u;
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// No offset if x is positive, so multiply by 0 or based on x's sign.
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tOffset.nVal *= tXSign.nVal >> 31;
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result = tOffset.flVal;
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const float z = y / x;
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result += (n1 + n2 * z * z) * z;
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if (x != 0.0f) {
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const union {
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float flVal;
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std::uint32_t nVal;
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} tYSign = { y };
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const union {
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float flVal;
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std::uint32_t nVal;
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} tXSign = { x };
|
||||
if (fabsf(x) >= fabsf(y)) {
|
||||
union {
|
||||
float flVal;
|
||||
std::uint32_t nVal;
|
||||
} tOffset = { PI };
|
||||
// Add or subtract PI based on y's sign.
|
||||
tOffset.nVal |= tYSign.nVal & 0x80000000u;
|
||||
// No offset if x is positive, so multiply by 0 or based on x's sign.
|
||||
tOffset.nVal *= tXSign.nVal >> 31;
|
||||
result = tOffset.flVal;
|
||||
const float z = y / x;
|
||||
result += (n1 + n2 * z * z) * z;
|
||||
} else { // Use atan(y/x) = pi/2 - atan(x/y) if |y/x| > 1. n
|
||||
union {
|
||||
float flVal;
|
||||
std::uint32_t nVal;
|
||||
} tOffset = { PI_2 };
|
||||
// Add or subtract PI/2 based on y's sign.
|
||||
tOffset.nVal |= tYSign.nVal & 0x80000000u;
|
||||
result = tOffset.flVal;
|
||||
const float z = x / y;
|
||||
result -= (n1 + n2 * z * z) * z;
|
||||
}
|
||||
else // Use atan(y/x) = pi/2 - atan(x/y) if |y/x| > 1.
|
||||
{
|
||||
union { float flVal; std::uint32_t nVal; } tOffset = { PI_2 };
|
||||
// Add or subtract PI/2 based on y's sign.
|
||||
tOffset.nVal |= tYSign.nVal & 0x80000000u;
|
||||
result = tOffset.flVal;
|
||||
const float z = x / y;
|
||||
result -= (n1 + n2 * z * z) * z;
|
||||
}
|
||||
}
|
||||
else if (y > 0.0f)
|
||||
{
|
||||
} else if (y > 0.0f) {
|
||||
result = PI_2;
|
||||
}
|
||||
else if (y < 0.0f)
|
||||
{
|
||||
} else if (y < 0.0f) {
|
||||
result = -PI_2;
|
||||
}
|
||||
return result;
|
||||
|
@ -143,60 +159,6 @@ double EquidistantCamera::Parameters::v0(void) const {
|
|||
return m_v0;
|
||||
}
|
||||
|
||||
bool EquidistantCamera::Parameters::readFromYamlFile(
|
||||
const std::string &filename) {
|
||||
cv::FileStorage fs(filename, cv::FileStorage::READ);
|
||||
|
||||
if (!fs.isOpened()) {
|
||||
return false;
|
||||
}
|
||||
|
||||
if (!fs["model_type"].isNone()) {
|
||||
std::string sModelType;
|
||||
fs["model_type"] >> sModelType;
|
||||
|
||||
if (sModelType.compare("KANNALA_BRANDT") != 0) {
|
||||
return false;
|
||||
}
|
||||
}
|
||||
|
||||
m_modelType = KANNALA_BRANDT;
|
||||
fs["camera_name"] >> m_cameraName;
|
||||
m_imageWidth = static_cast<int>(fs["image_width"]);
|
||||
m_imageHeight = static_cast<int>(fs["image_height"]);
|
||||
|
||||
cv::FileNode n = fs["projection_parameters"];
|
||||
m_k2 = static_cast<double>(n["k2"]);
|
||||
m_k3 = static_cast<double>(n["k3"]);
|
||||
m_k4 = static_cast<double>(n["k4"]);
|
||||
m_k5 = static_cast<double>(n["k5"]);
|
||||
m_mu = static_cast<double>(n["mu"]);
|
||||
m_mv = static_cast<double>(n["mv"]);
|
||||
m_u0 = static_cast<double>(n["u0"]);
|
||||
m_v0 = static_cast<double>(n["v0"]);
|
||||
|
||||
return true;
|
||||
}
|
||||
|
||||
void EquidistantCamera::Parameters::writeToYamlFile(
|
||||
const std::string &filename) const {
|
||||
cv::FileStorage fs(filename, cv::FileStorage::WRITE);
|
||||
|
||||
fs << "model_type"
|
||||
<< "KANNALA_BRANDT";
|
||||
fs << "camera_name" << m_cameraName;
|
||||
fs << "image_width" << m_imageWidth;
|
||||
fs << "image_height" << m_imageHeight;
|
||||
|
||||
// projection: k2, k3, k4, k5, mu, mv, u0, v0
|
||||
fs << "projection_parameters";
|
||||
fs << "{"
|
||||
<< "k2" << m_k2 << "k3" << m_k3 << "k4" << m_k4 << "k5" << m_k5 << "mu"
|
||||
<< m_mu << "mv" << m_mv << "u0" << m_u0 << "v0" << m_v0 << "}";
|
||||
|
||||
fs.release();
|
||||
}
|
||||
|
||||
EquidistantCamera::Parameters &EquidistantCamera::Parameters::operator=(
|
||||
const EquidistantCamera::Parameters &other) {
|
||||
if (this != &other) {
|
||||
|
@ -313,7 +275,7 @@ void EquidistantCamera::estimateIntrinsics(
|
|||
double f0 = 0.0;
|
||||
for (size_t i = 0; i < imagePoints.size(); ++i) {
|
||||
std::vector<Eigen::Vector2d> center(boardSize.height);
|
||||
double radius[boardSize.height];
|
||||
double radius[boardSize.height]; // NOLINT
|
||||
for (int r = 0; r < boardSize.height; ++r) {
|
||||
std::vector<cv::Point2d> circle;
|
||||
for (int c = 0; c < boardSize.width; ++c) {
|
||||
|
@ -373,17 +335,6 @@ void EquidistantCamera::estimateIntrinsics(
|
|||
setParameters(params);
|
||||
}
|
||||
|
||||
/**
|
||||
* \brief Lifts a point from the image plane to the unit sphere
|
||||
*
|
||||
* \param p image coordinates
|
||||
* \param P coordinates of the point on the sphere
|
||||
*/
|
||||
void EquidistantCamera::liftSphere(
|
||||
const Eigen::Vector2d &p, Eigen::Vector3d &P) const {
|
||||
liftProjective(p, P);
|
||||
}
|
||||
|
||||
/**
|
||||
* \brief Lifts a point from the image plane to its projective ray
|
||||
*
|
||||
|
@ -413,15 +364,15 @@ void EquidistantCamera::liftProjective(
|
|||
*/
|
||||
void EquidistantCamera::spaceToPlane(
|
||||
const Eigen::Vector3d &P, Eigen::Vector2d &p) const {
|
||||
// double theta = acos(0.5);
|
||||
//double theta = 0.5;
|
||||
// double phi = 0.5;
|
||||
// Eigen::Vector2d p_u = r(mParameters.k2(), mParameters.k3(), mParameters.k4(),
|
||||
// mParameters.k5(), theta) *
|
||||
// Eigen::Vector2d(cos(0.5), sin(0.5));
|
||||
// double theta = acos(0.5);
|
||||
// double theta = 0.5;
|
||||
// double phi = 0.5;
|
||||
// Eigen::Vector2d p_u = r(mParameters.k2(), mParameters.k3(), mParameters.k4(),
|
||||
// mParameters.k5(), theta) *
|
||||
// Eigen::Vector2d(cos(0.5), sin(0.5));
|
||||
double theta = acos(P(2) / P.norm());
|
||||
double phi = atan2(P(1), P(0));
|
||||
//double phi = ApproxAtan2(P(1), P(0));
|
||||
// double phi = ApproxAtan2(P(1), P(0));
|
||||
|
||||
Eigen::Vector2d p_u = r(mParameters.k2(), mParameters.k3(), mParameters.k4(),
|
||||
mParameters.k5(), theta) *
|
||||
|
@ -453,33 +404,6 @@ void EquidistantCamera::spaceToPlane(
|
|||
mParameters.mv() * p_u(1) + mParameters.v0();
|
||||
}
|
||||
|
||||
/**
|
||||
* \brief Projects an undistorted 2D point p_u to the image plane
|
||||
*
|
||||
* \param p_u 2D point coordinates
|
||||
* \return image point coordinates
|
||||
*/
|
||||
void EquidistantCamera::undistToPlane(
|
||||
const Eigen::Vector2d &p_u, Eigen::Vector2d &p) const {
|
||||
// Eigen::Vector2d p_d;
|
||||
//
|
||||
// if (m_noDistortion)
|
||||
// {
|
||||
// p_d = p_u;
|
||||
// }
|
||||
// else
|
||||
// {
|
||||
// // Apply distortion
|
||||
// Eigen::Vector2d d_u;
|
||||
// distortion(p_u, d_u);
|
||||
// p_d = p_u + d_u;
|
||||
// }
|
||||
//
|
||||
// // Apply generalised projection matrix
|
||||
// p << mParameters.gamma1() * p_d(0) + mParameters.u0(),
|
||||
// mParameters.gamma2() * p_d(1) + mParameters.v0();
|
||||
}
|
||||
|
||||
void EquidistantCamera::initUndistortMap(
|
||||
cv::Mat &map1, cv::Mat &map2, double fScale) const {
|
||||
cv::Size imageSize(mParameters.imageWidth(), mParameters.imageHeight());
|
||||
|
@ -613,11 +537,6 @@ void EquidistantCamera::writeParameters(
|
|||
parameterVec.at(7) = mParameters.v0();
|
||||
}
|
||||
|
||||
void EquidistantCamera::writeParametersToYamlFile(
|
||||
const std::string &filename) const {
|
||||
mParameters.writeToYamlFile(filename);
|
||||
}
|
||||
|
||||
std::string EquidistantCamera::parametersToString(void) const {
|
||||
std::ostringstream oss;
|
||||
oss << mParameters;
|
||||
|
@ -730,4 +649,4 @@ void EquidistantCamera::backprojectSymmetric(
|
|||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
} // namespace camodocal
|
||||
|
|
|
@ -1,3 +1,16 @@
|
|||
// Copyright 2018 Slightech Co., Ltd. All rights reserved.
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
#include "camodocal/gpl/gpl.h"
|
||||
|
||||
#include <set>
|
||||
|
@ -112,15 +125,15 @@ int clock_gettime(int X, struct timespec *tp) {
|
|||
if (usePerformanceCounter) {
|
||||
QueryPerformanceCounter(&offset);
|
||||
frequencyToMicroseconds =
|
||||
(double)performanceFrequency.QuadPart / 1000000.;
|
||||
static_cast<double>(performanceFrequency.QuadPart / 1000000.);
|
||||
} else {
|
||||
offset = getFILETIMEoffset();
|
||||
frequencyToMicroseconds = 10.;
|
||||
}
|
||||
}
|
||||
if (usePerformanceCounter)
|
||||
if (usePerformanceCounter) {
|
||||
QueryPerformanceCounter(&t);
|
||||
else {
|
||||
} else {
|
||||
GetSystemTimeAsFileTime(&f);
|
||||
t.QuadPart = f.dwHighDateTime;
|
||||
t.QuadPart <<= 32;
|
||||
|
@ -128,7 +141,7 @@ int clock_gettime(int X, struct timespec *tp) {
|
|||
}
|
||||
|
||||
t.QuadPart -= offset.QuadPart;
|
||||
microseconds = (double)t.QuadPart / frequencyToMicroseconds;
|
||||
microseconds = static_cast<double>(t.QuadPart / frequencyToMicroseconds);
|
||||
t.QuadPart = microseconds;
|
||||
tp->tv_sec = t.QuadPart / 1000000;
|
||||
tp->tv_nsec = (t.QuadPart % 1000000) * 1000;
|
||||
|
@ -136,7 +149,7 @@ int clock_gettime(int X, struct timespec *tp) {
|
|||
}
|
||||
#endif
|
||||
|
||||
unsigned long long timeInMicroseconds(void) {
|
||||
unsigned long long timeInMicroseconds(void) { // NOLINT
|
||||
struct timespec tp;
|
||||
#ifdef __APPLE__
|
||||
tp = orwl_gettime();
|
||||
|
@ -271,7 +284,7 @@ float colormapJet[128][3] = {
|
|||
{0.53125f, 0.0f, 0.0f}, {0.5f, 0.0f, 0.0f}};
|
||||
|
||||
void colorDepthImage(
|
||||
cv::Mat &imgDepth, cv::Mat &imgColoredDepth, float minRange,
|
||||
cv::Mat &imgDepth, cv::Mat &imgColoredDepth, float minRange, // NOLINT
|
||||
float maxRange) {
|
||||
imgColoredDepth = cv::Mat::zeros(imgDepth.size(), CV_8UC3);
|
||||
|
||||
|
@ -295,7 +308,7 @@ void colorDepthImage(
|
|||
}
|
||||
|
||||
bool colormap(
|
||||
const std::string &name, unsigned char idx, float &r, float &g, float &b) {
|
||||
const std::string &name, unsigned char idx, float &r, float &g, float &b) { // NOLINT
|
||||
if (name.compare("jet") == 0) {
|
||||
float *color = colormapJet[idx];
|
||||
|
||||
|
@ -434,8 +447,8 @@ std::vector<cv::Point2i> bresCircle(int x0, int y0, int r) {
|
|||
}
|
||||
|
||||
void fitCircle(
|
||||
const std::vector<cv::Point2d> &points, double ¢erX, double ¢erY,
|
||||
double &radius) {
|
||||
const std::vector<cv::Point2d> &points, double ¢erX, double ¢erY, // NOLINT
|
||||
double &radius) { // NOLINT
|
||||
// D. Umbach, and K. Jones, A Few Methods for Fitting Circles to Data,
|
||||
// IEEE Transactions on Instrumentation and Measurement, 2000
|
||||
// We use the modified least squares method.
|
||||
|
@ -573,8 +586,8 @@ char UTMLetterDesignator(double latitude) {
|
|||
}
|
||||
|
||||
void LLtoUTM(
|
||||
double latitude, double longitude, double &utmNorthing, double &utmEasting,
|
||||
std::string &utmZone) {
|
||||
double latitude, double longitude, double &utmNorthing, double &utmEasting, // NOLINT
|
||||
std::string &utmZone) { // NOLINT
|
||||
// converts lat/long to UTM coords. Equations from USGS Bulletin 1532
|
||||
// East Longitudes are positive, West longitudes are negative.
|
||||
// North latitudes are positive, South latitudes are negative
|
||||
|
@ -610,7 +623,7 @@ void LLtoUTM(
|
|||
ZoneNumber = 37;
|
||||
}
|
||||
LongOrigin = static_cast<double>(
|
||||
(ZoneNumber - 1) * 6 - 180 + 3); //+3 puts origin in middle of zone
|
||||
(ZoneNumber - 1) * 6 - 180 + 3); // +3 puts origin in middle of zone
|
||||
LongOriginRad = LongOrigin * M_PI / 180.0;
|
||||
|
||||
// compute the UTM Zone from the latitude and longitude
|
||||
|
@ -659,7 +672,7 @@ void LLtoUTM(
|
|||
|
||||
void UTMtoLL(
|
||||
double utmNorthing, double utmEasting, const std::string &utmZone,
|
||||
double &latitude, double &longitude) {
|
||||
double &latitude, double &longitude) { // NOLINT
|
||||
// converts UTM coords to lat/long. Equations from USGS Bulletin 1532
|
||||
// East Longitudes are positive, West longitudes are negative.
|
||||
// North latitudes are positive, South latitudes are negative
|
||||
|
@ -691,7 +704,7 @@ void UTMtoLL(
|
|||
}
|
||||
|
||||
LongOrigin = (ZoneNumber - 1.0) * 6.0 - 180.0 +
|
||||
3.0; //+3 puts origin in middle of zone
|
||||
3.0; // +3 puts origin in middle of zone
|
||||
|
||||
eccPrimeSquared = WGS84_ECCSQ / (1.0 - WGS84_ECCSQ);
|
||||
|
||||
|
@ -732,22 +745,22 @@ void UTMtoLL(
|
|||
longitude = LongOrigin + longitude / M_PI * 180.0;
|
||||
}
|
||||
|
||||
long int timestampDiff(uint64_t t1, uint64_t t2) {
|
||||
long int timestampDiff(uint64_t t1, uint64_t t2) { // NOLINT
|
||||
if (t2 > t1) {
|
||||
uint64_t d = t2 - t1;
|
||||
|
||||
if (d > std::numeric_limits<long int>::max()) {
|
||||
return std::numeric_limits<long int>::max();
|
||||
if (d > std::numeric_limits<long int>::max()) { // NOLINT
|
||||
return std::numeric_limits<long int>::max(); // NOLINT
|
||||
} else {
|
||||
return d;
|
||||
}
|
||||
} else {
|
||||
uint64_t d = t1 - t2;
|
||||
|
||||
if (d > std::numeric_limits<long int>::max()) {
|
||||
return std::numeric_limits<long int>::min();
|
||||
if (d > std::numeric_limits<long int>::max()) { // NOLINT
|
||||
return std::numeric_limits<long int>::min(); // NOLINT
|
||||
} else {
|
||||
return -static_cast<long int>(d);
|
||||
return -static_cast<long int>(d); // NOLINT
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
Loading…
Reference in New Issue
Block a user