Namespaces | |
| namespace | chainermodels |
| namespace | conversations |
| namespace | depth |
| namespace | feature |
| namespace | geometry |
| namespace | mask |
| namespace | visualize |
Classes | |
| class | CameraDepthSensor |
| class | ConvexPolygon |
| class | Counter |
| class | Cube |
| class | Cylinder |
| class | GridIndex |
| class | GridLine |
| class | GridMap |
| class | GridPlane |
| Grid based representation of planar region. More... | |
| class | Line |
| Class to represent 3-D straight line. More... | |
| class | Plane |
| class | PointCloudSensorModel |
| Super class for sensor model. It provides pure virtual method for common interfaces. More... | |
| struct | PointXYZHLS |
| class | Polygon |
| class | PolyLine |
| Class to represent 3-D polyline (not closed). More... | |
| class | ScopedWallDurationReporter |
| class | Segment |
| Class to represent 3-D straight line which has finite length. More... | |
| class | SeriesedBoolean |
| class | SpindleLaserSensor |
| class | TfListenerSingleton |
| class | TimeredDiagnosticUpdater |
| class | WallDurationTimer |
Typedefs | |
| typedef std::map< int, std::vector< int > > | IntegerGraphMap |
| typedef Eigen::Vector3f | Point |
| typedef boost::tuple< size_t, size_t > | PointIndexPair |
| typedef boost::tuple< Point, Point > | PointPair |
| typedef Eigen::Vector3f | Vertex |
| typedef std::vector < Eigen::Vector3f, Eigen::aligned_allocator < Eigen::Vector3f > > | Vertices |
Enumerations | |
| enum | Colors { ALICEBLUE, ANTIQUEWHITE, AQUA, AQUAMARINE, AZURE, BEIGE, BISQUE, BLACK, BLANCHEDALMOND, BLUE, BLUEVIOLET, BROWN, BURLYWOOD, CADETBLUE, CHARTREUSE, CHOCOLATE, CORAL, CORNFLOWERBLUE, CORNSILK, CRIMSON, CYAN, DARKBLUE, DARKCYAN, DARKGOLDENROD, DARKGRAY, DARKGREEN, DARKGREY, DARKKHAKI, DARKMAGENTA, DARKOLIVEGREEN, DARKORANGE, DARKORCHID, DARKRED, DARKSALMON, DARKSEAGREEN, DARKSLATEBLUE, DARKSLATEGRAY, DARKSLATEGREY, DARKTURQUOISE, DARKVIOLET, DEEPPINK, DEEPSKYBLUE, DIMGRAY, DIMGREY, DODGERBLUE, FIREBRICK, FLORALWHITE, FORESTGREEN, FUCHSIA, GAINSBORO, GHOSTWHITE, GOLD, GOLDENROD, GRAY, GREEN, GREENYELLOW, GREY, HONEYDEW, HOTPINK, INDIANRED, INDIGO, IVORY, KHAKI, LAVENDER, LAVENDERBLUSH, LAWNGREEN, LEMONCHIFFON, LIGHTBLUE, LIGHTCORAL, LIGHTCYAN, LIGHTGOLDENRODYELLOW, LIGHTGRAY, LIGHTGREEN, LIGHTGREY, LIGHTPINK, LIGHTSALMON, LIGHTSEAGREEN, LIGHTSKYBLUE, LIGHTSLATEGRAY, LIGHTSLATEGREY, LIGHTSTEELBLUE, LIGHTYELLOW, LIME, LIMEGREEN, LINEN, MAGENTA, MAROON, MEDIUMAQUAMARINE, MEDIUMBLUE, MEDIUMORCHID, MEDIUMPURPLE, MEDIUMSEAGREEN, MEDIUMSLATEBLUE, MEDIUMSPRINGGREEN, MEDIUMTURQUOISE, MEDIUMVIOLETRED, MIDNIGHTBLUE, MINTCREAM, MISTYROSE, MOCCASIN, NAVAJOWHITE, NAVY, OLDLACE, OLIVE, OLIVEDRAB, ORANGE, ORANGERED, ORCHID, PALEGOLDENROD, PALEGREEN, PALEVIOLETRED, PAPAYAWHIP, PEACHPUFF, PERU, PINK, PLUM, POWDERBLUE, PURPLE, RED, ROSYBROWN, ROYALBLUE, SADDLEBROWN, SALMON, SANDYBROWN, SEAGREEN, SEASHELL, SIENNA, SILVER, SKYBLUE, SLATEBLUE, SLATEGRAY, SLATEGREY, SNOW, SPRINGGREEN, STEELBLUE, TAN, TEAL, THISTLE, TOMATO, TURQUOISE, VIOLET, WHEAT, WHITE, WHITESMOKE, YELLOW, YELLOWGREEN } |
| 146 rgb colors More... | |
| enum | ComparePolicy { CORRELATION = 0, BHATTACHARYYA, INTERSECTION, CHISQUARE, KL_DIVERGENCE } |
| enum | HistogramPolicy { HUE = 0, HUE_AND_SATURATION } |
Functions | |
| void | _buildGroupFromGraphMap (IntegerGraphMap graph_map, const int from_index, std::vector< int > &to_indices, std::set< int > &output_set) |
| void | addDiagnosticBooleanStat (const std::string &string_prefix, const bool value, diagnostic_updater::DiagnosticStatusWrapper &stat) |
| void | addDiagnosticErrorSummary (const std::string &string_prefix, jsk_topic_tools::VitalChecker::Ptr vital_checker, diagnostic_updater::DiagnosticStatusWrapper &stat) |
| void | addDiagnosticInformation (const std::string &string_prefix, jsk_topic_tools::TimeAccumulator &accumulator, diagnostic_updater::DiagnosticStatusWrapper &stat) |
| std::vector< int > | addIndices (const std::vector< int > &a, const std::vector< int > &b) |
| pcl::PointIndices::Ptr | addIndices (const pcl::PointIndices &a, const pcl::PointIndices &b) |
| template<class T > | |
| void | addSet (std::set< T > &output, const std::set< T > &new_set) |
| Eigen::Affine3f | affineFromYAMLNode (const YAML::Node &pose) |
| template<class T > | |
| void | appendVector (std::vector< T > &a, const std::vector< T > &b) |
| template<class PointT > | |
| jsk_recognition_msgs::BoundingBox | boundingBoxFromPointCloud (const pcl::PointCloud< PointT > &cloud) |
| cv::Rect | boundingRectOfMaskImage (const cv::Mat &image) |
| compute bounding rectangle of mask image. | |
| void | buildAllGroupsSetFromGraphMap (IntegerGraphMap graph_map, std::vector< std::set< int > > &output_sets) |
| void | buildGroupFromGraphMap (IntegerGraphMap graph_map, const int from_index, std::vector< int > &to_indices, std::set< int > &output_set) |
| std_msgs::ColorRGBA | colorCategory20 (int i) |
| cv::Scalar | colorROSToCVBGR (const std_msgs::ColorRGBA &ros_color) |
| Convert std_msgs::ColorRGBA to cv::Scalar in BGR order. It expects 0-1 values in std_msgs::ColorRGBA. | |
| cv::Scalar | colorROSToCVRGB (const std_msgs::ColorRGBA &ros_color) |
| Convert std_msgs::ColorRGBA to cv::Scalar in RGB order. It expects 0-1 values in std_msgs::ColorRGBA. | |
| bool | compareHistogram (const std::vector< float > &input, const std::vector< float > &reference, const ComparePolicy policy, double &distance) |
| bool | compareHistogramWithRangeBin (const jsk_recognition_msgs::HistogramWithRangeBin &left, const jsk_recognition_msgs::HistogramWithRangeBin &right) |
| return true if left.count is larger than right.count. | |
| void | computeColorHistogram1d (const pcl::PointCloud< pcl::PointXYZHSV > &cloud, std::vector< float > &histogram, const int bin_size, const double white_threshold=0.1, const double black_threshold=0.1) |
| void | computeColorHistogram2d (const pcl::PointCloud< pcl::PointXYZHSV > &cloud, std::vector< float > &histogram, const int bin_size_per_channel, const double white_threshold=0.1, const double black_threshold=0.1) |
| cv::MatND | computeHistogram (const cv::Mat &input_image, int bin_size, float min_value, float max_value, const cv::Mat &mask_image) |
| simple wrapper for cv::calcHist. | |
| void | convertEigenAffine3 (const Eigen::Affine3d &from, Eigen::Affine3f &to) |
| void | convertEigenAffine3 (const Eigen::Affine3f &from, Eigen::Affine3d &to) |
| template<class FromT , class ToT > | |
| void | convertMatrix4 (const FromT &from, ToT &to) |
| std::vector< Plane::Ptr > | convertToPlanes (std::vector< pcl::ModelCoefficients::Ptr >) |
| template<class PointT > | |
| std::vector< typename pcl::PointCloud< PointT >::Ptr > | convertToPointCloudArray (const typename pcl::PointCloud< PointT >::Ptr &cloud, const std::vector< pcl::PointIndices::Ptr > &indices) |
| template<class T > | |
| pcl::PointCloud< pcl::PointXYZ > ::Ptr | convertToXYZCloud (const pcl::PointCloud< T > &cloud) |
| template<class PointT > | |
| ConvexPolygon::Ptr | convexFromCoefficientsAndInliers (const typename pcl::PointCloud< PointT >::Ptr cloud, const pcl::PointIndices::Ptr inliers, const pcl::ModelCoefficients::Ptr coefficients) |
| template<typename PointT > | |
| void | cropPointCloud (const typename pcl::PointCloud< PointT >::Ptr &cloud, const jsk_recognition_msgs::BoundingBox &bbox_msg, std::vector< int > *indices, bool extract_removed_indices=false) |
| Crop point cloud with jsk_recognition_msgs/BoundingBox. | |
| std::vector < jsk_recognition_msgs::HistogramWithRangeBin > | cvMatNDToHistogramWithRangeBinArray (const cv::MatND &cv_hist, float min_value, float max_value) |
| convert cv::MatND to jsk_recognition_msgs::HistogramimageWithRangeBin array | |
| void | drawHistogramWithRangeBin (cv::Mat &image, const jsk_recognition_msgs::HistogramWithRangeBin &bin, float min_width_value, float max_width_value, float max_height_value, cv::Scalar color) |
| draw bin to cv::Mat | |
| int | getHistogramBin (const double &val, const int &step, const double &min, const double &max) |
| cv::Vec3d | getRGBColor (const int color) |
| get rgb color with enum. | |
| bool | hasField (const std::string &field_name, const sensor_msgs::PointCloud2 &msg) |
| check if sensor_msgs/PointCloud2 message has the specified field. | |
| cv::MatND | HistogramWithRangeBinArrayTocvMatND (const std::vector< jsk_recognition_msgs::HistogramWithRangeBin > &histogram) |
| convert jsk_recognition_msgs::HistogramimageWithRangeBin array to cv::MatND | |
| void | HSV2HLS (const pcl::PointXYZHSV &hsv, PointXYZHLS &hls) |
| bool | isBGR (const std::string &encoding) |
| Check encodings. | |
| bool | isBGRA (const std::string &encoding) |
| bool | isRGB (const std::string &encoding) |
| bool | isRGBA (const std::string &encoding) |
| bool | isSameFrameId (const std::string &a, const std::string &b) |
| Return true if a and b are the same frame_id. | |
| bool | isSameFrameId (const std_msgs::Header &a, const std_msgs::Header &b) |
| Return true if a and b have the same frame_id. | |
| template<class T1 , class T2 > | |
| bool | isSameFrameId (const T1 &a, const T2 &b) |
| Return true if a and b have the same frame_id. | |
| bool | isValidPoint (const pcl::PointXYZ &p) |
| template<class PointT > | |
| bool | isValidPoint (const PointT &p) |
| void | labelToRGB (const cv::Mat src, cv::Mat &dst) |
| convert label image to rgb one. | |
| tf::StampedTransform | lookupTransformWithDuration (tf::TransformListener *listener, const std::string &to_frame, const std::string &from_frame, const ros::Time &stamp, ros::Duration duration) |
| template<class PointT > | |
| void | markerMsgToPointCloud (const visualization_msgs::Marker &input_marker, int sample_nums, pcl::PointCloud< PointT > &output_cloud) |
| void | normalizeHistogram (std::vector< float > &histogram) |
| std::ostream & | operator<< (std::ostream &os, const Segment &seg) |
| std::ostream & | operator<< (std::ostream &os, const PolyLine &pl) |
| template<class PointT > | |
| Vertices | pointCloudToVertices (const pcl::PointCloud< PointT > &cloud) |
| Compute Vertices from PointCloud. | |
| template<class FromT , class ToT > | |
| void | pointFromVectorToVector (const FromT &from, ToT &to) |
| template<class FromT , class ToT > | |
| void | pointFromVectorToXYZ (const FromT &p, ToT &msg) |
| template<class FromT , class ToT > | |
| void | pointFromXYZToVector (const FromT &msg, ToT &p) |
| template<class FromT , class ToT > | |
| void | pointFromXYZToXYZ (const FromT &from, ToT &to) |
| std::vector< cv::Point > | project3DPointstoPixel (const image_geometry::PinholeCameraModel &model, const Vertices &vertices) |
| Project array of 3d point represented in Eigen::Vector3f to 2d point using model. | |
| cv::Point | project3DPointToPixel (const image_geometry::PinholeCameraModel &model, const Eigen::Vector3f &p) |
| Project 3d point represented in Eigen::Vector3f to 2d point using model. | |
| void | publishPointIndices (ros::Publisher &pub, const pcl::PointIndices &indices, const std_msgs::Header &header) |
| Convert pcl::PointIndices to pcl_msgs::PointIndices and publish it with overriding header. | |
| double | randomGaussian (double mean, double var, boost::mt19937 &gen) |
| Return a random value according to gaussian distribution. If variance is zero, it just returns mean. | |
| double | randomUniform (double min, double max, boost::mt19937 &gen) |
| Return a random value according to uniform distribution. | |
| void | rangeImageToCvMat (const pcl::RangeImage &range_image, cv::Mat &mat) |
| Convert pcl::RangeImage to cv::Mat. Distance is normalized to 0-1 and colorized. | |
| void | rotateHistogram1d (const std::vector< float > &input, std::vector< float > &output, const double degree) |
| void | rotateHistogram2d (const std::vector< float > &input, std::vector< float > &output, const double degree) |
| Eigen::Quaternionf | rotFrom3Axis (const Eigen::Vector3f &ex, const Eigen::Vector3f &ey, const Eigen::Vector3f &ez) |
| void | sortHistogramWithRangeBinArray (std::vector< jsk_recognition_msgs::HistogramWithRangeBin > &bins) |
| sort std::vector<jsk_recognition_msgs::HistogramWithRangeBin>. largest value will be at the first element. | |
| std::vector< int > | subIndices (const std::vector< int > &a, const std::vector< int > &b) |
| pcl::PointIndices::Ptr | subIndices (const pcl::PointIndices &a, const pcl::PointIndices &b) |
| std::vector < jsk_recognition_msgs::HistogramWithRangeBin > | topNHistogramWithRangeBins (const std::vector< jsk_recognition_msgs::HistogramWithRangeBin > &bins, double top_n_rate) |
| extract top-N histograms. bins should be sorted. top_n_rate should be 0-1. | |
| template<class PointT > | |
| pcl::PointCloud< PointT >::Ptr | verticesToPointCloud (const Vertices &v) |
| Compute PointCloud from Vertices. | |
Variables | |
| BagOfFeatures = feature.BagOfFeatures | |
| bounding_box_msg_to_aabb = conversations.bounding_box_msg_to_aabb | |
| bounding_rect_of_mask = mask.bounding_rect_of_mask | |
| centerize = visualize.centerize | |
| colorize_cluster_indices = visualize.colorize_cluster_indices | |
| decompose_descriptors_with_label = feature.decompose_descriptors_with_label | |
| descent_closing = mask.descent_closing | |
| get_overlap_of_aabb = geometry.get_overlap_of_aabb | |
| get_tile_image = visualize.get_tile_image | |
| boost::mutex | global_chull_mutex |
| rects_msg_to_ndarray = conversations.rects_msg_to_ndarray | |
This file defines several utilities for pcl <--> ros bridging.
| typedef std::map<int, std::vector<int> > jsk_recognition_utils::IntegerGraphMap |
Definition at line 161 of file pcl_util.h.
| typedef Eigen::Vector3f jsk_recognition_utils::Point |
| typedef boost::tuple<size_t, size_t> jsk_recognition_utils::PointIndexPair |
| typedef boost::tuple<Point, Point> jsk_recognition_utils::PointPair |
| typedef Eigen::Vector3f jsk_recognition_utils::Vertex |
| typedef std::vector<Eigen::Vector3f, Eigen::aligned_allocator<Eigen::Vector3f> > jsk_recognition_utils::Vertices |
146 rgb colors
Definition at line 50 of file rgb_colors.h.
Definition at line 55 of file color_histogram.h.
Definition at line 50 of file color_histogram.h.
| void jsk_recognition_utils::_buildGroupFromGraphMap | ( | IntegerGraphMap | graph_map, |
| const int | from_index, | ||
| std::vector< int > & | to_indices, | ||
| std::set< int > & | output_set | ||
| ) |
Definition at line 164 of file pcl_util.cpp.
| void jsk_recognition_utils::addDiagnosticBooleanStat | ( | const std::string & | string_prefix, |
| const bool | value, | ||
| diagnostic_updater::DiagnosticStatusWrapper & | stat | ||
| ) |
Definition at line 229 of file pcl_util.cpp.
| void jsk_recognition_utils::addDiagnosticErrorSummary | ( | const std::string & | string_prefix, |
| jsk_topic_tools::VitalChecker::Ptr | vital_checker, | ||
| diagnostic_updater::DiagnosticStatusWrapper & | stat | ||
| ) |
Definition at line 218 of file pcl_util.cpp.
| void jsk_recognition_utils::addDiagnosticInformation | ( | const std::string & | string_prefix, |
| jsk_topic_tools::TimeAccumulator & | accumulator, | ||
| diagnostic_updater::DiagnosticStatusWrapper & | stat | ||
| ) |
Definition at line 204 of file pcl_util.cpp.
| std::vector< int > jsk_recognition_utils::addIndices | ( | const std::vector< int > & | a, |
| const std::vector< int > & | b | ||
| ) |
Definition at line 62 of file pcl_util.cpp.
| pcl::PointIndices::Ptr jsk_recognition_utils::addIndices | ( | const pcl::PointIndices & | a, |
| const pcl::PointIndices & | b | ||
| ) |
Definition at line 72 of file pcl_util.cpp.
| void jsk_recognition_utils::addSet | ( | std::set< T > & | output, |
| const std::set< T > & | new_set | ||
| ) |
Definition at line 184 of file pcl_util.h.
| Eigen::Affine3f jsk_recognition_utils::affineFromYAMLNode | ( | const YAML::Node & | pose | ) |
Definition at line 45 of file pcl_util.cpp.
| void jsk_recognition_utils::appendVector | ( | std::vector< T > & | a, |
| const std::vector< T > & | b | ||
| ) |
Definition at line 113 of file pcl_util.h.
| jsk_recognition_msgs::BoundingBox jsk_recognition_utils::boundingBoxFromPointCloud | ( | const pcl::PointCloud< PointT > & | cloud | ) |
Definition at line 138 of file geo_util.h.
| cv::Rect jsk_recognition_utils::boundingRectOfMaskImage | ( | const cv::Mat & | image | ) |
compute bounding rectangle of mask image.
Definition at line 164 of file cv_utils.cpp.
| void jsk_recognition_utils::buildAllGroupsSetFromGraphMap | ( | IntegerGraphMap | graph_map, |
| std::vector< std::set< int > > & | output_sets | ||
| ) |
Definition at line 184 of file pcl_util.cpp.
| void jsk_recognition_utils::buildGroupFromGraphMap | ( | IntegerGraphMap | graph_map, |
| const int | from_index, | ||
| std::vector< int > & | to_indices, | ||
| std::set< int > & | output_set | ||
| ) |
Definition at line 133 of file pcl_util.cpp.
| std_msgs::ColorRGBA jsk_recognition_utils::colorCategory20 | ( | int | i | ) |
| cv::Scalar jsk_recognition_utils::colorROSToCVBGR | ( | const std_msgs::ColorRGBA & | ros_color | ) | [inline] |
Convert std_msgs::ColorRGBA to cv::Scalar in BGR order. It expects 0-1 values in std_msgs::ColorRGBA.
Definition at line 60 of file color_utils.h.
| cv::Scalar jsk_recognition_utils::colorROSToCVRGB | ( | const std_msgs::ColorRGBA & | ros_color | ) | [inline] |
Convert std_msgs::ColorRGBA to cv::Scalar in RGB order. It expects 0-1 values in std_msgs::ColorRGBA.
Definition at line 48 of file color_utils.h.
| bool jsk_recognition_utils::compareHistogram | ( | const std::vector< float > & | input, |
| const std::vector< float > & | reference, | ||
| const ComparePolicy | policy, | ||
| double & | distance | ||
| ) | [inline] |
Definition at line 197 of file color_histogram.h.
| bool jsk_recognition_utils::compareHistogramWithRangeBin | ( | const jsk_recognition_msgs::HistogramWithRangeBin & | left, |
| const jsk_recognition_msgs::HistogramWithRangeBin & | right | ||
| ) |
return true if left.count is larger than right.count.
Definition at line 88 of file cv_utils.cpp.
| void jsk_recognition_utils::computeColorHistogram1d | ( | const pcl::PointCloud< pcl::PointXYZHSV > & | cloud, |
| std::vector< float > & | histogram, | ||
| const int | bin_size, | ||
| const double | white_threshold = 0.1, |
||
| const double | black_threshold = 0.1 |
||
| ) | [inline] |
Definition at line 101 of file color_histogram.h.
| void jsk_recognition_utils::computeColorHistogram2d | ( | const pcl::PointCloud< pcl::PointXYZHSV > & | cloud, |
| std::vector< float > & | histogram, | ||
| const int | bin_size_per_channel, | ||
| const double | white_threshold = 0.1, |
||
| const double | black_threshold = 0.1 |
||
| ) | [inline] |
Definition at line 128 of file color_histogram.h.
| cv::MatND jsk_recognition_utils::computeHistogram | ( | const cv::Mat & | input_image, |
| int | bin_size, | ||
| float | min_value, | ||
| float | max_value, | ||
| const cv::Mat & | mask_image | ||
| ) |
simple wrapper for cv::calcHist.
cv::MatND is a class to represent histogram in OpenCV 2.x. computeHistogram create 1-dimension cv::MatND.
Definition at line 44 of file cv_utils.cpp.
| void jsk_recognition_utils::convertEigenAffine3 | ( | const Eigen::Affine3d & | from, |
| Eigen::Affine3f & | to | ||
| ) |
Definition at line 71 of file pcl_conversion_util.cpp.
| void jsk_recognition_utils::convertEigenAffine3 | ( | const Eigen::Affine3f & | from, |
| Eigen::Affine3d & | to | ||
| ) |
Definition at line 80 of file pcl_conversion_util.cpp.
| void jsk_recognition_utils::convertMatrix4 | ( | const FromT & | from, |
| ToT & | to | ||
| ) |
Definition at line 101 of file pcl_conversion_util.h.
| std::vector< Plane::Ptr > jsk_recognition_utils::convertToPlanes | ( | std::vector< pcl::ModelCoefficients::Ptr > | coefficients | ) |
Definition at line 76 of file polygon.cpp.
| std::vector<typename pcl::PointCloud<PointT>::Ptr> jsk_recognition_utils::convertToPointCloudArray | ( | const typename pcl::PointCloud< PointT >::Ptr & | cloud, |
| const std::vector< pcl::PointIndices::Ptr > & | indices | ||
| ) |
Definition at line 80 of file pcl_util.h.
| pcl::PointCloud<pcl::PointXYZ>::Ptr jsk_recognition_utils::convertToXYZCloud | ( | const pcl::PointCloud< T > & | cloud | ) |
Definition at line 98 of file pcl_util.h.
| ConvexPolygon::Ptr jsk_recognition_utils::convexFromCoefficientsAndInliers | ( | const typename pcl::PointCloud< PointT >::Ptr | cloud, |
| const pcl::PointIndices::Ptr | inliers, | ||
| const pcl::ModelCoefficients::Ptr | coefficients | ||
| ) |
Definition at line 91 of file convex_polygon.h.
| void jsk_recognition_utils::cropPointCloud | ( | const typename pcl::PointCloud< PointT >::Ptr & | cloud, |
| const jsk_recognition_msgs::BoundingBox & | bbox_msg, | ||
| std::vector< int > * | indices, | ||
| bool | extract_removed_indices = false |
||
| ) |
Crop point cloud with jsk_recognition_msgs/BoundingBox.
Definition at line 101 of file pcl_ros_util.h.
| std::vector< jsk_recognition_msgs::HistogramWithRangeBin > jsk_recognition_utils::cvMatNDToHistogramWithRangeBinArray | ( | const cv::MatND & | cv_hist, |
| float | min_value, | ||
| float | max_value | ||
| ) |
convert cv::MatND to jsk_recognition_msgs::HistogramimageWithRangeBin array
Definition at line 60 of file cv_utils.cpp.
| void jsk_recognition_utils::drawHistogramWithRangeBin | ( | cv::Mat & | image, |
| const jsk_recognition_msgs::HistogramWithRangeBin & | bin, | ||
| float | min_width_value, | ||
| float | max_width_value, | ||
| float | max_height_value, | ||
| cv::Scalar | color | ||
| ) |
draw bin to cv::Mat
Definition at line 124 of file cv_utils.cpp.
| int jsk_recognition_utils::getHistogramBin | ( | const double & | val, |
| const int & | step, | ||
| const double & | min, | ||
| const double & | max | ||
| ) | [inline] |
Definition at line 79 of file color_histogram.h.
| cv::Vec3d jsk_recognition_utils::getRGBColor | ( | const int | color | ) |
get rgb color with enum.
Definition at line 43 of file rgb_colors.cpp.
| bool jsk_recognition_utils::hasField | ( | const std::string & | field_name, |
| const sensor_msgs::PointCloud2 & | msg | ||
| ) |
check if sensor_msgs/PointCloud2 message has the specified field.
Definition at line 76 of file pcl_ros_util.cpp.
| cv::MatND jsk_recognition_utils::HistogramWithRangeBinArrayTocvMatND | ( | const std::vector< jsk_recognition_msgs::HistogramWithRangeBin > & | histogram | ) |
convert jsk_recognition_msgs::HistogramimageWithRangeBin array to cv::MatND
Definition at line 77 of file cv_utils.cpp.
| void jsk_recognition_utils::HSV2HLS | ( | const pcl::PointXYZHSV & | hsv, |
| PointXYZHLS & | hls | ||
| ) | [inline] |
Definition at line 69 of file color_histogram.h.
| bool jsk_recognition_utils::isBGR | ( | const std::string & | encoding | ) |
Check encodings.
Definition at line 184 of file cv_utils.cpp.
| bool jsk_recognition_utils::isBGRA | ( | const std::string & | encoding | ) |
Definition at line 194 of file cv_utils.cpp.
| bool jsk_recognition_utils::isRGB | ( | const std::string & | encoding | ) |
Definition at line 189 of file cv_utils.cpp.
| bool jsk_recognition_utils::isRGBA | ( | const std::string & | encoding | ) |
Definition at line 199 of file cv_utils.cpp.
| bool jsk_recognition_utils::isSameFrameId | ( | const std::string & | a, |
| const std::string & | b | ||
| ) |
Return true if a and b are the same frame_id.
Definition at line 51 of file pcl_ros_util.cpp.
| bool jsk_recognition_utils::isSameFrameId | ( | const std_msgs::Header & | a, |
| const std_msgs::Header & | b | ||
| ) |
Return true if a and b have the same frame_id.
Definition at line 71 of file pcl_ros_util.cpp.
| bool jsk_recognition_utils::isSameFrameId | ( | const T1 & | a, |
| const T2 & | b | ||
| ) |
Return true if a and b have the same frame_id.
Definition at line 84 of file pcl_ros_util.h.
| bool jsk_recognition_utils::isValidPoint | ( | const pcl::PointXYZ & | p | ) | [inline] |
Definition at line 195 of file pcl_conversion_util.h.
| bool jsk_recognition_utils::isValidPoint | ( | const PointT & | p | ) | [inline] |
Definition at line 201 of file pcl_conversion_util.h.
| void jsk_recognition_utils::labelToRGB | ( | const cv::Mat | src, |
| cv::Mat & | dst | ||
| ) |
convert label image to rgb one.
Definition at line 147 of file cv_utils.cpp.
| tf::StampedTransform jsk_recognition_utils::lookupTransformWithDuration | ( | tf::TransformListener * | listener, |
| const std::string & | to_frame, | ||
| const std::string & | from_frame, | ||
| const ros::Time & | stamp, | ||
| ros::Duration | duration | ||
| ) |
Definition at line 60 of file tf_listener_singleton.cpp.
| void jsk_recognition_utils::markerMsgToPointCloud | ( | const visualization_msgs::Marker & | input_marker, |
| int | sample_nums, | ||
| pcl::PointCloud< PointT > & | output_cloud | ||
| ) |
Definition at line 117 of file pcl_conversion_util.h.
| void jsk_recognition_utils::normalizeHistogram | ( | std::vector< float > & | histogram | ) | [inline] |
Definition at line 89 of file color_histogram.h.
| std::ostream& jsk_recognition_utils::operator<< | ( | std::ostream & | os, |
| const Segment & | seg | ||
| ) |
Definition at line 102 of file segment.cpp.
| std::ostream& jsk_recognition_utils::operator<< | ( | std::ostream & | os, |
| const PolyLine & | pl | ||
| ) |
Definition at line 166 of file polyline.cpp.
| Vertices jsk_recognition_utils::pointCloudToVertices | ( | const pcl::PointCloud< PointT > & | cloud | ) |
Compute Vertices from PointCloud.
Definition at line 122 of file geo_util.h.
| void jsk_recognition_utils::pointFromVectorToVector | ( | const FromT & | from, |
| ToT & | to | ||
| ) |
Definition at line 94 of file pcl_conversion_util.h.
| void jsk_recognition_utils::pointFromVectorToXYZ | ( | const FromT & | p, |
| ToT & | msg | ||
| ) |
Definition at line 80 of file pcl_conversion_util.h.
| void jsk_recognition_utils::pointFromXYZToVector | ( | const FromT & | msg, |
| ToT & | p | ||
| ) |
Definition at line 73 of file pcl_conversion_util.h.
| void jsk_recognition_utils::pointFromXYZToXYZ | ( | const FromT & | from, |
| ToT & | to | ||
| ) |
Definition at line 87 of file pcl_conversion_util.h.
| std::vector< cv::Point > jsk_recognition_utils::project3DPointstoPixel | ( | const image_geometry::PinholeCameraModel & | model, |
| const Vertices & | vertices | ||
| ) |
Project array of 3d point represented in Eigen::Vector3f to 2d point using model.
Definition at line 41 of file sensor_model_utils.cpp.
| cv::Point jsk_recognition_utils::project3DPointToPixel | ( | const image_geometry::PinholeCameraModel & | model, |
| const Eigen::Vector3f & | p | ||
| ) | [inline] |
Project 3d point represented in Eigen::Vector3f to 2d point using model.
Definition at line 51 of file sensor_model_utils.h.
| void jsk_recognition_utils::publishPointIndices | ( | ros::Publisher & | pub, |
| const pcl::PointIndices & | indices, | ||
| const std_msgs::Header & | header | ||
| ) |
Convert pcl::PointIndices to pcl_msgs::PointIndices and publish it with overriding header.
Definition at line 41 of file pcl_ros_util.cpp.
| double jsk_recognition_utils::randomGaussian | ( | double | mean, |
| double | var, | ||
| boost::mt19937 & | gen | ||
| ) |
Return a random value according to gaussian distribution. If variance is zero, it just returns mean.
Definition at line 41 of file random_util.cpp.
| double jsk_recognition_utils::randomUniform | ( | double | min, |
| double | max, | ||
| boost::mt19937 & | gen | ||
| ) |
Return a random value according to uniform distribution.
Definition at line 55 of file random_util.cpp.
| void jsk_recognition_utils::rangeImageToCvMat | ( | const pcl::RangeImage & | range_image, |
| cv::Mat & | mat | ||
| ) |
Convert pcl::RangeImage to cv::Mat. Distance is normalized to 0-1 and colorized.
| range_image | instance of pcl::RangeImage |
| mat | instance of cv::Mat, converted cv::Mat is set into this argument. |
Definition at line 42 of file pcl_conversion_util.cpp.
| void jsk_recognition_utils::rotateHistogram1d | ( | const std::vector< float > & | input, |
| std::vector< float > & | output, | ||
| const double | degree | ||
| ) | [inline] |
Definition at line 157 of file color_histogram.h.
| void jsk_recognition_utils::rotateHistogram2d | ( | const std::vector< float > & | input, |
| std::vector< float > & | output, | ||
| const double | degree | ||
| ) | [inline] |
Definition at line 176 of file color_histogram.h.
| Eigen::Quaternionf jsk_recognition_utils::rotFrom3Axis | ( | const Eigen::Vector3f & | ex, |
| const Eigen::Vector3f & | ey, | ||
| const Eigen::Vector3f & | ez | ||
| ) |
Definition at line 55 of file geo_util.cpp.
| void jsk_recognition_utils::sortHistogramWithRangeBinArray | ( | std::vector< jsk_recognition_msgs::HistogramWithRangeBin > & | bins | ) |
sort std::vector<jsk_recognition_msgs::HistogramWithRangeBin>. largest value will be at the first element.
Definition at line 94 of file cv_utils.cpp.
| std::vector< int > jsk_recognition_utils::subIndices | ( | const std::vector< int > & | a, |
| const std::vector< int > & | b | ||
| ) |
Definition at line 81 of file pcl_util.cpp.
| pcl::PointIndices::Ptr jsk_recognition_utils::subIndices | ( | const pcl::PointIndices & | a, |
| const pcl::PointIndices & | b | ||
| ) |
Definition at line 94 of file pcl_util.cpp.
| std::vector< jsk_recognition_msgs::HistogramWithRangeBin > jsk_recognition_utils::topNHistogramWithRangeBins | ( | const std::vector< jsk_recognition_msgs::HistogramWithRangeBin > & | bins, |
| double | top_n_rate | ||
| ) |
extract top-N histograms. bins should be sorted. top_n_rate should be 0-1.
Definition at line 100 of file cv_utils.cpp.
| pcl::PointCloud<PointT>::Ptr jsk_recognition_utils::verticesToPointCloud | ( | const Vertices & | v | ) |
Compute PointCloud from Vertices.
Definition at line 101 of file geo_util.h.
Definition at line 13 of file __init__.py.
Definition at line 10 of file __init__.py.
Definition at line 16 of file __init__.py.
Definition at line 19 of file __init__.py.
Definition at line 20 of file __init__.py.
Definition at line 14 of file __init__.py.
Definition at line 17 of file __init__.py.
Definition at line 23 of file __init__.py.
Definition at line 21 of file __init__.py.
| boost::mutex jsk_recognition_utils::global_chull_mutex |
Definition at line 43 of file pcl_util.cpp.
Definition at line 11 of file __init__.py.