#include <opencv2/opencv.hpp>#include <jsk_recognition_msgs/HistogramWithRangeBin.h>
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Namespaces | |
| namespace | jsk_recognition_utils |
Functions | |
| cv::Rect | jsk_recognition_utils::boundingRectOfMaskImage (const cv::Mat &image) |
| compute bounding rectangle of mask image. | |
| 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. | |
| 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. | |
| 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 | |
| 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 | |
| cv::MatND | jsk_recognition_utils::HistogramWithRangeBinArrayTocvMatND (const std::vector< jsk_recognition_msgs::HistogramWithRangeBin > &histogram) |
| convert jsk_recognition_msgs::HistogramimageWithRangeBin array to cv::MatND | |
| bool | jsk_recognition_utils::isBGR (const std::string &encoding) |
| Check encodings. | |
| bool | jsk_recognition_utils::isBGRA (const std::string &encoding) |
| bool | jsk_recognition_utils::isRGB (const std::string &encoding) |
| bool | jsk_recognition_utils::isRGBA (const std::string &encoding) |
| void | jsk_recognition_utils::labelToRGB (const cv::Mat src, cv::Mat &dst) |
| convert label image to rgb one. | |
| 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. | |
| 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. | |