cv_utils.h

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// -*- mode: c++ -*-
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#ifndef JSK_RECOGNITION_UTILS_CV_UTILS_H_
#define JSK_RECOGNITION_UTILS_CV_UTILS_H_
 
#include <opencv2/opencv.hpp>
#if ( CV_MAJOR_VERSION >= 4)
#include <opencv2/imgproc/imgproc_c.h>
#endif
#include <jsk_recognition_msgs/HistogramWithRangeBin.h>
 
namespace jsk_recognition_utils
{
  cv::MatND computeHistogram(const cv::Mat& input_image, int bin_size,
                             float min_value, float max_value,
                             const cv::Mat& mask_image);
 
  std::vector<jsk_recognition_msgs::HistogramWithRangeBin>
  cvMatNDToHistogramWithRangeBinArray(const cv::MatND& cv_hist, float min_value, float max_value);
 
  cv::MatND
  HistogramWithRangeBinArrayTocvMatND(
    const std::vector<jsk_recognition_msgs::HistogramWithRangeBin>& histogram);
  
  bool compareHistogramWithRangeBin(const jsk_recognition_msgs::HistogramWithRangeBin& left,
                                    const jsk_recognition_msgs::HistogramWithRangeBin& right);
  
  void sortHistogramWithRangeBinArray(std::vector<jsk_recognition_msgs::HistogramWithRangeBin>& bins);
 
  std::vector<jsk_recognition_msgs::HistogramWithRangeBin>
  topNHistogramWithRangeBins(const std::vector<jsk_recognition_msgs::HistogramWithRangeBin>& bins,
                             double top_n_rate);
 
  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);
 
  void labelToRGB(const cv::Mat src, cv::Mat& dst);
 
  cv::Rect boundingRectFromContours(const std::vector<cv::Point>& contours);
 
  cv::Rect boundingRectOfMaskImage(const cv::Mat& image);
 
  bool isBGR(const std::string& encoding);
  bool isRGB(const std::string& encoding);
  bool isBGRA(const std::string& encoding);
  bool isRGBA(const std::string& encoding);
 
}
 
#endif