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#include <opencv2/features2d/features2d.hpp>
#include <opencv2/highgui/highgui.hpp>
#include "point.hh"
#include "mrgingham-internal.h"
using namespace mrgingham;
namespace mrgingham
{
__attribute__((visibility("default")))
bool find_blobs_from_image_array( std::vector<PointInt>* points,
const cv::Mat& image,
bool dodump )
{
cv::SimpleBlobDetector::Params blobDetectorParams;
blobDetectorParams.minArea = 20;
blobDetectorParams.maxArea = 80000;
blobDetectorParams.minDistBetweenBlobs = 5;
blobDetectorParams.blobColor = 0; // black-on-white dots
std::vector<cv::KeyPoint> keypoints;
cv::Ptr<cv::SimpleBlobDetector> blobDetector =
cv::SimpleBlobDetector::create(blobDetectorParams);
blobDetector->detect(image, keypoints);
for(std::vector<cv::KeyPoint>::iterator it = keypoints.begin();
it != keypoints.end();
it++)
{
if( dodump )
{
printf("%f %f\n", it->pt.x, it->pt.y);
}
else
{
points->push_back( PointInt((int)(it->pt.x * FIND_GRID_SCALE + 0.5),
(int)(it->pt.y * FIND_GRID_SCALE + 0.5)));
}
}
return true;
}
__attribute__((visibility("default")))
bool find_blobs_from_image_file( std::vector<PointInt>* points,
const char* filename,
bool dodump )
{
cv::Mat image = cv::imread(filename,
cv::IMREAD_IGNORE_ORIENTATION |
cv::IMREAD_GRAYSCALE);
if( image.data == NULL )
{
fprintf(stderr, "%s:%d in %s(): Couldn't open image '%s'."
" Sorry.\n", __FILE__, __LINE__, __func__, filename);
return false;
}
return find_blobs_from_image_array( points, image, dodump );
}
}
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