christianPet's profile - activity

hi i have a problem with adaptiveThreshold, i have this error:

OpenCV Error: Assertion failed (src.type() == CV_8UC1) in adaptiveThreshold, file /home/petrucci/opencv-3.1.0/modules/imgproc/src/thresh.cpp, line 1286
terminate called after throwing an instance of 'cv::Exception'
  what():  /home/petrucci/opencv-3.1.0/modules/imgproc/src/thresh.cpp:1286: error: (-215) src.type() == CV_8UC1 in function adaptiveThreshold

the code is:

void cb(uvc_frame_t *frame, void *data) {
  cv::Mat cvFrame(frame->height, frame->width, CV_16UC1, frame->data);
  j++;
  puts("frame");
  ostringstream ss;
        ss << "Image" << j <<"g"<<gain<<".jpg";

        string filename = ss.str();
        imwrite(filename.c_str(),cvFrame);

        Mat image;
        image = imread(filename);
  puts("frame salvato");
  trackFrame((TrackingData*)(data), image);
}



#include "eyetracking.h"

#include <opencv2/highgui/highgui.hpp>
#include <opencv2/photo/photo.hpp>
#include <iostream>
#include <chrono>
#include <utility>

#include "halideFuncs.h"
#include "starburst.h"

static const int kFirstGlintXShadow = 100;
static const int kGlintNeighbourhood = 100;
static const int kEyeRegionWidth = 200;
static const int kEyeRegionHeight = 160;
static const double k8BitScale = (265.0/1024.0)*2.0;

using namespace cv;

struct TrackingData {
  HalideGens *gens;
  TrackingData() {
    gens = createGens();
  }
  ~TrackingData() {
    deleteGens(gens);
  }
};

// search for other set pixels in an area around the point and find the average of the set locations
static Point findLocalCenter(Mat &m, Point p, int size) {
  int xSum = 0;
  int ySum = 0;
  int count = 0;
  for(int i = std::max(0,p.y-size); i < std::min(m.rows,p.y+size); i++) {
    const uint8_t* Mi = m.ptr<uint8_t>(i);
    for(int j = std::max(0,p.x-size); j < std::min(m.cols,p.x+size); j++) {
      if(Mi[j] == 0) {
        xSum += j; ySum += i;
        count += 1;
      }
    }
  }
  if(count == 0) return Point(0,0);
  return Point(xSum/count, ySum/count);
}

static std::vector<Point> trackGlints(TrackingData *dat, Mat &m) {
  // double maxVal;
  // Point maxPt;
  // minMaxLoc(m, nullptr, &maxVal, nullptr, &maxPt);
  // std::cout << "max val: " << maxVal << " at " << maxPt << std::endl;
  // threshold(m, m, maxVal*kGlintThreshold, 255, THRESH_BINARY_INV);
  // adaptiveThreshold(m, m, 1, ADAPTIVE_THRESH_MEAN_C, THRESH_BINARY, 11, -10.0);
  adaptiveThreshold(m, m, 255, ADAPTIVE_THRESH_MEAN_C, THRESH_BINARY_INV, 11, -40.0);

  // search for first two pixels separated sufficiently horizontally
  // start from the top and only take the first two so that glints off of teeth and headphones are ignored.
  std::vector<Point> result;
  for(int i = 0; i < m.rows; i++) {
    if(result.size() >= 2) break;
    const uint8_t* Mi = m.ptr<uint8_t>(i);
    for(int j = 0; j < m.cols; j++) {
      if(Mi[j] == 0) {
        if(result.empty()) {
          result.push_back(Point(j,i));
        } else if(j > result[0].x+kFirstGlintXShadow || j < result[0].x-kFirstGlintXShadow) {
          result.push_back(Point(j,i));
          break;
        }
      }
    }
  }
  // Make the found point more centered on the eye instead of being just the first one
  for(auto &&p : result)
    p = findLocalCenter(m,p, kGlintNeighbourhood);

  // consistent order, purely so debug views aren't jittery
  std::sort(result.begin(), result.end(), [](Point a, Point b) {
      return a.x < b.x;
  });

  return result;
}

void trackFrame(TrackingData *dat, Mat &bigM) {
  std::chrono::time_point<std::chrono::high_resolution_clock> start, end;
  start = std::chrono::high_resolution_clock::now();

  // fix stuck pixel on my EyeTribe by ...