goodFeaturesToTrackAsync function

Future<VecPoint2f> goodFeaturesToTrackAsync(InputArray image, int maxCorners, double qualityLevel, double minDistance, { VecPoint2f? corners, InputArray? mask, int blockSize = 3, int? gradientSize, bool useHarrisDetector = false, double k = 0.04, })

GoodFeaturesToTrack determines strong corners on an image. The function finds the most prominent corners in the image or in the specified image region.

For further details, please see: https:///docs.opencv.org/master/dd/d1a/group__imgproc__feature.html#ga1d6bb77486c8f92d79c8793ad995d541

Implementation

Future<VecPoint2f> goodFeaturesToTrackAsync(
  InputArray image,
  int maxCorners,
  double qualityLevel,
  double minDistance, {
  VecPoint2f? corners,
  InputArray? mask,
  int blockSize = 3,
  int? gradientSize,
  bool useHarrisDetector = false,
  double k = 0.04,
}) {
  final pCorners = corners?.ptr ?? calloc<cvg.VecPoint2f>();
  mask ??= Mat.empty();
  if (gradientSize == null) {
    return cvRunAsync0(
      (callback) => cimgproc.cv_goodFeaturesToTrack(
        image.ref,
        pCorners,
        maxCorners,
        qualityLevel,
        minDistance,
        mask!.ref,
        blockSize,
        useHarrisDetector,
        k,
        callback,
      ),
      (c) {
        return c.complete(corners ?? VecPoint2f.fromPointer(pCorners));
      },
    );
  }
  return cvRunAsync0(
    (callback) => cimgproc.cv_goodFeaturesToTrack_1(
      image.ref,
      pCorners,
      maxCorners,
      qualityLevel,
      minDistance,
      mask!.ref,
      blockSize,
      gradientSize,
      useHarrisDetector,
      k,
      callback,
    ),
    (c) {
      return c.complete(corners ?? VecPoint2f.fromPointer(pCorners));
    },
  );
}