goodFeaturesToTrackAsync function

Future<VecPoint2f> goodFeaturesToTrackAsync(InputArray image, int maxCorners, double qualityLevel, double minDistance, { 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, {
  InputArray? mask,
  int blockSize = 3,
  int? gradientSize,
  bool useHarrisDetector = false,
  double k = 0.04,
}) async =>
    gradientSize == null
        ? cvRunAsync(
            (callback) => cffi.GoodFeaturesToTrack_Async(
              image.ref,
              maxCorners,
              qualityLevel,
              minDistance,
              mask?.ref ?? Mat.empty().ref,
              blockSize,
              useHarrisDetector,
              k,
              callback,
            ),
            vecPoint2fCompleter,
          )
        : cvRunAsync(
            (callback) => cffi.GoodFeaturesToTrackWithGradient_Async(
              image.ref,
              maxCorners,
              qualityLevel,
              minDistance,
              mask?.ref ?? Mat.empty().ref,
              blockSize,
              gradientSize,
              useHarrisDetector,
              k,
              callback,
            ),
            vecPoint2fCompleter,
          );