kmeansAsync function

Future<(double, Mat, Mat)> kmeansAsync(
  1. InputArray data,
  2. int K,
  3. InputOutputArray bestLabels,
  4. (int, int, double) criteria,
  5. int attempts,
  6. int flags,
)

KMeans finds centers of clusters and groups input samples around the clusters.

For further details, please see: https://docs.opencv.org/master/d5/d38/group__core__cluster.html#ga9a34dc06c6ec9460e90860f15bcd2f88

Implementation

Future<(double rval, Mat bestLabels, Mat centers)> kmeansAsync(
  InputArray data,
  int K,
  InputOutputArray bestLabels,
  (int, int, double) criteria,
  int attempts,
  int flags,
) async =>
    cvRunAsync2(
        (callback) =>
            cffi.core_KMeans_Async(data.ref, K, bestLabels.ref, criteria.cvd.ref, attempts, flags, callback),
        (completer, p, p1) {
      final rval = p.cast<ffi.Double>().value;
      calloc.free(p);
      completer.complete((rval, bestLabels, Mat.fromPointer(p1.cast<cvg.Mat>())));
    });