vendor: OpenCV 5.0.0 snapshot at 755e50675d97db9b7d449d8bd6b09888646f6c6e

2026-08-22 00:11:13 +08:00
commit 12022378a3
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+/*
+ * Copyright (c) 2024 Qualcomm Innovation Center, Inc. All rights reserved.
+ * SPDX-License-Identifier: Apache-2.0
+*/
+
+#include "precomp.hpp"
+
+namespace cv {
+namespace fastcv {
+
+void clusterEuclidean(InputArray _points, InputArray _clusterCenters, OutputArray _newClusterCenters,
+                      OutputArray _clusterSizes, OutputArray _clusterBindings, OutputArray _clusterSumDists,
+                      int numPointsUsed)
+{
+    INITIALIZATION_CHECK;
+
+    CV_Assert(!_points.empty() && _points.type() == CV_8UC1);
+    int nPts      = _points.rows();
+    int nDims     = _points.cols();
+    int ptsStride = _points.step();
+
+    CV_Assert(!_clusterCenters.empty() && _clusterCenters.depth() == CV_32F);
+    int nClusters           = _clusterCenters.rows();
+    int clusterCenterStride = _clusterCenters.step();
+
+    CV_Assert(_clusterCenters.cols() == nDims);
+
+    CV_Assert(numPointsUsed <= nPts);
+    if (numPointsUsed < 0)
+    {
+        numPointsUsed = nPts;
+    }
+
+    _newClusterCenters.create(nClusters, nDims, CV_32FC1);
+    _clusterSizes.create(1, nClusters, CV_32SC1);
+    _clusterBindings.create(1, numPointsUsed, CV_32SC1);
+    _clusterSumDists.create(1, nClusters, CV_32FC1);
+
+    Mat points            = _points.getMat();
+    Mat clusterCenters    = _clusterCenters.getMat();
+    Mat newClusterCenters = _newClusterCenters.getMat();
+    Mat clusterSizes      = _clusterSizes.getMat();
+    Mat clusterBindings   = _clusterBindings.getMat();
+    Mat clusterSumDists   = _clusterSumDists.getMat();
+
+    int result = fcvClusterEuclideanu8(points.data,
+                                       nPts,
+                                       nDims,
+                                       ptsStride,
+                                       numPointsUsed,
+                                       nClusters,
+                                       (float32_t*)clusterCenters.data,
+                                       clusterCenterStride,
+                                       (float32_t*)newClusterCenters.data,
+                                       (uint32_t*)clusterSizes.data,
+                                       (uint32_t*)clusterBindings.data,
+                                       (float32_t*)clusterSumDists.data);
+
+    if (result)
+    {
+        CV_Error(cv::Error::StsInternal, cv::format("Failed to clusterize, error code: %d", result));
+    }
+}
+
+} // fastcv::
+} // cv::