mirror of
https://github.com/opencv/opencv.git
synced 2024-11-25 11:40:44 +08:00
5ff1fababc
ml: refactored tests * use parametrized tests where appropriate * use stable theRNG in most tests * use modern style with EXPECT_/ASSERT_ checks
54 lines
1.8 KiB
C++
54 lines
1.8 KiB
C++
// This file is part of OpenCV project.
|
|
// It is subject to the license terms in the LICENSE file found in the top-level directory
|
|
// of this distribution and at http://opencv.org/license.html.
|
|
|
|
#include "test_precomp.hpp"
|
|
|
|
namespace opencv_test { namespace {
|
|
|
|
TEST(ML_KMeans, accuracy)
|
|
{
|
|
const int iters = 100;
|
|
int sizesArr[] = { 5000, 7000, 8000 };
|
|
int pointsCount = sizesArr[0]+ sizesArr[1] + sizesArr[2];
|
|
|
|
Mat data( pointsCount, 2, CV_32FC1 ), labels;
|
|
vector<int> sizes( sizesArr, sizesArr + sizeof(sizesArr) / sizeof(sizesArr[0]) );
|
|
Mat means;
|
|
vector<Mat> covs;
|
|
defaultDistribs( means, covs );
|
|
generateData( data, labels, sizes, means, covs, CV_32FC1, CV_32SC1 );
|
|
TermCriteria termCriteria( TermCriteria::COUNT, iters, 0.0);
|
|
|
|
{
|
|
SCOPED_TRACE("KMEANS_PP_CENTERS");
|
|
float err = 1000;
|
|
Mat bestLabels;
|
|
kmeans( data, 3, bestLabels, termCriteria, 0, KMEANS_PP_CENTERS, noArray() );
|
|
EXPECT_TRUE(calcErr( bestLabels, labels, sizes, err , false ));
|
|
EXPECT_LE(err, 0.01f);
|
|
}
|
|
{
|
|
SCOPED_TRACE("KMEANS_RANDOM_CENTERS");
|
|
float err = 1000;
|
|
Mat bestLabels;
|
|
kmeans( data, 3, bestLabels, termCriteria, 0, KMEANS_RANDOM_CENTERS, noArray() );
|
|
EXPECT_TRUE(calcErr( bestLabels, labels, sizes, err, false ));
|
|
EXPECT_LE(err, 0.01f);
|
|
}
|
|
{
|
|
SCOPED_TRACE("KMEANS_USE_INITIAL_LABELS");
|
|
float err = 1000;
|
|
Mat bestLabels;
|
|
labels.copyTo( bestLabels );
|
|
RNG &rng = cv::theRNG();
|
|
for( int i = 0; i < 0.5f * pointsCount; i++ )
|
|
bestLabels.at<int>( rng.next() % pointsCount, 0 ) = rng.next() % 3;
|
|
kmeans( data, 3, bestLabels, termCriteria, 0, KMEANS_USE_INITIAL_LABELS, noArray() );
|
|
EXPECT_TRUE(calcErr( bestLabels, labels, sizes, err, false ));
|
|
EXPECT_LE(err, 0.01f);
|
|
}
|
|
}
|
|
|
|
}} // namespace
|