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Cleanup and improve unit test coverage for transformPointCloud functions #2245
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@@ -44,13 +44,16 @@ | |
#include <pcl/common/eigen.h> | ||
#include <pcl/point_types.h> | ||
#include <pcl/point_cloud.h> | ||
#include <pcl/io/pcd_io.h> | ||
#include <pcl/pcl_tests.h> | ||
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#include <pcl/common/centroid.h> | ||
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using namespace pcl; | ||
using pcl::test::EXPECT_EQ_VECTORS; | ||
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pcl::PCLPointCloud2 cloud_blob; | ||
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////////////////////////////////////////////////////////////////////////////////////////////////////////////////// | ||
TEST (PCL, compute3DCentroidFloat) | ||
{ | ||
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@@ -1009,9 +1012,80 @@ TEST (PCL, computeCentroid) | |
EXPECT_FLOAT_EQ (-500, centroid.curvature); | ||
} | ||
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TEST (PCL, demeanPointCloud) | ||
{ | ||
PointCloud<PointXYZ> cloud, cloud_demean; | ||
fromPCLPointCloud2 (cloud_blob, cloud); | ||
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Eigen::Vector4f centroid; | ||
compute3DCentroid (cloud, centroid); | ||
EXPECT_NEAR (centroid[0], -0.0290809, 1e-4); | ||
EXPECT_NEAR (centroid[1], 0.102653, 1e-4); | ||
EXPECT_NEAR (centroid[2], 0.027302, 1e-4); | ||
EXPECT_NEAR (centroid[3], 1, 1e-4); | ||
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// Check standard demean | ||
demeanPointCloud (cloud, centroid, cloud_demean); | ||
EXPECT_METADATA_EQ (cloud_demean, cloud); | ||
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EXPECT_XYZ_NEAR (cloud_demean[0], PointXYZ (0.034503, 0.010837, 0.013447), 1e-4); | ||
EXPECT_XYZ_NEAR (cloud_demean[cloud_demean.size () - 1], PointXYZ (-0.048849, 0.072507, -0.071702), 1e-4); | ||
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std::vector<int> indices (cloud.size ()); | ||
for (int i = 0; i < static_cast<int> (indices.size ()); ++i) { indices[i] = i; } | ||
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// Check standard demean w/ indices | ||
demeanPointCloud (cloud, indices, centroid, cloud_demean); | ||
EXPECT_EQ (cloud_demean.is_dense, cloud.is_dense); | ||
EXPECT_EQ (cloud_demean.width, indices.size ()); | ||
EXPECT_EQ (cloud_demean.height, 1); | ||
EXPECT_EQ (cloud_demean.size (), cloud.size ()); | ||
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EXPECT_XYZ_NEAR (cloud_demean[0], PointXYZ (0.034503, 0.010837, 0.013447), 1e-4); | ||
EXPECT_XYZ_NEAR (cloud_demean[cloud_demean.size () - 1], PointXYZ (-0.048849, 0.072507, -0.071702), 1e-4); | ||
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// Check eigen demean | ||
Eigen::MatrixXf mat_demean; | ||
demeanPointCloud (cloud, centroid, mat_demean); | ||
EXPECT_EQ (mat_demean.cols (), int (cloud.size ())); | ||
EXPECT_EQ (mat_demean.rows (), 4); | ||
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EXPECT_NEAR (mat_demean (0, 0), 0.034503, 1e-4); | ||
EXPECT_NEAR (mat_demean (1, 0), 0.010837, 1e-4); | ||
EXPECT_NEAR (mat_demean (2, 0), 0.013447, 1e-4); | ||
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EXPECT_NEAR (mat_demean (0, cloud_demean.size () - 1), -0.048849, 1e-4); | ||
EXPECT_NEAR (mat_demean (1, cloud_demean.size () - 1), 0.072507, 1e-4); | ||
EXPECT_NEAR (mat_demean (2, cloud_demean.size () - 1), -0.071702, 1e-4); | ||
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// Check eigen demean + indices | ||
demeanPointCloud (cloud, indices, centroid, mat_demean); | ||
EXPECT_EQ (mat_demean.cols (), int (cloud.size ())); | ||
EXPECT_EQ (mat_demean.rows (), 4); | ||
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EXPECT_NEAR (mat_demean (0, 0), 0.034503, 1e-4); | ||
EXPECT_NEAR (mat_demean (1, 0), 0.010837, 1e-4); | ||
EXPECT_NEAR (mat_demean (2, 0), 0.013447, 1e-4); | ||
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EXPECT_NEAR (mat_demean (0, cloud_demean.size () - 1), -0.048849, 1e-4); | ||
EXPECT_NEAR (mat_demean (1, cloud_demean.size () - 1), 0.072507, 1e-4); | ||
EXPECT_NEAR (mat_demean (2, cloud_demean.size () - 1), -0.071702, 1e-4); | ||
} | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Consider splitting these into 4 individual tests with a common fixture?
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int | ||
main (int argc, char** argv) | ||
{ | ||
if (argc < 2) | ||
{ | ||
std::cerr << "No test file given. Please download `bun0.pcd` and pass its path to the test." << std::endl; | ||
return (-1); | ||
} | ||
if (io::loadPCDFile (argv[1], cloud_blob) < 0) | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. I would prefer to avoid having to load bunny from a PCD file. It would remove Why not populate randomly a 10x3 Eigen matrix and use that as a data source? |
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{ | ||
std::cerr << "Failed to read test file. Please download `bun0.pcd` and pass its path to the test." << std::endl; | ||
return (-1); | ||
} | ||
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testing::InitGoogleTest (&argc, argv); | ||
return (RUN_ALL_TESTS ()); | ||
} | ||
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❤️