opencv/modules/3d/test/test_pointcloud.cpp
Klepikov Dmitrii a99b4071a2
Merge pull request #20471 from ibvfteh:pointcloudio
GSoC module to save and load point cloud

* Add functionality to read point cloud data from files

* address issues found on review, add tests for mesh, refactor

* enable fail-safe execution and empty arrays as output

* Some improvements for point cloud io module

Co-authored-by: Julie Bareeva <julia.bareeva@xperience.ai>
2022-05-13 18:10:39 +00:00

187 lines
5.5 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 <opencv2/core.hpp>
#include <vector>
#include <cstdio>
#include "test_precomp.hpp"
#include "opencv2/ts.hpp"
namespace opencv_test { namespace {
TEST(PointCloud, LoadObj)
{
std::vector<cv::Point3f> points_gold = {
{-5.93915f, -0.13257f, 2.55837f},
{-5.93915f, 1.86743f, 2.55837f},
{-5.93915f, -0.13257f, -1.16339f},
{-5.93915f, 1.86743f, -1.16339f},
{0.399941f, -0.13257f, 2.55837f},
{0.399941f, 1.86743f, 2.55837f},
{0.399941f, -0.13257f, -1.16339f},
{0.399941f, 1.86743f, -1.16339f}};
std::vector<cv::Point3f> normals_gold = {
{-1.0000f, 0.0000f, 0.0000f},
{0.0000f, 0.0000f, -1.0000f},
{1.0000f, 0.0000f, 0.0000f},
{0.0000f, 0.0000f, 1.0000f},
{0.0000f, -1.0000f, 0.0000f},
{0.0000f, 1.0000f, 0.0000f}};
std::vector<cv::Point3f> points;
std::vector<cv::Point3f> normals;
auto folder = cvtest::TS::ptr()->get_data_path();
cv::loadPointCloud(folder + "pointcloudio/orig.obj", points, normals);
EXPECT_EQ(points_gold, points);
EXPECT_EQ(normals_gold, normals);
}
TEST(PointCloud, LoadObjNoNormals)
{
std::vector<cv::Point3f> points_gold = {
{-5.93915f, -0.13257f, 2.55837f},
{-5.93915f, 1.86743f, 2.55837f},
{-5.93915f, -0.13257f, -1.16339f},
{-5.93915f, 1.86743f, -1.16339f},
{0.399941f, -0.13257f, 2.55837f},
{0.399941f, 1.86743f, 2.55837f},
{0.399941f, -0.13257f, -1.16339f},
{0.399941f, 1.86743f, -1.16339f}};
std::vector<cv::Point3f> points;
std::vector<cv::Point3f> normals;
auto folder = cvtest::TS::ptr()->get_data_path();
cv::loadPointCloud(folder + "pointcloudio/orig_no_norms.obj", points, normals);
EXPECT_EQ(points_gold, points);
EXPECT_TRUE(normals.empty());
}
TEST(PointCloud, SaveObj)
{
std::vector<cv::Point3f> points_gold;
std::vector<cv::Point3f> normals_gold;
auto folder = cvtest::TS::ptr()->get_data_path();
auto new_path = tempfile("new.obj");
cv::loadPointCloud(folder + "pointcloudio/orig.obj", points_gold, normals_gold);
cv::savePointCloud(new_path, points_gold, normals_gold);
std::vector<cv::Point3f> points;
std::vector<cv::Point3f> normals;
cv::loadPointCloud(new_path, points, normals);
EXPECT_EQ(normals, normals_gold);
EXPECT_EQ(points, points_gold);
std::remove(new_path.c_str());
}
TEST(PointCloud, LoadSavePly)
{
std::vector<cv::Point3f> points;
std::vector<cv::Point3f> normals;
auto folder = cvtest::TS::ptr()->get_data_path();
std::string new_path = tempfile("new.ply");
cv::loadPointCloud(folder + "pointcloudio/orig.ply", points, normals);
cv::savePointCloud(new_path, points, normals);
std::vector<cv::Point3f> points_gold;
std::vector<cv::Point3f> normals_gold;
cv::loadPointCloud(new_path, points_gold, normals_gold);
EXPECT_EQ(normals_gold, normals);
EXPECT_EQ(points_gold, points);
std::remove(new_path.c_str());
}
TEST(PointCloud, LoadSaveMeshObj)
{
std::vector<cv::Point3f> points;
std::vector<cv::Point3f> normals;
std::vector<std::vector<int32_t>> indices;
auto folder = cvtest::TS::ptr()->get_data_path();
std::string new_path = tempfile("new_mesh.obj");
cv::loadMesh(folder + "pointcloudio/orig.obj", points, normals, indices);
cv::saveMesh(new_path, points, normals, indices);
std::vector<cv::Point3f> points_gold;
std::vector<cv::Point3f> normals_gold;
std::vector<std::vector<int32_t>> indices_gold;
cv::loadMesh(new_path, points_gold, normals_gold, indices_gold);
EXPECT_EQ(normals_gold, normals);
EXPECT_EQ(points_gold, points);
EXPECT_EQ(indices_gold, indices);
EXPECT_TRUE(!indices.empty());
std::remove(new_path.c_str());
}
TEST(PointCloud, LoadSaveMeshPly)
{
std::vector<cv::Point3f> points;
std::vector<cv::Point3f> normals;
std::vector<std::vector<int32_t>> indices;
auto folder = cvtest::TS::ptr()->get_data_path();
std::string new_path = tempfile("new_mesh.ply");
// we don't support meshes in PLY format right now but it should exit silently
cv::loadMesh(folder + "pointcloudio/orig.ply", points, normals, indices);
EXPECT_TRUE(points.empty());
EXPECT_TRUE(normals.empty());
EXPECT_TRUE(indices.empty());
cv::saveMesh(new_path, points, normals, indices);
EXPECT_TRUE(points.empty());
EXPECT_TRUE(normals.empty());
EXPECT_TRUE(indices.empty());
std::remove(new_path.c_str());
}
TEST(PointCloud, NonexistentFile)
{
std::vector<cv::Point3f> points;
std::vector<cv::Point3f> normals;
auto folder = cvtest::TS::ptr()->get_data_path();
cv::loadPointCloud(folder + "pointcloudio/fake.obj", points, normals);
EXPECT_TRUE(points.empty());
EXPECT_TRUE(normals.empty());
}
TEST(PointCloud, LoadBadExtension)
{
std::vector<cv::Point3f> points;
std::vector<cv::Point3f> normals;
auto folder = cvtest::TS::ptr()->get_data_path();
cv::loadPointCloud(folder + "pointcloudio/fake.fake", points, normals);
EXPECT_TRUE(points.empty());
EXPECT_TRUE(normals.empty());
}
TEST(PointCloud, SaveBadExtension)
{
std::vector<cv::Point3f> points;
std::vector<cv::Point3f> normals;
auto folder = cvtest::TS::ptr()->get_data_path();
cv::savePointCloud(folder + "pointcloudio/fake.fake", points, normals);
}
}} /* namespace opencv_test */