Open Source Computer Vision Library
https://opencv.org/
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222 lines
7.0 KiB
222 lines
7.0 KiB
// This file is part of OpenCV project. |
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// It is subject to the license terms in the LICENSE file found in the top-level directory |
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// of this distribution and at http://opencv.org/license.html. |
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#include <opencv2/core.hpp> |
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#include <vector> |
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#include <cstdio> |
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#include "test_precomp.hpp" |
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#include "opencv2/ts.hpp" |
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namespace opencv_test { namespace { |
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TEST(PointCloud, LoadPointCloudObj) |
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{ |
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std::vector<cv::Point3f> points_gold = { |
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{-5.93915f, -0.13257f, 2.55837f}, |
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{-5.93915f, 1.86743f, 2.55837f}, |
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{-5.93915f, -0.13257f, -1.16339f}, |
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{-5.93915f, 1.86743f, -1.16339f}, |
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{0.399941f, -0.13257f, 2.55837f}, |
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{0.399941f, 1.86743f, 2.55837f}, |
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{0.399941f, -0.13257f, -1.16339f}, |
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{0.399941f, 1.86743f, -1.16339f} |
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}; |
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std::vector<cv::Point3f> normals_gold = { |
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{-1.0000f, 0.0000f, 0.0000f}, |
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{ 0.0000f, 0.0000f, -1.0000f}, |
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{ 1.0000f, 0.0000f, 0.0000f}, |
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{ 0.0000f, 0.0000f, 1.0000f}, |
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{ 0.0000f, -1.0000f, 0.0000f}, |
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{ 0.0000f, 1.0000f, 0.0000f} |
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}; |
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std::vector<cv::Point3f> rgb_gold = { |
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{0.0756f, 0.5651f, 0.5829f}, |
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{0.8596f, 0.1105f, 0.8455f}, |
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{0.8534f, 0.6143f, 0.3950f}, |
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{0.0438f, 0.6308f, 0.3065f}, |
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{0.9716f, 0.7170f, 0.8378f}, |
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{0.2472f, 0.7701f, 0.0234f}, |
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{0.6472f, 0.7467f, 0.5981f}, |
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{0.3502f, 0.7954f, 0.0443f} |
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}; |
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std::vector<cv::Point3f> points, normals, rgb; |
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auto folder = cvtest::TS::ptr()->get_data_path(); |
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cv::loadPointCloud(folder + "pointcloudio/orig.obj", points, normals, rgb); |
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EXPECT_EQ(points_gold, points); |
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EXPECT_EQ(rgb_gold, rgb); |
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EXPECT_EQ(normals_gold, normals); |
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} |
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TEST(PointCloud, LoadObjNoNormals) |
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{ |
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std::vector<cv::Point3f> points_gold = { |
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{-5.93915f, -0.13257f, 2.55837f}, |
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{-5.93915f, 1.86743f, 2.55837f}, |
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{-5.93915f, -0.13257f, -1.16339f}, |
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{-5.93915f, 1.86743f, -1.16339f}, |
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{0.399941f, -0.13257f, 2.55837f}, |
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{0.399941f, 1.86743f, 2.55837f}, |
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{0.399941f, -0.13257f, -1.16339f}, |
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{0.399941f, 1.86743f, -1.16339f}}; |
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std::vector<cv::Point3f> points, normals; |
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auto folder = cvtest::TS::ptr()->get_data_path(); |
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cv::loadPointCloud(folder + "pointcloudio/orig_no_norms.obj", points, normals); |
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EXPECT_EQ(points_gold, points); |
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EXPECT_TRUE(normals.empty()); |
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} |
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TEST(PointCloud, SaveObj) |
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{ |
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std::vector<cv::Point3f> points_gold, normals_gold, rgb_gold; |
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auto folder = cvtest::TS::ptr()->get_data_path(); |
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auto new_path = tempfile("new.obj"); |
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cv::loadPointCloud(folder + "pointcloudio/orig.obj", points_gold, normals_gold, rgb_gold); |
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cv::savePointCloud(new_path, points_gold, normals_gold, rgb_gold); |
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std::vector<cv::Point3f> points, normals, rgb; |
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cv::loadPointCloud(new_path, points, normals, rgb); |
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EXPECT_EQ(normals, normals_gold); |
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EXPECT_EQ(points, points_gold); |
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EXPECT_EQ(rgb, rgb_gold); |
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std::remove(new_path.c_str()); |
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} |
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TEST(PointCloud, LoadSavePly) |
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{ |
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std::vector<cv::Point3f> points, normals, rgb; |
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auto folder = cvtest::TS::ptr()->get_data_path(); |
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std::string new_path = tempfile("new.ply"); |
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cv::loadPointCloud(folder + "pointcloudio/orig.ply", points, normals, rgb); |
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cv::savePointCloud(new_path, points, normals, rgb); |
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std::vector<cv::Point3f> points_gold, normals_gold, rgb_gold; |
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cv::loadPointCloud(new_path, points_gold, normals_gold, rgb_gold); |
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EXPECT_EQ(normals_gold, normals); |
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EXPECT_EQ(points_gold, points); |
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EXPECT_EQ(rgb_gold, rgb); |
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std::remove(new_path.c_str()); |
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} |
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TEST(PointCloud, LoadSaveMeshObj) |
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{ |
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std::vector<cv::Point3f> points, normals, colors; |
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std::vector<cv::Point2f> texCoords; |
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std::vector<std::vector<int32_t>> indices; |
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auto folder = cvtest::TS::ptr()->get_data_path(); |
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std::string new_path = tempfile("new_mesh.obj"); |
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cv::loadMesh(folder + "pointcloudio/orig.obj", points, indices, normals, colors, texCoords); |
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EXPECT_FALSE(points.empty()); |
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EXPECT_FALSE(indices.empty()); |
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EXPECT_FALSE(normals.empty()); |
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EXPECT_FALSE(colors.empty()); |
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EXPECT_FALSE(texCoords.empty()); |
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cv::saveMesh(new_path, points, indices, normals, colors, texCoords); |
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std::vector<cv::Point3f> points_gold, normals_gold, colors_gold; |
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std::vector<cv::Point2f> texCoords_gold; |
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std::vector<std::vector<int32_t>> indices_gold; |
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cv::loadMesh(new_path, points_gold, indices_gold, normals_gold, colors_gold, texCoords_gold); |
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EXPECT_FALSE(points_gold.empty()); |
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EXPECT_FALSE(indices_gold.empty()); |
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EXPECT_FALSE(normals_gold.empty()); |
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EXPECT_FALSE(colors_gold.empty()); |
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EXPECT_FALSE(texCoords_gold.empty()); |
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EXPECT_EQ(normals_gold, normals); |
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EXPECT_EQ(points_gold, points); |
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EXPECT_EQ(indices_gold, indices); |
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EXPECT_TRUE(!indices.empty()); |
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std::remove(new_path.c_str()); |
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} |
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typedef std::string PlyTestParamsType; |
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typedef testing::TestWithParam<PlyTestParamsType> PlyTest; |
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TEST_P(PlyTest, LoadSaveMesh) |
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{ |
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std::string fname = GetParam(); |
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std::vector<cv::Point3f> points_gold, normals_gold, colors_gold; |
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std::vector<cv::Vec3i> indices_gold; |
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auto folder = cvtest::TS::ptr()->get_data_path(); |
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std::string new_path = tempfile("new_mesh.ply"); |
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cv::loadMesh(folder + fname, points_gold, indices_gold, normals_gold, colors_gold); |
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EXPECT_FALSE(points_gold.empty()); |
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EXPECT_FALSE(indices_gold.empty()); |
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cv::saveMesh(new_path, points_gold, indices_gold, normals_gold, colors_gold); |
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std::vector<cv::Point3f> points, normals, colors; |
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std::vector<cv::Vec3i> indices; |
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cv::loadMesh(new_path, points, indices, normals, colors); |
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if (!normals.empty()) |
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{ |
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EXPECT_LE(cv::norm(normals_gold, normals, NORM_INF), 0); |
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} |
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EXPECT_LE(cv::norm(points_gold, points, NORM_INF), 0); |
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EXPECT_LE(cv::norm(colors_gold, colors, NORM_INF), 0); |
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EXPECT_EQ(indices_gold, indices); |
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std::remove(new_path.c_str()); |
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} |
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INSTANTIATE_TEST_CASE_P(PointCloud, PlyTest, |
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::testing::Values("pointcloudio/orig.ply", "pointcloudio/orig_ascii_fidx.ply", "pointcloudio/orig_bin_fidx.ply", |
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"pointcloudio/orig_ascii_vidx.ply", "pointcloudio/orig_bin.ply", "viz/dragon.ply")); |
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TEST(PointCloud, NonexistentFile) |
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{ |
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std::vector<cv::Point3f> points; |
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std::vector<cv::Point3f> normals; |
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auto folder = cvtest::TS::ptr()->get_data_path(); |
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cv::loadPointCloud(folder + "pointcloudio/fake.obj", points, normals); |
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EXPECT_TRUE(points.empty()); |
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EXPECT_TRUE(normals.empty()); |
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} |
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TEST(PointCloud, LoadBadExtension) |
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{ |
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std::vector<cv::Point3f> points; |
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std::vector<cv::Point3f> normals; |
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auto folder = cvtest::TS::ptr()->get_data_path(); |
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cv::loadPointCloud(folder + "pointcloudio/fake.fake", points, normals); |
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EXPECT_TRUE(points.empty()); |
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EXPECT_TRUE(normals.empty()); |
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} |
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TEST(PointCloud, SaveBadExtension) |
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{ |
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std::vector<cv::Point3f> points; |
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std::vector<cv::Point3f> normals; |
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auto folder = cvtest::TS::ptr()->get_data_path(); |
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cv::savePointCloud(folder + "pointcloudio/fake.fake", points, normals); |
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} |
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}} /* namespace opencv_test */
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