Open Source Computer Vision Library
https://opencv.org/
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
220 lines
6.8 KiB
220 lines
6.8 KiB
// 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::Point3_<uchar>> rgb_gold = { |
|
{19, 144, 149}, |
|
{219, 28, 216}, |
|
{218, 157, 101}, |
|
{11, 161, 78}, |
|
{248, 183, 214}, |
|
{63, 196, 6}, |
|
{165, 190, 153}, |
|
{89, 203, 11}}; |
|
|
|
std::vector<cv::Point3f> points; |
|
std::vector<cv::Point3f> normals; |
|
std::vector<cv::Point3_<uchar>> rgb; |
|
|
|
auto folder = cvtest::TS::ptr()->get_data_path(); |
|
cv::loadPointCloud(folder + "pointcloudio/orig.obj", points, normals, rgb); |
|
|
|
EXPECT_EQ(points_gold, points); |
|
EXPECT_EQ(rgb_gold, rgb); |
|
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; |
|
std::vector<cv::Point3_<uchar>> rgb_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, rgb_gold); |
|
cv::savePointCloud(new_path, points_gold, normals_gold, rgb_gold); |
|
|
|
std::vector<cv::Point3f> points; |
|
std::vector<cv::Point3f> normals; |
|
std::vector<cv::Point3_<uchar>> rgb; |
|
|
|
cv::loadPointCloud(new_path, points, normals, rgb); |
|
|
|
EXPECT_EQ(normals, normals_gold); |
|
EXPECT_EQ(points, points_gold); |
|
EXPECT_EQ(rgb, rgb_gold); |
|
std::remove(new_path.c_str()); |
|
} |
|
|
|
TEST(PointCloud, LoadSavePly) |
|
{ |
|
std::vector<cv::Point3f> points; |
|
std::vector<cv::Point3f> normals; |
|
std::vector<cv::Point3_<uchar>> rgb; |
|
|
|
auto folder = cvtest::TS::ptr()->get_data_path(); |
|
std::string new_path = tempfile("new.ply"); |
|
|
|
cv::loadPointCloud(folder + "pointcloudio/orig.ply", points, normals, rgb); |
|
cv::savePointCloud(new_path, points, normals, rgb); |
|
|
|
std::vector<cv::Point3f> points_gold; |
|
std::vector<cv::Point3f> normals_gold; |
|
std::vector<cv::Point3_<uchar>> rgb_gold; |
|
|
|
cv::loadPointCloud(new_path, points_gold, normals_gold, rgb_gold); |
|
|
|
EXPECT_EQ(normals_gold, normals); |
|
EXPECT_EQ(points_gold, points); |
|
EXPECT_EQ(rgb_gold, rgb); |
|
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, indices, normals); |
|
cv::saveMesh(new_path, points, indices, normals); |
|
|
|
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, indices_gold, normals_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()); |
|
} |
|
|
|
typedef std::string PlyTestParamsType; |
|
typedef testing::TestWithParam<PlyTestParamsType> PlyTest; |
|
|
|
TEST_P(PlyTest, LoadSaveMesh) |
|
{ |
|
std::string fname = GetParam(); |
|
|
|
std::vector<cv::Point3f> points_gold, normals_gold, colors_gold; |
|
std::vector<std::vector<int32_t>> indices_gold; |
|
|
|
auto folder = cvtest::TS::ptr()->get_data_path(); |
|
std::string new_path = tempfile("new_mesh.ply"); |
|
|
|
cv::loadMesh(folder + fname, points_gold, indices_gold, normals_gold, colors_gold); |
|
EXPECT_FALSE(points_gold.empty()); |
|
EXPECT_FALSE(indices_gold.empty()); |
|
|
|
cv::saveMesh(new_path, points_gold, indices_gold, normals_gold, colors_gold); |
|
|
|
std::vector<cv::Point3f> points, normals, colors; |
|
std::vector<std::vector<int32_t>> indices; |
|
cv::loadMesh(new_path, points, indices, normals, colors); |
|
|
|
if (!normals.empty()) |
|
{ |
|
EXPECT_LE(cv::norm(normals_gold, normals, NORM_INF), 0); |
|
} |
|
EXPECT_LE(cv::norm(points_gold, points, NORM_INF), 0); |
|
EXPECT_LE(cv::norm(colors_gold, colors, NORM_INF), 0); |
|
EXPECT_EQ(indices_gold, indices); |
|
std::remove(new_path.c_str()); |
|
} |
|
|
|
|
|
INSTANTIATE_TEST_CASE_P(PointCloud, PlyTest, |
|
::testing::Values("pointcloudio/orig.ply", "pointcloudio/orig_ascii_fidx.ply", "pointcloudio/orig_bin_fidx.ply", |
|
"pointcloudio/orig_ascii_vidx.ply", "pointcloudio/orig_bin.ply", "viz/dragon.ply")); |
|
|
|
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 */
|
|
|