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modules/face/test/test_bif.cpp
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/*
By downloading, copying, installing or using the software you agree to this
license. If you do not agree to this license, do not download, install,
copy or use the software.
License Agreement
For Open Source Computer Vision Library
(3-clause BSD License)
Copyright (C) 2013, OpenCV Foundation, all rights reserved.
Third party copyrights are property of their respective owners.
Redistribution and use in source and binary forms, with or without modification,
are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright notice,
this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.
* Neither the names of the copyright holders nor the names of the contributors
may be used to endorse or promote products derived from this software
without specific prior written permission.
This software is provided by the copyright holders and contributors "as is" and
any express or implied warranties, including, but not limited to, the implied
warranties of merchantability and fitness for a particular purpose are
disclaimed. In no event shall copyright holders or contributors be liable for
any direct, indirect, incidental, special, exemplary, or consequential damages
(including, but not limited to, procurement of substitute goods or services;
loss of use, data, or profits; or business interruption) however caused
and on any theory of liability, whether in contract, strict liability,
or tort (including negligence or otherwise) arising in any way out of
the use of this software, even if advised of the possibility of such damage.
*/
#include "test_precomp.hpp"
namespace opencv_test { namespace {
TEST(CV_Face_BIF, can_create_default) {
cv::Ptr<cv::face::BIF> bif;
EXPECT_NO_THROW(bif = cv::face::BIF::create());
EXPECT_FALSE(bif.empty());
}
TEST(CV_Face_BIF, fails_when_zero_bands) {
EXPECT_ANY_THROW(cv::face::BIF::create(0));
}
TEST(CV_Face_BIF, fails_when_too_many_bands) {
EXPECT_ANY_THROW(cv::face::BIF::create(9));
}
TEST(CV_Face_BIF, fails_when_zero_rotations) {
EXPECT_ANY_THROW(cv::face::BIF::create(8, 0));
}
TEST(CV_Face_BIF, can_compute) {
cv::Mat image(60, 60, CV_32F);
cv::theRNG().fill(image, cv::RNG::UNIFORM, -1, 1);
cv::Ptr<cv::face::BIF> bif = cv::face::BIF::create();
cv::Mat fea;
EXPECT_NO_THROW(bif->compute(image, fea));
EXPECT_EQ(cv::Size(1, 13188), fea.size());
}
}} // namespace
modules/face/test/test_face_align.cpp
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// 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 {
using namespace cv::face;
static bool myDetector( InputArray image, OutputArray ROIs, CascadeClassifier* face_cascade)
{
Mat gray;
std::vector<Rect> faces;
if(image.channels()>1){
cvtColor(image.getMat(),gray,COLOR_BGR2GRAY);
}
else{
gray = image.getMat().clone();
}
equalizeHist( gray, gray );
face_cascade->detectMultiScale( gray, faces, 1.1, 3, 0, Size(30, 30) );
Mat(faces).copyTo(ROIs);
return true;
}
TEST(CV_Face_FacemarkKazemi, can_create_default) {
string cascade_name = cvtest::findDataFile("face/lbpcascade_frontalface_improved.xml", true);
string configfile_name = cvtest::findDataFile("face/config.xml", true);
CascadeClassifier face_cascade;
EXPECT_TRUE(face_cascade.load(cascade_name));
FacemarkKazemi::Params params;
params.configfile = configfile_name;
Ptr<FacemarkKazemi> facemark;
EXPECT_NO_THROW(facemark = FacemarkKazemi::create(params));
EXPECT_TRUE(facemark->setFaceDetector((cv::face::FN_FaceDetector)myDetector, &face_cascade));
EXPECT_FALSE(facemark.empty());
}
TEST(CV_Face_FacemarkKazemi, can_loadTrainingData) {
string filename = cvtest::findDataFile("face/lbpcascade_frontalface_improved.xml", true);
string configfile_name = cvtest::findDataFile("face/config.xml", true);
CascadeClassifier face_cascade;
EXPECT_TRUE(face_cascade.load(filename));
FacemarkKazemi::Params params;
params.configfile = configfile_name;
Ptr<FacemarkKazemi> facemark;
EXPECT_NO_THROW(facemark = FacemarkKazemi::create(params));
EXPECT_TRUE(facemark->setFaceDetector((cv::face::FN_FaceDetector)myDetector, &face_cascade));
vector<String> filenames;
filename = cvtest::findDataFile("face/1.txt", true);
filenames.push_back(filename);
filename = cvtest::findDataFile("face/2.txt", true);
filenames.push_back(filename);
vector<String> imagenames;
vector< vector<Point2f> > trainlandmarks,Trainlandmarks;
vector<Rect> rectangles;
//Test getData function
EXPECT_NO_THROW(loadTrainingData(filenames,trainlandmarks,imagenames));
vector<Mat> trainimages;
for(unsigned long i=0;i<imagenames.size();i++){
string img = cvtest::findDataFile(imagenames[i], true);
Mat src = imread(img);
EXPECT_TRUE(!src.empty());
trainimages.push_back(src);
Trainlandmarks.push_back(trainlandmarks[i]);
}
string modelfilename = "face_landmark_model.dat";
Size scale = Size(460,460);
EXPECT_TRUE(facemark->training(trainimages,Trainlandmarks,configfile_name,scale,modelfilename));
}
TEST(CV_Face_FacemarkKazemi, can_detect_landmarks) {
string cascade_name = cvtest::findDataFile("face/lbpcascade_frontalface_improved.xml", true);
CascadeClassifier face_cascade;
face_cascade.load(cascade_name);
FacemarkKazemi::Params params;
Ptr<FacemarkKazemi> facemark;
EXPECT_NO_THROW(facemark = FacemarkKazemi::create(params));
EXPECT_TRUE(facemark->setFaceDetector((cv::face::FN_FaceDetector)myDetector, &face_cascade));
string imgname = cvtest::findDataFile("face/detect.jpg");
string modelfilename = cvtest::findDataFile("face/face_landmark_model.dat",true);
Mat img = imread(imgname);
EXPECT_TRUE(!img.empty());
EXPECT_FALSE(facemark.empty());
EXPECT_NO_THROW(facemark->loadModel(modelfilename));
vector<Rect> faces;
//Detect faces in the current image
EXPECT_TRUE(facemark->getFaces(img,faces));
//vector to store the landmarks of all the faces in the image
vector< vector<Point2f> > shapes;
EXPECT_NO_THROW(facemark->fit(img,faces,shapes));
shapes.clear();
}
}} // namespace
modules/face/test/test_facemark.cpp
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/*
By downloading, copying, installing or using the software you agree to this
license. If you do not agree to this license, do not download, install,
copy or use the software.
License Agreement
For Open Source Computer Vision Library
(3-clause BSD License)
Copyright (C) 2013, OpenCV Foundation, all rights reserved.
Third party copyrights are property of their respective owners.
Redistribution and use in source and binary forms, with or without modification,
are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright notice,
this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.
* Neither the names of the copyright holders nor the names of the contributors
may be used to endorse or promote products derived from this software
without specific prior written permission.
This software is provided by the copyright holders and contributors "as is" and
any express or implied warranties, including, but not limited to, the implied
warranties of merchantability and fitness for a particular purpose are
disclaimed. In no event shall copyright holders or contributors be liable for
any direct, indirect, incidental, special, exemplary, or consequential damages
(including, but not limited to, procurement of substitute goods or services;
loss of use, data, or profits; or business interruption) however caused
and on any theory of liability, whether in contract, strict liability,
or tort (including negligence or otherwise) arising in any way out of
the use of this software, even if advised of the possibility of such damage.
This file was part of GSoC Project: Facemark API for OpenCV
Final report: https://gist.github.com/kurnianggoro/74de9121e122ad0bd825176751d47ecc
Student: Laksono Kurnianggoro
Mentor: Delia Passalacqua
*/
#include "test_precomp.hpp"
namespace opencv_test { namespace {
TEST(CV_Face_Facemark, test_utilities) {
string image_file = cvtest::findDataFile("face/david1.jpg", true);
string annotation_file = cvtest::findDataFile("face/david1.pts", true);
string cascade_filename =
cvtest::findDataFile("cascadeandhog/cascades/lbpcascade_frontalface.xml", true);
std::vector<Point2f> facial_points;
EXPECT_NO_THROW(loadFacePoints(annotation_file,facial_points));
Mat img = imread(image_file);
EXPECT_NO_THROW(drawFacemarks(img, facial_points, Scalar(0,0,255)));
CParams params(cascade_filename);
std::vector<Rect> faces;
EXPECT_TRUE(getFaces(img, faces, &params));
}
}} // namespace
modules/face/test/test_facemark_aam.cpp
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/*
By downloading, copying, installing or using the software you agree to this
license. If you do not agree to this license, do not download, install,
copy or use the software.
License Agreement
For Open Source Computer Vision Library
(3-clause BSD License)
Copyright (C) 2013, OpenCV Foundation, all rights reserved.
Third party copyrights are property of their respective owners.
Redistribution and use in source and binary forms, with or without modification,
are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright notice,
this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.
* Neither the names of the copyright holders nor the names of the contributors
may be used to endorse or promote products derived from this software
without specific prior written permission.
This software is provided by the copyright holders and contributors "as is" and
any express or implied warranties, including, but not limited to, the implied
warranties of merchantability and fitness for a particular purpose are
disclaimed. In no event shall copyright holders or contributors be liable for
any direct, indirect, incidental, special, exemplary, or consequential damages
(including, but not limited to, procurement of substitute goods or services;
loss of use, data, or profits; or business interruption) however caused
and on any theory of liability, whether in contract, strict liability,
or tort (including negligence or otherwise) arising in any way out of
the use of this software, even if advised of the possibility of such damage.
This file was part of GSoC Project: Facemark API for OpenCV
Final report: https://gist.github.com/kurnianggoro/74de9121e122ad0bd825176751d47ecc
Student: Laksono Kurnianggoro
Mentor: Delia Passalacqua
*/
/*Usage:
download the opencv_extra from https://github.com/opencv/opencv_extra
and then execute the following commands:
export OPENCV_TEST_DATA_PATH=/home/opencv/opencv_extra/testdata
<build_folder>/bin/opencv_test_face
*/
#include "test_precomp.hpp"
namespace opencv_test { namespace {
static bool customDetector( InputArray image, OutputArray ROIs, CascadeClassifier *face_detector){
Mat gray;
std::vector<Rect> & faces = *(std::vector<Rect>*) ROIs.getObj();
faces.clear();
if(image.channels()>1){
cvtColor(image.getMat(),gray, COLOR_BGR2GRAY);
}else{
gray = image.getMat().clone();
}
equalizeHist( gray, gray );
face_detector->detectMultiScale( gray, faces, 1.4, 2, CASCADE_SCALE_IMAGE, Size(30, 30) );
return true;
}
TEST(CV_Face_FacemarkAAM, can_create_default) {
FacemarkAAM::Params params;
Ptr<FacemarkAAM> facemark;
EXPECT_NO_THROW(facemark = FacemarkAAM::create(params));
EXPECT_FALSE(facemark.empty());
}
TEST(CV_Face_FacemarkAAM, can_set_custom_detector) {
string cascade_filename =
cvtest::findDataFile("cascadeandhog/cascades/lbpcascade_frontalface.xml", true);
CascadeClassifier face_detector;
EXPECT_TRUE(face_detector.load(cascade_filename));
Ptr<FacemarkAAM> facemark = FacemarkAAM::create();
EXPECT_TRUE(facemark->setFaceDetector((cv::face::FN_FaceDetector)customDetector, &face_detector));
}
TEST(CV_Face_FacemarkAAM, test_workflow) {
string i1 = cvtest::findDataFile("face/david1.jpg", true);
string p1 = cvtest::findDataFile("face/david1.pts", true);
string i2 = cvtest::findDataFile("face/david2.jpg", true);
string p2 = cvtest::findDataFile("face/david2.pts", true);
std::vector<string> images_train;
images_train.push_back(i1);
images_train.push_back(i2);
std::vector<String> points_train;
points_train.push_back(p1);
points_train.push_back(p2);
string cascade_filename =
cvtest::findDataFile("cascadeandhog/cascades/lbpcascade_frontalface.xml", true);
CascadeClassifier face_detector;
EXPECT_TRUE(face_detector.load(cascade_filename));
FacemarkAAM::Params params;
params.n = 1;
params.m = 1;
params.verbose = false;
params.save_model = false;
Ptr<FacemarkAAM> facemark = FacemarkAAM::create(params);
Mat image;
std::vector<Point2f> landmarks;
for(size_t i = 0; i < images_train.size(); i++)
{
image = imread(images_train[i].c_str());
EXPECT_TRUE(loadFacePoints(points_train[i].c_str(),landmarks));
EXPECT_TRUE(landmarks.size()>0);
EXPECT_TRUE(facemark->addTrainingSample(image, landmarks));
}
EXPECT_NO_THROW(facemark->training());
/*------------ Fitting Part ---------------*/
EXPECT_TRUE(facemark->setFaceDetector((cv::face::FN_FaceDetector)customDetector, &face_detector));
string image_filename = cvtest::findDataFile("face/david1.jpg", true);
image = imread(image_filename.c_str());
EXPECT_TRUE(!image.empty());
std::vector<Rect> rects;
std::vector<std::vector<Point2f> > facial_points;
EXPECT_TRUE(facemark->getFaces(image, rects));
EXPECT_TRUE(rects.size()>0);
EXPECT_TRUE(facemark->fit(image, rects, facial_points));
EXPECT_TRUE(facial_points[0].size()>0);
/*------------ Test getData ---------------*/
FacemarkAAM::Data data;
EXPECT_TRUE(facemark->getData(&data));
EXPECT_TRUE(data.s0.size()>0);
}
}} // namespace
modules/face/test/test_facemark_lbf.cpp
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/*
By downloading, copying, installing or using the software you agree to this
license. If you do not agree to this license, do not download, install,
copy or use the software.
License Agreement
For Open Source Computer Vision Library
(3-clause BSD License)
Copyright (C) 2013, OpenCV Foundation, all rights reserved.
Third party copyrights are property of their respective owners.
Redistribution and use in source and binary forms, with or without modification,
are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright notice,
this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.
* Neither the names of the copyright holders nor the names of the contributors
may be used to endorse or promote products derived from this software
without specific prior written permission.
This software is provided by the copyright holders and contributors "as is" and
any express or implied warranties, including, but not limited to, the implied
warranties of merchantability and fitness for a particular purpose are
disclaimed. In no event shall copyright holders or contributors be liable for
any direct, indirect, incidental, special, exemplary, or consequential damages
(including, but not limited to, procurement of substitute goods or services;
loss of use, data, or profits; or business interruption) however caused
and on any theory of liability, whether in contract, strict liability,
or tort (including negligence or otherwise) arising in any way out of
the use of this software, even if advised of the possibility of such damage.
This file was part of GSoC Project: Facemark API for OpenCV
Final report: https://gist.github.com/kurnianggoro/74de9121e122ad0bd825176751d47ecc
Student: Laksono Kurnianggoro
Mentor: Delia Passalacqua
*/
/*Usage:
download the opencv_extra from https://github.com/opencv/opencv_extra
and then execute the following commands:
export OPENCV_TEST_DATA_PATH=/home/opencv/opencv_extra/testdata
<build_folder>/bin/opencv_test_face
*/
#include "test_precomp.hpp"
namespace opencv_test { namespace {
CascadeClassifier cascade_detector;
static bool myCustomDetector( InputArray image, OutputArray ROIs, void * config = 0 ){
Mat gray;
std::vector<Rect> & faces = *(std::vector<Rect>*) ROIs.getObj();
faces.clear();
if(config!=0){
//do nothing
}
if(image.channels()>1){
cvtColor(image.getMat(),gray,COLOR_BGR2GRAY);
}else{
gray = image.getMat().clone();
}
equalizeHist( gray, gray );
cascade_detector.detectMultiScale( gray, faces, 1.4, 2, CASCADE_SCALE_IMAGE, Size(30, 30) );
return true;
}
TEST(CV_Face_FacemarkLBF, can_create_default) {
FacemarkLBF::Params params;
params.n_landmarks = 68;
Ptr<FacemarkLBF> facemark;
EXPECT_NO_THROW(facemark = FacemarkLBF::create(params));
EXPECT_FALSE(facemark.empty());
}
TEST(CV_Face_FacemarkLBF, can_set_custom_detector) {
string cascade_filename =
cvtest::findDataFile("cascadeandhog/cascades/lbpcascade_frontalface.xml", true);
EXPECT_TRUE(cascade_detector.load(cascade_filename));
Ptr<FacemarkLBF> facemark = FacemarkLBF::create();
EXPECT_TRUE(facemark->setFaceDetector(myCustomDetector));
}
TEST(CV_Face_FacemarkLBF, test_workflow) {
string i1 = cvtest::findDataFile("face/david1.jpg", true);
string p1 = cvtest::findDataFile("face/david1.pts", true);
string i2 = cvtest::findDataFile("face/david2.jpg", true);
string p2 = cvtest::findDataFile("face/david2.pts", true);
std::vector<string> images_train;
images_train.push_back(i1);
images_train.push_back(i2);
std::vector<String> points_train;
points_train.push_back(p1);
points_train.push_back(p2);
string cascade_filename =
cvtest::findDataFile("cascadeandhog/cascades/lbpcascade_frontalface.xml", true);
FacemarkLBF::Params params;
params.cascade_face = cascade_filename;
params.verbose = false;
params.save_model = false;
Ptr<FacemarkLBF> facemark = FacemarkLBF::create(params);
Mat image;
std::vector<Point2f> landmarks;
for(size_t i=0;i<images_train.size();i++){
image = imread(images_train[i].c_str());
EXPECT_TRUE(loadFacePoints(points_train[i].c_str(),landmarks));
EXPECT_TRUE(landmarks.size()>0);
EXPECT_TRUE(facemark->addTrainingSample(image, landmarks));
}
EXPECT_NO_THROW(facemark->training());
/*------------ Fitting Part ---------------*/
cascade_detector.load(cascade_filename);
facemark->setFaceDetector(myCustomDetector);
string image_filename = cvtest::findDataFile("face/david1.jpg", true);
image = imread(image_filename.c_str());
EXPECT_TRUE(!image.empty());
std::vector<Rect> rects;
std::vector<std::vector<Point2f> > facial_points;
EXPECT_TRUE(facemark->getFaces(image, rects));
EXPECT_TRUE(rects.size()>0);
EXPECT_TRUE(facemark->fit(image, rects, facial_points));
EXPECT_TRUE(facial_points[0].size()>0);
}
}} // namespace
modules/face/test/test_loadsave.cpp
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/*
By downloading, copying, installing or using the software you agree to this
license. If you do not agree to this license, do not download, install,
copy or use the software.
License Agreement
For Open Source Computer Vision Library
(3-clause BSD License)
Copyright (C) 2013, OpenCV Foundation, all rights reserved.
Third party copyrights are property of their respective owners.
Redistribution and use in source and binary forms, with or without modification,
are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright notice,
this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.
* Neither the names of the copyright holders nor the names of the contributors
may be used to endorse or promote products derived from this software
without specific prior written permission.
This software is provided by the copyright holders and contributors "as is" and
any express or implied warranties, including, but not limited to, the implied
warranties of merchantability and fitness for a particular purpose are
disclaimed. In no event shall copyright holders or contributors be liable for
any direct, indirect, incidental, special, exemplary, or consequential damages
(including, but not limited to, procurement of substitute goods or services;
loss of use, data, or profits; or business interruption) however caused
and on any theory of liability, whether in contract, strict liability,
or tort (including negligence or otherwise) arising in any way out of
the use of this software, even if advised of the possibility of such damage.
*/
#include "test_precomp.hpp"
namespace opencv_test { namespace {
// regression for #1267
// let's make sure, that both Algorithm::save(String) and
// FaceRecognizer::write(String) lead to the same result
void make_test_data(std::vector<cv::Mat> &images, std::vector<int> &labels) {
for (int i=0; i<5; i++) {
cv::Mat m(100,100,CV_8U);
cv::randu(m,0,255);
images.push_back(m);
labels.push_back(i);
}
}
TEST(CV_Face_SAVELOAD, use_save) {
std::vector<cv::Mat> images;
std::vector<int> labels;
make_test_data(images, labels);
cv::Ptr<cv::face::FaceRecognizer> model1 = cv::face::LBPHFaceRecognizer::create();
model1->train(images,labels);
model1->save("fr.xml");
int p1 = model1->predict(images[2]);
cv::Ptr<cv::face::FaceRecognizer> model2 = cv::face::LBPHFaceRecognizer::create();
model2->read("fr.xml");
EXPECT_EQ(model2->empty(), false);
EXPECT_EQ(p1, model2->predict(images[2]));
}
TEST(CV_Face_SAVELOAD, use_write) {
std::vector<cv::Mat> images;
std::vector<int> labels;
make_test_data(images, labels);
cv::Ptr<cv::face::FaceRecognizer> model1 = cv::face::LBPHFaceRecognizer::create();
model1->train(images,labels);
model1->write("fr.xml");
int p1 = model1->predict(images[2]);
cv::Ptr<cv::face::FaceRecognizer> model2 = cv::face::LBPHFaceRecognizer::create();
model2->read("fr.xml");
EXPECT_EQ(model2->empty(), false);
EXPECT_EQ(p1, model2->predict(images[2]));
}
}} // namespace
modules/face/test/test_mace.cpp
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// This file is part of the 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"
#include <fstream>
namespace opencv_test { namespace {
const string FACE_DIR = "face";
const int WINDOW_SIZE = 64;
class MaceTest
{
public:
MaceTest(bool salt);
void run();
protected:
Ptr<MACE> mace;
bool salt;
};
MaceTest::MaceTest(bool use_salt)
{
mace = MACE::create(WINDOW_SIZE);
salt = use_salt;
}
void MaceTest::run()
{
Rect david1 (125,66,58,56);
Rect david2 (132,69,73,74);
Rect detect (199,124,256,274);
string folder = cvtest::TS::ptr()->get_data_path() + FACE_DIR;
Mat train = imread(folder + "/david2.jpg", 0);
Mat tst_p = imread(folder + "/david1.jpg", 0);
Mat tst_n = imread(folder + "/detect.jpg", 0);
vector<Mat> sam_train;
sam_train.push_back( train(Rect(132,69,73,74)) );
sam_train.push_back( train(Rect(130,69,73,72)) );
sam_train.push_back( train(Rect(134,67,73,74)) );
sam_train.push_back( tst_p(Rect(125,66,58,56)) );
sam_train.push_back( tst_p(Rect(123,67,55,58)) );
sam_train.push_back( tst_p(Rect(125,65,58,60)) );
if (salt) mace->salt("it's david"); // "owner's" salt
mace->train(sam_train);
bool self_ok = mace->same(train(david2));
if (salt) mace->salt("this is a test"); // "other's" salt
bool false_A = mace->same(tst_n(detect));
ASSERT_TRUE(self_ok);
ASSERT_FALSE(false_A);
}
TEST(MACE_, unsalted)
{
MaceTest test(false); test.run();
}
TEST(MACE_, salted)
{
MaceTest test(true); test.run();
}
}} // namespace
modules/face/test/test_main.cpp
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/*
By downloading, copying, installing or using the software you agree to this
license. If you do not agree to this license, do not download, install,
copy or use the software.
License Agreement
For Open Source Computer Vision Library
(3-clause BSD License)
Copyright (C) 2013, OpenCV Foundation, all rights reserved.
Third party copyrights are property of their respective owners.
Redistribution and use in source and binary forms, with or without modification,
are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright notice,
this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.
* Neither the names of the copyright holders nor the names of the contributors
may be used to endorse or promote products derived from this software
without specific prior written permission.
This software is provided by the copyright holders and contributors "as is" and
any express or implied warranties, including, but not limited to, the implied
warranties of merchantability and fitness for a particular purpose are
disclaimed. In no event shall copyright holders or contributors be liable for
any direct, indirect, incidental, special, exemplary, or consequential damages
(including, but not limited to, procurement of substitute goods or services;
loss of use, data, or profits; or business interruption) however caused
and on any theory of liability, whether in contract, strict liability,
or tort (including negligence or otherwise) arising in any way out of
the use of this software, even if advised of the possibility of such damage.
*/
#include "test_precomp.hpp"
CV_TEST_MAIN("cv")
modules/face/test/test_precomp.hpp
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// 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.
#ifndef __OPENCV_TEST_PRECOMP_HPP__
#define __OPENCV_TEST_PRECOMP_HPP__
#include "opencv2/ts.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/xobjdetect.hpp"
#include "opencv2/face.hpp"
#include "opencv2/face/bif.hpp"
namespace opencv_test {
using namespace cv::face;
}
#endif