141 lines
5.2 KiB
C++
141 lines
5.2 KiB
C++
/*
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By downloading, copying, installing or using the software you agree to this
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license. If you do not agree to this license, do not download, install,
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copy or use the software.
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License Agreement
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For Open Source Computer Vision Library
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(3-clause BSD License)
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Copyright (C) 2013, OpenCV Foundation, all rights reserved.
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Third party copyrights are property of their respective owners.
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Redistribution and use in source and binary forms, with or without modification,
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are permitted provided that the following conditions are met:
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* Redistributions of source code must retain the above copyright notice,
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this list of conditions and the following disclaimer.
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* Redistributions in binary form must reproduce the above copyright notice,
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this list of conditions and the following disclaimer in the documentation
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and/or other materials provided with the distribution.
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* Neither the names of the copyright holders nor the names of the contributors
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may be used to endorse or promote products derived from this software
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without specific prior written permission.
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This software is provided by the copyright holders and contributors "as is" and
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any express or implied warranties, including, but not limited to, the implied
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warranties of merchantability and fitness for a particular purpose are
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disclaimed. In no event shall copyright holders or contributors be liable for
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any direct, indirect, incidental, special, exemplary, or consequential damages
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(including, but not limited to, procurement of substitute goods or services;
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loss of use, data, or profits; or business interruption) however caused
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and on any theory of liability, whether in contract, strict liability,
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or tort (including negligence or otherwise) arising in any way out of
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the use of this software, even if advised of the possibility of such damage.
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This file was part of GSoC Project: Facemark API for OpenCV
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Final report: https://gist.github.com/kurnianggoro/74de9121e122ad0bd825176751d47ecc
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Student: Laksono Kurnianggoro
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Mentor: Delia Passalacqua
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*/
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/*Usage:
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download the opencv_extra from https://github.com/opencv/opencv_extra
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and then execute the following commands:
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export OPENCV_TEST_DATA_PATH=/home/opencv/opencv_extra/testdata
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<build_folder>/bin/opencv_test_face
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*/
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#include "test_precomp.hpp"
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namespace opencv_test { namespace {
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CascadeClassifier cascade_detector;
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static bool myCustomDetector( InputArray image, OutputArray ROIs, void * config = 0 ){
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Mat gray;
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std::vector<Rect> & faces = *(std::vector<Rect>*) ROIs.getObj();
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faces.clear();
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if(config!=0){
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//do nothing
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}
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if(image.channels()>1){
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cvtColor(image.getMat(),gray,COLOR_BGR2GRAY);
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}else{
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gray = image.getMat().clone();
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}
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equalizeHist( gray, gray );
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cascade_detector.detectMultiScale( gray, faces, 1.4, 2, CASCADE_SCALE_IMAGE, Size(30, 30) );
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return true;
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}
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TEST(CV_Face_FacemarkLBF, can_create_default) {
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FacemarkLBF::Params params;
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params.n_landmarks = 68;
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Ptr<FacemarkLBF> facemark;
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EXPECT_NO_THROW(facemark = FacemarkLBF::create(params));
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EXPECT_FALSE(facemark.empty());
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}
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TEST(CV_Face_FacemarkLBF, can_set_custom_detector) {
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string cascade_filename =
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cvtest::findDataFile("cascadeandhog/cascades/lbpcascade_frontalface.xml", true);
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EXPECT_TRUE(cascade_detector.load(cascade_filename));
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Ptr<FacemarkLBF> facemark = FacemarkLBF::create();
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EXPECT_TRUE(facemark->setFaceDetector(myCustomDetector));
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}
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TEST(CV_Face_FacemarkLBF, test_workflow) {
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string i1 = cvtest::findDataFile("face/david1.jpg", true);
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string p1 = cvtest::findDataFile("face/david1.pts", true);
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string i2 = cvtest::findDataFile("face/david2.jpg", true);
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string p2 = cvtest::findDataFile("face/david2.pts", true);
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std::vector<string> images_train;
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images_train.push_back(i1);
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images_train.push_back(i2);
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std::vector<String> points_train;
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points_train.push_back(p1);
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points_train.push_back(p2);
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string cascade_filename =
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cvtest::findDataFile("cascadeandhog/cascades/lbpcascade_frontalface.xml", true);
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FacemarkLBF::Params params;
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params.cascade_face = cascade_filename;
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params.verbose = false;
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params.save_model = false;
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Ptr<FacemarkLBF> facemark = FacemarkLBF::create(params);
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Mat image;
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std::vector<Point2f> landmarks;
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for(size_t i=0;i<images_train.size();i++){
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image = imread(images_train[i].c_str());
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EXPECT_TRUE(loadFacePoints(points_train[i].c_str(),landmarks));
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EXPECT_TRUE(landmarks.size()>0);
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EXPECT_TRUE(facemark->addTrainingSample(image, landmarks));
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}
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EXPECT_NO_THROW(facemark->training());
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/*------------ Fitting Part ---------------*/
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cascade_detector.load(cascade_filename);
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facemark->setFaceDetector(myCustomDetector);
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string image_filename = cvtest::findDataFile("face/david1.jpg", true);
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image = imread(image_filename.c_str());
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EXPECT_TRUE(!image.empty());
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std::vector<Rect> rects;
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std::vector<std::vector<Point2f> > facial_points;
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EXPECT_TRUE(facemark->getFaces(image, rects));
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EXPECT_TRUE(rects.size()>0);
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EXPECT_TRUE(facemark->fit(image, rects, facial_points));
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EXPECT_TRUE(facial_points[0].size()>0);
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}
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}} // namespace
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