vendor: OpenCV 5.0.0 snapshot at 755e50675d97db9b7d449d8bd6b09888646f6c6e

2026-08-22 00:11:13 +08:00
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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