/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * Copyright 2012 The MITRE Corporation * * * * Licensed under the Apache License, Version 2.0 (the "License"); * * you may not use this file except in compliance with the License. * * You may obtain a copy of the License at * * * * http://www.apache.org/licenses/LICENSE-2.0 * * * * Unless required by applicable law or agreed to in writing, software * * distributed under the License is distributed on an "AS IS" BASIS, * * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * * See the License for the specific language governing permissions and * * limitations under the License. * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */ /*! * \ingroup cli * \page cli_face_recognition_train Face Recognition Train * \ref cpp_face_recognition_train "C++ Equivalent" * \code * $ br -algorithm 'Open+Cvt(Gray)+Cascade(FrontalFace)+ASEFEyes+Affine(128,128,0.33,0.45)+(Grid(10,10)+SIFTDescriptor(12)+ByRow)/(Blur(1.1)+Gamma(0.2)+DoG(1,2)+ContrastEq(0.1,10)+LBP(1,2)+RectRegions(8,8,6,6)+Hist(59))+PCA(0.95)+Normalize(L2)+Dup(12)+RndSubspace(0.05,1)+LDA(0.98)+Cat+PCA(0.95)+Normalize(L1)+Quantize:NegativeLogPlusOne(ByteL1)' -train ../data/ATT/img FaceRecognitionATT * \endcode */ //! [face_recognition_train] #include int main(int argc, char *argv[]) { br::Context::initialize(argc, argv); const QString trainedModelFile = "FaceRecognitionATT"; if (QFile(trainedModelFile).exists()) return 0; // Already trained br::Globals->algorithm = "Open+Cvt(Gray)+Cascade(FrontalFace)+ASEFEyes+Affine(128,128,0.33,0.45)+(Grid(10,10)+SIFTDescriptor(12)+ByRow)/(Blur(1.1)+Gamma(0.2)+DoG(1,2)+ContrastEq(0.1,10)+LBP(1,2)+RectRegions(8,8,6,6)+Hist(59))+PCA(0.95)+Normalize(L2)+Dup(12)+RndSubspace(0.05,1)+LDA(0.98)+Cat+PCA(0.95)+Normalize(L1)+Quantize:NegativeLogPlusOne(ByteL1)"; // br::Globals->algorithm = "4SF"; // Equally valid alternative. "4SF" is the abbreviation, see openbr/plugins/algorithms.cpp // Note the structure of the `../data/ATT/img` training data: // - Subdirectory for each person // - Multiple images per person // Run `scripts/downloadDatasets.sh` to obtain these images if you haven't already. const QString trainingData = "../data/ATT/img"; // After training completes you can use `FaceRecognitionATT` like `FaceRecognition`: // $ br -algorithm FaceRecognitionATT // provided the `FaceRecognitionATT` file is in your current working directory or in `share/openbr/models/algorithms`. printf("Note: Training will take at least a few minutes to complete.\n"); br::Train(trainingData, trainedModelFile); br::Context::finalize(); return 0; } //! [face_recognition_train]