山世光老师的SeetaFace改成安卓NDK编译，可随意加jni接口

/* * * This file is part of the open-source SeetaFace engine, which includes three modules: * SeetaFace Detection, SeetaFace Alignment, and SeetaFace Identification. * * This file is an example of how to use SeetaFace engine for face alignment, the * face alignment method described in the following paper: * * * Coarse-to-Fine Auto-Encoder Networks (CFAN) for Real-Time Face Alignment, * Jie Zhang, Shiguang Shan, Meina Kan, Xilin Chen. In Proceeding of the * European Conference on Computer Vision (ECCV), 2014 * * * Copyright (C) 2016, Visual Information Processing and Learning (VIPL) group, * Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China. * * The codes are mainly developed by Jie Zhang (a Ph.D supervised by Prof. Shiguang Shan) * * As an open-source face recognition engine: you can redistribute SeetaFace source codes * and/or modify it under the terms of the BSD 2-Clause License. * * You should have received a copy of the BSD 2-Clause License along with the software. * If not, see < https://opensource.org/licenses/BSD-2-Clause>. * * Contact Info: you can send an email to SeetaFace@vipl.ict.ac.cn for any problems. * * Note: the above information must be kept whenever or wherever the codes are used. * */ #include <cstdint> #include <fstream> #include <iostream> #include <string> #include "cv.h" #include "highgui.h" #include "/root/SeetaFaceEngine-master/FaceDetection/include/face_detection.h" #include "/root/SeetaFaceEngine-master/FaceAlignment/include/face_alignment.h" #ifdef _WIN32 std::string DATA_DIR = "../../data/"; std::string MODEL_DIR = "../../model/"; #else std::string DATA_DIR = "./data/"; std::string MODEL_DIR = "./model/"; #endif int main(int argc, char** argv) { // Initialize face detection model //seeta::FaceDetection detector("../../../FaceDetection/model/seeta_fd_frontal_v1.0.bin"); seeta::FaceDetection detector("/root/SeetaFaceEngine-master/FaceDetection/model/seeta_fd_frontal_v1.0.bin"); detector.SetMinFaceSize(40); detector.SetScoreThresh(2.f); detector.SetImagePyramidScaleFactor(0.8f); detector.SetWindowStep(4, 4); // Initialize face alignment model //seeta::FaceAlignment point_detector((MODEL_DIR + "seeta_fa_v1.1.bin").c_str()); seeta::FaceAlignment point_detector("/root/SeetaFaceEngine-master/FaceAlignment/model/seeta_fa_v1.1.bin"); //load image IplImage *img_grayscale = NULL; //img_grayscale = cvLoadImage((DATA_DIR + "image_0001.png").c_str(), 0); img_grayscale = cvLoadImage("/root/SeetaFaceEngine-master/imagefilePath/1270343438180.jpg", 0); if (img_grayscale == NULL) { return 0; } //IplImage *img_color = cvLoadImage((DATA_DIR + "image_0001.png").c_str(), 1); IplImage *img_color = cvLoadImage("/root/SeetaFaceEngine-master/imagefilePath/1270343438180.jpg", 1); int pts_num = 5; int im_width = img_grayscale->width; int im_height = img_grayscale->height; unsigned char* data = new unsigned char[im_width * im_height]; unsigned char* data_ptr = data; unsigned char* image_data_ptr = (unsigned char*)img_grayscale->imageData; int h = 0; for (h = 0; h < im_height; h++) { memcpy(data_ptr, image_data_ptr, im_width); data_ptr += im_width; image_data_ptr += img_grayscale->widthStep; } seeta::ImageData image_data; image_data.data = data; image_data.width = im_width; image_data.height = im_height; image_data.num_channels = 1; // Detect faces std::vector<seeta::FaceInfo> faces = detector.Detect(image_data); int32_t face_num = static_cast<int32_t>(faces.size()); if (face_num == 0) { delete[]data; cvReleaseImage(&img_grayscale); cvReleaseImage(&img_color); return 0; } // Detect 5 facial landmarks seeta::FacialLandmark points[5]; point_detector.PointDetectLandmarks(image_data, faces[0], points); // Visualize the results cvRectangle(img_color, cvPoint(faces[0].bbox.x, faces[0].bbox.y), cvPoint(faces[0].bbox.x + faces[0].bbox.width - 1, faces[0].bbox.y + faces[0].bbox.height - 1), CV_RGB(255, 0, 0)); for (int i = 0; i<pts_num; i++) { cvCircle(img_color, cvPoint(points[i].x, points[i].y), 2, CV_RGB(0, 255, 0), CV_FILLED); } cvSaveImage("/root/SeetaFaceEngine-master/result.jpg", img_color); // cv::namedWindow("Test", cv::WINDOW_AUTOSIZE); // cv::imshow("Test", img_color); // cv::waitKey(0); // cv::destroyAllWindows(); // Release memory cvReleaseImage(&img_color); cvReleaseImage(&img_grayscale); delete[]data; return 0; }