我是学生。最近我使用opencv构建了一个Face识别项目,但我不知道从哪里开始。
通过阅读opencv人脸检测样本,我使用OpenCv4Android成功构建了人脸检测。
现在我开始构建面部识别(使用LBPH算法)部分,我阅读Opencv文档并搜索谷歌我可以实际遵循的教程但我失败了(有很多教程使用javacv但我想改用OpenCv4Android):(
任何人都可以帮助我逐步完成教程,了解如何在OpenCV4Android SDK中使用face识别?非常感谢你。
其他:
请帮助我接下来需要做什么?非常感谢!!!!!
答案 0 :(得分:2)
在java包装器代码生成期间跳过了createFisherFaceRecognizer()方法(以及另外2个createXXXFaceRecognizer()),这是一个已知但尚未解决的问题。
最好的解决方案是使用jni / ndk实现它。你必须建立:
// --- 8< --------- facerec.cpp -------------------------------
#include "jni.h"
#include "opencv2/contrib/contrib.hpp"
#ifdef __cplusplus
extern "C" {
#endif
JNIEXPORT jlong JNICALL Java_FisherFaceRecognizer_createFisherFaceRecognizer_10(JNIEnv* env, jclass);
JNIEXPORT jlong JNICALL Java_FisherFaceRecognizer_createFisherFaceRecognizer_10(JNIEnv* env, jclass) {
try {
cv::Ptr<cv::FaceRecognizer> pfr = cv::createFisherFaceRecognizer();
pfr.addref(); // this is for the 2.4 branch, 3.0 would need a different treatment here
return (jlong) pfr.obj;
} catch (...) {
jclass je = env->FindClass("java/lang/Exception");
env->ThrowNew(je, "sorry, dave..");
}
return 0;
}
JNIEXPORT jlong JNICALL Java_FisherFaceRecognizer_createFisherFaceRecognizer_11(JNIEnv* env, jclass, jint num_components);
JNIEXPORT jlong JNICALL Java_FisherFaceRecognizer_createFisherFaceRecognizer_11(JNIEnv* env, jclass, jint num_components) {
try {
cv::Ptr<cv::FaceRecognizer> pfr = cv::createFisherFaceRecognizer(num_components);
pfr.addref();
return (jlong) pfr.obj;
} catch (...) {
jclass je = env->FindClass("java/lang/Exception");
env->ThrowNew(je, "sorry, dave..");
}
return 0;
}
JNIEXPORT jlong JNICALL Java_FisherFaceRecognizer_createFisherFaceRecognizer_12(JNIEnv* env, jclass, jint num_components, jdouble threshold);
JNIEXPORT jlong JNICALL Java_FisherFaceRecognizer_createFisherFaceRecognizer_12(JNIEnv* env, jclass, jint num_components, jdouble threshold) {
try {
cv::Ptr<cv::FaceRecognizer> pfr = cv::createFisherFaceRecognizer(num_components,threshold);
pfr.addref();
return (jlong) pfr.obj;
} catch (...) {
jclass je = env->FindClass("java/lang/Exception");
env->ThrowNew(je, "sorry, dave..");
}
return 0;
}
#ifdef __cplusplus
}
#endif
// --- 8&lt; --------- FisherFaceRecognizer.java -----------------
import org.opencv.contrib.FaceRecognizer;
import org.opencv.core.Core;
public class FisherFaceRecognizer extends FaceRecognizer {
static{ System.loadLibrary("facerec"); }
private static native long createFisherFaceRecognizer_0();
private static native long createFisherFaceRecognizer_1(int num_components);
private static native long createFisherFaceRecognizer_2(int num_components, double threshold);
public FisherFaceRecognizer () {
super(createFisherFaceRecognizer_0());
}
public FisherFaceRecognizer (int num_components) {
super(createFisherFaceRecognizer_1(num_components));
}
public FisherFaceRecognizer (int num_components, double threshold) {
super(createFisherFaceRecognizer_2(num_components, threshold));
}
}
一旦你完成所有这些(恭喜!!),你会这样称呼它:
FaceRecognizer facerec = new FisherFaceRecognizer();
facerec.load("/sdcard/smile.yml"); // note, that it can't read from apk or zip, so you need to copy it somewhere
Mat img = ...//test face
int [] label = new int[1];
double [] conf = new double[1];
facerec.predict(img, label, conf);