eye_center = (x + x2 + w2//2, y + y2 + h3//2)#获取眼睛中心radius =int(round((w2 + h3)*0.25))#获取半径frame = cv.circle(frame, eye_center, radius, (255,0,0),4) cv.imshow('Capture - Face detection', frame) parser = argparse.ArgumentParser(description='Code for Cascade Cl...
faceRects = fd.detect(gray, scaleFactor = 1.1, minNeighbors = 5, minSize = (30, 30)) frameClone = frame.copy() # loop over the face bounding boxes and draw them for (fX, fY, fW, fH) in faceRects: cv2.rectangle(frameClone, (fX, fY), (fX + fW, fY + fH), (0, 255, 0...
catch(...){LOGD("nativeCreateObject caught unknown exception");jclass je=jenv->FindClass("java/lang/Exception");jenv->ThrowNew(je,"Unknown exception in JNI code of DetectionBasedTracker.nativeCreateObject()");return0;}LOGD("Java_org_opencv_samples_facedetect_DetectionBasedTracker_nativeCreateObject...
在上一篇攻略一,我们实现了人脸检测(detection),本篇攻略二,我们将实现人脸识别(recognition),不仅要识别这是一张脸,而且要识别这是谁的脸。不仅要在人脸区域打个方框,而且还要打个标签,说明这是谁的脸。人脸识别的运行效果,见以上视频。 本篇攻略使用的人脸识别的技术原理,可以参阅 《 Face recognition using Ope...
可以在下面的GitHub找到整个人脸检测实现的详细代码模板。 https://github.com/wanghao221/Face-Detection 注意:本教程仅适用于图像文件中的人脸检测,而不适用于实时摄像机源或视频。 是不是感觉很棒?你刚刚学习了如何实现人工智能和机器学习最有趣的应用之一。希望你喜欢我的博客。谢谢阅读!
前段时间使用OpenCV的库函数实现了人脸检测和人脸识别,笔者的实验环境为VS2010+OpenCV2.4.4,OpenCV的环境配置网上有很多,不再赘述。检测的代码网上很多,记不清楚从哪儿copy的了,识别的代码是从OpenCV官网上找到的:http://docs.opencv.org/trunk/modules/contrib/doc/facerec/facerec_api.html ...
const String modelBinary = "face_detector/res10_300x300_ssd_iter_140000.caffemodel";// void videoDetection(string pathname); void imageDetection(string pathname); void training(); int main(int argc, char** argv) { int code = -1;
importorg.opencv.imgcodecs.Imgcodecs; importorg.opencv.videoio.VideoCapture; publicclassJavaFaceDetection{ publicNetgetNet{ returnnet; } publicvoidsetNet(Netnet){ this.net=net; } privateNetnet; privatefloatscore_t=0.5f; publicJavaFaceDetection(Stringmodel_path,Stringpb_txt_file,floatconf){ ...
{ LOGD("nativeCreateObject caught unknown exception"); jclass je = jenv->FindClass("java/lang/Exception"); jenv->ThrowNew(je, "Unknown exception in JNI code {highgui::VideoCapture_n_1VideoCapture__()}"); return 0; } LOGD("Java_org_opencv_samples_facedetect_DetectionBasedTracker_native...
Now we find the faces in the image. If faces are found,it returns the positions of detected faces asRect(x,y,w,h). Once we get these locations,we can create a ROI for the face and apply eye detection on this ROI(since eyes are always on the face !!!). ...