目录
前言1、准备工作2、开敲2.1采集32BGRA图像，并转换成24BGR图像2.2 加载模型，初始化，实现人脸检测，关键点提取，活体检测3、报错集合4、效果前言
前脚把讯飞的语音唤醒+识别的功能整合到到了项目中，后脚就说要加入人脸检测+活体检测+人脸识别的功能。哎，那就整吧。
还好之前就关注了一个人脸识别的框架SeetaFace6, SeetaFace6 是中科视拓技术开发体系最新的版本，该版本为开放版，免费供大家使用。该版本包含了人脸识别、活体检测、属性识别、质量评估模块。
SeetaFace6由C++编写跨平台，任何的平台都可以用，有些比较不常见的平台就需要自己编译了，不过这些都不是事，最主要的是免费可商用。
1、准备工作
SeetaFace6 下载对应的IOS开发包，记得下载模型文件
SeetaFace6 入门教程
下载完，打开项目，进入TARGETS->General->Frameworks 中将下载的库添加进去，在加入依赖库
在配置一下Enable Bitcode 为 No
2、开敲
2.1采集32BGRA图像，并转换成24BGR图像
主要是SeetaFace6传入的图像格式就为24BGR，在设置kCVPixelBufferPixelFormatTypeKey时，也是有kCVPixelFormatType_24BGR图像格式可以设置的，但是不知道是不是我真机的原因，很多格式我都试过了，就kCVPixelFormatType_32BGRA和kCVPixelFormatType_420YpCbCr8BiPlanarVideoRange可以用，如果你的设备可以直接使用kCVPixelFormatType_24BGR图像格式采集，就跳过转换那一步，直接提取数据送到人脸检测中。开整
ps:相关的注释都写在代码了，这就不在复述了
FFVideoCapturer.h
#import <UIKit/UIKit.h>#import <Foundation/Foundation.h>#import <AVFoundation/AVFoundation.h>NS_ASSUME_NONNULL_BEGIN@protocol FFVideoCapturerDelegate <NSObject>/**摄像头采集数据输出@param sampleBuffer 采集到的数据*/- (void)videoCaptureOutputDataCallback:(CMSampleBufferRef)sampleBuffer;/**摄像头采集数据输出@param frame 采集到的数据@param channels 通道@param width 宽@param height 高*/- (void)videoCaptureOutputDataBGRCallback:(uint8_t *)frame Channels:(int)channels Width:(int)width Height:(int)height;@end@interface FFVideoCapturerParam : NSObject/*设置视频相关参数对象*//**摄像头位置，默认为前置摄像头AVCaptureDevicePositionFront*/@property (nonatomic,assign) AVCaptureDevicePosition devicePosition;/**视频分辨率 默认AVCaptureSessionPreset1280x720*/@property (nonatomic,assign) AVCaptureSessionPreset sessionPreset;/**帧率 单位为 帧/秒, 默认为15帧/秒*/@property (nonatomic,assign) NSInteger frameRate;/**摄像头方向 默认为当前手机屏幕方向*/@property (nonatomic,assign) AVCaptureVideoOrientation videoOrientation;@end@interface FFVideoCapturer : NSObject/**代理*/@property (nonatomic,weak) id <FFVideoCapturerDelegate> delegate;/** 预览图层，把这个图层加在View上并且为这个图层设置frame就能播放 */@property (nonatomic,strong,readonly)AVCaptureVideoPreviewLayer *videoPreviewLayer;/**视频采集参数对象*/@property (nonatomic,strong) FFVideoCapturerParam *capturerParam;/**单例*/+(instancetype) shareInstance;/**初始化方法@param param 参数@return 实例*/- (int)initWithCaptureParam:(FFVideoCapturerParam *)param error:(NSError **)error;/**开始采集*/- (NSError *)startCapture;/**停止采集*/- (NSError *)stopCapture;/**抓图 block返回UIImage*/- (void)imageCapture:(void(^)(UIImage *image))completion;/**动态调整帧率*/- (NSError *)adjustFrameRate:(NSInteger)frameRate;/** 翻转摄像头 */- (NSError *)reverseCamera;/** 采集过程中动态修改视频分辨率 */- (void)changeSessionPreset:(AVCaptureSessionPreset)sessionPreset;@endNS_ASSUME_NONNULL_END
FFVideoCapturer.m
@implementation FFVideoCapturerParam-(instancetype)init{if(self = [super init]){/*设置默认参数*/_devicePosition = AVCaptureDevicePositionFront;//默认前摄像头_sessionPreset = AVCaptureSessionPreset640x480;//默认分辨率_frameRate = 25;_videoOrientation = AVCaptureVideoOrientationLandscapeRight;//摄像头方向switch ([UIDevice currentDevice].orientation) {case UIDeviceOrientationPortrait:case UIDeviceOrientationPortraitUpsideDown:_videoOrientation = AVCaptureVideoOrientationPortrait;break;case UIDeviceOrientationLandscapeRight:_videoOrientation = AVCaptureVideoOrientationLandscapeRight;break;case UIDeviceOrientationLandscapeLeft:_videoOrientation = AVCaptureVideoOrientationLandscapeLeft;break;default:break;}}return self;}@end@interface FFVideoCapturer() <AVCaptureVideoDataOutputSampleBufferDelegate>/** 采集会话 */@property (nonatomic, strong)AVCaptureSession *captureSession;/**采集输入设备 也就是摄像头*/@property (nonatomic, strong)AVCaptureDeviceInput *captureDeviceInput;/**采集视频输出*/@property (nonatomic, strong) AVCaptureVideoDataOutput *captureVideoDataOutput;/**采集音频输出*/@property (nonatomic, strong) AVCaptureAudioDataOutput *captureAudioDataOutput;/** 抓图输出 */@property (nonatomic, strong) AVCaptureStillImageOutput *captureStillImageOutput;/**预览图层，把这个图层加在View上就能播放*/@property (nonatomic, strong) AVCaptureVideoPreviewLayer *videoPreviewLayer;/**输出连接*/@property (nonatomic, strong) AVCaptureConnection *captureConnection;/**是否已经在采集*/@property (nonatomic,assign) BOOL isCapturing;/**开始记录毫秒*/@property (nonatomic,assign) UInt64 startRecordTime;/**结束记录毫秒*/@property (nonatomic,assign) UInt64 endRecordTime;/**存储状态,保存一帧原始数据*/@property (nonatomic,assign) BOOL storeState;@endstatic FFVideoCapturer* _instance = nil;@implementation FFVideoCapturer- (void)dealloc{NSLog(@"%s",__func__);}/**单例*/+(instancetype) shareInstance{static dispatch_once_t onceToken;dispatch_once(&onceToken, ^{_instance = [[self alloc]init];});return _instance;}- (int)initWithCaptureParam:(FFVideoCapturerParam *)param error:(NSError * _Nullable __autoreleasing *)error{if(param){NSError *errorMessage = nil;self.storeState = NO;self.capturerParam = param;/****************** 设置输入设备 ************************///获取所有摄像头NSArray *cameras = [AVCaptureDevice devicesWithMediaType:AVMediaTypeVideo];//获取当前方向摄像头NSArray *captureDeviceArray = [cameras filteredArrayUsingPredicate:[NSPredicate predicateWithFormat:@"position == %d",_capturerParam.devicePosition]];if(captureDeviceArray.count == 0){errorMessage = [self p_errorWithDomain:@"MAVideoCapture::Get Camera Faild!"];return -1;}//转化为输入设备AVCaptureDevice *camera = captureDeviceArray.firstObject;self.captureDeviceInput = [AVCaptureDeviceInput deviceInputWithDevice:camera error:&errorMessage];if(errorMessage){errorMessage = [self p_errorWithDomain:@"MAVideoCapture::AVCaptureDeviceInput init error"];return -1;}/****************** 设置输出设备 ************************///设置视频输出//初始化视频输出对象self.captureVideoDataOutput = [[AVCaptureVideoDataOutput alloc]init];//kCVPixelFormatType_24BGRNSDictionary *videoSetting = [NSDictionary dictionaryWithObjectsAndKeys: [NSNumber numberWithInt:kCVPixelFormatType_32BGRA],kCVPixelBufferPixelFormatTypeKey, nil];[self.captureVideoDataOutput setVideoSettings:videoSetting];////设置输出串行队列和数据回调dispatch_queue_t outputQueue = dispatch_queue_create("VCVideoCapturerOutputQueue", DISPATCH_QUEUE_SERIAL);//设置数据回调代理和串行队列线程[self.captureVideoDataOutput setSampleBufferDelegate:self queue:outputQueue];//丢弃延迟的帧self.captureVideoDataOutput.alwaysDiscardsLateVideoFrames = YES;//设置抓图输出self.captureStillImageOutput = [[AVCaptureStillImageOutput alloc]init];// [self.captureStillImageOutput setOutputSettings:@{AVVideoCodecKey:AVVideoCodecJPEG}];/****************** 初始化会话 ************************/self.captureSession = [[AVCaptureSession alloc]init];self.captureSession.usesApplicationAudioSession = NO;//添加输入设备到会话if([self.captureSession canAddInput:self.captureDeviceInput]){[self.captureSession addInput:self.captureDeviceInput];}else{[self p_errorWithDomain:@"MAVideoCapture::Add captureDeviceInput failed!"];return -1;}//添加输出设备到会话if([self.captureSession canAddOutput:self.captureVideoDataOutput]){[self.captureSession addOutput:self.captureVideoDataOutput];}else{[self p_errorWithDomain:@"MAVideoCapture::Add captureVideoDataOutput Faild!"];return -1;}//添加抓图输出到会话if([self.captureSession canAddOutput:self.captureStillImageOutput]){[self.captureSession addOutput:self.captureStillImageOutput];}else{[self p_errorWithDomain:@"MAVideoCapture::Add captureStillImageOutput Faild!"];return -1;}//设置分辨率if([self.captureSession canSetSessionPreset:self.capturerParam.sessionPreset]){self.captureSession.sessionPreset = self.capturerParam.sessionPreset;}/****************** 初始化连接 ************************/self.captureConnection = [self.captureVideoDataOutput connectionWithMediaType:AVMediaTypeVideo];//设置摄像头镜像，不设置的话前置摄像头采集出来的图像是反转的if(self.capturerParam.devicePosition == AVCaptureDevicePositionFront && self.captureConnection.supportsVideoMirroring){self.captureConnection.videoMirrored = YES;}self.captureConnection.videoOrientation = self.capturerParam.videoOrientation;//AVCaptureVideoPreviewLayer可以用来快速呈现相机(摄像头)所收集到的原始数据。self.videoPreviewLayer = [AVCaptureVideoPreviewLayer layerWithSession:self.captureSession];self.videoPreviewLayer.connection.videoOrientation = self.capturerParam.videoOrientation;self.videoPreviewLayer.videoGravity = AVLayerVideoGravityResizeAspectFill;if(error){*error = errorMessage;}//设置帧率[self adjustFrameRate:self.capturerParam.frameRate];}return 1;}-(NSError *)startCapture{//开始采集if (self.isCapturing){return [self p_errorWithDomain:@"MAVideoCapture::startCapture failed! is capturing!"];}// 摄像头权限判断AVAuthorizationStatus videoAuthStatus = [AVCaptureDevice authorizationStatusForMediaType:AVMediaTypeVideo];if(videoAuthStatus != AVAuthorizationStatusAuthorized){[self p_errorWithDomain:@"MAVideoCapture::Camera Authorizate failed!"];}[self.captureSession startRunning];self.isCapturing = YES;_startRecordTime = [[NSDate date] timeIntervalSince1970]*1000;//获取开始时间return nil;}-(NSError *)stopCapture{//停止采集if(!self.isCapturing){return [self p_errorWithDomain:@"MAVideoCapture::stopCapture failed! is not capturing!"];}[self.captureSession stopRunning];self.isCapturing = NO;return nil;}-(NSError *)reverseCamera{//翻转摄像头//获取所有摄像头NSArray *cameras = [AVCaptureDevice devicesWithMediaType:AVMediaTypeVideo];//获取当前摄像头方向AVCaptureDevicePosition currentPosition = self.captureDeviceInput.device.position;AVCaptureDevicePosition toPosition = AVCaptureDevicePositionUnspecified;//判断当前摄像头是前置摄像头还是后摄像头if(currentPosition == AVCaptureDevicePositionBack || currentPosition == AVCaptureDevicePositionUnspecified){toPosition = AVCaptureDevicePositionFront;}else{toPosition = AVCaptureDevicePositionBack;}NSArray *captureDevviceArray = [cameras filteredArrayUsingPredicate:[NSPredicate predicateWithFormat:@"position == %d",toPosition]];if(captureDevviceArray.count == 0){return [self p_errorWithDomain:@"MAVideoCapture::reverseCamera failed! get new Camera Faild!"];}NSError *errpr = nil;AVCaptureDevice *camera = captureDevviceArray.firstObject;AVCaptureDeviceInput *newInput = [AVCaptureDeviceInput deviceInputWithDevice:camera error:&errpr];//修改输入设备[self.captureSession beginConfiguration];[self.captureSession removeInput:self.captureDeviceInput];if([_captureSession canAddInput:newInput]){[_captureSession addInput:newInput];self.captureDeviceInput = newInput;}[self.captureSession commitConfiguration];//重新获取连接并设置方向self.captureConnection = [self.captureVideoDataOutput connectionWithMediaType:AVMediaTypeVideo];if(toPosition == AVCaptureDevicePositionFront && self.captureConnection.supportsVideoMirroring){self.captureConnection.videoMirrored = YES;}self.captureConnection.videoOrientation = self.capturerParam.videoOrientation;return nil;}- (void)imageCapture:(void (^)(UIImage * _Nonnull))completion{//抓图 block返回UIImage[self.captureStillImageOutput captureStillImageAsynchronouslyFromConnection:self.captureConnection completionHandler:^(CMSampleBufferRef _Nullable imageDataSampleBuffer, NSError * _Nullable error){UIImage *image = [UIImage imageWithData:[AVCaptureStillImageOutput jpegStillImageNSDataRepresentation:imageDataSampleBuffer]];completion(image);}];}- (NSError *)adjustFrameRate:(NSInteger)frameRate{//动态调整帧率NSError *error = nil;AVFrameRateRange *frameRateRange = [self.captureDeviceInput.device.activeFormat.videoSupportedFrameRateRanges objectAtIndex:0];if (frameRate > frameRateRange.maxFrameRate || frameRate < frameRateRange.minFrameRate){return [self p_errorWithDomain:@"MAVideoCapture::Set frame rate failed! out of range"];}[self.captureDeviceInput.device lockForConfiguration:&error];self.captureDeviceInput.device.activeVideoMinFrameDuration = CMTimeMake(1, (int)self.capturerParam.frameRate);self.captureDeviceInput.device.activeVideoMaxFrameDuration = CMTimeMake(1, (int)self.capturerParam.frameRate);[self.captureDeviceInput.device unlockForConfiguration];return error;}- (void)changeSessionPreset:(AVCaptureSessionPreset)sessionPreset{//采集过程中动态修改视频分辨率self.capturerParam.sessionPreset = sessionPreset;if([self.captureSession canSetSessionPreset:self.capturerParam.sessionPreset]){self.captureSession.sessionPreset = self.capturerParam.sessionPreset;}}- (NSError *)p_errorWithDomain:(NSString *)domain{NSLog(@"%@",domain);return [NSError errorWithDomain:domain code:1 userInfo:nil];}#pragma mark - AVCaptureVideoDataOutputSampleBufferDelegate/**摄像头采集的数据回调@param output 输出设备@param sampleBuffer 帧缓存数据，描述当前帧信息@param connection 连接*/- (void)captureOutput:(AVCaptureOutput *)output didOutputSampleBuffer:(CMSampleBufferRef)sampleBuffer fromConnection:(AVCaptureConnection *)connection{// if([self.delegate respondsToSelector:@selector(videoCaptureOutputDataCallback:)]){// [self.delegate videoCaptureOutputDataCallback:sampleBuffer];// }_endRecordTime = [[NSDate date] timeIntervalSince1970]*1000;if(_endRecordTime-_startRecordTime > 100){//500毫秒转换一次，并送去检测检测。NSLog(@"====>decode start:%llu",_endRecordTime-_startRecordTime);[self processVideoSampleBufferToRGB:sampleBuffer];_startRecordTime = [[NSDate date] timeIntervalSince1970]*1000;}}/**视频格式为：kCVPixelFormatType_32BGRA 转换成BGR图像格式*/- (void)processVideoSampleBufferToRGB:(CMSampleBufferRef)sampleBuffer{CVImageBufferRef pixelBuffer = CMSampleBufferGetImageBuffer(sampleBuffer);//size_t count = CVPixelBufferGetPlaneCount(pixelBuffer);//printf("%zud\n", count);//表示开始操作数据CVPixelBufferLockBaseAddress(pixelBuffer, 0);int pixelWidth = (int) CVPixelBufferGetWidth(pixelBuffer);int pixelHeight = (int) CVPixelBufferGetHeight(pixelBuffer);// BGRA数据uint8_t *frame = CVPixelBufferGetBaseAddressOfPlane(pixelBuffer, 0);uint8_t *bgr = malloc(pixelHeight * pixelWidth * 3);// uint8_t *rgb = malloc(pixelHeight * pixelWidth * 3);int BGRA = 4;int BGR = 3;for (int i = 0; i < pixelWidth * pixelHeight; i ++) {//循环踢掉alphaNSUInteger byteIndex = i * BGRA;NSUInteger newByteIndex = i * BGR;// Get BGRCGFloat blue = frame[byteIndex + 0];CGFloat green = frame[byteIndex + 1];CGFloat red = frame[byteIndex + 2];//CGFloat alpha = rawData[byteIndex + 3];// 这里Alpha值是没有用的// Set RGB To New RawDatabgr[newByteIndex + 0] = blue; // Bbgr[newByteIndex + 1] = green; // Gbgr[newByteIndex + 2] = red; // R// rgb[newByteIndex + 0] = red; // R// rgb[newByteIndex + 1] = green; // G// rgb[newByteIndex + 2] = blue; // B}// UnlockCVPixelBufferUnlockBaseAddress(pixelBuffer, 0);#if 0if(self.storeState){//保存一帧BGR数据NSString *dir = [NSSearchPathForDirectoriesInDomains(NSDocumentDirectory, NSUserDomainMask, YES) lastObject];NSString *documentPath = [NSString stringWithFormat:@"%@/11.bgr", dir];FILE* fp = fopen(documentPath.UTF8String, "ab+");if(fp){size_t size = fwrite(bgr, 1, pixelHeight * pixelWidth * 3, fp);NSLog(@"handleVideoData---fwrite:%lu", size);fclose(fp);}self.storeState = YES;}#endif//转换完成，数据回调if([self.delegate respondsToSelector:@selector(videoCaptureOutputDataBGRCallback:Channels:Width:Height:)]){[self.delegate videoCaptureOutputDataBGRCallback:bgr Channels:3 Width:pixelWidth Height:pixelHeight ];}if (NULL != bgr){free (bgr);bgr = NULL;}}@end
2.2 加载模型，初始化，实现人脸检测，关键点提取，活体检测
FaceRecognizerManagers.h
#import <Foundation/Foundation.h>#import <AVFoundation/AVFoundation.h>NS_ASSUME_NONNULL_BEGIN@protocol FaceRecognizerManagersDelegate <NSObject>/**检测到人脸@param face_frame 检测到的人脸坐标@param width 宽@param height 高*/- (void)faceDetectSuccessCallback:(CGRect)face_frame Width:(int)width Height:(int)height;@end@interface FaceRecognizerManagers : NSObject/**代理*/@property (nonatomic,weak) id <FaceRecognizerManagersDelegate> delegate;/**单例*/+(instancetype) shareInstance;/**初始化人脸识别相关类*/- (void) initFaceRecognizerObject;/**人脸检测@param frame 转换完成的BGR数据@param channels 通道号，默认为3@param width 宽@param height 高*/- (void) faceDetect:(uint8_t *)frame Channels:(int)channels Width:(int)width Height:(int)height;@endNS_ASSUME_NONNULL_END
FaceRecognizerManagers.m
#import "FaceRecognizerManagers.h"#import <SeetaFaceDetector600/seeta/FaceDetector.h>#import <SeetaFaceAntiSpoofingX600/seeta/FaceAntiSpoofing.h>#import <SeetaFaceLandmarker600/seeta/FaceLandmarker.h>#import <SeetaFaceRecognizer610/seeta/FaceRecognizer.h>@interface FaceRecognizerManagers(){seeta::FaceDetector *facedector;//人脸检测seeta::FaceLandmarker *faceLandmarker;//人脸关键点seeta::FaceAntiSpoofing *faceantspoofing;//活体检测seeta::FaceRecognizer *faceRecognizer;//人脸识别}/**人脸检测模型路径*/@property (nonatomic,copy) NSString *faceDector_path;/**人脸关键点模型路径*/@property (nonatomic,copy) NSString *faceLandmarker_path;/**局部活体检测模型路径*/@property (nonatomic,copy) NSString *fasfirst_path;/**全局活体检测模型路径*/@property (nonatomic,copy) NSString *fassecond_path;/**人脸识别模型路径*/@property (nonatomic,copy) NSString *faceRecognizer_path;@endstatic FaceRecognizerManagers* _instance = nil;const char *SPOOF_STATE_STR[] = {"real face","spoof face","unknown","judging" };@implementation FaceRecognizerManagers/**单例*/+(instancetype) shareInstance{static dispatch_once_t onceToken;dispatch_once(&onceToken, ^{_instance = [[self alloc]init];});return _instance;}-(void) initParam{_faceDector_path = [[NSBundle mainBundle] pathForResource:@"face_detector" ofType:@"csta"];_faceLandmarker_path = [[NSBundle mainBundle] pathForResource:@"face_landmarker_pts5" ofType:@"csta"];_fasfirst_path = [[NSBundle mainBundle] pathForResource:@"fas_first" ofType:@"csta"];_fassecond_path = [[NSBundle mainBundle] pathForResource:@"fas_second" ofType:@"csta"];_faceRecognizer_path = [[NSBundle mainBundle] pathForResource:@"face_recognizer" ofType:@"csta"];// NSLog(@"===>%@====>%@",path,_faceDector_path);}- (void)facedector_init{seeta::ModelSetting setting;setting.append([_faceDector_path UTF8String]);setting.set_device( seeta::ModelSetting::AUTO );setting.set_id(0);facedector = new seeta::FaceDetector(setting);// facedector->set(seeta::FaceDetector::PROPERTY_MIN_FACE_SIZE, 100);}- (void)facelandmarker_init{seeta::ModelSetting setting;setting.append([_faceLandmarker_path UTF8String]);faceLandmarker = new seeta::FaceLandmarker(setting);}- (void)faceantspoofing_init:(int)version{seeta::ModelSetting setting;switch (version){case 0:setting.append([_fasfirst_path UTF8String]);break;case 1:setting.append([_fassecond_path UTF8String]);break;case 2:setting.append([_fasfirst_path UTF8String]);setting.append([_fassecond_path UTF8String]);break;default:NSLog(@"version input error");throw 2;}faceantspoofing = new seeta::FaceAntiSpoofing(setting);}- (void)facerecognizer_ini{seeta::ModelSetting setting;setting.append([_faceRecognizer_path UTF8String]);faceRecognizer = new seeta::FaceRecognizer(setting);}- (void)initFaceRecognizerObject{//初始化默认参数[self initParam];//初始化人脸检测[self facedector_init];//初始化人脸关键点[self facelandmarker_init];//初始化活体检测 0局部 1全局 2局部+全局[self faceantspoofing_init:0];//初始化人脸识别// [self facerecognizer_ini];}//在视频识别模式中，如果该识别结果已经完成，需要开始新的视频的话，需要调用ResetVideo重置识别状态，然后重新输入视频- (void) reset_video {faceantspoofing->ResetVideo();}//设置活体检测的视频帧数- (void) set_frame:(int32_t)number{faceantspoofing->SetVideoFrameCount(number);//默认是10;}//人脸检测_检测人脸并放到数组中- (SeetaFaceInfoArray) face_detect:(SeetaImageData)image{if (facedector == NULL){NSLog(@"dont init facedector");throw 1;}return facedector->detect(image);}//关键点提取_提取图像中人脸的特征点- (std::vector<SeetaPointF>) face_mark:(const SeetaImageData)image WithSeetaRect:(const SeetaRect)face{if (faceLandmarker == NULL){NSLog(@"dont init facelandmarker");throw 1;}//这里检测到的5点坐标循序依次为，左眼中心、右眼中心、鼻尖、左嘴角和右嘴角。return faceLandmarker->mark(image, face);}//活体检测_way如果是0为单帧识别,1为多帧识别- (int) face_predict:(const SeetaImageData)image WithSeetaRect:(const SeetaRect)face WithSeetaPointF:(std::vector<SeetaPointF>)v_points WithWay:(int)way{if (faceantspoofing == NULL){NSLog(@"faceantspoofing dont init");throw 1;}SeetaPointF points[5];for (int i = 0; i < 5; i++){points[i] = v_points.at(i);}int status;switch (way){case 0:status = faceantspoofing->Predict(image, face, points);break;case 1:status = faceantspoofing->PredictVideo(image, face, points);break;default:NSLog(@"way input error") ;throw 2;}// auto status1 = faceantspoofing->PredictVideo(image, face, points);switch (status) {case seeta::FaceAntiSpoofing::REAL:NSLog(@"真实人脸"); break;case seeta::FaceAntiSpoofing::SPOOF:NSLog(@"攻击人脸"); break;case seeta::FaceAntiSpoofing::FUZZY:NSLog(@"无法判断"); break;case seeta::FaceAntiSpoofing::DETECTING:NSLog(@"正在检测"); break;}return status;}//人脸对比_获取图片中特征- (float*) fase_extract_feature:(const SeetaImageData)image WithSeetaPointF:(std::vector<SeetaPointF>)faces{if (faceRecognizer == NULL){NSLog(@"dont init facerecongizer");throw 1;}SeetaPointF points[5];for (int i = 0; i < 5; i++){points[i] = faces.at(i);}float* feature = new float[faceRecognizer->GetExtractFeatureSize()];faceRecognizer->Extract(image, points, feature);return feature;}//人脸对比_比较两个特征判断是否相似- (float) fase_compare:(float*)feature1 With:(float*)feature2{return faceRecognizer->CalculateSimilarity(feature1, feature2);}//按人脸大小排列人脸数组- (void) face_sort:(SeetaFaceInfoArray)face_sfia{int m = face_sfia.size;std::vector<SeetaFaceInfo> faces(m);for (int i = 0; i < face_sfia.size; i++){faces.at(i) = face_sfia.data[i];}std::partial_sort(faces.begin(), faces.begin() + 1, faces.end(), [](SeetaFaceInfo a, SeetaFaceInfo b) {return a.pos.width > b.pos.width;});for (int i = 0; i < face_sfia.size; i++){face_sfia.data[i] = faces.at(i);}}//BGR数据转SeetaImageData- (SeetaImageData) frame_to_seetaImageData:(uint8_t *)frame Channels:(int)channels Width:(int)width Height:(int)height{SeetaImageData img;img.width = width;img.height = height;img.channels = channels;img.data = frame;return img;}//检测数据过来了- (void)faceDetect:(uint8_t *)frame Channels:(int)channels Width:(int)width Height:(int)height{SeetaImageData img = [self frame_to_seetaImageData:frame Channels:channels Width:width Height:height];SeetaFaceInfoArray infoArray = [self face_detect:img];if (infoArray.size <= 0){NSLog(@"未检测到脸");return;}if(infoArray.size > 1){[self face_sort:infoArray];}for (int i=0; i<infoArray.size; i++) {//循环取出检测到的人脸,在根据检测出的人脸提取关键点，活体检测，人脸对比一系列操作。SeetaFaceInfo faceInfo = infoArray.data[i];if(self.delegate && [self.delegate respondsToSelector:@selector(faceDetectSuccessCallback:Width:Height:)]){//NSLog(@"Face_X->%d，Face_Y->%d，Face_Width->%d，Face_Height->%d",faceInfo->pos.x,faceInfo->pos.y,faceInfo->pos.width,faceInfo->pos.height);CGRect frame = CGRectMake(faceInfo.pos.x, faceInfo.pos.y, faceInfo.pos.width, faceInfo.pos.height);[self.delegate faceDetectSuccessCallback:frame Width:width Height:height];}std::vector<SeetaPointF> spf = [self face_mark:img WithSeetaRect:infoArray.data[i].pos];int status = [self face_predict:img WithSeetaRect:infoArray.data[i].pos WithSeetaPointF:spf WithWay:1];if(self.delegate && [self.delegate respondsToSelector:@selector(facePredictCallback:)]){[self.delegate facePredictCallback:status];}NSLog(@"status->%d，SPOOF_STATE_STR->%s",status,SPOOF_STATE_STR[status]);//检测到活体后做人脸对比，人脸对比的代码已实现，但未加入测试。}}@end
3、报错集合
不配置Enable Bitcode 为 No
这错是报找不到C++的文件，需要将导入了SeetaFace6框的.m文件修改为.mm文件，还有一种方式是设置Build Settings->Compile Sources As->Objective-C++,不过不建议设置Compile Sources As，设置了会导致C的无法使用
报"Unknown type name ‘SeetaFaceDetector’", 这错真的很奇葩，奇葩到我都想哭了，突然之间就出现的，我把人脸识别库都删掉还是搞不到，最后新建一个项目，重新导入就可以了😢
4、效果
最后贴出 “本人” 头像检测结果
Demo：/download/FF_lz/15039639
