公司项目使用过程中，为了配合市场需要，需要增加人脸识别+活体检测的功能。并且要求人脸识别的样式接近于主流产品的样式。所以选择了方便快捷的虹软人脸识别SDK。
1、项目逻辑流程图
根据下面的逻辑梳理，可以清晰的了解到需要哪些数据。
2、虹软SDK配置
1、登录虹软开发者。选择新建应用，填写相关信息之后，点击立即创建。如下，可以看到APP_ID。
还有一个重要的参数是SDK_Key。点击添加SDK，选择平台、SDK版本、语言、应用。创建新的版本。
将SDK下载之后，里面有虹软人脸识别demo、人脸识别SDK、开发说明明档等。将SDK导入需要开发的项目里面。然后将demo里面相关的文件添加到项目
3、主要代码
1、切换前后摄像头功能主要代码。
- (BOOL) setupCaptureSession:(AVCaptureVideoOrientation)videoOrientation isFront:(BOOL)isFront{self.captureSession = [[AVCaptureSession alloc] init];[self.captureSession beginConfiguration];AVCaptureDevice *videoDevice = [self videoDeviceWithPosition:isFront ? AVCaptureDevicePositionFront : AVCaptureDevicePositionBack];// 前、后摄像头// 创建输入流AVCaptureDeviceInput *videoIn = [[AVCaptureDeviceInput alloc] initWithDevice:videoDevice error:nil];if ([self.captureSession canAddInput:videoIn])[self.captureSession addInput:videoIn];// 创建输出流AVCaptureVideoDataOutput *videoOut = [[AVCaptureVideoDataOutput alloc] init];[videoOut setAlwaysDiscardsLateVideoFrames:YES];#ifdef __OUTPUT_BGRA__NSDictionary *dic = [NSDictionary dictionaryWithObject:[NSNumber numberWithInt:kCVPixelFormatType_32BGRA] forKey:(id)kCVPixelBufferPixelFormatTypeKey];#elseNSDictionary *dic = [NSDictionary dictionaryWithObject:[NSNumber numberWithInt:kCVPixelFormatType_420YpCbCr8BiPlanarFullRange] forKey:(id)kCVPixelBufferPixelFormatTypeKey];#endif[videoOut setVideoSettings:dic];dispatch_queue_t videoCaptureQueue = dispatch_get_global_queue(DISPATCH_QUEUE_PRIORITY_HIGH,0);[videoOut setSampleBufferDelegate:self queue:videoCaptureQueue];if ([self.captureSession canAddOutput:videoOut])[self.captureSession addOutput:videoOut];videoConnection = [videoOut connectionWithMediaType:AVMediaTypeVideo];if (videoConnection.supportsVideoMirroring) {[videoConnection setVideoMirrored:TRUE];}if ([videoConnection isVideoOrientationSupported]) {[videoConnection setVideoOrientation:videoOrientation];}if ([self.captureSession canSetSessionPreset:AVCaptureSessionPreset1280x720]) {[self.captureSession setSessionPreset:AVCaptureSessionPreset1280x720];}[self.captureSession commitConfiguration];return YES;}
#pragma mark -- (IBAction)btnChangeCamera:(UIButton *)sender {isback =! isback;[self stopCaptureSession];[self setupCaptureSession:(AVCaptureVideoOrientation)[[UIApplication sharedApplication] statusBarOrientation] isFront:isback];[self startCaptureSession];}
2、计算人脸框位置
- (CGRect)dataFaceRect2ViewFaceRect:(MRECT)faceRect // 画框{// 获取的图像的宽 高度CGFloat faceimgeW = faceRect.right-faceRect.left;CGFloat faceimgeH = faceRect.bottom-faceRect.top;// 视图的位置 大小CGRect frameGLView = self.glView.frame;// 计算后的人脸捕捉位置 大小CGRect frameFaceRect = {0};frameFaceRect.size.width = CGRectGetWidth(frameGLView)*faceimgeW/imgeWidth;frameFaceRect.size.height = CGRectGetHeight(frameGLView)*faceimgeH/imgeHight;frameFaceRect.origin.x = CGRectGetWidth(frameGLView)*faceRect.left/imgeWidth;frameFaceRect.origin.y = CGRectGetHeight(frameGLView)*faceRect.top/imgeHight;return frameFaceRect;}
3、蓝色边框的动效
// angle 默认为0- (void)startAnimation{CGAffineTransform endAngle = CGAffineTransformMakeRotation(angle * (M_PI / 180.0f));[UIView animateWithDuration:0.03 delay:0 options:UIViewAnimationOptionCurveLinear animations:^{self.imgFaceC.transform = endAngle;} completion:^(BOOL finished) {self->angle += 10;[self startAnimation]; }];}
4、源码地址
完整的功能代码可以从这里下载:/cymInSHRelese/ChFacedemo.git
5、最终功能完成
最终呈现的样式如下图所示。
