基于object-c实现人脸识别活体检测眨眼检测ios源码.zip

# EyeBlickCheck 人脸识别--活体检测--眨眼检测 # 使用方法 ``` @property(nonatomic,strong)CaptureFaceService * captureFaceService; - (CaptureFaceService *)captureFaceService{ if (!_captureFaceService) { _captureFaceService = [CaptureFaceService new]; } return _captureFaceService; } - (void)startCaptureFace{ __weak typeof(self)weakSelf = self; [self.captureFaceService startAutoCaptureFaceWithPreView:self.vidioView andCaptureFaceProgressBlock:^(float faceProgress, float eyeProgress, captureFaceStatus captureFaceStatus) { [weakSelf changeTipTextWithCaptureFaceStatus:captureFaceStatus]; } andCompleteBlock:^(UIImage *resultImage, NSError *error) { if (error) { UIAlertController * alertController = [UIAlertController alertControllerWithTitle:@"检测人脸失败,请重试" message: nil preferredStyle:UIAlertControllerStyleAlert]; [alertController addAction:[UIAlertAction actionWithTitle:@"重试" style:UIAlertActionStyleDefault handler:^(UIAlertAction *action) { [weakSelf startCaptureFace]; }]]; [alertController addAction:[UIAlertAction actionWithTitle:@"取消" style:(UIAlertActionStyleCancel) handler:^(UIAlertAction * _Nonnull action) { }]]; [weakSelf presentViewController:alertController animated:YES completion:nil]; return ; } //处理采集到的图片 [self handleResultImage:resultImage]; }]; } ``` # 注意: 1.去opencv 官网,下载iOS的SDK,我demo中用的是2.4版本 http://opencv.org/releases.html 2.去度娘 (haarcascade_frontalface_alt2.xml) (haarcascade_eye.xml)这两个级联分类器并下载导入到自己的项目中