上一篇写了 基于AVFoundation框架进行人脸识别
本编编写基于第三方 GPUImage框架 进行识别，带滤镜美颜，扫描区域设置、获取识别到的人脸等功能！
下面给出基于GPUImage框架搭建人脸检测功能代码:
一、导入相关头文件、设置相关代理和属性
#import "GPUFaceViewController.h"
#import "GPUImage.h"
#import "GPUImageBeautifyFilter.h"
#define WS(weakSelf) __weak __typeof(&*self) weakSelf = self
#define kWidth [UIScreen mainScreen].bounds.size.width
#define kHeight [UIScreen mainScreen].bounds.size.height
@interface GPUFaceViewController ()
@property (nonatomic, strong) GPUImageVideoCamera *videoCamera;
@property (nonatomic, strong) GPUImageStillCamera *Camera;
@property (nonatomic, strong) GPUImageView *filterView;
@property (nonatomic, strong) UIButton *beautifyButton;
@property (strong, nonatomic) AVCaptureMetadataOutput *medaDataOutput;
@property (strong, nonatomic) dispatch_queue_t captureQueue;
@property (nonatomic, strong) AVCapturePhotoOutput *iOutput;
@property (nonatomic, strong) NSArray *faceObjects;
@property (nonatomic,strong)UIImageView *imageView;
@property(nonatomic,assign)BOOL isFirst;
@property(nonatomic,strong)UIView *roundView;
@property(nonatomic,strong)UIImageView *faceImgView;
@property(nonatomic,strong)NSData *imageData;
@property (nonatomic, strong) UIView *maskView;
@end
二、界面初始化
- (void)viewDidLoad {
[super viewDidLoad];
// self.view.backgroundColor = [UIColor whiteColor];
self.title = @"人脸识别";
_isFirst = YES;
[self faceDeviceInit];
[self initUI];
}
-(void)initUI{
_faceImgView = [[UIImageView alloc] initWithFrame:CGRectMake(kWidth - 120 , 64, 120, 120)];
_faceImgView.backgroundColor = [UIColor blueColor];
[self.view addSubview:_faceImgView];
UILabel *titleLab = [[UILabel alloc] initWithFrame:CGRectMake(52, 100, kWidth - 108, 18)];
titleLab.text = @"请对准脸部拍摄 提高认证成功率";
titleLab.textAlignment = NSTextAlignmentCenter;
titleLab.textColor = [UIColor redColor];
titleLab.font = [UIFont systemFontOfSize:17];
[self.view addSubview:titleLab];
}
三、相机设备初始化
//摄像头相关设置
-(void)faceDeviceInit{
self.captureQueue = dispatch_queue_create("com.kimsungwhee.mosaiccamera.videoqueue", NULL);
self.videoCamera = [[GPUImageVideoCamera alloc] initWithSessionPreset:AVCaptureSessionPreset1920x1080 cameraPosition:AVCaptureDevicePositionBack];
self.videoCamera.delegate = self;
self.videoCamera.videoCaptureConnection.videoOrientation = AVCaptureVideoOrientationPortrait;
self.filterView = [[GPUImageView alloc] initWithFrame:CGRectMake(0, 64, kWidth, kHeight-64)];
self.filterView.backgroundColor = [UIColor clearColor];
self.filterView.fillMode = kGPUImageFillModePreserveAspectRatioAndFill;
[self.view addSubview:self.filterView];
[self.videoCamera startCameraCapture];
//美颜
[self beautify];
//Meta data
dispatch_async(dispatch_get_main_queue(), ^{
self.medaDataOutput = [[AVCaptureMetadataOutput alloc] init];
if ([self.videoCamera.captureSession canAddOutput:self.medaDataOutput]) {
[self.videoCamera.captureSession addOutput:self.medaDataOutput];
//类型设置为人脸
self.medaDataOutput.metadataObjectTypes = @[AVMetadataObjectTypeFace];
[self.medaDataOutput setMetadataObjectsDelegate:self queue:self.captureQueue];
}
});
//设置有效扫描区域
[self setScanArea];
}
四、设置有效扫描区域
-(void)setScanArea{
_maskView = [[UIView alloc] initWithFrame:CGRectMake(0, 0, kWidth, kHeight)];
_maskView.backgroundColor = [UIColor colorWithRed:0 green:0 blue:0 alpha:0.5];
[self.view addSubview:_maskView];
UIBezierPath *maskPath = [UIBezierPath bezierPathWithRect:CGRectMake(0, 0, kWidth, kHeight)];
[maskPath appendPath:[[UIBezierPath bezierPathWithRoundedRect:CGRectMake(73, 206, kWidth - 142, kWidth - 142) cornerRadius:(kWidth - 142)/2.0] bezierPathByReversingPath]];
CAShapeLayer *maskLayer = [[CAShapeLayer alloc] init];
maskLayer.path = maskPath.CGPath;
_maskView.layer.mask = maskLayer;
}
五、滤镜美颜
- (void)beautify {
[self.videoCamera removeAllTargets];
GPUImageBeautifyFilter *beautifyFilter = [[GPUImageBeautifyFilter alloc] init];
[self.videoCamera addTarget:beautifyFilter];
[beautifyFilter addTarget:self.filterView];
}
六、显示截取到的图片，请求人脸识别接口
-(void)uploadFaceImg:(UIImage *)image{
_faceImgView.image = image;
NSLog(@"imageData:%@",self.imageData);
WS(weakSelf);
//这里设置为2秒后可以进行继续检测
dispatch_after(dispatch_time(DISPATCH_TIME_NOW, (int64_t)(2.0 * NSEC_PER_SEC)), dispatch_get_main_queue(), ^{
weakSelf.isFirst = YES;
});
//这里开始写请求接口的代码
}
七、GPUImage代理方法
//GPUImage代理方法
- (void)willOutputSampleBuffer:(CMSampleBufferRef)sampleBuffer {
WS(weakSelf);
//检测到人脸
if (self.faceObjects && self.faceObjects.count > 0) {
NSLog(@"self.faceObjects.count == %ld",self.faceObjects.count);
//这个布尔值用于判断检测到人脸后，获取到人脸照片，不用再进行持续检测
if (_isFirst) {
//因为刚开始扫描到的人脸是模糊照片，所以延迟几秒获取
dispatch_after(dispatch_time(DISPATCH_TIME_NOW, (int64_t)(1.5 * NSEC_PER_SEC)), dispatch_get_main_queue(), ^{
//该view用来获取截取人脸的Frame
UIView *view = [[UIView alloc] initWithFrame:CGRectMake(73, 146, kWidth - 142, kWidth - 142)];
[self.view addSubview:view];
//截取屏幕
UIGraphicsBeginImageContext(weakSelf.filterView.bounds.size);
[weakSelf.filterView drawViewHierarchyInRect:weakSelf.filterView.bounds afterScreenUpdates:YES];;//截取动态图形
[weakSelf.filterView.layer renderInContext:UIGraphicsGetCurrentContext()];
UIImage *newImage = UIGraphicsGetImageFromCurrentImageContext();
UIGraphicsEndImageContext();
//截取屏幕中的人脸
UIImage *faceImage = [UIImage imageWithCGImage:CGImageCreateWithImageInRect(newImage.CGImage, view.frame)];
// UIImageWriteToSavedPhotosAlbum(firstImage, self, nil, nil); //将图片保存到相册
//转换人脸图片为NSData类型
weakSelf.imageData = UIImageJPEGRepresentation(faceImage, 0.05);
//获取人脸图片后，请求人脸识别接口
[self uploadFaceImg:faceImage];
});
_isFirst = NO;
}
}else {
//无人脸
// 这里可以写未获取到人脸的操作
}
}
八、实现 AVCaptureMetadataOutput代理
//AVCaptureMetadataOutputObjectsDelegate ===== 拿出当前帧的图片进行人脸识别
- (void)captureOutput:(AVCaptureOutput *)captureOutput didOutputMetadataObjects:(NSArray *)metadataObjects fromConnection:(AVCaptureConnection *)connection {
self.faceObjects = metadataObjects;