[iOS]CIDetector之CIDetectorTypeFace人脸识别
2024-08-27 16:01:35
- (void)viewDidLoad
{
[super viewDidLoad];
// Do any additional setup after loading the view, typically from a nib. UIImageView *imageView = [[UIImageView alloc] initWithFrame:self.view.bounds];
imageView.image = [UIImage imageNamed:@"timg.jpeg"];
[self.view addSubview:imageView]; CGFloat width = imageView.image.size.width;
CGFloat height = imageView.image.size.height; CGFloat sWidth = imageView.bounds.size.width;
CGFloat sHeight = imageView.bounds.size.height; CGFloat x = width/sWidth;
CGFloat y = height/sHeight; // 根据image修改imageview的frame
if (x > y)
{
imageView.frame = CGRectMake(, (sHeight-height/x)/, sWidth, height/x);
}else{
imageView.frame = CGRectMake((sWidth-width/y)/, , width/y, sHeight);
} // 压缩image
UIGraphicsBeginImageContext(CGSizeMake(imageView.bounds.size.width , imageView.bounds.size.height));
[imageView.image drawInRect:CGRectMake(, , imageView.bounds.size.width, imageView.bounds.size.height)];
UIImage *scaledImage = UIGraphicsGetImageFromCurrentImageContext();
UIGraphicsEndImageContext(); imageView.image = scaledImage; //识别
dispatch_async(dispatch_get_global_queue(, ), ^{
CIImage *cImage = [CIImage imageWithCGImage:imageView.image.CGImage];
// 设置识别模式
NSDictionary *opts = [NSDictionary dictionaryWithObject:CIDetectorAccuracyHigh
forKey:CIDetectorAccuracy];
/* Lower accuracy, higher performance */
//CORE_IMAGE_EXPORT NSString* const CIDetectorAccuracyLow NS_AVAILABLE(10_7, 5_0); /* Lower performance, higher accuracy */
//CORE_IMAGE_EXPORT NSString* const CIDetectorAccuracyHigh NS_AVAILABLE(10_7, 5_0); CIDetector *detector = [CIDetector detectorOfType:CIDetectorTypeFace
context:nil
options:opts]; NSArray *features = [detector featuresInImage:cImage]; if ([features count] == )
{
dispatch_async(dispatch_get_main_queue(), ^{
NSLog(@"检测失败");
});
return ;
} for (CIFaceFeature *feature in features)
{
// 是否微笑
BOOL smile = feature.hasSmile; NSLog(smile ? @"微笑" : @"没微笑"); // 眼睛是否睁开
BOOL leftEyeClosed = feature.leftEyeClosed;
BOOL rightEyeClosed = feature.rightEyeClosed; NSLog(leftEyeClosed ? @"左眼没睁开" : @"左眼睁开");
NSLog(rightEyeClosed ? @"右眼没睁开" : @"右眼睁开"); // 获取脸部frame
CGRect rect = feature.bounds;
rect.origin.y = imageView.bounds.size.height - rect.size.height - rect.origin.y;// Y轴旋转180度
faceRect = rect;
NSLog(@"脸 %@",NSStringFromCGRect(rect)); // 左眼
if (feature.hasLeftEyePosition)
{
CGPoint eye = feature.leftEyePosition;
eye.y = imageView.bounds.size.height - eye.y;// Y轴旋转180度
NSLog(@"左眼 %@",NSStringFromCGPoint(eye));
} // 右眼
if (feature.hasRightEyePosition)
{
CGPoint eye = feature.rightEyePosition;
eye.y = imageView.bounds.size.height - eye.y;// Y轴旋转180度
NSLog(@"右眼 %@",NSStringFromCGPoint(eye));
} // 嘴
if (feature.hasMouthPosition)
{
CGPoint mouth = feature.mouthPosition;
mouth.y = imageView.bounds.size.height - mouth.y;// Y轴旋转180度
NSLog(@"嘴 %@",NSStringFromCGPoint(mouth));
}
} dispatch_async(dispatch_get_main_queue(), ^{
NSLog(@"检测完成");
UIView *view = [[UIView alloc] initWithFrame:faceRect];
view.backgroundColor = [UIColor blueColor];
view.alpha = 0.3;
[imageView addSubview:view];
});
});
}
关于图片压缩:imageview的大小与image的大小不一致,识别的时候,是按照image的大小进行计算,通过重绘,使imageview与image保持一致。
关于坐标Y轴翻转:屏幕的坐标原点即(0,0)点在左上角,识别图片的坐标原点在左下角。
运行结果
控制台输出结果
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