标签：swift ios8 core image 人脸检测 马赛克
iOS8 Core Image In Swift：自动改善图像以及内置滤镜的使用
iOS8 Core Image In Swift：更复杂的滤镜
iOS8 Core Image In Swift：人脸检测以及马赛克
Core Image不仅内置了诸多滤镜，还能检测图像中的人脸，不过Core Image只是检测，并非识别，检测人脸是指在图像中寻找符合人脸特征（只要是个人脸）的区域，识别是指在图像中寻找指定的人脸（比如某某某的脸）。Core Image在找到符合人脸特征的区域后，会返回该特征的信息，比如人脸的范围、眼睛和嘴巴的位置等。
class ViewController: UIViewController {
@IBOutlet var imageView: UIImageView!
lazy var originalImage: UIImage = {
return UIImage(named: "Image")
}()
lazy var context: CIContext = {
return CIContext(options: nil)
}()
......
override func viewDidLoad() {
super.viewDidLoad()
// Do any additional setup after loading the view, typically from a nib.
self.imageView.image = originalImage
}
@IBAction func faceDetecing() {
let inputImage = CIImage(image: originalImage)
let detector = CIDetector(ofType: CIDetectorTypeFace,
context: context,
options: [CIDetectorAccuracy: CIDetectorAccuracyHigh])
var faceFeatures: [CIFaceFeature]!
if let orientation: AnyObject = inputImage.properties()?[kCGImagePropertyOrientation] {
faceFeatures = detector.featuresInImage(inputImage,
options: [CIDetectorImageOrientation: orientation]
) as [CIFaceFeature]
} else {
faceFeatures = detector.featuresInImage(inputImage) as [CIFaceFeature]
}
println(faceFeatures)
......
| 使用kCGImagePropertyOrientation的时候，可能需要导入ImageIO框架 |
@IBAction func faceDetecing() {
let inputImage = CIImage(image: originalImage)
let detector = CIDetector(ofType: CIDetectorTypeFace,
context: context,
options: [CIDetectorAccuracy: CIDetectorAccuracyHigh])
var faceFeatures: [CIFaceFeature]!
if let orientation: AnyObject = inputImage.properties()?[kCGImagePropertyOrientation] {
faceFeatures = detector.featuresInImage(inputImage, options: [CIDetectorImageOrientation: orientation]) as [CIFaceFeature]
} else {
faceFeatures = detector.featuresInImage(inputImage) as [CIFaceFeature]
}
println(faceFeatures)
for faceFeature in faceFeatures {
let faceView = UIView(frame: faceFeature.bounds)
faceView.layer.borderColor = UIColor.orangeColor().CGColor
faceView.layer.borderWidth = 2
imageView.addSubview(faceView)
}
}
@IBAction func faceDetecing() {
let inputImage = CIImage(image: originalImage)
let detector = CIDetector(ofType: CIDetectorTypeFace,
context: context,
options: [CIDetectorAccuracy: CIDetectorAccuracyHigh])
var faceFeatures: [CIFaceFeature]!
if let orientation: AnyObject = inputImage.properties()?[kCGImagePropertyOrientation] {
faceFeatures = detector.featuresInImage(inputImage, options: [CIDetectorImageOrientation: orientation]) as [CIFaceFeature]
} else {
faceFeatures = detector.featuresInImage(inputImage) as [CIFaceFeature]
}
println(faceFeatures)
// 1.
let inputImageSize = inputImage.extent().size
var transform = CGAffineTransformIdentity
transform = CGAffineTransformScale(transform, 1, -1)
transform = CGAffineTransformTranslate(transform, 0, -inputImageSize.height)
for faceFeature in faceFeatures {
var faceViewBounds = CGRectApplyAffineTransform(faceFeature.bounds, transform)
// 2.
let scaleTransform = CGAffineTransformMakeScale(0.5, 0.5)
faceViewBounds = CGRectApplyAffineTransform(faceViewBounds, scaleTransform)
let faceView = UIView(frame: faceViewBounds)
faceView.layer.borderColor = UIColor.orangeColor().CGColor
faceView.layer.borderWidth = 2
imageView.addSubview(faceView)
}
}
@IBAction func faceDetecing() {
let inputImage = CIImage(image: originalImage)
let detector = CIDetector(ofType: CIDetectorTypeFace,
context: context,
options: [CIDetectorAccuracy: CIDetectorAccuracyHigh])
var faceFeatures: [CIFaceFeature]!
if let orientation: AnyObject = inputImage.properties()?[kCGImagePropertyOrientation] {
faceFeatures = detector.featuresInImage(inputImage, options: [CIDetectorImageOrientation: orientation]) as [CIFaceFeature]
} else {
faceFeatures = detector.featuresInImage(inputImage) as [CIFaceFeature]
}
println(faceFeatures)
// 1.
let inputImageSize = inputImage.extent().size
var transform = CGAffineTransformIdentity
transform = CGAffineTransformScale(transform, 1, -1)
transform = CGAffineTransformTranslate(transform, 0, -inputImageSize.height)
for faceFeature in faceFeatures {
var faceViewBounds = CGRectApplyAffineTransform(faceFeature.bounds, transform)
// 2.
var scale = min(imageView.bounds.size.width / inputImageSize.width,
imageView.bounds.size.height / inputImageSize.height)
var offsetX = (imageView.bounds.size.width - inputImageSize.width * scale) / 2
var offsetY = (imageView.bounds.size.height - inputImageSize.height * scale) / 2
faceViewBounds = CGRectApplyAffineTransform(faceViewBounds, CGAffineTransformMakeScale(scale, scale))
faceViewBounds.origin.x += offsetX
faceViewBounds.origin.y += offsetY
let faceView = UIView(frame: faceViewBounds)
faceView.layer.borderColor = UIColor.orangeColor().CGColor
faceView.layer.borderWidth = 2
imageView.addSubview(faceView)
}
}
@IBAction func pixellated() {
// 1.
var filter = CIFilter(name: "CIPixellate")
println(filter.attributes())
let inputImage = CIImage(image: originalImage)
filter.setValue(inputImage, forKey: kCIInputImageKey)
// filter.setValue(max(inputImage.extent().size.width, inputImage.extent().size.height) / 60, forKey: kCIInputScaleKey)
let fullPixellatedImage = filter.outputImage
// let cgImage = context.createCGImage(fullPixellatedImage, fromRect: fullPixellatedImage.extent())
// imageView.image = UIImage(CGImage: cgImage)
// 2.
let detector = CIDetector(ofType: CIDetectorTypeFace,
context: context,
options: nil)
let faceFeatures = detector.featuresInImage(inputImage)
// 3.
var maskImage: CIImage!
for faceFeature in faceFeatures {
println(faceFeature.bounds)
// 4.
let centerX = faceFeature.bounds.origin.x + faceFeature.bounds.size.width / 2
let centerY = faceFeature.bounds.origin.y + faceFeature.bounds.size.height / 2
let radius = min(faceFeature.bounds.size.width, faceFeature.bounds.size.height)
let radialGradient = CIFilter(name: "CIRadialGradient",
withInputParameters: [
"inputRadius0" : radius,
"inputRadius1" : radius + 1,
"inputColor0" : CIColor(red: 0, green: 1, blue: 0, alpha: 1),
"inputColor1" : CIColor(red: 0, green: 0, blue: 0, alpha: 0),
kCIInputCenterKey : CIVector(x: centerX, y: centerY)
])
println(radialGradient.attributes())
// 5.
let radialGradientOutputImage = radialGradient.outputImage.imageByCroppingToRect(inputImage.extent())
if maskImage == nil {
maskImage = radialGradientOutputImage
} else {
println(radialGradientOutputImage)
maskImage = CIFilter(name: "CISourceOverCompositing",
withInputParameters: [
kCIInputImageKey : radialGradientOutputImage,
kCIInputBackgroundImageKey : maskImage
]).outputImage
}
}
// 6.
let blendFilter = CIFilter(name: "CIBlendWithMask")
blendFilter.setValue(fullPixellatedImage, forKey: kCIInputImageKey)
blendFilter.setValue(inputImage, forKey: kCIInputBackgroundImageKey)
blendFilter.setValue(maskImage, forKey: kCIInputMaskImageKey)
// 7.
let blendOutputImage = blendFilter.outputImage
let blendCGImage = context.createCGImage(blendOutputImage, fromRect: blendOutputImage.extent())
imageView.image = UIImage(CGImage: blendCGImage)
}
参考资料：
iOS8 Core Image In Swift：人脸检测以及马赛克
标签：swift ios8 core image 人脸检测 马赛克
原文地址：http://blog.csdn.net/zhangao0086/article/details/39253707
