我有一个应用程序设置,可以使用相机拍照(基于计时器)来检测脸部的存在。当我向应用程序提供已添加到 Assets 中的照片时,检测过程效果相当好。然而,当我尝试直接使用相机的输出或什至在将图像保存到文件后使用相机的输出时,生成的图像太暗,以至于面部识别完全不可靠。
如果我显示相机看到的图像,它看起来是正确的。我捕获了以下两张图像 - 一张来自实时查看的相机,另一张来自 AVCapturePhotoOutput 创建图像后的相同 View 。如果我只是在 ImageView 中显示捕获的图像,也会发生同样的黑暗。
请注意评论:“我在此处放置了断点并拍摄了屏幕截图”。然后,当代码完成时,我拍摄了第二个屏幕截图。这些是在高光下拍摄的。 这是基本代码:
class CRSFaceRecognitionViewController: UIViewController, UIImagePickerControllerDelegate {
var sentBy : String?
//timers
var faceTimer : Timer?
var frvcTimer : Timer?
//capture
var captureSession = AVCaptureSession()
var settings = AVCapturePhotoSettings()
var backCamera : AVCaptureDevice?
var frontCamera : AVCaptureDevice?
var currentCamera : AVCaptureDevice?
var photoOutput : AVCapturePhotoOutput?
var cameraPreviewLayer : AVCaptureVideoPreviewLayer?
var image : UIImage?
var outputImage : UIImage?
@IBOutlet weak var imageView: UIImageView!
//MARK: - Setup
override func viewDidLoad() {
super.viewDidLoad()
}//viewDidLoad
override func viewWillAppear(_ animated: Bool) {
super.viewWillAppear(true)
}//viewWillAppear
override func viewDidAppear(_ animated: Bool) {
super.viewDidAppear(true)
//check for camera
if (UIImagePickerController.isSourceTypeAvailable(UIImagePickerControllerSourceType.camera)) {
setupCaptureSession()
setupDevices()
setupInputOutput()
setupPreviewLayer()
startRunningCaptureSession()
photoOutput?.capturePhoto(with:settings, delegate: self)
} else {
print("Camera not present")
}
}//viewDidAppear
//MARK: - Video
@objc func showFaceRecognitionViewController() {
//all this does is present the image in a new ViewController imageView
performSegue(withIdentifier: "showSavedCameraPhoto", sender: self)
}//showThePhotoView
func setupCaptureSession() {
captureSession.sessionPreset = AVCaptureSession.Preset.photo
}//setupCaptureSession
func setupDevices() {
let deviceDiscoverySession = AVCaptureDevice.DiscoverySession(deviceTypes: [AVCaptureDevice.DeviceType.builtInWideAngleCamera], mediaType: .video, position: .unspecified)
let devices = deviceDiscoverySession.devices
for device in devices {
if device.position == AVCaptureDevice.Position.back {
backCamera = device
} else if device.position == AVCaptureDevice.Position.front {
frontCamera = device
}//if else
}//for in
currentCamera = frontCamera
}//setupDevices
func setupInputOutput() {
do {
let captureDeviceInput = try AVCaptureDeviceInput(device: currentCamera!)
captureSession.addInput(captureDeviceInput)
photoOutput = AVCapturePhotoOutput()
photoOutput?.setPreparedPhotoSettingsArray([AVCapturePhotoSettings(format: [AVVideoCodecKey: AVVideoCodecType.jpeg])], completionHandler: {(success, error) in
print("in photoOutput completion handler")
})
captureSession.addOutput(photoOutput!)
} catch {
print("Error creating AVCaptureDeviceInput:", error)
}//do catch
}//setupInputOutput
func setupPreviewLayer() {
cameraPreviewLayer = AVCaptureVideoPreviewLayer(session : captureSession)
cameraPreviewLayer?.videoGravity = AVLayerVideoGravity.resizeAspectFill
cameraPreviewLayer?.connection?.videoOrientation = AVCaptureVideoOrientation.portrait
cameraPreviewLayer?.frame = view.frame
view.layer.insertSublayer(cameraPreviewLayer!, at: 0)
}//setupPreviewLayer
func startRunningCaptureSession() {
captureSession.startRunning()
}//startRunningCaptureSession
//MARK: - Segue
override func prepare(for segue: UIStoryboardSegue, sender: Any?) {
if segue.identifier == "showSavedCameraPhoto" {
let controller = segue.destination as! JustToSeeThePhotoViewController
controller.inImage = outputImage
}//if segue
}//prepare
//MARK: - Look for Faces
func findTheFaces() {
let myView : UIView = self.view
guard let outImage = outputImage else {return}
let imageView = UIImageView(image: outImage)
imageView.contentMode = .scaleAspectFit
let scaledHeight = myView.frame.width / outImage.size.width * outImage.size.height
imageView.frame = CGRect(x: 0, y: 0, width: myView.frame.width, height: myView.frame.height)
imageView.backgroundColor = UIColor.blue
myView.addSubview(imageView)
let request = VNDetectFaceRectanglesRequest { (req, err) in
if let err = err {
print("VNDetectFaceRectanglesRequest failed to run:", err)
return
}//if let err
print(req.results ?? "req.results is empty")
req.results?.forEach({ (res) in
DispatchQueue.main.async {
guard let faceObservation = res as? VNFaceObservation else {return}
let x = myView.frame.width * faceObservation.boundingBox.origin.x
let width = myView.frame.width * faceObservation.boundingBox.width
let height = scaledHeight * faceObservation.boundingBox.height
let y = scaledHeight * (1 - faceObservation.boundingBox.origin.y) - height
let redView = UIView()
redView.backgroundColor = .red
redView.alpha = 0.4
redView.frame = CGRect(x: x, y: y, width: width, height: height)
myView.addSubview(redView)
print("faceObservation bounding box:")
print(faceObservation.boundingBox)
//if you get here, then you have a face bounding box
}//main
})//forEach block
}//let request
guard let cgImage = outImage.cgImage else {return}
DispatchQueue.global(qos: .utility).async {
let handler = VNImageRequestHandler(cgImage: cgImage, options: [:])
do {
try handler.perform([request])
print("handler request was successful")
self.performSegue(withIdentifier: "showSavedCameraPhoto", sender: self)
} catch let reqErr {
print("Failed to perform request:", reqErr)
}
}//DispatchQueue
}//findTheFaces
//MARK: - Memory
override func didReceiveMemoryWarning() {
super.didReceiveMemoryWarning()
}//didReceiveMemoryWarning
}//class
extension CRSFaceRecognitionViewController : AVCapturePhotoCaptureDelegate {
func photoOutput(_ output: AVCapturePhotoOutput, didFinishProcessingPhoto photo: AVCapturePhoto, error: Error?) {
if let imageData = photo.fileDataRepresentation() {
print(imageData)
outputImage = UIImage(data : imageData)
//
//I put breakpoint here and took a screen shot
//
if let outImage = outputImage?.updateImageOrientionUpSide() {
self.outputImage = outImage
}
DispatchQueue.main.async {
self.findTheFaces()
}
}//if let imageData
}//photoOutput
}//extension
extension UIImage {
//you need to do this to ensure that the image is in portrait mode
//the face recognition method will not work if the face is horizontal
func updateImageOrientionUpSide() -> UIImage? {
if self.imageOrientation == .up {
return self
}
UIGraphicsBeginImageContextWithOptions(self.size, false, self.scale)
self.draw(in: CGRect(x: 0, y: 0, width: self.size.width, height: self.size.height))
if let normalizedImage:UIImage = UIGraphicsGetImageFromCurrentImageContext() {
UIGraphicsEndImageContext()
return normalizedImage
}
UIGraphicsEndImageContext()
return nil
}//updateImageOrientionUpSide
}//image
我的相机捕捉一定是出了什么问题。任何帮助,将不胜感激。 Swift 4、iOS 11.2.5、Xcode 9.2
最佳答案
我会尝试在 startRunningCaptureSession()
和 photoOutput?.capturePhoto(with:settings, delegate: self) 之间添加延迟
例如,
DispatchQueue.main.asyncAfter(截止日期: .now() + .seconds(4), 执行: {
//拍个照
开始运行捕获 session ()
photoOutput?.capturePhoto(with:settings, delegate: self)
})
关于ios - AVCapturePhotoOutput iOS 相机超暗,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/48478430/