我有一个应用程序设置，可以使用相机拍摄照片(基于计时器)来检测人脸的存在。当我向应用程序提供我已添加到 Assets 中的照片时，检测过程运行良好。然而，当我尝试直接使用相机的输出，甚至在将图像保存到文件后，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 - 一张来自实时看到的相机，另一张是从 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，也会出现同样的黑暗。

请注意评论:“我将断点放在这里并截取了屏幕截图”。然后我在代码完成时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

我一定是在拍摄相机时做错了什么。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(deadline: .now() + .seconds(4), 执行: { //拍张照片 startRunningCaptureSession() 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/