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标题: ios - 实时人脸检测不起作用 [打印本页]

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作者: 菜鸟教程小白    时间: 2022-12-11 18:22
标题: ios - 实时人脸检测不起作用

此代码没有显示在相机中检测到人脸，即使没有错误。 我希望在相机中实时检测到脸部，周围有红色的乡绅，但我认为我没有正确放置代码或者我应该在 Viewdidload 或其他地方放置一些东西？

import UIKit
import CoreImage

class ViewController: UIViewController ,UIAlertViewDelegate, UIImagePickerControllerDelegate, UINavigationControllerDelegate  {

@IBOutlet var imageView: UIImageView!
@IBAction func Moodify(_ sender: UIButton) {


    func detect() {

        guard let personciImage = CIImage(image: imageView.image!) else {
            return
        }

        let accuracy = [CIDetectorAccuracy: CIDetectorAccuracyHigh]
        let faceDetector = CIDetector(ofType: CIDetectorTypeFace, context: nil, options: accuracy)
        let faces = faceDetector?.features(in: personciImage)


        // For converting the Core Image Coordinates to UIView Coordinates
        let ciImageSize = personciImage.extent.size
        var transform = CGAffineTransform(scaleX: 1, y: -1)
        transform = transform.translatedBy(x: 0, y: -ciImageSize.height)

        for face in faces as! [CIFaceFeature] {

            print("Found bounds are \(face.bounds)")

            // Apply the transform to convert the coordinates
            var faceViewBounds = face.bounds.applying(transform)

            // Calculate the actual position and size of the rectangle in the image view
            let viewSize = imageView.bounds.size
            let scale = min(viewSize.width / ciImageSize.width,
                            viewSize.height / ciImageSize.height)
            let offsetX = (viewSize.width - ciImageSize.width * scale) / 2
            let offsetY = (viewSize.height - ciImageSize.height * scale) / 2

            faceViewBounds = faceViewBounds.applying(CGAffineTransform(scaleX: scale, y: scale))
            faceViewBounds.origin.x += offsetX
            faceViewBounds.origin.y += offsetY

            let faceBox = UIView(frame: faceViewBounds)
            //let faceBox = UIView(frame: face.bounds)
            faceBox.layer.borderWidth = 3
            faceBox.layer.borderColor = UIColor.red.cgColor
            faceBox.backgroundColor = UIColor.clear
            imageView.addSubview(faceBox)

            if face.hasLeftEyePosition {
                print("Left eye bounds are \(face.leftEyePosition)")
            }

            if face.hasRightEyePosition {
                print("Right eye bounds are \(face.rightEyePosition)")
            }
        }
    }

    let picker = UIImagePickerController()
    picker.delegate = self
    picker.allowsEditing = true
    picker.sourceType = .camera
    picker.cameraDevice = .front
    self.present(picker, animated: true, completion: { _ in })

    func imagePickerController(_ picker: UIImagePickerController, didFinishPickingMediaWithInfo info: [AnyHashable: Any]) {
        let chosenImage = info[UIImagePickerControllerEditedImage]
        self.imageView!.image = chosenImage as? UIImage
        picker.dismiss(animated: true, completion: { _ in })
    }

     // picker.dismiss(animated: true, completion: { _ in })
    func imagePickerControllerDidCancel(_ picker: UIImagePickerController) {
        picker.dismiss(animated: true, completion: { _ in })
    }
}

override func viewDidLoad() {

    let alert = UIAlertController(title: "Ooops!!!", message: "Camera is not connected", preferredStyle: UIAlertControllerStyle.alert)
    alert.addAction(UIAlertAction(title: "Connect", style: UIAlertActionStyle.default, handler: nil))
    self.present(alert, animated: true, completion: nil)

    super.viewDidLoad()
    // Do any additional setup after loading the view, typically from a nib.

}

override func didReceiveMemoryWarning() {
    super.didReceiveMemoryWarning()
    // Dispose of any resources that can be recreated.
}
}

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Best Answer-推荐答案

您很可能只需要按照文档中描述的方式触发函数

我们将调用 viewDidLoad 中的检测方法。所以在方法中插入如下代码行:

override func viewDidLoad() {
   super.viewDidLoad()

   detect()

}

编译并运行应用程序。

编辑: 这是解决方案，而函数“检测”是作为子类方法，但在您的情况下，您使用 IBAction，它具有类似这样的不同语法。您应该尝试删除函数名 detect() 和这个括号

}

let picker =

这部分必须在函数内部

let picker = UIImagePickerController()
picker.delegate = self
picker.allowsEditing = true
picker.sourceType = .camera
picker.cameraDevice = .front
self.present(picker, animated: true, completion: { _ in })

对于您的情况，您也可以省略这部分。

关于ios - 实时人脸检测不起作用，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/41238781/

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