要在我实时记录的每个帧中添加滤镜,并在UIImageView
中显示滤镜的图像,如果有人可以帮助的话,会很好。
但是永远不会调用captureoutput,这是我的代码。
class Measurement: UIViewController , AVCaptureVideoDataOutputSampleBufferDelegate {
@IBOutlet weak var cameraPreview: UIView!
@IBOutlet weak var imageView: UIImageView!
override func viewDidLoad() {
super.viewDidLoad()
setupCameraSession()
toggleTorch(on: true)
}
override func viewDidAppear(_ animated: Bool) {
super.viewDidAppear(animated)
view.layer.addSublayer(previewLayer)
cameraSession.startRunning()
}
lazy var cameraSession: AVCaptureSession = {
let s = AVCaptureSession()
s.sessionPreset = AVCaptureSession.Preset.low
return s
}()
lazy var previewLayer: AVCaptureVideoPreviewLayer = {
let preview = AVCaptureVideoPreviewLayer(session: self.cameraSession)
preview.position = CGPoint(x:182,y: 485)
preview.videoGravity = AVLayerVideoGravity.resizeAspectFill
preview.connection?.videoOrientation = AVCaptureVideoOrientation.portrait
preview.bounds = imageView.bounds
//preview.position = CGPoint(x:self.view.bounds.midX,y: self.view.bounds.midY)
imageView.layer.addSublayer(preview)
return preview
}()
func toggleTorch(on: Bool) {
guard let device = AVCaptureDevice.default(for: .video) else { return }
if device.hasTorch {
do {
try device.lockForConfiguration()
if on == true {
device.torchMode = .on
} else {
device.torchMode = .off
}
device.unlockForConfiguration()
} catch {
print("Torch could not be used")
}
} else {
print("Torch is not available")
}
}
func setupCameraSession() {
let captureDevice = AVCaptureDevice.default(for: AVMediaType.video)
do {
let deviceInput = try AVCaptureDeviceInput(device: captureDevice!)
cameraSession.beginConfiguration()
if (cameraSession.canAddInput(deviceInput) == true) {
cameraSession.addInput(deviceInput)
print("Processing Data.")
}
let dataOutput = AVCaptureVideoDataOutput()
dataOutput.videoSettings = [(kCVPixelBufferPixelFormatTypeKey as NSString) : NSNumber(value: kCVPixelFormatType_32BGRA as UInt32)] as [String : AnyObject]
dataOutput.alwaysDiscardsLateVideoFrames = true
print("Processing Data.")
if (cameraSession.canAddOutput(dataOutput) == true) {
cameraSession.addOutput(dataOutput)
print("Processing Data.")
}
cameraSession.commitConfiguration()
let queue = DispatchQueue(label: "com.invasivecode.videoQueue")
dataOutput.setSampleBufferDelegate(self, queue: queue)
}
catch let error as NSError {
print("\(error), \(error.localizedDescription)")
}
}
func captureOutput(_ captureOutput: AVCaptureOutput!, didOutputSampleBuffer sampleBuffer: CMSampleBuffer!, from connection: AVCaptureConnection!) {
print("Processing Data.")
guard let imageBuffer = CMSampleBufferGetImageBuffer(sampleBuffer) else { return }
//let chromaKeyFilter = colorCubeFilterForChromaKey(hueAngle: 120)
let ciImage = CIImage(cvPixelBuffer: imageBuffer)
let context = CIContext()
guard let cgImage = context.createCGImage(ciImage, from: ciImage.extent) else { return }
let image = UIImage(cgImage: cgImage)
if let chromaKeyFilter = CIFilter(name: "CISepiaTone") {
let beginImage = CIImage(image: image)
chromaKeyFilter.setValue(beginImage, forKey: kCIInputImageKey)
chromaKeyFilter.setValue(0.5, forKey: kCIInputIntensityKey)
if let output = chromaKeyFilter.outputImage {
if let cgimg = context.createCGImage(output, from: output.extent) {
let processedImage = UIImage(cgImage: cgimg)
// do something interesting with the processed image
imageView.image = processedImage
}
}
}
}
func captureOutput(_ captureOutput: AVCaptureOutput, didDrop sampleBuffer: CMSampleBuffer, from connection: AVCaptureConnection) {
// Here you can count how many frames are dopped
}
func startCapture() {
print("\(self.classForCoder)/" + #function)
if cameraSession.isRunning {
print("already running")
return
}
cameraSession.startRunning()
toggleTorch(on: true)
}
答案 0 :(得分:0)
您需要设置代表
dataOutput.sampleBufferDelegate = self