自定义相机分一下几个步骤
1,判断当前相机设备是否可用与是否授权
2,自定义相机的相关参数
3,相机切换与闪光灯
4,拍照处理
授权及设备判断
1,摄像头是否可用
//相机是否可用
func isCameraAvailable() -> Bool {
return UIImagePickerController.isSourceTypeAvailable(UIImagePickerControllerSourceType.camera)
}
//前置摄像头是否可用
func isFrontCameraAvailable() -> Bool {
return UIImagePickerController.isCameraDeviceAvailable(UIImagePickerControllerCameraDevice.front)
}
//后置摄像头是否可用
func isBackCameraAvailable() -> Bool {
return UIImagePickerController.isCameraDeviceAvailable(UIImagePickerControllerCameraDevice.rear)
}
2,用户是否授权
//判断相机是否授权
func isCanUseCamera()->Bool{
let status = AVCaptureDevice.authorizationStatus(for: AVMediaType.video)
if status == AVAuthorizationStatus.authorized {
return true
}
return false
}
相机参数配置
1,基础配置
//设备
device = AVCaptureDevice.default(for: AVMediaType.video)
//输入源
input = try! AVCaptureDeviceInput.init(device: device)
//输出
output = AVCaptureStillImageOutput.init();
//会话
session = AVCaptureSession.init()
if (session.canAddInput(input)) {
session.addInput(input)
}
if session.canAddOutput(output) {
session.addOutput(output)
}
let layer = AVCaptureVideoPreviewLayer.init(session: session)
session .startRunning()
2,可选配置
if session .canSetSessionPreset(AVCaptureSession.Preset.photo) {
//该项用来设置输出图像的质量
session.sessionPreset = AVCaptureSession.Preset.photo
}
try! device.lockForConfiguration() //锁住设备
if device.isFlashModeSupported(AVCaptureDevice.FlashMode.auto) {
//设置闪光灯样式
device.flashMode = AVCaptureDevice.FlashMode.auto
}
if device.isWhiteBalanceModeSupported(AVCaptureDevice.WhiteBalanceMode.autoWhiteBalance) {
//设置白平衡样式
device.whiteBalanceMode = AVCaptureDevice.WhiteBalanceMode.autoWhiteBalance
}
//解锁设备
device.unlockForConfiguration()
拍摄
func takePhoto(){
let connection = output.connection(with: AVMediaType.video)
if connection == nil {
print("拍摄失败")
return
}
output.captureStillImageAsynchronously(from: connection!) { (buffer, error) in
let data = AVCaptureStillImageOutput.jpegStillImageNSDataRepresentation(buffer!)
}
}
实时滤镜相机
要实现实时滤镜效果,则需要获得相机捕获的每一帧,并进行加滤镜的操作
1,改变输出源头
output = AVCaptureVideoDataOutput.init()
//设置代理与回调队列
output.setSampleBufferDelegate(self, queue: queue)
//设置回调获得的图像参数(这里设置为32位BGR格式)还可以设置宽高等等
output.videoSettings = [kCVPixelBufferPixelFormatTypeKey as String:NSNumber.init(value: kCVPixelFormatType_32BGRA)]
2,回调代理方法
func captureOutput(_ output: AVCaptureOutput, didOutput sampleBuffer: CMSampleBuffer, from connection: AVCaptureConnection) {
//这里获得当前帧的图像 可以对其进行加工展示 实现 实时滤镜的效果(在这里我使用的GPUImage2的滤镜)
let im = self.imageFromSampleBuffer(sampleBuffer: sampleBuffer)
// 创建图片输入
let brightnessAdjustment = BrightnessAdjustment()
brightnessAdjustment.brightness = 0.2
let pictureInput = PictureInput(image: im)
// 创建图片输出
let pictureOutput = PictureOutput()
// 给闭包赋值
pictureOutput.imageAvailableCallback = { image in
// 这里的image是处理完的数据，UIImage类型
OperationQueue.main.addOperation {
self.imv.image = image.imageRotatedByDegrees(degrees: 90, flip: false)
}
}
// 绑定处理链
pictureInput --> brightnessAdjustment --> pictureOutput
// 开始处理 synchronously: true 同步执行 false 异步执行，处理完毕后会调用imageAvailableCallback这个闭包
pictureInput.processImage(synchronously: true)
}
补充buffer转换为UIImage 和 UIImage进行旋转(因为得到处理的图片需要旋转才正确)的方法 (代码为Swift4.0版本)
extension UIImage {
// false为旋转(面向图片顺时针) true为逆时针
public func imageRotatedByDegrees(degrees: CGFloat, flip: Bool) -> UIImage {
let radiansToDegrees: (CGFloat) -> CGFloat = {
return $0 * (180.0 / CGFloat(M_PI))
}
let degreesToRadians: (CGFloat) -> CGFloat = {
return $0 / 180.0 * CGFloat(M_PI)
}
// calculate the size of the rotated view's containing box for our drawing space
let rotatedViewBox = UIView(frame: CGRect(origin: CGPoint.zero, size: size))
let t = CGAffineTransform(rotationAngle: degreesToRadians(degrees));
rotatedViewBox.transform = t
let rotatedSize = rotatedViewBox.frame.size
// Create the bitmap context
UIGraphicsBeginImageContext(rotatedSize)
let bitmap = UIGraphicsGetCurrentContext()
// Move the origin to the middle of the image so we will rotate and scale around the center.
bitmap?.translateBy(x: rotatedSize.width / 2.0, y: rotatedSize.height / 2.0)
// // Rotate the image context
bitmap?.rotate(by: degreesToRadians(degrees))
// Now, draw the rotated/scaled image into the context
var yFlip: CGFloat
if(flip){
yFlip = CGFloat(-1.0)
} else {
yFlip = CGFloat(1.0)
}
bitmap?.scaleBy(x: yFlip, y: -1.0)
bitmap?.draw(self.cgImage!, in: CGRect.init(x: -size.width / 2, y: -size.height / 2, width: size.width, height: size.height))
let newImage = UIGraphicsGetImageFromCurrentImageContext()
UIGraphicsEndImageContext()
return newImage!
}
}
func imageFromSampleBuffer(sampleBuffer : CMSampleBuffer) -> UIImage
{
// Get a CMSampleBuffer's Core Video image buffer for the media data
let imageBuffer = CMSampleBufferGetImageBuffer(sampleBuffer);
// Lock the base address of the pixel buffer
CVPixelBufferLockBaseAddress(imageBuffer!, CVPixelBufferLockFlags.readOnly);
// Get the number of bytes per row for the pixel buffer
let baseAddress = CVPixelBufferGetBaseAddress(imageBuffer!);
// Get the number of bytes per row for the pixel buffer
let bytesPerRow = CVPixelBufferGetBytesPerRow(imageBuffer!);
// Get the pixel buffer width and height
let width = CVPixelBufferGetWidth(imageBuffer!);
let height = CVPixelBufferGetHeight(imageBuffer!);
// Create a device-dependent RGB color space
let colorSpace = CGColorSpaceCreateDeviceRGB();
// Create a bitmap graphics context with the sample buffer data
var bitmapInfo: UInt32 = CGBitmapInfo.byteOrder32Little.rawValue
bitmapInfo |= CGImageAlphaInfo.premultipliedFirst.rawValue & CGBitmapInfo.alphaInfoMask.rawValue
//let bitmapInfo: UInt32 = CGBitmapInfo.alphaInfoMask.rawValue
let context = CGContext.init(data: baseAddress, width: width, height: height, bitsPerComponent: 8, bytesPerRow: bytesPerRow, space: colorSpace, bitmapInfo: bitmapInfo)
// Create a Quartz image from the pixel data in the bitmap graphics context
let quartzImage = context?.makeImage();
// Unlock the pixel buffer
CVPixelBufferUnlockBaseAddress(imageBuffer!, CVPixelBufferLockFlags.readOnly);
// Create an image object from the Quartz image
let image = UIImage.init(cgImage: quartzImage!);
return image
}
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