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hospital-rescue-app-v2/uni_modules/x-mlkit-scannig-u/utssdk/app-ios/camera.uts
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2026-09-24 16:25:22 +08:00

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import { AVCaptureSession, AVCaptureDevice, AVMediaType, AVCaptureVideoDataOutputSampleBufferDelegate, AVCaptureDeviceInput, AVCaptureInput, AVCaptureVideoDataOutput, AVCaptureConnection, AVCaptureVideoPreviewLayer, AVLayerVideoGravity, AVCaptureVideoOrientation } from 'AVFoundation';
import { PHPhotoLibrary, PHAuthorizationStatus } from 'Photos';
import { CMSampleBuffer, CMSampleBufferGetFormatDescription, CMFormatDescription, CMVideoFormatDescriptionGetDimensions } from 'CoreMedia';
import { DispatchQueue } from "Dispatch"
import { UIView, UIImage , UIApplication } from 'UIKit';
import { CGRect, CGFloat } from 'CoreFoundation';
import { Barcode, BarcodeScannerOptions, BarcodeFormat, BarcodeScanner, CMVideoDimensions } from "MLKitBarcodeScanning"
import { VisionImage } from "MLKit"
import { SCANNING_PHOTO_RESULT, CALL_BACK_TYPE_PRIVATE, SCANNING_PHOTO_RESULT_BOUND, SCANNING_PHOTO_RESULT_POS ,AUTH_CALL_BACK_TYPE} from '../interface.uts';
import { NotificationCenter , NSNotification , Notification } from 'Foundation';
import { Selector } from 'ObjectiveC';
// 识别结果
let scanResult = [] as Swift.Array<Barcode>
// 视频宽
let videoWidth = 0
// 视频高
let videoHeight = 0
// let camera:xCamera|null = null;
let barcodeOptions = BarcodeScannerOptions(formats = BarcodeFormat.all)
class CaptureOutSessionBuffer implements AVCaptureVideoDataOutputSampleBufferDelegate {
onwerCamera:xCamera
constructor(dv:xCamera) {
this.onwerCamera = dv;
super()
}
captureOutput(output : AVCaptureOutput, @argumentLabel("didOutput") sampleBuffer : CMSampleBuffer, @argumentLabel("from") connection : AVCaptureConnection) {
let t = this;
DispatchQueue.main.async(execute=():void => {
// console.log('图片捕捉正确')
let image = new VisionImage(buffer = sampleBuffer)
// 这里会直接影响到测量的起始点。下面是镜像,测量是图片左上为起始,但设备是竖向,因此计算时的x,y坐标其实是相对屏幕向右转下,x,y是反向的,因为是镜像
// 所以计算位置时,x,y是反的,宽和高也是相反的。
image.orientation = UIImage.Orientation.upMirrored
// options=barcodeOptions
let barcodeScanner = new BarcodeScanner.barcodeScanner(options = barcodeOptions)
console.log(image)
barcodeScanner.process(image, completion = (features : Swift.Array<Barcode> | null, error) => {
if (features == null || error != null) {
return;
}
if (features!.length == 0 || scanResult.length>0) {
return;
}
scanResult = features!
let descVideo : CMFormatDescription | null = CMSampleBufferGetFormatDescription(sampleBuffer);
if (descVideo != null) {
let dimesionsize : CMVideoDimensions = CMVideoFormatDescriptionGetDimensions(descVideo!)
t.onwerCamera.videoBox_width= Number(dimesionsize.width)
t.onwerCamera.videoBox_height = Number(dimesionsize.height)
}
this.onwerCamera.pause()
let listpos = [] as number[][][]
let bounedlist = [] as SCANNING_PHOTO_RESULT_BOUND[]
let rulstText = [] as string[]
for (let i = 0; i < features!.length; i++) {
let barcode = features![i]
// 位置信息
let bounds = barcode.frame
// 坐标
let corners = barcode.cornerPoints
// 解析的内容
let rawValue = barcode.rawValue
let iminfo = {
width: Number(bounds.width),
height: Number(bounds.height),
centerX: Number(bounds.midX),
centerY: Number(bounds.midY)
} as SCANNING_PHOTO_RESULT_BOUND
let posinfo = [] as number[][]
for (pos in corners!) {
// pos是pointValue类型并返回CGPoint,其中有x,y
let ponit = pos.cgPointValue
posinfo.push([Number(ponit.x), Number(ponit.y)] as number[])
}
listpos.push(posinfo)
bounedlist.push(iminfo)
rulstText.push(rawValue == null ? '' : (rawValue!))
}
let res = {
url: '',
position: listpos,
bounds: bounedlist,
text: rulstText
} as SCANNING_PHOTO_RESULT
t.onwerCamera.createPointView(res)
})
})
}
}
// 检查权限
export function isCheckPermissions(callFun : null | AUTH_CALL_BACK_TYPE){
let realcall : AUTH_CALL_BACK_TYPE = (_ : boolean) => { };
if (callFun != null) {
let cllfunFun = callFun!;
realcall = cllfunFun
}
// 相册选取权限
PHPhotoLibrary.requestAuthorization((isok : PHAuthorizationStatus) => {
// 拒绝了相册选取权限。
if (isok != PHAuthorizationStatus.authorized) {
realcall(false)
return;
}
// 录像权限
AVCaptureDevice.requestAccess(for = AVMediaType.video, completionHandler = (isok2 : boolean) => {
if (!isok2) {
realcall(false)
return;
}
})
})
}
export class xCamera {
// 父容器
parentView : UIView|null = null;
// 相机区域视图
cameraView : AVCaptureVideoPreviewLayer|null = null;
// 视频宽
videoBox_width = 0
// 视频高。
videoBox_height = 0
pointView = [] as UIView[]
// 默认的相机
captureDevice:AVCaptureDevice|null = null
// 捕获会话
captureSession:AVCaptureSession|null = null
// 输入相机设备
inputDevice : AVCaptureDeviceInput | null = null;
// 输出会话
captureOut = new AVCaptureVideoDataOutput();
// 图像捕捉事件代理。
captureOutDelegate : CaptureOutSessionBuffer|null = null ;
constructor(){
super();
}
newCamraViewLayer(){
// 设置预览层绑定
// 下面的缩放会居中显示,因此左顶点可能在左上方
this.cameraView!.videoGravity = AVLayerVideoGravity.resizeAspectFill
this.cameraView!.connection!.videoOrientation = AVCaptureVideoOrientation.portrait
this.cameraView!.frame = this.parentView!.layer.bounds;
// 绑定渲染层。
this.parentView!.layer.addSublayer(this.cameraView!)
}
clearPointView(){
for (let i = 0; i < this.pointView.length; i++) {
let item = this.pointView[i];
item.removeFromSuperview();
}
this.pointView = [] as UIView[]
}
// 创建点。
createPointView (result : SCANNING_PHOTO_RESULT){
if (this.cameraView == null || this.parentView == null) return;
let realCgSize = this.cameraView!.frame as CGRect;
let realWidth = Number(realCgSize.width);
let realHeight = Number(realCgSize.height);
this.clearPointView();
// 计算视频和容器的宽高比
let videoAspectRatio = this.videoBox_width / this.videoBox_height
let containerAspectRatio = realWidth / realHeight
let ratio_real_width = 0
let ratio_real_height = 0
if (videoAspectRatio > containerAspectRatio) {
ratio_real_width = realWidth
// 视频的宽高比大于预览层的宽高比,宽为预览宽,但高会大于预览高从而被裁剪。
ratio_real_height = realHeight * videoAspectRatio
} else {
ratio_real_width = realWidth / videoAspectRatio
ratio_real_height = realHeight
}
let pointSize = 30
for (let i = 0; i < result.bounds.length; i++) {
let text = result.text[i]
let bounds = result.bounds[i]
let pos = result.position[i];
let centerx = (pos[2][0] - pos[0][0]) / 2 + pos[0][0]
let centery = (pos[2][1] - pos[0][1]) / 2 + pos[0][1]
let diffTop = (realHeight - ratio_real_height) / 2
let diffLeft = (realWidth - ratio_real_width) / 2
let x = (ratio_real_width - ratio_real_width * (bounds.centerY / this.videoBox_height) - diffLeft - 15).toInt()
let y = (ratio_real_height * (bounds.centerX / this.videoBox_width) + diffTop - 15).toInt()
// console.log(bounds.centerX,bounds.centerY,x,y,videoWidth,videoHeight,realWidth,realHeight,ratio_real_width,ratio_real_height)
let rect = new CGRect(x = x, y = y, width = pointSize.toInt(), height = pointSize.toInt())
let pointViewSelf = new UIView();
pointViewSelf.layer.frame = rect;
pointViewSelf.backgroundColor = UTSiOS.colorWithString('#21d429');
pointViewSelf.layer.borderWidth = 2
pointViewSelf.layer.borderColor = UTSiOS.colorWithString('#FFFFFF').cgColor;
pointViewSelf.layer.cornerRadius = new CGFloat(pointSize / 2);
pointViewSelf.isUserInteractionEnabled = true;
// let onlick = new PointClickEvent((atext:string) => {
// console.log("ok....",result.text)
// component!.__$$emit('clickQr',new Map<string,string>([["result",atext]]))
// },text);
// pointClickEvent.push(onlick)
// let tapGestureCancel = new UITapGestureRecognizer()
// tapGestureCancel.addTarget(pointClickEvent[pointClickEvent.length-1], action = new Selector("onclick"))
// pointViewSelf.addGestureRecognizer(tapGestureCancel)
this.parentView!.addSubview(pointViewSelf)
this.pointView.push(pointViewSelf)
}
}
setView(view:UIView){
this.parentView = view;
}
oninit(){
this.captureDevice = AVCaptureDevice.default(for = AVMediaType.video)
this.captureSession = new AVCaptureSession();
this.captureSession!.sessionPreset = AVCaptureSession.Preset.low
this.captureOutDelegate = new CaptureOutSessionBuffer(this)
// 注册相机启动时的通知事件。
NotificationCenter.default.addObserver(this,selector = Selector("camreaOpeingStatus"),name=NSNotification.Name("didStartRunningNotification"),object = null)
// 新建设备的输入设备
this.inputDevice = UTSiOS.try(new AVCaptureDeviceInput(device = this.captureDevice!), "?")
if(this.inputDevice!=null){
// 添加输入到会话中。
this.captureSession!.addInput(this.inputDevice!)
}
this.captureOut.alwaysDiscardsLateVideoFrames = true;
// 设置输出会话
this.captureOut.setSampleBufferDelegate(this.captureOutDelegate!, queue = DispatchQueue.global())
if (this.captureSession!.canAddOutput(this.captureOut)) {
this.captureSession!.addOutput(this.captureOut)
console.log("绑定输出层正确!")
}
let t = this;
DispatchQueue.main.async(execute=():void => {
t.cameraView = new AVCaptureVideoPreviewLayer(session = t.captureSession!)
// 设置预览层绑定
// 下面的缩放会居中显示,因此左顶点可能在左上方
t.cameraView!.videoGravity = AVLayerVideoGravity.resizeAspectFill
t.cameraView!.connection!.videoOrientation = AVCaptureVideoOrientation.portrait
t.cameraView!.frame = t.parentView!.layer.bounds;
// 绑定渲染层。
t.parentView!.layer.addSublayer(t.cameraView!)
})
}
@objc static camreaOpeingStatus(notification:Notification){
console.log(notification,'启动了。')
}
open(){
this.clearPointView()
this.pause();
this.captureSession!.startRunning()
this.oninit();
}
stop(){
// 暂停预览。
this.pause()
// 移除通知。
NotificationCenter.default.removeObserver(this, name=NSNotification.Name("didStartRunningNotification"),object = null)
// 移除视频预览层。
this.cameraView!.removeFromSuperlayer()
// 移除点。
this.clearPointView()
if(this.inputDevice!=null){
this.captureSession!.removeInput(this.inputDevice!)
}
this.captureSession!.removeOutput(this.captureOut)
}
pause(){
if(this.captureSession!.isRunning){
this.captureSession!.stopRunning()
}
this.cameraView!.removeFromSuperlayer()
}
}