小编Bru*_*ann的帖子

我目前正在开发我的应用程序的一项功能，该功能可识别相机流中的人脸。我正在阅读具有里程碑意义的特征，例如嘴巴等。当光照条件充足时，一切正常。但在黑暗中，ARKit 和 Vision 都遇到了麻烦。有没有办法自动使流明亮度适应背景照明以保持功能？

研究表明，曝光时间是图像亮度的核心。因此，我尝试了一种适应曝光时间的功能。如果没有识别到​​人脸，图像变暗，曝光时间将增加 0.01。类似于本文中的函数。但要么没用，要么太亮了，脸都认不出来了。正因为如此，我尝试了自动版本，captureDevice.focusMode = .continuousAutoFocus但我没有注意到任何显着的改进。

这是我的代码：

视觉API

        let devices = AVCaptureDevice.DiscoverySession(deviceTypes: [.builtInWideAngleCamera], mediaType: AVMediaType.video, position: .front).devices

        //2:  Select a capture device
        do {
            if let captureDevice = devices.first {
                let captureDeviceInput = try AVCaptureDeviceInput(device: captureDevice)



                if(captureDevice.isLowLightBoostSupported){
                try captureDevice.lockForConfiguration()
                captureDevice.automaticallyEnablesLowLightBoostWhenAvailable = true
                captureDevice.unlockForConfiguration()
                }

                if(captureDevice.isExposureModeSupported(.continuousAutoExposure)){
                try captureDevice.lockForConfiguration()
                captureDevice.exposureMode = .continuousAutoExposure
                captureDevice.unlockForConfiguration()
                }


                if(captureDevice.isFocusModeSupported(.continuousAutoFocus)) {
                    try! captureDevice.lockForConfiguration()
                    captureDevice.focusMode = .continuousAutoFocus
                }

                try! captureDevice.lockForConfiguration()
                captureDevice.automaticallyAdjustsVideoHDREnabled = true
                captureDevice.unlockForConfiguration()


                avSession.addInput(captureDeviceInput)
            }

        } catch {
            print(error.localizedDescription)
        }

        let …

当我尝试使用 Firebase 中的 MLModelInterpreter 在 Xcode 项目中加载 tflite 文件时，在 Launchsreen 完全可见后出现以下错误：

*** Terminating app due to uncaught exception \'NSInvalidArgumentException\', reason: \'+[FIRInstanceIDCheckinPreferences preferencesFromKeychainContents:]: unrecognized selector sent to class 0x10235ca58\n

我的代码基于 Firebase 的教程，因此令我惊讶的是它不起作用。这是代码：

import Firebase\n\n\n    var interpreter: ModelInterpreter?\n\n    func convertTheModel(){\n\n\n        guard let modelPath = Bundle.main.path( forResource: "model", ofType: "tflite", inDirectory: ""\n            )\n            else {\n                print("not able to load model")\n                return\n\n        }\n\n        let localModel = CustomLocalModel(modelPath: modelPath)\n        interpreter =  ModelInterpreter.modelInterpreter(localModel: localModel)\n\n        let ioOptions = ModelInputOutputOptions()\n        do {\n            try ioOptions.setInputFormat(index: 0, …

我目前正在开发一个相机应用程序。一切正常，但是当我尝试更改 Vision View 的约束时，日志突然打印了此错误。

[警告]不支持指定的色彩空间格式。回到 libyuv。

我不知道它来自哪里以及我应该改变什么。下面我将介绍设置相机的相关代码。

  func initializeCameraSession() {
            //  Set up Values
            
            //1:  Create a new AV Session
//            , xf           , AVCaptureVideoDataOutputSampleBufferDelegate           // Get camera devices
            let devices = AVCaptureDevice.DiscoverySession(deviceTypes: [.builtInWideAngleCamera], mediaType: AVMediaType.video, position: .front).devices
            //2:  Select a capture device
            
            avSession.sessionPreset = .low
            do {
                if let captureDevice = devices.first {
                
                    let captureDeviceInput = try AVCaptureDeviceInput(device: captureDevice)



                    }
                   avSession.beginConfiguration()
                    if avSession.canAddInput(captureDeviceInput) {
                        avSession.addInput(captureDeviceInput)
                            self.videoDeviceInput = captureDeviceInput
                                
                    } else {
                                print("Couldn't add video device input to the session.") …