慢速面部检测Firebase MLKit [英] Slow face detection Firebase MLKit

问题描述

开始使用前置摄像头玩MLKit人脸检测器，但是处理人脸的速度确实很慢

Started playing around with MLKit face detectors with the front-facing camera, but it's really slow on processing faces

func captureOutput(_ output: AVCaptureOutput, didOutput sampleBuffer: CMSampleBuffer, from connection: AVCaptureConnection) {

    print("Picture at ", Date())


    let visionImage = VisionImage(buffer: sampleBuffer)
    visionImage.metadata = metadata


    faceDetector?.detect(in: visionImage) { (faces, error) in
        guard error == nil, let faces = faces, !faces.isEmpty else {
            // Error. You should also check the console for error messages.
            let errorString = error?.localizedDescription
            print("Face detection failed with error: \(errorString)")
            return
        }

  }

我要去哪里了？

推荐答案

有一些方法可以尝试加快检测速度：

There are a few things you can try to speed up the detection:

1. 构建

1. Build your app in the release mode (optimized), as opposed to the debug mode.

在创建FaceDetector时，请确保使用VisionFaceDetectorOptions并设置其isTrackingEnabled为true。

When creating your faceDetector, please make sure to use a VisionFaceDetectorOptions and set its isTrackingEnabled to true.

设置AVCaptureVideoDataOutput时，请将以下键值对添加到其videoSettings中：

When setting up your AVCaptureVideoDataOutput, please add the following key-value pair to its videoSettings:

键：kCVPixelBufferPixelFormatTypeKey

key: kCVPixelBufferPixelFormatTypeKey

值：kCVPixelFormatType_32BGRA

value: kCVPixelFormatType_32BGRA

这篇关于慢速面部检测Firebase MLKit的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！