前言

Core Vision Kit（基础视觉服务）是机器视觉相关的基础能力，例如通用文字识别（即OCR，Optical Character Recognition，也称为光学字符识别）、人脸检测、人脸比对以及主体分割等能力。
本章给大家一个识别骨骼点的一个样例
版本： HarmonyOS Beta(api12)

实现方式

1.导入图片

我们通过以下方法将本地的图片导入应用，openPhoto方法选取本地图片的连接，通过loadImage将图片加载到我们的应用中

  private async selectImage() {
    let uri = await this.openPhoto()
    if (uri === undefined) {
      hilog.error(0x0000, 'skeletonDetectSample', "Failed to defined uri.");
    }
    this.loadImage(uri)
  }

  private openPhoto(): Promise<string> {
    return new Promise<string>((resolve, reject) => {
      let photoPicker: photoAccessHelper.PhotoViewPicker = new photoAccessHelper.PhotoViewPicker();
      photoPicker.select({
        MIMEType: photoAccessHelper.PhotoViewMIMETypes.IMAGE_TYPE, maxSelectNumber: 1
      }).then(res => {
        resolve(res.photoUris[0])
      }).catch((err: BusinessError) => {
        hilog.error(0x0000, 'skeletonDetectSample', `Failed to get photo image uri. code：${err.code}，message：${err.message}`);
        reject('')
      })
    })
  }

  private loadImage(name: string) {
    setTimeout(async () => {
      let fileSource = await fileIo.open(name, fileIo.OpenMode.READ_ONLY);
      this.imageSource = image.createImageSource(fileSource.fd);
      this.chooseImage = await this.imageSource.createPixelMap();
    }, 100)
  }

2.识别

          if(!this.chooseImage) {
            hilog.error(0x0000, 'skeletonDetectSample', `Failed to choose image. chooseImage: ${this.chooseImage}`);
            return;
          }
          let request: visionBase.Request = {
            inputData: { pixelMap: this.chooseImage, }
          };
          // Call the skeleton detection API.
          let data: skeletonDetection.SkeletonDetectionResponse = await (await skeletonDetection.SkeletonDetector.create()).process(request);
          let poseJson = JSON.stringify(data);
          hilog.info(0x0000, 'skeletonDetectSample', `Succeeded in face detect：${poseJson}`);
          this.dataValues = poseJson;

效果展示

上方为我们导入的图片的样子，而下方为我们导入图片的骨骼点坐标集合，分别为：
支持17个关键点的识别，具体为鼻子，左右眼，左右耳，左右肩，左右肘、左右手腕、左右髋、左右膝、左右脚踝。

完整代码

import { image } from '@kit.ImageKit';
import { hilog } from '@kit.PerformanceAnalysisKit';
import { BusinessError } from '@kit.BasicServicesKit';
import { fileIo } from '@kit.CoreFileKit';
import { skeletonDetection, visionBase } from '@kit.CoreVisionKit';
import { photoAccessHelper } from '@kit.MediaLibraryKit';

@Entry
@Component
struct Index {
  private imageSource: image.ImageSource | undefined = undefined;
  @State chooseImage: PixelMap | undefined = undefined
  @State dataValues: string = ''

  build() {
    Column() {
      Image(this.chooseImage)
        .objectFit(ImageFit.Contain)
        .height('60%')


      Scroll() {
        Text(this.dataValues)
          .copyOption(CopyOptions.LocalDevice)
          .margin(10)
          .width('60%')
      }
      .height('15%')
      .scrollable(ScrollDirection.Vertical)

      Button('导入图片')
        .type(ButtonType.Capsule)
        .fontColor(Color.White)
        .alignSelf(ItemAlign.Center)
        .width('80%')
        .margin(10)
        .onClick(() => {
          // Pull up the gallery.
          this.selectImage()
        })

      Button('识别')
        .type(ButtonType.Capsule)
        .fontColor(Color.White)
        .alignSelf(ItemAlign.Center)
        .width('80%')
        .margin(10)
        .onClick(async () => {
          if(!this.chooseImage) {
            hilog.error(0x0000, 'skeletonDetectSample', `Failed to choose image. chooseImage: ${this.chooseImage}`);
            return;
          }
          let request: visionBase.Request = {
            inputData: { pixelMap: this.chooseImage, }
          };
          // Call the skeleton detection API.
          let data: skeletonDetection.SkeletonDetectionResponse = await (await skeletonDetection.SkeletonDetector.create()).process(request);
          let poseJson = JSON.stringify(data);
          hilog.info(0x0000, 'skeletonDetectSample', `Succeeded in face detect：${poseJson}`);
          this.dataValues = poseJson;
        })
    }
    .width('100%')
    .height('100%')
    .justifyContent(FlexAlign.Center)
  }

  private async selectImage() {
    let uri = await this.openPhoto()
    if (uri === undefined) {
      hilog.error(0x0000, 'skeletonDetectSample', "Failed to defined uri.");
    }
    this.loadImage(uri)
  }

  private openPhoto(): Promise<string> {
    return new Promise<string>((resolve, reject) => {
      let photoPicker: photoAccessHelper.PhotoViewPicker = new photoAccessHelper.PhotoViewPicker();
      photoPicker.select({
        MIMEType: photoAccessHelper.PhotoViewMIMETypes.IMAGE_TYPE, maxSelectNumber: 1
      }).then(res => {
        resolve(res.photoUris[0])
      }).catch((err: BusinessError) => {
        hilog.error(0x0000, 'skeletonDetectSample', `Failed to get photo image uri. code：${err.code}，message：${err.message}`);
        reject('')
      })
    })
  }

  private loadImage(name: string) {
    setTimeout(async () => {
      let fileSource = await fileIo.open(name, fileIo.OpenMode.READ_ONLY);
      this.imageSource = image.createImageSource(fileSource.fd);
      this.chooseImage = await this.imageSource.createPixelMap();
    }, 100)
  }
}