技術標籤：java後端

話不多說，直接擼。。。

這邊我選用阿里雲的
maven 依賴

		<dependency>
			<groupId>com.aliyun</groupId>
			<artifactId>aliyun-java-sdk-facebody</artifactId>
			<version>1.0.8</version>
		</dependency>

介面展示：

  @ApiOperation(value = "匹配照片相似度")
    @RequestMapping
 
(value = "matchingImgSimilarity",method = RequestMethod.GET)
    public Result matchingImgSimilarity(@RequestParam @ApiParam(name = "img1",required = true,value = "照片一")String img1,
                                        @RequestParam @ApiParam(name = "img2",
 
required = true,value = "照片二")String img2){
        Float aFloat = faceContrast(img1, img2);
        return new Result(true, StatusCode.OK,"操作成功", Math.round(aFloat));
    }

匹配業務層

 /**
    * 方法實現說明
     圖片要求:
     請求格式：JPEG、JPG、PNG、BMP。
     影象大小：影象大小不超過3M。
     影象解析度：圖片大小要求5x5畫素以上，人臉的尺寸建議大於64x64畫素。
     @param imageURLA  圖片A
     @param imageURLB  圖片B
    * @author      金剛
    * @date        2020/12/18 16:18
    */
 

    public static Float faceContrast(String imageURLA,String imageURLB){

        //目前區域只開通了華東2(上海)
        DefaultProfile profile = DefaultProfile.getProfile("cn-shanghai", "你的阿里雲賬號id", "你的阿里祕鑰");
        IAcsClient client = new DefaultAcsClient(profile);

        CompareFaceRequest request = new CompareFaceRequest();
        request.setRegionId("cn-shanghai");
        request.setImageURLA(imageURLA);
        request.setImageURLB(imageURLB);
        Float confidence = 0f;
        try {
            CompareFaceResponse response = client.getAcsResponse(request);
            System.out.println(new Gson().toJson(response));
            confidence = response.getData().getConfidence();
        } catch (ServerException e) {
            e.printStackTrace();
        } catch (ClientException e) {
            System.out.println("人臉對比ErrCode:" + e.getErrCode());
            System.out.println("人臉對比ErrMsg:" + e.getErrMsg());
            System.out.println("人臉對比RequestId:" + e.getRequestId());
        }
       return confidence;
    }

效果圖

以上僅是個人看法，有意見歡迎留言交流