Application of hongruan face recognition

I have been busy with my work before , There is no time to update the blog , Now we have time , Just share a wave of dry goods with you .
About face recognition , I used Baidu before , The last two have used hongruan , Next, I will introduce the advantages and disadvantages of both . Compared with rainbow soft , Baidu's face recognition needs to rely on the Internet , Longer time consuming , But Baidu's recognition is accurate .
Hongruan's face recognition is applied and developed offline , Because you don't need a network , So its recognition speed is faster . But its recognition is not high , For example, compare two pictures , Compare with Baidu , The similarity may reach 90% above , But the possibility of hongruan will reach 60% about . Baidu's operation is relatively simple . in general , Which one to choose depends on your needs .
Okay , I don't say much nonsense , Next, I will teach you how to use it .
1. The first is to apply on the official website APPKEY, Various keys , Then download jar package , These will not be explained to you one by one . Pay attention to the , To be in app Of gradle Inside plus

   sourceSets {
        main {
            jniLibs.srcDirs = ['libs']
        }
    }

this sentence , Otherwise, it may cause so The library cannot be loaded .
2. Next, we need to develop .

Take the function of face detection for example , The first thing you need to
Initialize the engine ,

   AFD_FSDKEngine engine1 = new AFD_FSDKEngine();
   AFD_FSDKError err = engine1.AFD_FSDK_InitialFaceEngine(Config.APP_ID, Config.FD_KEY, AFD_FSDKEngine.AFD_OPF_0_HIGHER_EXT, 16, 5);`

We also need a collection , Used to store the faces we detected ,

  List<AFD_FSDKFace> result = new ArrayList<AFD_FSDKFace>();// newly build AFD_FSDKFacejihe, Used to store the recognized face information 

Then we can carry out face detection , But there are requirements for the selection and format of photos , So we need to format the photos .

Bitmap bitmap1 = decodeImage(path1);//path Is the path of the photo , Select photos first , Turn into bitmap
   byte[] data1 = getNv21(bitmap1);// then bitmap Turn into NV21 Format 

Here's the tool class decodeImage and getNv21 Code for

 //getNv21  and  decodeImage  It is a conversion tool for Photo format 
    public byte[] getNv21(Bitmap mBitmap) {
        byte[] data = new byte[mBitmap.getWidth() * mBitmap.getHeight() * 3 / 2];
        ImageConverter convert = new ImageConverter();
        convert.initial(mBitmap.getWidth(), mBitmap.getHeight(), ImageConverter.CP_PAF_NV21);
        if (convert.convert(mBitmap, data)) {
            Log.e("TAG", "convert ok!");
        }
        convert.destroy();
        return data;
    }

    public static Bitmap decodeImage(String path) {
        Bitmap res;
        try {
            ExifInterface exif = new ExifInterface(path);
            int orientation = exif.getAttributeInt(ExifInterface.TAG_ORIENTATION, ExifInterface.ORIENTATION_NORMAL);
            BitmapFactory.Options op = new BitmapFactory.Options();
            op.inSampleSize = 1;
            op.inJustDecodeBounds = false;
            //op.inMutable = true;
            res = BitmapFactory.decodeFile(path, op);
            //rotate and scale.
            Matrix matrix = new Matrix();
            if (orientation == ExifInterface.ORIENTATION_ROTATE_90) {
                matrix.postRotate(90);
            } else if (orientation == ExifInterface.ORIENTATION_ROTATE_180) {
                matrix.postRotate(180);
            } else if (orientation == ExifInterface.ORIENTATION_ROTATE_270) {
                matrix.postRotate(270);
            }
            Bitmap temp = Bitmap.createBitmap(res, 0, 0, res.getWidth(), res.getHeight(), matrix, true);
            Log.d("com.arcsoft", "check target Image:" + temp.getWidth() + "X" + temp.getHeight());

            if (!temp.equals(res)) {
                res.recycle();
            }
            return temp;
        } catch (Exception e) {
            e.printStackTrace();
        }
        return null;
    }

After converting the format , The face detection started .

 err = engine1.AFD_FSDK_StillImageFaceDetection(data1, bitmap1.getWidth(), bitmap1.getHeight(), AFD_FSDKEngine.CP_PAF_NV21, result);
        Log.e("TAG", "getBit: " + result.size());

We can view collections result Of size, To determine if a face is detected .

At the end of the code , Be sure to destroy the initialized engine . Otherwise, the program will crash due to memory problems .
`
engine1.AFD_FSDK_UninitialFaceEngine();

Face comparison is based on face detection , First detect the face information on a photo , Then compare the face information .
List result = new ArrayList();
That was covered above , The detected face information is stored in result In the collection of ,
Then create two classes to store face point information

 AFR_FSDKFace face1 = new AFR_FSDKFace();
AFR_FSDKFace face2 = new AFR_FSDKFace();
  Store the point information of the detected face information in  face Class 
         // Two new AFR_FSDKFace class , Save face feature information 
                  AFR_FSDKFace face1 = new AFR_FSDKFace();
                  AFR_FSDKFace face2 = new AFR_FSDKFace();
                // Detection of facial feature information 
                er = engine_camera.AFR_FSDK_ExtractFRFeature(data_image, bitmap_idcard.getWidth(), bitmap_idcard.getHeight(), AFR_FSDKEngine.CP_PAF_NV21, new Rect(result_image.get(0).getRect()), result_image.get(0).getDegree(), face1);
                er = engine_camera.AFR_FSDK_ExtractFRFeature(data, wid, hei, AFR_FSDKEngine.CP_PAF_NV21, new Rect(result_fd.get(0).getRect()), result_fd.get(0).getDegree(), face2);

  The similarity information of the final comparison is stored in score in ,
 float  score_face = score.getScore();

We can get... In this way The similarity information we want , The final data is float Type of .

This is the basic use process of hongruan , I wrote about the use of Baidu's face recognition in the previous article , You can have a look , Comparison , Choose according to your needs .

Finally, if there is anything you don't understand , Welcome to comment and ask questions , You can also add my QQ1064902365 Consultation .

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