Android nv21

/*package com.example.administrator.arcfacedemo;import android.graphics.Bitmap;import android.util.Log;import com.arcsoft.facedetection.AFD_FSDKEngine;import com.arcsoft.facedetection.AFD_FSDKError;import com.arcsoft.facedetection.AFD_FSDKFace;import java.util.ArrayList;import java.util.List;*//** * Created by Administrator on 2017/10/12. *//*public class FaceUtils {    public static byte[] getNV21(int inputWidth, int inputHeight, Bitmap scaled) throws Exception {        int[] argb = new int[inputWidth * inputHeight];        scaled.getPixels(argb, 0, inputWidth, 0, 0, inputWidth, inputHeight);        byte[] yuv = new byte[inputWidth * inputHeight * 3 / 2];        encodeYUV420SP(yuv, argb, inputWidth, inputHeight);        scaled.recycle();        return yuv;    }    private static void encodeYUV420SP(byte[] yuv420sp, int[] argb, int width, int height) throws Exception {        final int frameSize = width * height;        int yIndex = 0;        int uvIndex = frameSize;        int a, R, G, B, Y, U, V;        int index = 0;        for (int j = 0; j < height; j++) {            for (int i = 0; i < width; i++) {                a = (argb[index] & 0xff000000) >> 24; // a is not used obviously                R = (argb[index] & 0xff0000) >> 16;                G = (argb[index] & 0xff00) >> 8;                B = (argb[index] & 0xff) >> 0;                // well known RGB to YUV algorithm                Y = ((66 * R + 129 * G + 25 * B + 128) >> 8) + 16;                U = ((-38 * R - 74 * G + 112 * B + 128) >> 8) + 128;                V = ((112 * R - 94 * G - 18 * B + 128) >> 8) + 128;                // NV21 has a plane of Y and interleaved planes of VU each sampled by a factor of 2                //    meaning for every 4 Y pixels there are 1 V and 1 U.  Note the sampling is every other                //    pixel AND every other scanline.                yuv420sp[yIndex++] = (byte) ((Y < 0) ? 0 : ((Y > 255) ? 255 : Y));                if (j % 2 == 0 && index % 2 == 0) {                    yuv420sp[uvIndex++] = (byte) ((V < 0) ? 0 : ((V > 255) ? 255 : V));                    yuv420sp[uvIndex++] = (byte) ((U < 0) ? 0 : ((U > 255) ? 255 : U));                }                index++;            }        }    }    public static void process(byte[] data, int width, int height) {        AFD_FSDKEngine engine = new AFD_FSDKEngine();        // 用来存放检测到的人脸信息列表        List<AFD_FSDKFace> result = new ArrayList<AFD_FSDKFace>();        //初始化人脸检测引擎，使用时请替换申请的APPID和SDKKEY        AFD_FSDKError err = engine.AFD_FSDK_InitialFaceEngine("CNHHFXxBzAPGt1NHQMCzpuV85LkPhBbHZNiA3L9babL8","2VFuoqBt7qvMSjrfxBYvKQLUiXVGeAvMxyvxAcRxKfGa", AFD_FSDKEngine.AFD_OPF_0_HIGHER_EXT, 16, 5);        Log.d("com.arcsoft", "AFD_FSDK_InitialFaceEngine = " + err.getCode());        //输入的data数据为NV21格式（如Camera里NV21格式的preview数据），其中height不能为奇数，人脸检测返回结果保存在result。        err = engine.AFD_FSDK_StillImageFaceDetection(data, width, height, AFD_FSDKEngine.CP_PAF_NV21, result);        Log.d("com.arcsoft", "AFD_FSDK_StillImageFaceDetection =" + err.getCode());        Log.d("com.arcsoft", "Face=" + result.size());        for (AFD_FSDKFace face : result) {            Log.d("com.arcsoft", "Face:" + face.toString());        }        //销毁人脸检测引擎        err = engine.AFD_FSDK_UninitialFaceEngine();        Log.d("com.arcsoft", "AFD_FSDK_UninitialFaceEngine =" + err.getCode());    }}*/