安卓前端+web后端 通信示例 POST (人脸识别)

/** 调用POST query/analyze方法示例* 1.将图片转化为Base64* 2.调用post方法进行操作* 3.返回alert* 作者：seven* 时间：2017-11-30* */private void testQueryAnalyze() {    //要传递的数据    String urlStr = "http://10.201.102.125:8080/v4/query/analyze";    InputStream strem = getResources().openRawResource(R.drawable.test);    Bitmap bitmap = BitmapFactory.decodeStream(strem);    String jsonStr = "{ \"analyzeOptions\": { \"attributeTypes\": { \"age\": false, \"blurriness\": false, \"eyeStatus\": false, \"gender\": false, \"minority\": false, \"mouthStatus\": false, \"pose\": false, \"quality\": false }, \"extractFeature\": true, \"extractLandmark\": true }, \"photoData\": \"" ;    jsonStr = jsonStr + Base64.encodeToString(Bitmap2Bytes(bitmap),Base64.NO_WRAP)+"\"}" ;    try {        JSONObject json_test = new JSONObject(jsonStr);        URL url = new URL(urlStr);        //获得连接        HttpURLConnection conn = (HttpURLConnection) url.openConnection();        conn.setRequestMethod("POST");        conn.setUseCaches(false);        conn.setConnectTimeout(50000);        conn.setReadTimeout(50000);        conn.setRequestProperty("Content-Type", "application/json");        conn.connect();        OutputStreamWriter out = new OutputStreamWriter(conn.getOutputStream());        out.write(jsonStr);        out.close();        StringBuilder sb = new StringBuilder();        int HttpResult = conn.getResponseCode();        if (HttpResult == 200) {            BufferedReader br = new BufferedReader(new InputStreamReader(                    conn.getInputStream(), "utf-8"));            String line = null;            while ((line = br.readLine()) != null) {                sb.append(line + "\n");            }            br.close();            Log.e("new Test", "" + sb.toString());            String msg = sb.toString();            showDialog(msg);        } else {            Log.e(" ", "" + conn.getResponseMessage());            showDialog(conn.getResponseMessage());        }    } catch (Exception e) {        showDialog(e.getMessage());    }}