Untitled

" I/Timeline: Timeline: Activity_idle id: android.os.BinderProxy@3b1f22e3 time:316887865
      D/ViewRootImpl: ViewPostImeInputStage ACTION_DOWN
      E/path: ---------------
      -/storage/extSdCard/DCIM/Camera/20181120_150225.jpg
      E/base64: -----/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAMCAgMCAgMDAwM........
      D/PhoneWindow: *FMB* installDecor mIsFloating : true
         *FMB* installDecor flags : 8388610
      W/ResourceType: Failure getting entry for 0x01080946 (t=7 e=2374) (error -75)
      I/Choreographer: Skipped 64 frames!  The application may be doing too much work on its main thread.
      D/PhoneWindow: *FMB* isFloatingMenuEnabled mFloatingMenuBtn : null
         *FMB* isFloatingMenuEnabled return false
      W/: Unable to open '/system/framework/timakeystore.jar': No such file or directory
      W/art: Failed to open zip archive '/system/framework/timakeystore.jar': I/O Error
      I/System.out: Thread-115750(ApacheHTTPLog):Reading from variable values from setDefaultValuesToVariables
      I/System.out: Thread-115750(ApacheHTTPLog):isSBSettingEnabled false
         Thread-115750(ApacheHTTPLog):isShipBuild true
         Thread-115750(ApacheHTTPLog):SMARTBONDING_ENABLED is false
         Thread-115750(ApacheHTTPLog):SmartBonding Enabling is false, SHIP_BUILD is true, log to file is false, DBG is false
      I/System.out: AsyncTask #1 calls detatch()
      V/log_tag: In the try Loop<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 3.2 Final//EN">
        <title>400 Bad Request</title>

<p>The browser (or proxy) sent a request that this server could not understand.</p>
 D/InputMethodManager: windowDismissed mLockisused = false
 E/ViewRootImpl: sendUserActionEvent() mView == null
 V/ActivityThread: updateVisibility : ActivityRecord{31277cd1 token=android.os.BinderProxy@3b1f22e3 {com.example.user.ivrec/com.example.user.ivrec.MainActivity}} show : true "

private void upload() {
    // Image location URL
    Log.e("path", "----------------" + picturePath);

    // Image
    Bitmap bm = BitmapFactory.decodeFile(picturePath);
    ByteArrayOutputStream bao = new ByteArrayOutputStream();
    bm.compress(Bitmap.CompressFormat.JPEG, 90, bao);
    byte[] ba = bao.toByteArray();
    ba1 = Base64.encodeToString(ba, Base64.NO_WRAP);

    Log.e("base64", "-----" + ba1);

    // Upload image to server
    new uploadToServer().execute();

}

protected void onActivityResult(int requestCode, int resultCode, Intent data) {
    if (requestCode == 100 && resultCode == RESULT_OK) {

        selectedImage = data.getData();
        photo = (Bitmap) data.getExtras().get("data");

        // Cursor to get image uri to display

        String[] filePathColumn = {MediaStore.Images.Media.DATA};
        Cursor cursor = getContentResolver().query(selectedImage,
                filePathColumn, null, null, null);
        cursor.moveToFirst();

        int columnIndex = cursor.getColumnIndex(filePathColumn[0]);
        picturePath = cursor.getString(columnIndex);
        cursor.close();

        Bitmap photo = (Bitmap) data.getExtras().get("data");
        ImageView imageView = (ImageView) findViewById(R.id.Imageprev);
        imageView.setImageBitmap(photo);
    }
}

public class uploadToServer extends AsyncTask<Void, Void, String> {

    private ProgressDialog pd = new ProgressDialog(MainActivity.this);
    protected void onPreExecute() {
        super.onPreExecute();
        pd.setMessage("Wait image uploading!");
        pd.show();
    }

    @Override
    protected String doInBackground(Void... params) {

        ArrayList<NameValuePair> nameValuePairs = new ArrayList<NameValuePair>();
        nameValuePairs.add(new BasicNameValuePair("base64", ba1));
        nameValuePairs.add(new BasicNameValuePair("ImageName", System.currentTimeMillis() + ".jpg"));
        try {
            HttpClient httpclient = new DefaultHttpClient();
            HttpPost httppost = new HttpPost(URL);
            httppost.setEntity(new UrlEncodedFormEntity(nameValuePairs));
            HttpResponse response = httpclient.execute(httppost);
            String st = EntityUtils.toString(response.getEntity());
            Log.v("log_tag", "In the try Loop" + st);

        } catch (Exception e) {
            Log.v("log_tag", "Error in http connection " + e.toString());
        }
        return "Success";
    }

    protected void onPostExecute(String result) {
        super.onPostExecute(result);
        pd.hide();
        pd.dismiss();
    }
}

#!flask/bin/python
import os
from flask import Flask, request, redirect, url_for, send_from_directory, json
from werkzeug.utils import secure_filename
import cv2

UPLOAD_FOLDER = '/home/pi/Data'
ALLOWED_EXTENSIONS = set(['png', 'jpg', 'jpeg', 'gif', 'mp4', 'mkv', '3gp', 'webm'])

app = Flask(__name__)
app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER

@app.route('/', methods=['POST'])
def make_recognition():

    #upload image
    file = request.files['image']
    f = os.path.join(app.config['UPLOAD_FOLDER'],
    secure_filename(f.filename))
    file.save(f)

    #find the number of faces in the photo
    img = cv2.imread(f.filename)
    gray_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    lbp_face_cascade = cv2.CascadeClassifier('/home/pi/opencv-3.3.0/data/lbpcascades/lbpcascade_frontalface.xml')
    faces = lbp_face_cascade.detectMultiScale(gray_img, scaleFactor=1.1, minNeighbors=5);
    recognition_result = len(faces)

    return recognition_result


if __name__ == '__main__':
    app.run(host='0.0.0.0', debug=True)