vincent732

# -*- coding: utf-8 -*
import caffe
import lmdb
import numpy as np
import cv2
from caffe.proto import caffe_pb2
import sys
 
lmdb_env = lmdb.open(sys.argv[-1], map_size=int(1e9))
 

vincent732

public class ClientActivity extends Activity implements View.OnClickListener {

    private static final String TAG = ClientActivity.class.getSimpleName();
    private IRemoteService mService;

    private ServiceConnection mServiceConnection = new ServiceConnection() {
        @Override
        public void onServiceConnected(ComponentName name, IBinder service) {
            Toast.makeText(ClientActivity.this, "Service connected", Toast.LENGTH_SHORT).show();
            mService = IRemoteService.Stub.asInterface(service);

vincent732

<service
  android:name=".RemoteService"
  android:enabled="true"
  android:exported="true" >

  <intent-filter>
  	<action android:name="com.xxx.xxx.IRemoteService" />
  </intent-filter>
</service>

vincent732

public class RemoteService extends Service {
    private static final String TAG = RemoteService.class.getSimpleName();
    private final IRemoteService.Stub mBinder = new IRemoteService.Stub() {
        @Override
        public int someOperate(int a, int b) throws RemoteException {
            Log.d(TAG, "called RemoteService someOperate()");
            return a + b;
        }
    };

vincent732

interface IRemoteService {
    int someOperate(int a, int b);
}

vincent732

public class MainActivity extends Activity {
    private MyReceiver receiver;

    @Override
    protected void onCreate(Bundle savedInstanceState) {
        super.onCreate(savedInstanceState);
        setContentView(R.layout.activity_main);


        // Register receiver dynamically.

vincent732

public MyDownloadService extends IntentService {
    public static final int DOWNLOAD_ERROR = 10;
    public static final int DOWNLOAD_SUCCESS = 11;

    public MyDownloadService() {
      super(MyDownloadService.class.getName());
    }


    @Override

vincent732

import tensorflow as tf
from models import inception_resnet_v1 as network
import os
import numpy as np
from tensorflow.python.framework.graph_util import convert_variables_to_constants

def get_model_filenames(model_dir):
    files = os.listdir(model_dir)
    meta_files = [s for s in files if s.endswith('.meta')]
    if len(meta_files)==0: