OlegJakushkin

using UnityEngine;
using System.Collections;

public class Informer : MonoBehaviour {

	// Use this for initialization
	void Start () {
		var parent = this.transform.parent;
		while (parent != null) {
			var controller = parent.GetComponent<Controller> ();

OlegJakushkin

using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;

namespace A
{

    public class Inner

OlegJakushkin

// Install-Package boost -Version 1.55.0.16 
// Install-Package boost_system-vc110 -Version 1.55.0.16 

#include <zmq.hpp>
#include <sstream>
#include <iostream>
#include <thread>
#include <map>

#include <boost/serialization/serialization.hpp>

OlegJakushkin

//Install-Package Microsoft.Azure.Management.Resources -Pre
//Install-Package Microsoft.IdentityModel.Clients.ActiveDirectory -Pre
using System;
using System.IO;
using Microsoft.Azure.Management.Resources;
using Microsoft.Azure.Management.Resources.Models;
using Microsoft.IdentityModel.Clients.ActiveDirectory;
using Microsoft.Rest;
using Newtonsoft.Json;

OlegJakushkin

// Install-Package boost -Version 1.55.0.16 
// Install-Package boost_system-vc110 -Version 1.55.0.16 

#include <sstream>
#include <iostream>
#include <thread>
#include <map>
#include <mutex>

#include <boost/serialization/serialization.hpp>

OlegJakushkin

#include <vector>
#include <algorithm>
#include <random>
#include <cmath>
#include <functional>
#include <iostream>
#include <benchmark/benchmark.h>
#include <numeric>
#include <blond/trackers/sin.h>
using namespace std;

OlegJakushkin

Benchmark                         Time           CPU Iterations
---------------------------------------------------------------
0
0
0
BM_sin_default/2G        8033266544 ns 63660000000 ns          1
BM_sin_default/2G        8028728247 ns 63716000000 ns          1
BM_sin_default/2G        8061509609 ns 63952000000 ns          1
BM_sin_default/2G_mean   8041168133 ns 63776000000 ns          1
BM_sin_default/2G_stddev   14502431 ns  126533263 ns          0

OlegJakushkin

# coding=UTF-8
import cv2
import numpy as np
from matplotlib import pyplot as plt

img1 = cv2.imread('hp-label.PNG', 0)  # trainImage
img2 = cv2.imread('input.PNG', 0)  # queryImage

orb = cv2.ORB_create(edgeThreshold=4, patchSize=16)  # ORB
# http://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_feature2d/py_fast/py_fast.html

OlegJakushkin

#!/usr/bin/env python
#####################################################################
# This script presents different formats of the screen buffer.
# OpenCV is used here to display images, install it or remove any
# references to cv2
# Configuration is loaded from "../../examples/config/basic.cfg" file.
# <episodes> number of episodes are played.
# Random combination of buttons is chosen for every action.
# Game variables from state and last reward are printed.

OlegJakushkin

#!/usr/bin/env python
#####################################################################
# python -m pip install --upgrade pip
# pip install -U  numpy
#####################################################################
from __future__ import print_function

from random import choice
from vizdoom import *
import cv2