arasharchor

#include "stdafx.h"

/*
// configs
//image to load (will not load if USING_VIDEO = true)
#define IMAGE_NAME "fire2.jpg"

//video to load
#define VIDEO_NAME "flamethrower.mp4"  

arasharchor

1. Introduction

我々の手法は最新の手法と似たアプローチを取るが、単眼からの顔の復元をリアルタイムに行えるという点にコントリビューションがある。 [5,11,13]はリアルタイムではない。我々はリアルタイムにRGBだけで表情転写するのが目的。

[5] C. Bregler, M. Covell, and M. Slaney. Video rewrite: Driving visual speech with audio. In Proc. SIGGRAPH, pages 353–360. ACM Press/Addison-Wesley Publishing Co., 1997.

[11] K. Dale, K. Sunkavalli, M. K. Johnson, D. Vlasic, W. Matusik, and H. Pfister. Video face replacement. ACM TOG, 30(6):130, 2011. Proceeding Series, pages 281–288. ACM, 2006.

[13] P. Garrido, L. Valgaerts, O. Rehmsen, T. Thormaehlen, P. Perez, and C. Theobalt. Automatic face reenactment. In Proc. CVPR, 2014.

arasharchor

/**
 * Module dependencies
 */

var express = require('express');
var fs = require('fs');
var mongoose = require('mongoose');
var Schema = mongoose.Schema;

// img path

arasharchor

##VGG16 model for Keras

This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.

It has been obtained by directly converting the Caffe model provived by the authors.

Details about the network architecture can be found in the following arXiv paper:

Very Deep Convolutional Networks for Large-Scale Image Recognition

K. Simonyan, A. Zisserman

arasharchor

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

arasharchor

import numpy as np

class KNearestNeighbor:
  """ a kNN classifier with L2 distance """

  def __init__(self):
    pass

  def train(self, X, y):
    """