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import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable

from models import modelName

import numpy as np
import cv2

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#include <iostream>
#include "PytorchModel.h"

PytorchModel::PytorchModel()
{
	
	
}

/**

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#pragma once
#include <torch/script.h> // One-stop header.

#include <iostream>
#include <memory>
#include <ATen/ATen.h>

#include <opencv2/opencv.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/highgui/highgui.hpp>

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#include <torch/script.h> // One-stop header.

#include <iostream>
#include <memory>
#include <ATen/ATen.h>
#include "PytorchModel.h"
#include <opencv2/opencv.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/core/core.hpp>

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psscp.exe -r -pw PASSWORD /local/path/data user@IPadress:/path/to/dir/  

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plink.exe -batch -pw PASSWORD user@ip "commando" 

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# -*- coding: utf-8 -*-
"""
Created on Tue Dec 17 08:04:29 2019

@author: shino
"""

from __future__ import print_function
import torch
import torch.nn as nn