daviddoria

#include "itkImage.h"
#include "itkImageFileWriter.h"

#include "itkPolyLineParametricPath.h"
#include "itkSpeedFunctionToPathFilter.h"
#include "itkPathIterator.h"
#include "itkGradientDescentOptimizer.h"
#include "itkSigmoidImageFilter.h"

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int vtkImageData::ComputeStructuredCoordinates( const double x[3], int ijk[3], double pcoords[3],
                                                const int* extent,
                                                const double* spacing,
                                                const double* origin,
                                                const double* bounds)
{
  // tolerance is needed for 2D data (this is squared tolerance)
  const double tol2 = 1e-12;
  //
  //  Compute the ijk location

daviddoria

# ~/.bashrc: executed by bash(1) for non-login shells.
# see /usr/share/doc/bash/examples/startup-files (in the package bash-doc)
# for examples

# If not running interactively, don't do anything
case $- in
    *i*) ;;
      *) return;;
esac

daviddoria

----------------------------------------------------------------------
-- This script demonstrates how to define a couple of different
-- models:
--   + 2-layer neural network (MLP)
--
----------------------------------------------------------------------

require 'torch'   -- torch
require 'nn'      -- provides all sorts of trainable modules/layers

daviddoria

# -*- coding: utf-8 -*-
import matplotlib.pyplot as plt
import numpy

hl, = plt.plot([], [])
#plt.show()

def update_line(hl, new_data):
    hl.set_xdata(numpy.append(hl.get_xdata(), new_data))
    hl.set_ydata(numpy.append(hl.get_ydata(), new_data))

daviddoria

#include <iostream>

struct Point
{
public:
    double x,y,z;
};

// A mixin to add an 'A' value to a point
template<class Base>

daviddoria

#ifndef ABSTRACT_POINT_H
#define ABSTRACT_POINT_H

#include <boost/serialization/export.hpp>

class AbstractPoint
{
public:
    virtual ~AbstractPoint(){}
    virtual void DoSomething() = 0;

daviddoria

#include "AbstractPoint.h"

BOOST_CLASS_EXPORT_IMPLEMENT(AbstractPoint)

daviddoria

#include "AbstractPoint.h"


//BOOST_CLASS_EXPORT_IMPLEMENT(AbstractPoint)

daviddoria

#include <iostream>

#include <boost/graph/graph_traits.hpp>
#include <boost/graph/adjacency_list.hpp>
 
typedef boost::property<boost::edge_weight_t, double> EdgeWeightProperty;
 
/*
adjacency_list<OutEdgeList, VertexList, Directed,
               VertexProperties, EdgeProperties,