Commit 78aeaca9 authored by Davis King's avatar Davis King

Added tools for interfacing with python images.

parent 5a385a3c
......@@ -6,6 +6,8 @@
#include "python/boost_python_utils.h"
#include "python/pyassert.h"
#include "python/serialize_pickle.h"
#include "python/numpy.h"
#include "python/numpy_image.h"
#endif // DLIB_PYTHoN_TOP_
......
// Copyright (C) 2014 Davis E. King (davis@dlib.net)
// License: Boost Software License See LICENSE.txt for the full license.
#ifndef DLIB_PYTHON_NuMPY_IMAGE_H__
#define DLIB_PYTHON_NuMPY_IMAGE_H__
#include "numpy.h"
#include <dlib/pixel.h>
#include <dlib/matrix.h>
// ----------------------------------------------------------------------------------------
class numpy_gray_image
{
public:
typedef unsigned char type;
typedef dlib::default_memory_manager mem_manager_type;
numpy_gray_image() : _data(0), _nr(0), _nc(0) {}
numpy_gray_image (boost::python::object& img)
{
long shape[2];
get_numpy_ndarray_parts(img, _data, shape);
_nr = shape[0];
_nc = shape[1];
}
unsigned long size () const { return static_cast<unsigned long>(_nr*_nc); }
inline type* operator[](const long row )
{ return _data + _nc*row; }
inline const type* operator[](const long row ) const
{ return _data + _nc*row; }
long nr() const { return _nr; }
long nc() const { return _nc; }
long width_step() const { return nc()*sizeof(type); }
private:
type* _data;
long _nr;
long _nc;
};
// ----------------------------------------------------------------------------------------
inline const dlib::matrix_op<dlib::op_array2d_to_mat<numpy_gray_image> > mat (
const numpy_gray_image& m
)
{
using namespace dlib;
typedef op_array2d_to_mat<numpy_gray_image> op;
return matrix_op<op>(op(m));
}
// ----------------------------------------------------------------------------------------
inline bool is_gray_python_image (boost::python::object& img)
{
try
{
numpy_gray_image temp(img);
return true;
}
catch (dlib::error&)
{
return false;
}
}
// ----------------------------------------------------------------------------------------
class numpy_rgb_image
{
public:
typedef dlib::rgb_pixel type;
typedef dlib::default_memory_manager mem_manager_type;
numpy_rgb_image() : _data(0), _nr(0), _nc(0) {}
numpy_rgb_image (boost::python::object& img)
{
long shape[3];
get_numpy_ndarray_parts(img, _data, shape);
_nr = shape[0];
_nc = shape[1];
if (shape[2] != 3)
throw dlib::error("Error, python object is not a three band image and therefore can't be a RGB image.");
}
unsigned long size () const { return static_cast<unsigned long>(_nr*_nc); }
inline type* operator[](const long row )
{ return _data + _nc*row; }
inline const type* operator[](const long row ) const
{ return _data + _nc*row; }
long nr() const { return _nr; }
long nc() const { return _nc; }
long width_step() const { return nc()*sizeof(type); }
private:
type* _data;
long _nr;
long _nc;
};
// ----------------------------------------------------------------------------------------
inline const dlib::matrix_op<dlib::op_array2d_to_mat<numpy_rgb_image> > mat (
const numpy_rgb_image& m
)
{
using namespace dlib;
typedef op_array2d_to_mat<numpy_rgb_image> op;
return matrix_op<op>(op(m));
}
// ----------------------------------------------------------------------------------------
inline bool is_rgb_python_image (boost::python::object& img)
{
try
{
numpy_rgb_image temp(img);
return true;
}
catch (dlib::error&)
{
return false;
}
}
// ----------------------------------------------------------------------------------------
#endif // DLIB_PYTHON_NuMPY_IMAGE_H__
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