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// Copyright (C) 2014 Davis E. King (davis@dlib.net)
// License: Boost Software License See LICENSE.txt for the full license.
#ifndef DLIB_PYTHON_NuMPY_Hh_
#define DLIB_PYTHON_NuMPY_Hh_
#include <pybind11/pybind11.h>
#include <dlib/error.h>
#include <dlib/algs.h>
#include <dlib/string.h>
#include <dlib/array.h>
#include <dlib/pixel.h>
namespace py = pybind11;
// ----------------------------------------------------------------------------------------
template <typename TT>
void validate_numpy_array_type (
const py::object& obj
)
{
const char ch = obj.attr("dtype").attr("char").cast<char>();
using T = typename dlib::pixel_traits<TT>::basic_pixel_type;
if (dlib::is_same_type<T,double>::value)
{
if (ch != 'd')
throw dlib::error("Expected numpy.ndarray of float64");
}
else if (dlib::is_same_type<T,float>::value)
{
if (ch != 'f')
throw dlib::error("Expected numpy.ndarray of float32");
}
else if (dlib::is_same_type<T,dlib::int16>::value)
{
if (ch != 'h')
throw dlib::error("Expected numpy.ndarray of int16");
}
else if (dlib::is_same_type<T,dlib::uint16>::value)
{
if (ch != 'H')
throw dlib::error("Expected numpy.ndarray of uint16");
}
else if (dlib::is_same_type<T,dlib::int32>::value)
{
if (ch != 'i')
throw dlib::error("Expected numpy.ndarray of int32");
}
else if (dlib::is_same_type<T,dlib::uint32>::value)
{
if (ch != 'I')
throw dlib::error("Expected numpy.ndarray of uint32");
}
else if (dlib::is_same_type<T,unsigned char>::value)
{
if (ch != 'B')
throw dlib::error("Expected numpy.ndarray of uint8");
}
else if (dlib::is_same_type<T,signed char>::value)
{
if (ch != 'b')
throw dlib::error("Expected numpy.ndarray of int8");
}
else
{
throw dlib::error("validate_numpy_array_type() called with unsupported type.");
}
}
// ----------------------------------------------------------------------------------------
template <int dims>
void get_numpy_ndarray_shape (
const py::object& obj,
long (&shape)[dims]
)
/*!
ensures
- stores the shape of the array into #shape.
- the dimension of the given numpy array is not greater than #dims.
!*/
{
Py_buffer pybuf;
if (PyObject_GetBuffer(obj.ptr(), &pybuf, PyBUF_STRIDES ))
throw dlib::error("Expected numpy.ndarray with shape set.");
try
{
if (pybuf.ndim > dims)
throw dlib::error("Expected array with " + dlib::cast_to_string(dims) + " dimensions.");
for (int i = 0; i < dims; ++i)
{
if (i < pybuf.ndim)
shape[i] = pybuf.shape[i];
else
shape[i] = 1;
}
}
catch(...)
{
PyBuffer_Release(&pybuf);
throw;
}
PyBuffer_Release(&pybuf);
}
// ----------------------------------------------------------------------------------------
template <typename T, int dims>
void get_numpy_ndarray_parts (
py::object& obj,
T*& data,
dlib::array<T>& contig_buf,
long (&shape)[dims]
)
/*!
ensures
- extracts the pointer to the data from the given numpy ndarray. Stores the shape
of the array into #shape.
- the dimension of the given numpy array is not greater than #dims.
- #shape[#dims-1] == pixel_traits<T>::num when #dims is greater than 2
!*/
{
Py_buffer pybuf;
if (PyObject_GetBuffer(obj.ptr(), &pybuf, PyBUF_STRIDES | PyBUF_WRITABLE ))
throw dlib::error("Expected writable numpy.ndarray with shape set.");
try
{
validate_numpy_array_type<T>(obj);
if (pybuf.ndim > dims)
throw dlib::error("Expected array with " + dlib::cast_to_string(dims) + " dimensions.");
get_numpy_ndarray_shape(obj, shape);
if (dlib::pixel_traits<T>::num > 1 && dlib::pixel_traits<T>::num != shape[dims-1])
throw dlib::error("Expected numpy.ndarray with " + dlib::cast_to_string(dlib::pixel_traits<T>::num) + " channels.");
if (PyBuffer_IsContiguous(&pybuf, 'C'))
data = (T*)pybuf.buf;
else
{
contig_buf.resize(pybuf.len);
if (PyBuffer_ToContiguous(&contig_buf[0], &pybuf, pybuf.len, 'C'))
throw dlib::error("Can't copy numpy.ndarray to a contiguous buffer.");
data = &contig_buf[0];
}
}
catch(...)
{
PyBuffer_Release(&pybuf);
throw;
}
PyBuffer_Release(&pybuf);
}
// ----------------------------------------------------------------------------------------
template <typename T, int dims>
void get_numpy_ndarray_parts (
const py::object& obj,
const T*& data,
dlib::array<T>& contig_buf,
long (&shape)[dims]
)
/*!
ensures
- extracts the pointer to the data from the given numpy ndarray. Stores the shape
of the array into #shape.
- the dimension of the given numpy array is not greater than #dims.
- #shape[#dims-1] == pixel_traits<T>::num when #dims is greater than 2
!*/
{
Py_buffer pybuf;
if (PyObject_GetBuffer(obj.ptr(), &pybuf, PyBUF_STRIDES ))
throw dlib::error("Expected numpy.ndarray with shape set.");
try
{
validate_numpy_array_type<T>(obj);
if (pybuf.ndim > dims)
throw dlib::error("Expected array with " + dlib::cast_to_string(dims) + " dimensions.");
get_numpy_ndarray_shape(obj, shape);
if (dlib::pixel_traits<T>::num > 1 && dlib::pixel_traits<T>::num != shape[dims-1])
throw dlib::error("Expected numpy.ndarray with " + dlib::cast_to_string(dlib::pixel_traits<T>::num) + " channels.");
if (PyBuffer_IsContiguous(&pybuf, 'C'))
data = (const T*)pybuf.buf;
else
{
contig_buf.resize(pybuf.len);
if (PyBuffer_ToContiguous(&contig_buf[0], &pybuf, pybuf.len, 'C'))
throw dlib::error("Can't copy numpy.ndarray to a contiguous buffer.");
data = &contig_buf[0];
}
}
catch(...)
{
PyBuffer_Release(&pybuf);
throw;
}
PyBuffer_Release(&pybuf);
}
// ----------------------------------------------------------------------------------------
#endif // DLIB_PYTHON_NuMPY_Hh_
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