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Copy pathmaxflow.cpp
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executable file
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#include <Python.h>
#include "numpy/arrayobject.h"
#include "maxflow-v3.0/graph.h"
#include "util.h"
#include <iostream>
using namespace std;
// example to use numpy object: http://blog.debao.me/2013/04/my-first-c-extension-to-numpy/
// write a c extension ot Numpy: http://folk.uio.no/hpl/scripting/doc/python/NumPy/Numeric/numpy-13.html
static PyObject *
maxflow2d_wrapper(PyObject *self, PyObject *args)
{
PyObject *I=NULL, *P=NULL, *param=NULL;
PyArrayObject *arr_I=NULL, *arr_P=NULL;
if (!PyArg_ParseTuple(args, "OOO", &I, &P, ¶m)) return NULL;
arr_I = (PyArrayObject*)PyArray_FROM_OTF(I, NPY_FLOAT32, NPY_IN_ARRAY);
arr_P = (PyArrayObject*)PyArray_FROM_OTF(P, NPY_FLOAT32, NPY_IN_ARRAY);
if (arr_I == NULL || arr_P == NULL) return NULL;
float lambda = PyFloat_AsDouble(PyTuple_GET_ITEM(param, 0));
float sigma = PyFloat_AsDouble(PyTuple_GET_ITEM(param, 1));
/*vv* code that makes use of arguments *vv*/
int dimI = PyArray_NDIM(arr_I); // number of dimensions
int dimP = PyArray_NDIM(arr_P);
npy_intp * shapeI = PyArray_DIMS(arr_I); // npy_intp array of length nd showing length in each dim
npy_intp * shapeP = PyArray_DIMS(arr_P);
if(dimI > 3){
cout << "the input dimension can only be 2 or 3"<<endl;
return NULL;
}
if(dimP != 3){
cout << "dimension of probabilily map should be 3"<<endl;
return NULL;
}
if(shapeI[0] != shapeP[0] || shapeI[1] != shapeP[1]){
cout << "image and probability map have different sizes"<<endl;
return NULL;
}
if(shapeP[2] != 2){
cout << "probabilily map should have two channels"<<endl;
return NULL;
}
int chns = 1;
if(dimI == 3) chns = shapeI[2];
npy_intp outshape[2];
outshape[0]=shapeI[0];
outshape[1]=shapeI[1];
PyArrayObject * arr_L = (PyArrayObject*) PyArray_SimpleNew(2, outshape, NPY_INT8);
maxflow_inference((unsigned char *) arr_L->data, (const float *) arr_I->data, (const float *) arr_P->data, NULL,
shapeI[0], shapeI[1], chns, 2, lambda, sigma);
Py_DECREF(arr_I);
Py_DECREF(arr_P);
Py_INCREF(arr_L);
return PyArray_Return(arr_L);
}
static PyObject *
interactive_maxflow2d_wrapper(PyObject *self, PyObject *args)
{
PyObject *I=NULL, *P=NULL, *S=NULL, *param=NULL;
PyArrayObject *arr_I=NULL, *arr_P=NULL, *arr_S=NULL;
if (!PyArg_ParseTuple(args, "OOOO", &I, &P, &S, ¶m)) return NULL;
arr_I = (PyArrayObject*)PyArray_FROM_OTF(I, NPY_FLOAT32, NPY_IN_ARRAY);
arr_P = (PyArrayObject*)PyArray_FROM_OTF(P, NPY_FLOAT32, NPY_IN_ARRAY);
arr_S = (PyArrayObject*)PyArray_FROM_OTF(S, NPY_UINT8, NPY_IN_ARRAY);
if (arr_I == NULL || arr_P == NULL || arr_S == NULL) return NULL;
float lambda = PyFloat_AsDouble(PyTuple_GET_ITEM(param, 0));
float sigma = PyFloat_AsDouble(PyTuple_GET_ITEM(param, 1));
/*vv* code that makes use of arguments *vv*/
int dimI = PyArray_NDIM(arr_I); // number of dimensions
int dimP = PyArray_NDIM(arr_P);
int dimS = PyArray_NDIM(arr_S);
npy_intp * shapeI = PyArray_DIMS(arr_I); // npy_intp array of length nd showing length in each dim.
npy_intp * shapeP = PyArray_DIMS(arr_P);
npy_intp * shapeS = PyArray_DIMS(arr_S);
if(dimI > 3){
cout << "the input dimension can only be 2 or 3"<<endl;
return NULL;
}
if(dimP != 3 || dimS != 3){
cout << "dimension of probabilily map and seed map should be 3"<<endl;
return NULL;
}
if(shapeI[0] != shapeP[0] || shapeI[1] != shapeP[1] ||
shapeI[0] != shapeS[0] || shapeI[1] != shapeS[1]){
cout << "image, probability map, and seed map should have the same spatial size"<<endl;
return NULL;
}
if(shapeP[2] != 2 || shapeS[2] !=2){
cout << "probabilily map and seed map should have two channels"<<endl;
return NULL;
}
int chns = 1;
if(dimI == 3) chns = shapeI[2];
npy_intp outshape[2];
outshape[0]=shapeI[0];
outshape[1]=shapeI[1];
PyArrayObject * arr_L = (PyArrayObject*) PyArray_SimpleNew(2, outshape, NPY_INT8);
maxflow_inference((unsigned char *) arr_L->data, (const float *) arr_I->data,
(const float *) arr_P->data, (const unsigned char *) arr_S->data,
shapeI[0], shapeI[1], chns, 2, lambda, sigma);
Py_DECREF(arr_I);
Py_DECREF(arr_P);
Py_DECREF(arr_S);
Py_INCREF(arr_L);
return PyArray_Return(arr_L);
}
static PyObject *
maxflow3d_wrapper(PyObject *self, PyObject *args)
{
PyObject *I=NULL, *P=NULL, *param=NULL;
PyArrayObject *arr_I=NULL, *arr_P=NULL;
if (!PyArg_ParseTuple(args, "OOO", &I, &P, ¶m)) return NULL;
arr_I = (PyArrayObject*)PyArray_FROM_OTF(I, NPY_FLOAT32, NPY_IN_ARRAY);
arr_P = (PyArrayObject*)PyArray_FROM_OTF(P, NPY_FLOAT32, NPY_IN_ARRAY);
if (arr_I == NULL || arr_P == NULL) return NULL;
float lambda = PyFloat_AsDouble(PyTuple_GET_ITEM(param, 0));
float sigma = PyFloat_AsDouble(PyTuple_GET_ITEM(param, 1));
/*vv* code that makes use of arguments *vv*/
int dimI = PyArray_NDIM(arr_I); // number of dimensions
int dimP = PyArray_NDIM(arr_P);
npy_intp * shapeI = PyArray_DIMS(arr_I); // npy_intp array of length nd showing length in each dim
npy_intp * shapeP = PyArray_DIMS(arr_P);
if(dimI !=3 && dimI != 4){
cout << "the input dimension can only be 3 or 4"<<endl;
return NULL;
}
if(dimP != 4){
cout << "dimension of probabilily map should be 4"<<endl;
return NULL;
}
if(shapeI[0] != shapeP[0] || shapeI[1] != shapeP[1] || shapeI[2] != shapeP[2]){
cout << "image and probability map have different sizes"<<endl;
return NULL;
}
if(shapeP[3] != 2){
cout << "probabilily map should have two channels"<<endl;
return NULL;
}
int chns = 1;
if(dimI == 4) chns = shapeI[3];
npy_intp outshape[3] = {shapeI[0], shapeI[1], shapeI[2]};
PyArrayObject * arr_L = (PyArrayObject*) PyArray_SimpleNew(3, outshape, NPY_INT8);
maxflow3d_inference((unsigned char *) arr_L->data, (const float *) arr_I->data,
(const float *) arr_P->data, NULL,
shapeI[0], shapeI[1], shapeI[2], chns, 2, lambda, sigma);
Py_DECREF(arr_I);
Py_DECREF(arr_P);
Py_INCREF(arr_L);
return PyArray_Return(arr_L);
}
static PyObject *
interactive_maxflow3d_wrapper(PyObject *self, PyObject *args)
{
PyObject *I=NULL, *P=NULL, *S=NULL, *param=NULL;
PyArrayObject *arr_I=NULL, *arr_P=NULL, *arr_S=NULL;
if (!PyArg_ParseTuple(args, "OOOO", &I, &P, &S, ¶m)) return NULL;
arr_I = (PyArrayObject*)PyArray_FROM_OTF(I, NPY_FLOAT32, NPY_IN_ARRAY);
arr_P = (PyArrayObject*)PyArray_FROM_OTF(P, NPY_FLOAT32, NPY_IN_ARRAY);
arr_S = (PyArrayObject*)PyArray_FROM_OTF(S, NPY_UINT8, NPY_IN_ARRAY);
if (arr_I == NULL || arr_P == NULL || arr_S == NULL) return NULL;
float lambda = PyFloat_AsDouble(PyTuple_GET_ITEM(param, 0));
float sigma = PyFloat_AsDouble(PyTuple_GET_ITEM(param, 1));
/*vv* code that makes use of arguments *vv*/
int dimI = PyArray_NDIM(arr_I); // number of dimensions
int dimP = PyArray_NDIM(arr_P);
int dimS = PyArray_NDIM(arr_S);
npy_intp * shapeI = PyArray_DIMS(arr_I); // npy_intp array of length nd showing length in each dim.
npy_intp * shapeP = PyArray_DIMS(arr_P);
npy_intp * shapeS = PyArray_DIMS(arr_S);
if(dimI !=3 && dimI != 4){
cout << "the input dimension can only be 3 or 4"<<endl;
return NULL;
}
if(dimP != 4 || dimS != 4){
cout << "dimension of probabilily map and seed map should be 4"<<endl;
return NULL;
}
if(shapeI[0] != shapeP[0] || shapeI[1] != shapeP[1] || shapeI[2] != shapeP[2] ||
shapeI[0] != shapeS[0] || shapeI[1] != shapeS[1] || shapeI[2] != shapeS[2]){
cout << "image, probability map, and seed map should have the same spatial size"<<endl;
return NULL;
}
if(shapeP[3] != 2 || shapeS[3] !=2){
cout << "probabilily map and seed map should have two channels"<<endl;
return NULL;
}
int chns = 1;
if(dimI == 4) chns = shapeI[3];
npy_intp outshape[3] = {shapeI[0], shapeI[1], shapeI[2]};
PyArrayObject * arr_L = (PyArrayObject*) PyArray_SimpleNew(3, outshape, NPY_INT8);
maxflow3d_inference((unsigned char *) arr_L->data, (const float *) arr_I->data,
(const float *) arr_P->data, (const unsigned char *) arr_S->data,
shapeI[0], shapeI[1], shapeI[2], chns, 2, lambda, sigma);
Py_DECREF(arr_I);
Py_DECREF(arr_P);
Py_DECREF(arr_S);
Py_INCREF(arr_L);
return PyArray_Return(arr_L);
}
static PyMethodDef Methods[] = {
{"maxflow2d", maxflow2d_wrapper, METH_VARARGS, "computing 2D max flow"},
{"interactive_maxflow2d", interactive_maxflow2d_wrapper, METH_VARARGS, "computing 2D max flow with interactions"},
{"maxflow3d", maxflow3d_wrapper, METH_VARARGS, "computing 3D max flow"},
{"interactive_maxflow3d", interactive_maxflow3d_wrapper, METH_VARARGS, "computing 3D max flow with interactions"},
{NULL, NULL, 0, NULL}
};