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opencv/modules/python/cv.cpp
James Bowman d6c6c3ecda #393, SnakeImage
2010-06-23 20:18:52 +00:00

3959 lines
109 KiB
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#include <Python.h>
#include <assert.h>
#include <opencv/cxcore.h>
#include <opencv/cv.h>
#include <opencv/cvaux.h>
#include <opencv/cvwimage.h>
#include <opencv/highgui.h>
#define MODULESTR "cv"
static PyObject *opencv_error;
struct memtrack_t {
PyObject_HEAD
void *ptr;
Py_ssize_t size;
};
struct iplimage_t {
PyObject_HEAD
IplImage *a;
PyObject *data;
size_t offset;
};
struct cvmat_t {
PyObject_HEAD
CvMat *a;
PyObject *data;
size_t offset;
};
struct cvmatnd_t {
PyObject_HEAD
CvMatND *a;
PyObject *data;
size_t offset;
};
struct cvhistogram_t {
PyObject_HEAD
CvHistogram h;
PyObject *bins;
};
struct cvmemstorage_t {
PyObject_HEAD
CvMemStorage *a;
};
struct cvseq_t {
PyObject_HEAD
CvSeq *a;
PyObject *container; // Containing cvmemstorage_t
};
struct cvset_t {
PyObject_HEAD
CvSet *a;
PyObject *container; // Containing cvmemstorage_t
int i;
};
struct cvsubdiv2d_t {
PyObject_HEAD
CvSubdiv2D *a;
PyObject *container; // Containing cvmemstorage_t
};
struct cvsubdiv2dpoint_t {
PyObject_HEAD
CvSubdiv2DPoint *a;
PyObject *container; // Containing cvmemstorage_t
};
struct cvsubdiv2dedge_t {
PyObject_HEAD
CvSubdiv2DEdge a;
PyObject *container; // Containing cvmemstorage_t
};
struct cvlineiterator_t {
PyObject_HEAD
CvLineIterator iter;
int count;
int type;
};
typedef IplImage ROIplImage;
typedef const CvMat ROCvMat;
typedef PyObject PyCallableObject;
struct cvfont_t {
PyObject_HEAD
CvFont a;
};
struct cvcontourtree_t {
PyObject_HEAD
CvContourTree *a;
};
struct cvrng_t {
PyObject_HEAD
CvRNG a;
};
static int is_iplimage(PyObject *o);
static int is_cvmat(PyObject *o);
static int is_cvmatnd(PyObject *o);
static int convert_to_CvArr(PyObject *o, CvArr **dst, const char *name = "no_name");
static int convert_to_IplImage(PyObject *o, IplImage **dst, const char *name = "no_name");
static int convert_to_CvMat(PyObject *o, CvMat **dst, const char *name = "no_name");
static int convert_to_CvMatND(PyObject *o, CvMatND **dst, const char *name = "no_name");
static PyObject *what_data(PyObject *o);
static PyObject *FROM_CvMat(CvMat *r);
static PyObject *FROM_ROCvMatPTR(ROCvMat *r);
static PyObject *shareDataND(PyObject *donor, CvMatND *pdonor, CvMatND *precipient);
#define FROM_double(r) PyFloat_FromDouble(r)
#define FROM_float(r) PyFloat_FromDouble(r)
#define FROM_int(r) PyInt_FromLong(r)
#define FROM_int64(r) PyLong_FromLongLong(r)
#define FROM_unsigned(r) PyLong_FromUnsignedLong(r)
#define FROM_CvBox2D(r) Py_BuildValue("(ff)(ff)f", r.center.x, r.center.y, r.size.width, r.size.height, r.angle)
#define FROM_CvScalar(r) Py_BuildValue("(ffff)", r.val[0], r.val[1], r.val[2], r.val[3])
#define FROM_CvPoint(r) Py_BuildValue("(ii)", r.x, r.y)
#define FROM_CvPoint2D32f(r) Py_BuildValue("(ff)", r.x, r.y)
#define FROM_CvPoint3D64f(r) Py_BuildValue("(fff)", r.x, r.y, r.z)
#define FROM_CvSize(r) Py_BuildValue("(ii)", r.width, r.height)
#define FROM_CvRect(r) Py_BuildValue("(iiii)", r.x, r.y, r.width, r.height)
#define FROM_CvSeqPTR(r) _FROM_CvSeqPTR(r, pyobj_storage)
#define FROM_CvSubdiv2DPTR(r) _FROM_CvSubdiv2DPTR(r, pyobj_storage)
#define FROM_CvPoint2D64f(r) Py_BuildValue("(ff)", r.x, r.y)
#define FROM_CvConnectedComp(r) Py_BuildValue("(fNN)", (r).area, FROM_CvScalar((r).value), FROM_CvRect((r).rect))
#if PYTHON_USE_NUMPY
static PyObject *fromarray(PyObject *o, int allowND);
#endif
static void translate_error_to_exception(void)
{
PyErr_SetString(opencv_error, cvErrorStr(cvGetErrStatus()));
cvSetErrStatus(0);
}
#define ERRCHK do { if (cvGetErrStatus() != 0) { translate_error_to_exception(); return NULL; } } while (0)
#define ERRWRAP(F) \
do { \
try \
{ \
F; \
} \
catch (const cv::Exception &e) \
{ \
PyErr_SetString(opencv_error, e.err.c_str()); \
return NULL; \
} \
ERRCHK; \
} while(0)
/************************************************************************/
static int failmsg(const char *fmt, ...)
{
char str[1000];
va_list ap;
va_start(ap, fmt);
vsnprintf(str, sizeof(str), fmt, ap);
va_end(ap);
PyErr_SetString(PyExc_TypeError, str);
return 0;
}
/************************************************************************/
/* These get/setters are polymorphic, used in both iplimage and cvmat */
static PyObject *PyObject_FromCvScalar(CvScalar s, int type)
{
int i, spe = CV_MAT_CN(type);
PyObject *r;
if (spe > 1) {
r = PyTuple_New(spe);
for (i = 0; i < spe; i++)
PyTuple_SET_ITEM(r, i, PyFloat_FromDouble(s.val[i]));
} else {
r = PyFloat_FromDouble(s.val[0]);
}
return r;
}
static PyObject *cvarr_GetItem(PyObject *o, PyObject *key);
static int cvarr_SetItem(PyObject *o, PyObject *key, PyObject *v);
// o is a Python string or buffer object. Return its size.
static Py_ssize_t what_size(PyObject *o)
{
void *buffer;
Py_ssize_t buffer_len;
if (PyString_Check(o)) {
return PyString_Size(o);
} else if (PyObject_AsWriteBuffer(o, &buffer, &buffer_len) == 0) {
return buffer_len;
} else {
assert(0); // argument must be string or buffer.
return 0;
}
}
/************************************************************************/
CvMat *PyCvMat_AsCvMat(PyObject *o)
{
assert(0); // not yet implemented: reference counting for CvMat in Kalman is unclear...
return NULL;
}
#define cvReleaseIplConvKernel(x) cvReleaseStructuringElement(x)
#include "generated3.i"
/* iplimage */
static void iplimage_dealloc(PyObject *self)
{
iplimage_t *pc = (iplimage_t*)self;
cvReleaseImageHeader((IplImage**)&pc->a);
Py_DECREF(pc->data);
PyObject_Del(self);
}
static PyObject *iplimage_repr(PyObject *self)
{
iplimage_t *cva = (iplimage_t*)self;
IplImage* ipl = (IplImage*)(cva->a);
char str[1000];
sprintf(str, "<iplimage(");
char *d = str + strlen(str);
sprintf(d, "nChannels=%d ", ipl->nChannels);
d += strlen(d);
sprintf(d, "width=%d ", ipl->width);
d += strlen(d);
sprintf(d, "height=%d ", ipl->height);
d += strlen(d);
sprintf(d, "widthStep=%d ", ipl->widthStep);
d += strlen(d);
sprintf(d, ")>");
return PyString_FromString(str);
}
static PyObject *iplimage_tostring(PyObject *self, PyObject *args)
{
iplimage_t *pc = (iplimage_t*)self;
IplImage *i;
if (!convert_to_IplImage(self, &i, "self"))
return NULL;
if (i == NULL)
return NULL;
int bps;
switch (i->depth) {
case IPL_DEPTH_8U:
case IPL_DEPTH_8S:
bps = 1;
break;
case IPL_DEPTH_16U:
case IPL_DEPTH_16S:
bps = 2;
break;
case IPL_DEPTH_32S:
case IPL_DEPTH_32F:
bps = 4;
break;
case IPL_DEPTH_64F:
bps = 8;
break;
default:
return (PyObject*)failmsg("Unrecognised depth %d", i->depth);
}
int bpl = i->width * i->nChannels * bps;
if (PyString_Check(pc->data) && bpl == i->widthStep && pc->offset == 0 && ((bpl * i->height) == what_size(pc->data))) {
Py_INCREF(pc->data);
return pc->data;
} else {
int l = bpl * i->height;
char *s = new char[l];
int y;
for (y = 0; y < i->height; y++) {
memcpy(s + y * bpl, i->imageData + y * i->widthStep, bpl);
}
PyObject *r = PyString_FromStringAndSize(s, l);
delete s;
return r;
}
}
static struct PyMethodDef iplimage_methods[] =
{
{"tostring", iplimage_tostring, METH_VARARGS},
{NULL, NULL}
};
static PyObject *iplimage_getnChannels(iplimage_t *cva)
{
return PyInt_FromLong(((IplImage*)(cva->a))->nChannels);
}
static PyObject *iplimage_getwidth(iplimage_t *cva)
{
return PyInt_FromLong(((IplImage*)(cva->a))->width);
}
static PyObject *iplimage_getheight(iplimage_t *cva)
{
return PyInt_FromLong(((IplImage*)(cva->a))->height);
}
static PyObject *iplimage_getdepth(iplimage_t *cva)
{
return PyLong_FromUnsignedLong((unsigned)((IplImage*)(cva->a))->depth);
}
static PyObject *iplimage_getorigin(iplimage_t *cva)
{
return PyInt_FromLong(((IplImage*)(cva->a))->origin);
}
static void iplimage_setorigin(iplimage_t *cva, PyObject *v)
{
((IplImage*)(cva->a))->origin = PyInt_AsLong(v);
}
static PyGetSetDef iplimage_getseters[] = {
{(char*)"nChannels", (getter)iplimage_getnChannels, (setter)NULL, (char*)"nChannels", NULL},
{(char*)"channels", (getter)iplimage_getnChannels, (setter)NULL, (char*)"nChannels", NULL},
{(char*)"width", (getter)iplimage_getwidth, (setter)NULL, (char*)"width", NULL},
{(char*)"height", (getter)iplimage_getheight, (setter)NULL, (char*)"height", NULL},
{(char*)"depth", (getter)iplimage_getdepth, (setter)NULL, (char*)"depth", NULL},
{(char*)"origin", (getter)iplimage_getorigin, (setter)iplimage_setorigin, (char*)"origin", NULL},
{NULL} /* Sentinel */
};
static PyMappingMethods iplimage_as_map = {
NULL,
&cvarr_GetItem,
&cvarr_SetItem,
};
static PyTypeObject iplimage_Type = {
PyObject_HEAD_INIT(&PyType_Type)
0, /*size*/
MODULESTR".iplimage", /*name*/
sizeof(iplimage_t), /*basicsize*/
};
static void iplimage_specials(void)
{
iplimage_Type.tp_dealloc = iplimage_dealloc;
iplimage_Type.tp_as_mapping = &iplimage_as_map;
iplimage_Type.tp_repr = iplimage_repr;
iplimage_Type.tp_methods = iplimage_methods;
iplimage_Type.tp_getset = iplimage_getseters;
}
static int is_iplimage(PyObject *o)
{
return PyType_IsSubtype(o->ob_type, &iplimage_Type);
}
/************************************************************************/
/* cvmat */
static void cvmat_dealloc(PyObject *self)
{
cvmat_t *pc = (cvmat_t*)self;
if (pc->data) {
Py_DECREF(pc->data);
}
cvFree(&pc->a);
PyObject_Del(self);
}
static PyObject *cvmat_repr(PyObject *self)
{
CvMat *m = ((cvmat_t*)self)->a;
char str[1000];
sprintf(str, "<cvmat(");
char *d = str + strlen(str);
sprintf(d, "type=%08x ", m->type);
d += strlen(d);
sprintf(d, "rows=%d ", m->rows);
d += strlen(d);
sprintf(d, "cols=%d ", m->cols);
d += strlen(d);
sprintf(d, "step=%d ", m->step);
d += strlen(d);
sprintf(d, ")>");
return PyString_FromString(str);
}
static PyObject *cvmat_tostring(PyObject *self, PyObject *args)
{
CvMat *m;
if (!convert_to_CvMat(self, &m, "self"))
return NULL;
int bps; // bytes per sample
switch (CV_MAT_DEPTH(m->type)) {
case CV_8U:
case CV_8S:
bps = CV_MAT_CN(m->type) * 1;
break;
case CV_16U:
case CV_16S:
bps = CV_MAT_CN(m->type) * 2;
break;
case CV_32S:
case CV_32F:
bps = CV_MAT_CN(m->type) * 4;
break;
case CV_64F:
bps = CV_MAT_CN(m->type) * 8;
break;
default:
return (PyObject*)failmsg("Unrecognised depth %d", CV_MAT_DEPTH(m->type));
}
int bpl = m->cols * bps; // bytes per line
cvmat_t *pc = (cvmat_t*)self;
if (PyString_Check(pc->data) && bpl == m->step && pc->offset == 0 && ((bpl * m->rows) == what_size(pc->data))) {
Py_INCREF(pc->data);
return pc->data;
} else {
int l = bpl * m->rows;
char *s = new char[l];
int y;
for (y = 0; y < m->rows; y++) {
memcpy(s + y * bpl, m->data.ptr + y * m->step, bpl);
}
PyObject *r = PyString_FromStringAndSize(s, l);
delete s;
return r;
}
}
static struct PyMethodDef cvmat_methods[] =
{
{"tostring", cvmat_tostring, METH_VARARGS},
{NULL, NULL}
};
static PyObject *cvmat_gettype(cvmat_t *cva)
{
return PyInt_FromLong(cvGetElemType(cva->a));
}
static PyObject *cvmat_getstep(cvmat_t *cva)
{
return PyInt_FromLong(cva->a->step);
}
static PyObject *cvmat_getrows(cvmat_t *cva)
{
return PyInt_FromLong(cva->a->rows);
}
static PyObject *cvmat_getcols(cvmat_t *cva)
{
return PyInt_FromLong(cva->a->cols);
}
static PyObject *cvmat_getchannels(cvmat_t *cva)
{
return PyInt_FromLong(CV_MAT_CN(cva->a->type));
}
#if PYTHON_USE_NUMPY
#include "numpy/ndarrayobject.h"
// A PyArrayInterface, with an associated python object that should be DECREF'ed on release
struct arrayTrack {
PyArrayInterface s;
PyObject *o;
};
static void arrayTrackDtor(void *p)
{
struct arrayTrack *at = (struct arrayTrack *)p;
delete at->s.shape;
delete at->s.strides;
if (at->s.descr)
Py_DECREF(at->s.descr);
Py_DECREF(at->o);
}
// Fill in fields of PyArrayInterface s using mtype. This code is common
// to cvmat and cvmatnd
static void arrayinterface_common(PyArrayInterface *s, int mtype)
{
s->two = 2;
switch (CV_MAT_DEPTH(mtype)) {
case CV_8U:
s->typekind = 'u';
s->itemsize = 1;
break;
case CV_8S:
s->typekind = 'i';
s->itemsize = 1;
break;
case CV_16U:
s->typekind = 'u';
s->itemsize = 2;
break;
case CV_16S:
s->typekind = 'i';
s->itemsize = 2;
break;
case CV_32S:
s->typekind = 'i';
s->itemsize = 4;
break;
case CV_32F:
s->typekind = 'f';
s->itemsize = 4;
break;
case CV_64F:
s->typekind = 'f';
s->itemsize = 8;
break;
default:
assert(0);
}
s->flags = NPY_WRITEABLE | NPY_NOTSWAPPED;
}
static PyObject *cvmat_array_struct(cvmat_t *cva)
{
CvMat *m;
convert_to_CvMat((PyObject *)cva, &m, "");
arrayTrack *at = new arrayTrack;
PyArrayInterface *s = &at->s;
at->o = cva->data;
Py_INCREF(at->o);
arrayinterface_common(s, m->type);
if (CV_MAT_CN(m->type) == 1) {
s->nd = 2;
s->shape = new npy_intp[2];
s->shape[0] = m->rows;
s->shape[1] = m->cols;
s->strides = new npy_intp[2];
s->strides[0] = m->step;
s->strides[1] = s->itemsize;
} else {
s->nd = 3;
s->shape = new npy_intp[3];
s->shape[0] = m->rows;
s->shape[1] = m->cols;
s->shape[2] = CV_MAT_CN(m->type);
s->strides = new npy_intp[3];
s->strides[0] = m->step;
s->strides[1] = s->itemsize * CV_MAT_CN(m->type);
s->strides[2] = s->itemsize;
}
s->data = (void*)(m->data.ptr);
s->descr = PyList_New(1);
char typestr[10];
sprintf(typestr, "<%c%d", s->typekind, s->itemsize);
PyList_SetItem(s->descr, 0, Py_BuildValue("(ss)", "x", typestr));
return PyCObject_FromVoidPtr(s, arrayTrackDtor);
}
static PyObject *cvmatnd_array_struct(cvmatnd_t *cva)
{
CvMatND *m;
convert_to_CvMatND((PyObject *)cva, &m, "");
arrayTrack *at = new arrayTrack;
PyArrayInterface *s = &at->s;
at->o = cva->data;
Py_INCREF(at->o);
arrayinterface_common(s, m->type);
int i;
if (CV_MAT_CN(m->type) == 1) {
s->nd = m->dims;
s->shape = new npy_intp[s->nd];
for (i = 0; i < s->nd; i++)
s->shape[i] = m->dim[i].size;
s->strides = new npy_intp[s->nd];
for (i = 0; i < (s->nd - 1); i++)
s->strides[i] = m->dim[i].step;
s->strides[s->nd - 1] = s->itemsize;
} else {
s->nd = m->dims + 1;
s->shape = new npy_intp[s->nd];
for (i = 0; i < (s->nd - 1); i++)
s->shape[i] = m->dim[i].size;
s->shape[s->nd - 1] = CV_MAT_CN(m->type);
s->strides = new npy_intp[s->nd];
for (i = 0; i < (s->nd - 2); i++)
s->strides[i] = m->dim[i].step;
s->strides[s->nd - 2] = s->itemsize * CV_MAT_CN(m->type);
s->strides[s->nd - 1] = s->itemsize;
}
s->data = (void*)(m->data.ptr);
s->descr = PyList_New(1);
char typestr[10];
sprintf(typestr, "<%c%d", s->typekind, s->itemsize);
PyList_SetItem(s->descr, 0, Py_BuildValue("(ss)", "x", typestr));
return PyCObject_FromVoidPtr(s, arrayTrackDtor);
}
#endif
static PyGetSetDef cvmat_getseters[] = {
{(char*)"type", (getter)cvmat_gettype, (setter)NULL, (char*)"type", NULL},
{(char*)"step", (getter)cvmat_getstep, (setter)NULL, (char*)"step", NULL},
{(char*)"rows", (getter)cvmat_getrows, (setter)NULL, (char*)"rows", NULL},
{(char*)"cols", (getter)cvmat_getcols, (setter)NULL, (char*)"cols", NULL},
{(char*)"channels",(getter)cvmat_getchannels, (setter)NULL, (char*)"channels", NULL},
{(char*)"width", (getter)cvmat_getcols, (setter)NULL, (char*)"width", NULL},
{(char*)"height", (getter)cvmat_getrows, (setter)NULL, (char*)"height", NULL},
#if PYTHON_USE_NUMPY
{(char*)"__array_struct__", (getter)cvmat_array_struct, (setter)NULL, (char*)"__array_struct__", NULL},
#endif
{NULL} /* Sentinel */
};
static PyMappingMethods cvmat_as_map = {
NULL,
&cvarr_GetItem,
&cvarr_SetItem,
};
static PyTypeObject cvmat_Type = {
PyObject_HEAD_INIT(&PyType_Type)
0, /*size*/
MODULESTR".cvmat", /*name*/
sizeof(cvmat_t), /*basicsize*/
};
static int illegal_init(PyObject *self, PyObject *args, PyObject *kwds)
{
PyErr_SetString(opencv_error, "Cannot create cvmat directly; use CreateMat() instead");
return -1;
}
static void cvmat_specials(void)
{
cvmat_Type.tp_dealloc = cvmat_dealloc;
cvmat_Type.tp_as_mapping = &cvmat_as_map;
cvmat_Type.tp_repr = cvmat_repr;
cvmat_Type.tp_methods = cvmat_methods;
cvmat_Type.tp_getset = cvmat_getseters;
cvmat_Type.tp_init = illegal_init;
}
static int is_cvmat(PyObject *o)
{
return PyType_IsSubtype(o->ob_type, &cvmat_Type);
}
/************************************************************************/
/* cvmatnd */
static void cvmatnd_dealloc(PyObject *self)
{
cvmatnd_t *pc = (cvmatnd_t*)self;
Py_DECREF(pc->data);
PyObject_Del(self);
}
static PyObject *cvmatnd_repr(PyObject *self)
{
CvMatND *m = ((cvmatnd_t*)self)->a;
char str[1000];
sprintf(str, "<cvmatnd(");
char *d = str + strlen(str);
sprintf(d, "type=%08x ", m->type);
d += strlen(d);
sprintf(d, ")>");
return PyString_FromString(str);
}
static size_t cvmatnd_size(CvMatND *m)
{
int bps = 1;
switch (CV_MAT_DEPTH(m->type)) {
case CV_8U:
case CV_8S:
bps = CV_MAT_CN(m->type) * 1;
break;
case CV_16U:
case CV_16S:
bps = CV_MAT_CN(m->type) * 2;
break;
case CV_32S:
case CV_32F:
bps = CV_MAT_CN(m->type) * 4;
break;
case CV_64F:
bps = CV_MAT_CN(m->type) * 8;
break;
default:
assert(0);
}
size_t l = bps;
for (int d = 0; d < m->dims; d++) {
l *= m->dim[d].size;
}
return l;
}
static PyObject *cvmatnd_tostring(PyObject *self, PyObject *args)
{
CvMatND *m;
if (!convert_to_CvMatND(self, &m, "self"))
return NULL;
int bps;
switch (CV_MAT_DEPTH(m->type)) {
case CV_8U:
case CV_8S:
bps = CV_MAT_CN(m->type) * 1;
break;
case CV_16U:
case CV_16S:
bps = CV_MAT_CN(m->type) * 2;
break;
case CV_32S:
case CV_32F:
bps = CV_MAT_CN(m->type) * 4;
break;
case CV_64F:
bps = CV_MAT_CN(m->type) * 8;
break;
default:
return (PyObject*)failmsg("Unrecognised depth %d", CV_MAT_DEPTH(m->type));
}
int l = bps;
for (int d = 0; d < m->dims; d++) {
l *= m->dim[d].size;
}
int i[CV_MAX_DIM];
int d;
for (d = 0; d < m->dims; d++) {
i[d] = 0;
}
int rowsize = m->dim[m->dims-1].size * bps;
char *s = new char[l];
char *ps = s;
int finished = 0;
while (!finished) {
memcpy(ps, cvPtrND(m, i), rowsize);
ps += rowsize;
for (d = m->dims - 2; 0 <= d; d--) {
if (++i[d] < cvGetDimSize(m, d)) {
break;
} else {
i[d] = 0;
}
}
if (d < 0)
finished = 1;
}
return PyString_FromStringAndSize(s, ps - s);
}
static struct PyMethodDef cvmatnd_methods[] =
{
{"tostring", cvmatnd_tostring, METH_VARARGS},
{NULL, NULL}
};
static PyObject *cvmatnd_getchannels(cvmatnd_t *cva)
{
return PyInt_FromLong(CV_MAT_CN(cva->a->type));
}
static PyGetSetDef cvmatnd_getseters[] = {
#if PYTHON_USE_NUMPY
{(char*)"__array_struct__", (getter)cvmatnd_array_struct, (setter)NULL, (char*)"__array_struct__", NULL},
#endif
{(char*)"channels",(getter)cvmatnd_getchannels, (setter)NULL, (char*)"channels", NULL},
{NULL} /* Sentinel */
};
static PyMappingMethods cvmatnd_as_map = {
NULL,
&cvarr_GetItem,
&cvarr_SetItem,
};
static PyTypeObject cvmatnd_Type = {
PyObject_HEAD_INIT(&PyType_Type)
0, /*size*/
MODULESTR".cvmatnd", /*name*/
sizeof(cvmatnd_t), /*basicsize*/
};
static void cvmatnd_specials(void)
{
cvmatnd_Type.tp_dealloc = cvmatnd_dealloc;
cvmatnd_Type.tp_as_mapping = &cvmatnd_as_map;
cvmatnd_Type.tp_repr = cvmatnd_repr;
cvmatnd_Type.tp_methods = cvmatnd_methods;
cvmatnd_Type.tp_getset = cvmatnd_getseters;
}
static int is_cvmatnd(PyObject *o)
{
return PyType_IsSubtype(o->ob_type, &cvmatnd_Type);
}
/************************************************************************/
/* cvhistogram */
static void cvhistogram_dealloc(PyObject *self)
{
cvhistogram_t *cvh = (cvhistogram_t*)self;
Py_DECREF(cvh->bins);
PyObject_Del(self);
}
static PyTypeObject cvhistogram_Type = {
PyObject_HEAD_INIT(&PyType_Type)
0, /*size*/
MODULESTR".cvhistogram", /*name*/
sizeof(cvhistogram_t), /*basicsize*/
};
static PyObject *cvhistogram_getbins(cvhistogram_t *cvh)
{
Py_INCREF(cvh->bins);
return cvh->bins;
}
static PyGetSetDef cvhistogram_getseters[] = {
{(char*)"bins", (getter)cvhistogram_getbins, (setter)NULL, (char*)"bins", NULL},
{NULL} /* Sentinel */
};
static void cvhistogram_specials(void)
{
cvhistogram_Type.tp_dealloc = cvhistogram_dealloc;
cvhistogram_Type.tp_getset = cvhistogram_getseters;
}
/************************************************************************/
/* cvlineiterator */
static PyObject *cvlineiterator_iter(PyObject *o)
{
Py_INCREF(o);
return o;
}
static PyObject *cvlineiterator_next(PyObject *o)
{
cvlineiterator_t *pi = (cvlineiterator_t*)o;
if (pi->count) {
pi->count--;
CvScalar r;
cvRawDataToScalar( (void*)(pi->iter.ptr), pi->type, &r);
PyObject *pr = PyObject_FromCvScalar(r, pi->type);
CV_NEXT_LINE_POINT(pi->iter);
return pr;
} else {
return NULL;
}
}
static PyTypeObject cvlineiterator_Type = {
PyObject_HEAD_INIT(&PyType_Type)
0, /*size*/
MODULESTR".cvlineiterator", /*name*/
sizeof(cvlineiterator_t), /*basicsize*/
};
static void cvlineiterator_specials(void)
{
cvlineiterator_Type.tp_iter = cvlineiterator_iter;
cvlineiterator_Type.tp_iternext = cvlineiterator_next;
}
/************************************************************************/
/* memtrack */
static void memtrack_dealloc(PyObject *self)
{
memtrack_t *pi = (memtrack_t*)self;
// printf("===> memtrack_dealloc %p!\n", pi->ptr);
cvFree(&pi->ptr);
PyObject_Del(self);
}
static PyTypeObject memtrack_Type = {
PyObject_HEAD_INIT(&PyType_Type)
0, /*size*/
MODULESTR".memtrack", /*name*/
sizeof(memtrack_t), /*basicsize*/
};
Py_ssize_t memtrack_getreadbuffer(PyObject *self, Py_ssize_t segment, void **ptrptr)
{
*ptrptr = &((memtrack_t*)self)->ptr;
return ((memtrack_t*)self)->size;
}
Py_ssize_t memtrack_getwritebuffer(PyObject *self, Py_ssize_t segment, void **ptrptr)
{
*ptrptr = ((memtrack_t*)self)->ptr;
return ((memtrack_t*)self)->size;
}
Py_ssize_t memtrack_getsegcount(PyObject *self, Py_ssize_t *lenp)
{
return (Py_ssize_t)1;
}
PyBufferProcs memtrack_as_buffer = {
memtrack_getreadbuffer,
memtrack_getwritebuffer,
memtrack_getsegcount
};
static void memtrack_specials(void)
{
memtrack_Type.tp_dealloc = memtrack_dealloc;
memtrack_Type.tp_as_buffer = &memtrack_as_buffer;
}
/************************************************************************/
/* cvmemstorage */
static void cvmemstorage_dealloc(PyObject *self)
{
cvmemstorage_t *ps = (cvmemstorage_t*)self;
cvReleaseMemStorage(&(ps->a));
PyObject_Del(self);
}
static PyTypeObject cvmemstorage_Type = {
PyObject_HEAD_INIT(&PyType_Type)
0, /*size*/
MODULESTR".cvmemstorage", /*name*/
sizeof(cvmemstorage_t), /*basicsize*/
};
static void cvmemstorage_specials(void)
{
cvmemstorage_Type.tp_dealloc = cvmemstorage_dealloc;
}
/************************************************************************/
/* cvfont */
static PyTypeObject cvfont_Type = {
PyObject_HEAD_INIT(&PyType_Type)
0, /*size*/
MODULESTR".cvfont", /*name*/
sizeof(cvfont_t), /*basicsize*/
};
static void cvfont_specials(void) { }
/************************************************************************/
/* cvrng */
static PyTypeObject cvrng_Type = {
PyObject_HEAD_INIT(&PyType_Type)
0, /*size*/
MODULESTR".cvrng", /*name*/
sizeof(cvrng_t), /*basicsize*/
};
static void cvrng_specials(void)
{
}
/************************************************************************/
/* cvcontourtree */
static PyTypeObject cvcontourtree_Type = {
PyObject_HEAD_INIT(&PyType_Type)
0, /*size*/
MODULESTR".cvcontourtree", /*name*/
sizeof(cvcontourtree_t), /*basicsize*/
};
static void cvcontourtree_specials(void) { }
/************************************************************************/
/* cvsubdiv2dedge */
static PyTypeObject cvsubdiv2dedge_Type = {
PyObject_HEAD_INIT(&PyType_Type)
0, /*size*/
MODULESTR".cvsubdiv2dedge", /*name*/
sizeof(cvsubdiv2dedge_t), /*basicsize*/
};
static int cvsubdiv2dedge_compare(PyObject *o1, PyObject *o2)
{
cvsubdiv2dedge_t *e1 = (cvsubdiv2dedge_t*)o1;
cvsubdiv2dedge_t *e2 = (cvsubdiv2dedge_t*)o2;
if (e1->a < e2->a)
return -1;
else if (e1->a > e2->a)
return 1;
else
return 0;
}
static PyObject *cvquadedge_repr(PyObject *self)
{
CvSubdiv2DEdge m = ((cvsubdiv2dedge_t*)self)->a;
char str[1000];
sprintf(str, "<cvsubdiv2dedge(");
char *d = str + strlen(str);
sprintf(d, "%zx.%d", m & ~3, (int)(m & 3));
d += strlen(d);
sprintf(d, ")>");
return PyString_FromString(str);
}
static void cvsubdiv2dedge_specials(void) {
cvsubdiv2dedge_Type.tp_compare = cvsubdiv2dedge_compare;
cvsubdiv2dedge_Type.tp_repr = cvquadedge_repr;
}
/************************************************************************/
/* cvseq */
static void cvseq_dealloc(PyObject *self)
{
cvseq_t *ps = (cvseq_t*)self;
Py_DECREF(ps->container);
PyObject_Del(self);
}
static PyObject *cvseq_h_next(PyObject *self, PyObject *args);
static PyObject *cvseq_h_prev(PyObject *self, PyObject *args);
static PyObject *cvseq_v_next(PyObject *self, PyObject *args);
static PyObject *cvseq_v_prev(PyObject *self, PyObject *args);
static struct PyMethodDef cvseq_methods[] =
{
{"h_next", cvseq_h_next, METH_VARARGS},
{"h_prev", cvseq_h_prev, METH_VARARGS},
{"v_next", cvseq_v_next, METH_VARARGS},
{"v_prev", cvseq_v_prev, METH_VARARGS},
{NULL, NULL}
};
static Py_ssize_t cvseq_seq_length(PyObject *o)
{
cvseq_t *ps = (cvseq_t*)o;
if (ps->a == NULL)
return (Py_ssize_t)0;
else
return (Py_ssize_t)(ps->a->total);
}
static PyObject* cvseq_seq_getitem(PyObject *o, Py_ssize_t i)
{
cvseq_t *ps = (cvseq_t*)o;
CvPoint *pt;
struct pointpair{
CvPoint a, b;
} *pp;
CvPoint2D32f *pt2;
CvPoint3D32f *pt3;
if (i < cvseq_seq_length(o)) {
switch (CV_SEQ_ELTYPE(ps->a)) {
case CV_SEQ_ELTYPE_POINT:
pt = CV_GET_SEQ_ELEM(CvPoint, ps->a, i);
return Py_BuildValue("ii", pt->x, pt->y);
case CV_SEQ_ELTYPE_GENERIC:
switch (ps->a->elem_size) {
case sizeof(CvQuadEdge2D):
{
cvsubdiv2dedge_t *r = PyObject_NEW(cvsubdiv2dedge_t, &cvsubdiv2dedge_Type);
r->a = (CvSubdiv2DEdge)CV_GET_SEQ_ELEM(CvQuadEdge2D, ps->a, i);
r->container = ps->container;
Py_INCREF(r->container);
return (PyObject*)r;
}
case sizeof(CvConnectedComp):
{
CvConnectedComp *cc = CV_GET_SEQ_ELEM(CvConnectedComp, ps->a, i);
return FROM_CvConnectedComp(*cc);
}
default:
printf("seq elem size is %d\n", ps->a->elem_size);
printf("KIND %d\n", CV_SEQ_KIND(ps->a));
assert(0);
}
return PyInt_FromLong(*CV_GET_SEQ_ELEM(unsigned char, ps->a, i));
case CV_SEQ_ELTYPE_PTR:
case CV_SEQ_ELTYPE_INDEX:
return PyInt_FromLong(*CV_GET_SEQ_ELEM(int, ps->a, i));
case CV_32SC4:
pp = CV_GET_SEQ_ELEM(pointpair, ps->a, i);
return Py_BuildValue("(ii),(ii)", pp->a.x, pp->a.y, pp->b.x, pp->b.y);
case CV_32FC2:
pt2 = CV_GET_SEQ_ELEM(CvPoint2D32f, ps->a, i);
return Py_BuildValue("ff", pt2->x, pt2->y);
case CV_SEQ_ELTYPE_POINT3D:
pt3 = CV_GET_SEQ_ELEM(CvPoint3D32f, ps->a, i);
return Py_BuildValue("fff", pt3->x, pt3->y, pt3->z);
default:
printf("Unknown element type %08x\n", CV_SEQ_ELTYPE(ps->a));
assert(0);
return NULL;
}
} else
return NULL;
}
static PyObject* cvseq_map_getitem(PyObject *o, PyObject *item)
{
if (PyInt_Check(item)) {
long i = PyInt_AS_LONG(item);
if (i < 0)
i += cvseq_seq_length(o);
return cvseq_seq_getitem(o, i);
} else if (PySlice_Check(item)) {
Py_ssize_t start, stop, step, slicelength, cur, i;
PyObject* result;
if (PySlice_GetIndicesEx((PySliceObject*)item, cvseq_seq_length(o),
&start, &stop, &step, &slicelength) < 0) {
return NULL;
}
if (slicelength <= 0) {
return PyList_New(0);
} else {
result = PyList_New(slicelength);
if (!result) return NULL;
for (cur = start, i = 0; i < slicelength;
cur += step, i++) {
PyList_SET_ITEM(result, i, cvseq_seq_getitem(o, cur));
}
return result;
}
} else {
PyErr_SetString(PyExc_TypeError, "CvSeq indices must be integers");
return NULL;
}
}
static
PySequenceMethods cvseq_sequence = {
cvseq_seq_length,
NULL,
NULL,
cvseq_seq_getitem
};
static PyMappingMethods cvseq_mapping = {
cvseq_seq_length,
cvseq_map_getitem,
NULL,
};
static PyTypeObject cvseq_Type = {
PyObject_HEAD_INIT(&PyType_Type)
0, /*size*/
MODULESTR".cvseq", /*name*/
sizeof(cvseq_t), /*basicsize*/
};
static void cvseq_specials(void)
{
cvseq_Type.tp_dealloc = cvseq_dealloc;
cvseq_Type.tp_as_sequence = &cvseq_sequence;
cvseq_Type.tp_as_mapping = &cvseq_mapping;
cvseq_Type.tp_methods = cvseq_methods;
}
#define MK_ACCESSOR(FIELD) \
static PyObject *cvseq_##FIELD(PyObject *self, PyObject *args) \
{ \
cvseq_t *ps = (cvseq_t*)self; \
CvSeq *s = ps->a; \
if (s->FIELD == NULL) { \
Py_RETURN_NONE; \
} else { \
cvseq_t *r = PyObject_NEW(cvseq_t, &cvseq_Type); \
r->a = s->FIELD; \
r->container = ps->container; \
Py_INCREF(r->container); \
return (PyObject*)r; \
} \
}
MK_ACCESSOR(h_next)
MK_ACCESSOR(h_prev)
MK_ACCESSOR(v_next)
MK_ACCESSOR(v_prev)
#undef MK_ACCESSOR
/************************************************************************/
/* cvset */
static void cvset_dealloc(PyObject *self)
{
cvset_t *ps = (cvset_t*)self;
Py_DECREF(ps->container);
PyObject_Del(self);
}
static PyTypeObject cvset_Type = {
PyObject_HEAD_INIT(&PyType_Type)
0, /*size*/
MODULESTR".cvset", /*name*/
sizeof(cvset_t), /*basicsize*/
};
static PyObject *cvset_iter(PyObject *o)
{
Py_INCREF(o);
cvset_t *ps = (cvset_t*)o;
ps->i = 0;
return o;
}
static PyObject *cvset_next(PyObject *o)
{
cvset_t *ps = (cvset_t*)o;
while (ps->i < ps->a->total) {
CvSetElem *e = cvGetSetElem(ps->a, ps->i);
int prev_i = ps->i++;
if (e != NULL) {
return cvseq_seq_getitem(o, prev_i);
}
}
return NULL;
}
static void cvset_specials(void)
{
cvset_Type.tp_dealloc = cvset_dealloc;
cvset_Type.tp_iter = cvset_iter;
cvset_Type.tp_iternext = cvset_next;
}
/************************************************************************/
/* cvsubdiv2d */
static PyTypeObject cvsubdiv2d_Type = {
PyObject_HEAD_INIT(&PyType_Type)
0, /*size*/
MODULESTR".cvsubdiv2d", /*name*/
sizeof(cvsubdiv2d_t), /*basicsize*/
};
static PyObject *cvsubdiv2d_getattro(PyObject *o, PyObject *name)
{
cvsubdiv2d_t *p = (cvsubdiv2d_t*)o;
if (strcmp(PyString_AsString(name), "edges") == 0) {
cvset_t *r = PyObject_NEW(cvset_t, &cvset_Type);
r->a = p->a->edges;
r->container = p->container;
Py_INCREF(r->container);
return (PyObject*)r;
} else {
PyErr_SetString(PyExc_TypeError, "cvsubdiv2d has no such attribute");
return NULL;
}
}
static void cvsubdiv2d_specials(void)
{
cvsubdiv2d_Type.tp_getattro = cvsubdiv2d_getattro;
}
/************************************************************************/
/* cvsubdiv2dpoint */
static PyTypeObject cvsubdiv2dpoint_Type = {
PyObject_HEAD_INIT(&PyType_Type)
0, /*size*/
MODULESTR".cvsubdiv2dpoint", /*name*/
sizeof(cvsubdiv2dpoint_t), /*basicsize*/
};
static PyObject *cvsubdiv2dpoint_getattro(PyObject *o, PyObject *name)
{
cvsubdiv2dpoint_t *p = (cvsubdiv2dpoint_t*)o;
if (strcmp(PyString_AsString(name), "first") == 0) {
cvsubdiv2dedge_t *r = PyObject_NEW(cvsubdiv2dedge_t, &cvsubdiv2dedge_Type);
r->a = p->a->first;
r->container = p->container;
Py_INCREF(r->container);
return (PyObject*)r;
} else if (strcmp(PyString_AsString(name), "pt") == 0) {
return Py_BuildValue("(ff)", p->a->pt.x, p->a->pt.y);
} else {
PyErr_SetString(PyExc_TypeError, "cvsubdiv2dpoint has no such attribute");
return NULL;
}
}
static void cvsubdiv2dpoint_specials(void)
{
cvsubdiv2dpoint_Type.tp_getattro = cvsubdiv2dpoint_getattro;
}
/************************************************************************/
/* convert_to_X: used after PyArg_ParseTuple in the generated code */
static int convert_to_PyObjectPTR(PyObject *o, PyObject **dst, const char *name = "no_name")
{
*dst = o;
return 1;
}
static int convert_to_PyCallableObjectPTR(PyObject *o, PyObject **dst, const char *name = "no_name")
{
*dst = o;
return 1;
}
static int convert_to_char(PyObject *o, char *dst, const char *name = "no_name")
{
if (PyString_Check(o) && PyString_Size(o) == 1) {
*dst = PyString_AsString(o)[0];
return 1;
} else {
(*dst) = 0;
return failmsg("Expected single character string for argument '%s'", name);
}
}
static int convert_to_CvMemStorage(PyObject *o, CvMemStorage **dst, const char *name = "no_name")
{
if (PyType_IsSubtype(o->ob_type, &cvmemstorage_Type)) {
(*dst) = (((cvmemstorage_t*)o)->a);
return 1;
} else {
(*dst) = (CvMemStorage*)NULL;
return failmsg("Expected CvMemStorage for argument '%s'", name);
}
}
static int convert_to_CvSeq(PyObject *o, CvSeq **dst, const char *name = "no_name")
{
if (PyType_IsSubtype(o->ob_type, &cvseq_Type)) {
(*dst) = (((cvseq_t*)o)->a);
return 1;
} else {
(*dst) = (CvSeq*)NULL;
return failmsg("Expected CvSeq for argument '%s'", name);
}
}
static int convert_to_CvSize(PyObject *o, CvSize *dst, const char *name = "no_name")
{
if (!PyArg_ParseTuple(o, "ii", &dst->width, &dst->height))
return failmsg("CvSize argument '%s' expects two integers", name);
else
return 1;
}
static int convert_to_CvScalar(PyObject *o, CvScalar *s, const char *name = "no_name")
{
if (PySequence_Check(o)) {
PyObject *fi = PySequence_Fast(o, name);
if (fi == NULL)
return 0;
if (4 < PySequence_Fast_GET_SIZE(fi))
return failmsg("CvScalar value for argument '%s' is longer than 4", name);
for (Py_ssize_t i = 0; i < PySequence_Fast_GET_SIZE(fi); i++) {
PyObject *item = PySequence_Fast_GET_ITEM(fi, i);
if (PyFloat_Check(item) || PyInt_Check(item)) {
s->val[i] = PyFloat_AsDouble(item);
} else {
return failmsg("CvScalar value for argument '%s' is not numeric", name);
}
}
Py_DECREF(fi);
} else {
if (PyFloat_Check(o) || PyInt_Check(o)) {
s->val[0] = PyFloat_AsDouble(o);
} else {
return failmsg("CvScalar value for argument '%s' is not numeric", name);
}
}
return 1;
}
static int convert_to_CvPointPTR(PyObject *o, CvPoint **p, const char *name = "no_name")
{
if (!PySequence_Check(o))
return failmsg("Expected sequence for point list argument '%s'", name);
PyObject *fi = PySequence_Fast(o, name);
if (fi == NULL)
return 0;
*p = new CvPoint[PySequence_Fast_GET_SIZE(fi)];
for (Py_ssize_t i = 0; i < PySequence_Fast_GET_SIZE(fi); i++) {
PyObject *item = PySequence_Fast_GET_ITEM(fi, i);
if (!PyTuple_Check(item))
return failmsg("Expected tuple for element in point list argument '%s'", name);
if (!PyArg_ParseTuple(item, "ii", &((*p)[i].x), &((*p)[i].y))) {
return 0;
}
}
Py_DECREF(fi);
return 1;
}
static int convert_to_CvPoint2D32fPTR(PyObject *o, CvPoint2D32f **p, const char *name = "no_name")
{
PyObject *fi = PySequence_Fast(o, name);
if (fi == NULL)
return 0;
*p = new CvPoint2D32f[PySequence_Fast_GET_SIZE(fi)];
for (Py_ssize_t i = 0; i < PySequence_Fast_GET_SIZE(fi); i++) {
PyObject *item = PySequence_Fast_GET_ITEM(fi, i);
if (!PyTuple_Check(item))
return failmsg("Expected tuple for CvPoint2D32f argument '%s'", name);
if (!PyArg_ParseTuple(item, "ff", &((*p)[i].x), &((*p)[i].y))) {
return 0;
}
}
Py_DECREF(fi);
return 1;
}
#if 0 // not used
static int convert_to_CvPoint3D32fPTR(PyObject *o, CvPoint3D32f **p, const char *name = "no_name")
{
PyObject *fi = PySequence_Fast(o, name);
if (fi == NULL)
return 0;
*p = new CvPoint3D32f[PySequence_Fast_GET_SIZE(fi)];
for (Py_ssize_t i = 0; i < PySequence_Fast_GET_SIZE(fi); i++) {
PyObject *item = PySequence_Fast_GET_ITEM(fi, i);
if (!PyTuple_Check(item))
return failmsg("Expected tuple for CvPoint3D32f argument '%s'", name);
if (!PyArg_ParseTuple(item, "fff", &((*p)[i].x), &((*p)[i].y), &((*p)[i].z))) {
return 0;
}
}
Py_DECREF(fi);
return 1;
}
#endif
static int convert_to_CvStarDetectorParams(PyObject *o, CvStarDetectorParams *dst, const char *name = "no_name")
{
if (!PyArg_ParseTuple(o,
"iiiii",
&dst->maxSize,
&dst->responseThreshold,
&dst->lineThresholdProjected,
&dst->lineThresholdBinarized,
&dst->suppressNonmaxSize))
return failmsg("CvRect argument '%s' expects four integers", name);
else
return 1;
}
static int convert_to_CvRect(PyObject *o, CvRect *dst, const char *name = "no_name")
{
if (!PyArg_ParseTuple(o, "iiii", &dst->x, &dst->y, &dst->width, &dst->height))
return failmsg("CvRect argument '%s' expects four integers", name);
else
return 1;
}
static int convert_to_CvRectPTR(PyObject *o, CvRect **dst, const char *name = "no_name")
{
*dst = new CvRect;
if (!PyArg_ParseTuple(o, "iiii", &(*dst)->x, &(*dst)->y, &(*dst)->width, &(*dst)->height))
return failmsg("CvRect argument '%s' expects four integers", name);
else
return 1;
}
static int convert_to_CvSlice(PyObject *o, CvSlice *dst, const char *name = "no_name")
{
if (!PyArg_ParseTuple(o, "ii", &dst->start_index, &dst->end_index))
return failmsg("CvSlice argument '%s' expects two integers", name);
else
return 1;
}
static int convert_to_CvPoint(PyObject *o, CvPoint *dst, const char *name = "no_name")
{
if (!PyArg_ParseTuple(o, "ii", &dst->x, &dst->y))
return failmsg("CvPoint argument '%s' expects two integers", name);
else
return 1;
}
static int convert_to_CvPoint2D32f(PyObject *o, CvPoint2D32f *dst, const char *name = "no_name")
{
if (!PyArg_ParseTuple(o, "ff", &dst->x, &dst->y))
return failmsg("CvPoint2D32f argument '%s' expects two floats", name);
else
return 1;
}
static int convert_to_CvPoint3D32f(PyObject *o, CvPoint3D32f *dst, const char *name = "no_name")
{
if (!PyArg_ParseTuple(o, "fff", &dst->x, &dst->y, &dst->z))
return failmsg("CvPoint3D32f argument '%s' expects three floats", name);
else
return 1;
}
static int convert_to_IplImage(PyObject *o, IplImage **dst, const char *name)
{
iplimage_t *ipl = (iplimage_t*)o;
void *buffer;
Py_ssize_t buffer_len;
if (!is_iplimage(o)) {
return failmsg("Argument '%s' must be IplImage", name);
} else if (PyString_Check(ipl->data)) {
cvSetData(ipl->a, PyString_AsString(ipl->data) + ipl->offset, ipl->a->widthStep);
assert(cvGetErrStatus() == 0);
*dst = ipl->a;
return 1;
} else if (ipl->data && PyObject_AsWriteBuffer(ipl->data, &buffer, &buffer_len) == 0) {
cvSetData(ipl->a, (void*)((char*)buffer + ipl->offset), ipl->a->widthStep);
assert(cvGetErrStatus() == 0);
*dst = ipl->a;
return 1;
} else {
return failmsg("IplImage argument '%s' has no data", name);
}
}
static int convert_to_CvMat(PyObject *o, CvMat **dst, const char *name)
{
cvmat_t *m = (cvmat_t*)o;
void *buffer;
Py_ssize_t buffer_len;
if (!is_cvmat(o)) {
#if !PYTHON_USE_NUMPY
return failmsg("Argument '%s' must be CvMat", name);
#else
PyObject *asmat = fromarray(o, 0);
if (asmat == NULL)
return failmsg("Argument '%s' must be CvMat", name);
// now have the array obect as a cvmat, can use regular conversion
return convert_to_CvMat(asmat, dst, name);
#endif
} else {
m->a->refcount = NULL;
if (m->data && PyString_Check(m->data)) {
assert(cvGetErrStatus() == 0);
char *ptr = PyString_AsString(m->data) + m->offset;
cvSetData(m->a, ptr, m->a->step);
assert(cvGetErrStatus() == 0);
*dst = m->a;
return 1;
} else if (m->data && PyObject_AsWriteBuffer(m->data, &buffer, &buffer_len) == 0) {
cvSetData(m->a, (void*)((char*)buffer + m->offset), m->a->step);
assert(cvGetErrStatus() == 0);
*dst = m->a;
return 1;
} else {
return failmsg("CvMat argument '%s' has no data", name);
}
}
}
static int convert_to_CvMatND(PyObject *o, CvMatND **dst, const char *name)
{
cvmatnd_t *m = (cvmatnd_t*)o;
void *buffer;
Py_ssize_t buffer_len;
if (!is_cvmatnd(o)) {
return failmsg("Argument '%s' must be CvMatND", name);
} else if (m->data && PyString_Check(m->data)) {
m->a->data.ptr = ((uchar*)PyString_AsString(m->data)) + m->offset;
*dst = m->a;
return 1;
} else if (m->data && PyObject_AsWriteBuffer(m->data, &buffer, &buffer_len) == 0) {
m->a->data.ptr = ((uchar*)buffer + m->offset);
*dst = m->a;
return 1;
} else {
return failmsg("CvMatND argument '%s' has no data", name);
}
}
static int convert_to_CvArr(PyObject *o, CvArr **dst, const char *name)
{
if (o == Py_None) {
*dst = (void*)NULL;
return 1;
} else if (is_iplimage(o)) {
return convert_to_IplImage(o, (IplImage**)dst, name);
} else if (is_cvmat(o)) {
return convert_to_CvMat(o, (CvMat**)dst, name);
} else if (is_cvmatnd(o)) {
return convert_to_CvMatND(o, (CvMatND**)dst, name);
} else {
#if !PYTHON_USE_NUMPY
return failmsg("CvArr argument '%s' must be IplImage, CvMat or CvMatND", name);
#else
PyObject *asmat = fromarray(o, 0);
if (asmat == NULL)
return failmsg("CvArr argument '%s' must be IplImage, CvMat, CvMatND, or support the array interface", name);
// now have the array obect as a cvmat, can use regular conversion
return convert_to_CvArr(asmat, dst, name);
#endif
}
}
static int convert_to_CvHistogram(PyObject *o, CvHistogram **dst, const char *name = "no_name")
{
if (PyType_IsSubtype(o->ob_type, &cvhistogram_Type)) {
cvhistogram_t *ht = (cvhistogram_t*)o;
*dst = &ht->h;
return convert_to_CvArr(ht->bins, &(ht->h.bins), "bins");
} else {
*dst = (CvHistogram *)NULL;
return failmsg("Expected CvHistogram for argument '%s'", name);
}
}
// Used by FillPoly, FillConvexPoly, PolyLine
struct pts_npts_contours {
CvPoint** pts;
int* npts;
int contours;
};
static int convert_to_pts_npts_contours(PyObject *o, pts_npts_contours *dst, const char *name = "no_name")
{
PyObject *fi = PySequence_Fast(o, name);
if (fi == NULL)
return 0;
dst->contours = PySequence_Fast_GET_SIZE(fi);
dst->pts = new CvPoint*[dst->contours];
dst->npts = new int[dst->contours];
for (Py_ssize_t i = 0; i < PySequence_Fast_GET_SIZE(fi); i++) {
if (!convert_to_CvPointPTR(PySequence_Fast_GET_ITEM(fi, i), &dst->pts[i], name))
return 0;
dst->npts[i] = PySequence_Size(PySequence_Fast_GET_ITEM(fi, i)); // safe because convert_ just succeeded
}
Py_DECREF(fi);
return 1;
}
struct cvarrseq {
union {
CvSeq *seq;
CvArr *mat;
};
};
static int convert_to_cvarrseq(PyObject *o, cvarrseq *dst, const char *name = "no_name")
{
if (PyType_IsSubtype(o->ob_type, &cvseq_Type)) {
return convert_to_CvSeq(o, &(dst->seq), name);
} else if (PySequence_Check(o)) {
PyObject *fi = PySequence_Fast(o, name);
if (fi == NULL)
return 0;
Py_ssize_t size = -1;
// Make a pass through the sequence, checking that each element is
// a sequence and that they are all the same size
for (Py_ssize_t i = 0; i < PySequence_Fast_GET_SIZE(fi); i++) {
PyObject *e = PySequence_Fast_GET_ITEM(fi, i);
if (!PySequence_Check(e))
return failmsg("Sequence '%s' must contain sequences", name);
if (i == 0)
size = (int)PySequence_Size(e);
else if (size != PySequence_Size(e))
return failmsg("All elements of sequence '%s' must be same size", name);
}
assert(size != -1);
CvMat *mt = cvCreateMat((int)PySequence_Fast_GET_SIZE(fi), 1, CV_32SC(size));
for (Py_ssize_t i = 0; i < PySequence_Fast_GET_SIZE(fi); i++) {
PyObject *e = PySequence_Fast_GET_ITEM(fi, i);
PyObject *fe = PySequence_Fast(e, name);
assert(fe != NULL);
int *pdst = (int*)cvPtr2D(mt, i, 0);
for (Py_ssize_t j = 0; j < size; j++) {
*pdst++ = PyInt_AsLong(PySequence_Fast_GET_ITEM(fe, j));
}
Py_DECREF(fe);
}
Py_DECREF(fi);
dst->mat = mt;
return 1;
} else {
return convert_to_CvArr(o, &(dst->mat), name);
}
}
struct cvarr_count {
CvArr **cvarr;
int count;
};
static int convert_to_cvarr_count(PyObject *o, cvarr_count *dst, const char *name = "no_name")
{
PyObject *fi = PySequence_Fast(o, name);
if (fi == NULL)
return 0;
dst->count = PySequence_Fast_GET_SIZE(fi);
dst->cvarr = new CvArr*[dst->count];
for (Py_ssize_t i = 0; i < PySequence_Fast_GET_SIZE(fi); i++) {
if (!convert_to_CvArr(PySequence_Fast_GET_ITEM(fi, i), &dst->cvarr[i], name))
return 0;
}
Py_DECREF(fi);
return 1;
}
struct intpair
{
int *pairs;
int count;
};
static int convert_to_intpair(PyObject *o, intpair *dst, const char *name = "no_name")
{
PyObject *fi = PySequence_Fast(o, name);
if (fi == NULL)
return 0;
dst->count = PySequence_Fast_GET_SIZE(fi);
dst->pairs = new int[2 * dst->count];
for (Py_ssize_t i = 0; i < PySequence_Fast_GET_SIZE(fi); i++) {
PyObject *item = PySequence_Fast_GET_ITEM(fi, i);
if (!PyArg_ParseTuple(item, "ii", &dst->pairs[2 * i], &dst->pairs[2 * i + 1])) {
return 0;
}
}
Py_DECREF(fi);
return 1;
}
struct cvpoint2d32f_count {
CvPoint2D32f* points;
int count;
};
static int convert_to_cvpoint2d32f_count(PyObject *o, cvpoint2d32f_count *dst, const char *name = "no_name")
{
if (PyInt_Check(o)) {
dst->count = PyInt_AsLong(o);
dst->points = new CvPoint2D32f[dst->count];
return 1;
} else {
return failmsg("Expected integer for CvPoint2D32f count");
}
}
struct floats {
float *f;
int count;
};
static int convert_to_floats(PyObject *o, floats *dst, const char *name = "no_name")
{
if (PySequence_Check(o)) {
PyObject *fi = PySequence_Fast(o, name);
if (fi == NULL)
return 0;
dst->count = PySequence_Fast_GET_SIZE(fi);
dst->f = new float[dst->count];
for (Py_ssize_t i = 0; i < PySequence_Fast_GET_SIZE(fi); i++) {
PyObject *item = PySequence_Fast_GET_ITEM(fi, i);
dst->f[i] = (float)PyFloat_AsDouble(item);
}
Py_DECREF(fi);
} else if (PyNumber_Check(o)) {
dst->count = 1;
dst->f = new float[1];
dst->f[0] = PyFloat_AsDouble(o);
} else {
return failmsg("Expected list of floats, or float for argument '%s'", name);
}
return 1;
}
struct chars {
char *f;
int count;
};
/// convert_to_chars not used
struct CvPoints {
CvPoint *p;
int count;
};
static int convert_to_CvPoints(PyObject *o, CvPoints *dst, const char *name = "no_name")
{
PyObject *fi = PySequence_Fast(o, name);
if (fi == NULL)
return 0;
dst->count = PySequence_Fast_GET_SIZE(fi);
dst->p = new CvPoint[dst->count];
for (Py_ssize_t i = 0; i < PySequence_Fast_GET_SIZE(fi); i++) {
PyObject *item = PySequence_Fast_GET_ITEM(fi, i);
convert_to_CvPoint(item, &dst->p[i], name);
}
Py_DECREF(fi);
return 1;
}
struct CvPoint3D32fs {
CvPoint3D32f *p;
int count;
};
static int convert_to_CvPoint3D32fs(PyObject *o, CvPoint3D32fs *dst, const char *name = "no_name")
{
PyObject *fi = PySequence_Fast(o, name);
if (fi == NULL)
return 0;
dst->count = PySequence_Fast_GET_SIZE(fi);
dst->p = new CvPoint3D32f[dst->count];
for (Py_ssize_t i = 0; i < PySequence_Fast_GET_SIZE(fi); i++) {
PyObject *item = PySequence_Fast_GET_ITEM(fi, i);
convert_to_CvPoint3D32f(item, &dst->p[i], name);
}
Py_DECREF(fi);
return 1;
}
struct CvPoint2D32fs {
CvPoint2D32f *p;
int count;
};
static int convert_to_CvPoint2D32fs(PyObject *o, CvPoint2D32fs *dst, const char *name = "no_name")
{
PyObject *fi = PySequence_Fast(o, name);
if (fi == NULL)
return 0;
dst->count = PySequence_Fast_GET_SIZE(fi);
dst->p = new CvPoint2D32f[dst->count];
for (Py_ssize_t i = 0; i < PySequence_Fast_GET_SIZE(fi); i++) {
PyObject *item = PySequence_Fast_GET_ITEM(fi, i);
convert_to_CvPoint2D32f(item, &dst->p[i], name);
}
Py_DECREF(fi);
return 1;
}
struct ints {
int *i;
int count;
};
static int convert_to_ints(PyObject *o, ints *dst, const char *name = "no_name")
{
PyObject *fi = PySequence_Fast(o, name);
if (fi == NULL)
return 0;
dst->count = PySequence_Fast_GET_SIZE(fi);
dst->i = new int[dst->count];
for (Py_ssize_t i = 0; i < PySequence_Fast_GET_SIZE(fi); i++) {
PyObject *item = PySequence_Fast_GET_ITEM(fi, i);
dst->i[i] = PyInt_AsLong(item);
}
Py_DECREF(fi);
return 1;
}
struct ints0 {
int *i;
int count;
};
static int convert_to_ints0(PyObject *o, ints0 *dst, const char *name = "no_name")
{
PyObject *fi = PySequence_Fast(o, name);
if (fi == NULL)
return 0;
dst->count = PySequence_Fast_GET_SIZE(fi);
dst->i = new int[dst->count + 1];
for (Py_ssize_t i = 0; i < PySequence_Fast_GET_SIZE(fi); i++) {
PyObject *item = PySequence_Fast_GET_ITEM(fi, i);
dst->i[i] = PyInt_AsLong(item);
}
dst->i[dst->count] = 0;
Py_DECREF(fi);
return 1;
}
struct dims
{
int count;
int i[CV_MAX_DIM];
int step[CV_MAX_DIM];
int length[CV_MAX_DIM];
};
static int convert_to_dim(PyObject *item, int i, dims *dst, CvArr *cva, const char *name = "no_name")
{
if (PySlice_Check(item)) {
Py_ssize_t start, stop, step, slicelength;
PySlice_GetIndicesEx((PySliceObject*)item, cvGetDimSize(cva, i), &start, &stop, &step, &slicelength);
dst->i[i] = start;
dst->step[i] = step;
dst->length[i] = slicelength;
} else {
int index = PyInt_AsLong(item);
if (0 <= index)
dst->i[i] = index;
else
dst->i[i] = cvGetDimSize(cva, i) + index;
dst->step[i] = 0;
dst->length[i] = 1;
}
return 1;
}
static int convert_to_dims(PyObject *o, dims *dst, CvArr *cva, const char *name = "no_name")
{
if (!PyTuple_Check(o)) {
dst->count = 1;
return convert_to_dim(o, 0, dst, cva, name);
} else {
PyObject *fi = PySequence_Fast(o, name);
if (fi == NULL) {
PyErr_SetString(PyExc_TypeError, "Expected tuple for index");
return 0;
}
dst->count = PySequence_Fast_GET_SIZE(fi);
for (Py_ssize_t i = 0; i < PySequence_Fast_GET_SIZE(fi); i++) {
if (i >= cvGetDims(cva)) {
return failmsg("Access specifies %d dimensions, but array only has %d", PySequence_Fast_GET_SIZE(fi), cvGetDims(cva));
}
PyObject *item = PySequence_Fast_GET_ITEM(fi, i);
if (!convert_to_dim(item, i, dst, cva, name))
return 0;
}
Py_DECREF(fi);
return 1;
}
}
struct IplImages {
IplImage **ims;
int count;
};
static int convert_to_IplImages(PyObject *o, IplImages *dst, const char *name = "no_name")
{
PyObject *fi = PySequence_Fast(o, name);
if (fi == NULL)
return 0;
dst->count = PySequence_Fast_GET_SIZE(fi);
dst->ims = new IplImage*[dst->count];
for (Py_ssize_t i = 0; i < PySequence_Fast_GET_SIZE(fi); i++) {
PyObject *item = PySequence_Fast_GET_ITEM(fi, i);
if (!convert_to_IplImage(item, &dst->ims[i]))
return 0;
}
Py_DECREF(fi);
return 1;
}
struct CvArrs {
CvArr **ims;
int count;
};
static int convert_to_CvArrs(PyObject *o, CvArrs *dst, const char *name = "no_name")
{
PyObject *fi = PySequence_Fast(o, name);
if (fi == NULL)
return 0;
dst->count = PySequence_Fast_GET_SIZE(fi);
dst->ims = new CvArr*[dst->count];
for (Py_ssize_t i = 0; i < PySequence_Fast_GET_SIZE(fi); i++) {
PyObject *item = PySequence_Fast_GET_ITEM(fi, i);
if (!convert_to_CvArr(item, &dst->ims[i]))
return 0;
}
Py_DECREF(fi);
return 1;
}
static int convert_to_floatPTRPTR(PyObject *o, float*** dst, const char *name = "no_name")
{
PyObject *fi = PySequence_Fast(o, name);
if (fi == NULL)
return 0;
Py_ssize_t sz = PySequence_Fast_GET_SIZE(fi);
float **r = new float*[sz];
for (Py_ssize_t i = 0; i < PySequence_Fast_GET_SIZE(fi); i++) {
PyObject *item = PySequence_Fast_GET_ITEM(fi, i);
floats ff;
if (!convert_to_floats(item, &ff))
return 0;
r[i] = ff.f;
}
*dst = r;
return 1;
}
static int convert_to_CvFontPTR(PyObject *o, CvFont** dst, const char *name = "no_name")
{
if (PyType_IsSubtype(o->ob_type, &cvfont_Type)) {
(*dst) = &(((cvfont_t*)o)->a);
return 1;
} else {
(*dst) = (CvFont*)NULL;
return failmsg("Expected CvFont for argument '%s'", name);
}
}
static int convert_to_CvContourTreePTR(PyObject *o, CvContourTree** dst, const char *name = "no_name")
{
if (PyType_IsSubtype(o->ob_type, &cvcontourtree_Type)) {
(*dst) = ((cvcontourtree_t*)o)->a;
return 1;
} else {
(*dst) = NULL;
return failmsg("Expected CvContourTree for argument '%s'", name);
}
}
static int convert_to_CvRNGPTR(PyObject *o, CvRNG** dst, const char *name = "no_name")
{
if (PyType_IsSubtype(o->ob_type, &cvrng_Type)) {
(*dst) = &(((cvrng_t*)o)->a);
return 1;
} else {
(*dst) = (CvRNG*)NULL;
return failmsg("Expected CvRNG for argument '%s'", name);
}
}
typedef void* generic;
static int convert_to_generic(PyObject *o, generic *dst, const char *name = "no_name")
{
if (PyType_IsSubtype(o->ob_type, &iplimage_Type))
return convert_to_IplImage(o, (IplImage**)dst, name);
else if (PyType_IsSubtype(o->ob_type, &cvmat_Type))
return convert_to_CvMat(o, (CvMat**)dst, name);
else if (PyType_IsSubtype(o->ob_type, &cvmatnd_Type))
return convert_to_CvMatND(o, (CvMatND**)dst, name);
else {
return failmsg("Cannot identify type of '%s'", name);
}
}
static int convert_to_CvTermCriteria(PyObject *o, CvTermCriteria* dst, const char *name = "no_name")
{
if (!PyArg_ParseTuple(o, "iid", &dst->type, &dst->max_iter, &dst->epsilon))
return 0;
return 1;
}
static int convert_to_CvBox2D(PyObject *o, CvBox2D* dst, const char *name = "no_name")
{
if (!PyArg_ParseTuple(o, "(ff)(ff)f", &dst->center.x, &dst->center.y, &dst->size.width, &dst->size.height, &dst->angle))
return 0;
return 1;
}
static int convert_to_CvSubdiv2DPTR(PyObject *o, CvSubdiv2D** dst, const char *name = "no_name")
{
if (PyType_IsSubtype(o->ob_type, &cvsubdiv2d_Type)) {
(*dst) = (((cvsubdiv2d_t*)o)->a);
return 1;
} else {
(*dst) = (CvSubdiv2D*)NULL;
return failmsg("Expected CvSubdiv2D for argument '%s'", name);
}
}
static int convert_to_CvNextEdgeType(PyObject *o, CvNextEdgeType *dst, const char *name = "no_name")
{
if (!PyInt_Check(o)) {
*dst = (CvNextEdgeType)NULL;
return failmsg("Expected number for CvNextEdgeType argument '%s'", name);
} else {
*dst = (CvNextEdgeType)PyInt_AsLong(o);
return 1;
}
}
static int convert_to_CvSubdiv2DEdge(PyObject *o, CvSubdiv2DEdge *dst, const char *name = "no_name")
{
if (PyType_IsSubtype(o->ob_type, &cvsubdiv2dedge_Type)) {
(*dst) = (((cvsubdiv2dedge_t*)o)->a);
return 1;
} else {
*dst = 0L;
return failmsg("Expected CvSubdiv2DEdge for argument '%s'", name);
}
}
/************************************************************************/
static PyObject *pythonize_CvMat(cvmat_t *m)
{
// Need to make this CvMat look like any other, with a Python
// buffer object as its data.
CvMat *mat = m->a;
assert(mat->step != 0);
#if 0
PyObject *data = PyString_FromStringAndSize((char*)(mat->data.ptr), mat->rows * mat->step);
#else
memtrack_t *o = PyObject_NEW(memtrack_t, &memtrack_Type);
size_t gap = mat->data.ptr - (uchar*)mat->refcount;
o->ptr = mat->refcount;
o->size = gap + mat->rows * mat->step;
PyObject *data = PyBuffer_FromReadWriteObject((PyObject*)o, (size_t)gap, mat->rows * mat->step);
if (data == NULL)
return NULL;
#endif
m->data = data;
m->offset = 0;
Py_DECREF(o);
// Now m has a reference to data, which has a reference to o.
return (PyObject*)m;
}
static PyObject *pythonize_foreign_CvMat(cvmat_t *m)
{
// Need to make this CvMat look like any other, with a Python
// buffer object as its data.
// Difference here is that the buffer is 'foreign' (from NumPy, for example)
CvMat *mat = m->a;
assert(mat->step != 0);
#if 0
PyObject *data = PyString_FromStringAndSize((char*)(mat->data.ptr), mat->rows * mat->step);
#else
memtrack_t *o = PyObject_NEW(memtrack_t, &memtrack_Type);
o->ptr = mat->data.ptr;
o->size = mat->rows * mat->step;
PyObject *data = PyBuffer_FromReadWriteObject((PyObject*)o, (size_t)0, mat->rows * mat->step);
if (data == NULL)
return NULL;
Py_INCREF(o); // XXX - hack to prevent free of this foreign memory
#endif
m->data = data;
m->offset = 0;
Py_DECREF(o);
// Now m has a reference to data, which has a reference to o.
return (PyObject*)m;
}
static PyObject *pythonize_IplImage(iplimage_t *cva)
{
// Need to make this iplimage look like any other, with a Python
// string as its data.
// So copy the image data into a Python string object, then release
// it.
IplImage *ipl = (IplImage*)(cva->a);
// PyObject *data = PyString_FromStringAndSize(ipl->imageData, ipl->imageSize);
memtrack_t *o = PyObject_NEW(memtrack_t, &memtrack_Type);
assert(ipl->imageDataOrigin == ipl->imageData);
o->ptr = ipl->imageDataOrigin;
o->size = ipl->height * ipl->widthStep;
PyObject *data = PyBuffer_FromReadWriteObject((PyObject*)o, (size_t)0, o->size);
if (data == NULL)
return NULL;
Py_DECREF(o);
cva->data = data;
cva->offset = 0;
return (PyObject*)cva;
}
static PyObject *pythonize_CvMatND(cvmatnd_t *m)
{
//
// Need to make this CvMatND look like any other, with a Python
// string as its data.
// So copy the image data into a Python string object, then release
// it.
//
CvMatND *mat = m->a;
assert(mat->dim[0].step != 0);
#if 0
PyObject *data = PyString_FromStringAndSize((char*)(mat->data.ptr), mat->dim[0].size * mat->dim[0].step);
#else
memtrack_t *o = PyObject_NEW(memtrack_t, &memtrack_Type);
o->ptr = cvPtr1D(mat, 0);
o->size = cvmatnd_size(mat);
PyObject *data = PyBuffer_FromReadWriteObject((PyObject*)o, (size_t)0, o->size);
if (data == NULL)
return NULL;
#endif
m->data = data;
m->offset = 0;
// cvDecRefData(mat); // Ref count should be zero here, so this is a release
return (PyObject*)m;
}
/************************************************************************/
/* FROM_xxx: C -> Python converters.
*
* Turn various OpenCV types (and some aggregate types above)
* into Python objects. Used by the generated code.
*
* All these functions and macros return a new reference.
*/
static PyObject *_FROM_CvSeqPTR(CvSeq *s, PyObject *storage)
{
cvseq_t *ps = PyObject_NEW(cvseq_t, &cvseq_Type);
ps->a = s;
ps->container = storage;
Py_INCREF(ps->container);
return (PyObject*)ps;
}
static PyObject *_FROM_CvSubdiv2DPTR(CvSubdiv2D *s, PyObject *storage)
{
cvsubdiv2d_t *ps = PyObject_NEW(cvsubdiv2d_t, &cvsubdiv2d_Type);
ps->a = s;
ps->container = storage;
Py_INCREF(ps->container);
return (PyObject*)ps;
}
static PyObject *FROM_floats(floats r)
{
PyObject *pr;
pr = PyList_New(r.count);
for (Py_ssize_t i = 0; i < (Py_ssize_t)r.count; i++) {
PyList_SetItem(pr, i, PyFloat_FromDouble(r.f[i]));
}
return pr;
}
static PyObject *FROM_chars(chars r)
{
PyObject *pr;
pr = PyList_New(r.count);
for (Py_ssize_t i = 0; i < (Py_ssize_t)r.count; i++) {
PyList_SetItem(pr, i, PyInt_FromLong(r.f[i]));
}
return pr;
}
static PyObject *FROM_cvpoint2d32f_count(cvpoint2d32f_count r)
{
PyObject *pr;
pr = PyList_New(r.count);
for (Py_ssize_t i = 0; i < (Py_ssize_t)r.count; i++) {
PyList_SetItem(pr, i, FROM_CvPoint2D32f(r.points[i]));
}
return pr;
}
static PyObject *FROM_CvPoint2D32fs(CvPoint2D32fs r)
{
PyObject *pr;
pr = PyList_New(r.count);
for (Py_ssize_t i = 0; i < (Py_ssize_t)r.count; i++) {
PyList_SetItem(pr, i, FROM_CvPoint2D32f(r.p[i]));
}
return pr;
}
typedef CvSeq CvSeqOfCvConvexityDefect;
static PyObject *FROM_CvSeqOfCvConvexityDefectPTR(CvSeqOfCvConvexityDefect *r)
{
PyObject *pr;
pr = PyList_New(r->total);
for (int i = 0; i < r->total; i++) {
CvConvexityDefect *pd = CV_GET_SEQ_ELEM(CvConvexityDefect, r, i);
PyList_SetItem(pr, i, Py_BuildValue("(ii)(ii)(ii)f",
pd->start->x, pd->start->y,
pd->end->x, pd->end->y,
pd->depth_point->x, pd->depth_point->y,
pd->depth));
}
// This function has copied the CvSeq data into a list. Hence the
// CvSeq is not being returned to the caller. Hence, no reference
// count increase for the storage, unlike _FROM_CvSeqPTR.
return pr;
}
typedef CvSeq CvSeqOfCvAvgComp;
static PyObject *FROM_CvSeqOfCvAvgCompPTR(CvSeqOfCvAvgComp *r)
{
PyObject *pr;
pr = PyList_New(r->total);
for (int i = 0; i < r->total; i++) {
CvAvgComp *pd = CV_GET_SEQ_ELEM(CvAvgComp, r, i);
PyList_SetItem(pr, i, Py_BuildValue("(iiii)i",
pd->rect.x, pd->rect.y,
pd->rect.width, pd->rect.height,
pd->neighbors));
}
// This function has copied the CvSeq data into a list. Hence the
// CvSeq is not being returned to the caller. Hence, no reference
// count increase for the storage, unlike _FROM_CvSeqPTR.
return pr;
}
typedef CvSeq CvSeqOfCvStarKeypoint;
static PyObject *FROM_CvSeqOfCvStarKeypointPTR(CvSeqOfCvStarKeypoint *r)
{
PyObject *pr;
pr = PyList_New(r->total);
for (int i = 0; i < r->total; i++) {
CvStarKeypoint *pd = CV_GET_SEQ_ELEM(CvStarKeypoint, r, i);
PyList_SetItem(pr, i, Py_BuildValue("(ii)if",
pd->pt.x, pd->pt.y,
pd->size,
pd->response));
}
// This function has copied the CvSeq data into a list. Hence the
// CvSeq is not being returned to the caller. Hence, no reference
// count increase for the storage, unlike _FROM_CvSeqPTR.
return pr;
}
typedef CvSeq CvSeqOfCvSURFPoint;
static PyObject *FROM_CvSeqOfCvSURFPointPTR(CvSeqOfCvSURFPoint *r)
{
PyObject *pr;
pr = PyList_New(r->total);
for (int i = 0; i < r->total; i++) {
CvSURFPoint *pd = CV_GET_SEQ_ELEM(CvSURFPoint, r, i);
PyList_SetItem(pr, i, Py_BuildValue("(ff)iiff",
pd->pt.x, pd->pt.y,
pd->laplacian,
pd->size,
pd->dir,
pd->hessian));
}
// This function has copied the CvSeq data into a list. Hence the
// CvSeq is not being returned to the caller. Hence, no reference
// count increase for the storage, unlike _FROM_CvSeqPTR.
return pr;
}
typedef CvSeq CvSeqOfCvSURFDescriptor;
static PyObject *FROM_CvSeqOfCvSURFDescriptorPTR(CvSeqOfCvSURFDescriptor *r)
{
PyObject *pr;
pr = PyList_New(r->total);
for (int i = 0; i < r->total; i++) {
float *pd = (float*)cvGetSeqElem(r, i);
int count = r->elem_size / sizeof(float);
PyObject *oi = PyList_New(count);
for (int j = 0; j < count; j++) {
PyList_SetItem(oi, j, PyFloat_FromDouble(pd[j]));
}
PyList_SetItem(pr, i, oi);
}
// This function has copied the CvSeq data into a list. Hence the
// CvSeq is not being returned to the caller. Hence, no reference
// count increase for the storage, unlike _FROM_CvSeqPTR.
return pr;
}
typedef CvPoint2D32f CvPoint2D32f_4[4];
static PyObject *FROM_CvPoint2D32f_4(CvPoint2D32f* r)
{
return Py_BuildValue("(ff)(ff)(ff)(ff)",
r[0].x, r[0].y,
r[1].x, r[1].y,
r[2].x, r[2].y,
r[3].x, r[3].y);
}
typedef float CvMatr32f_i[9];
static PyObject *FROM_CvMatr32f_i(CvMatr32f_i r)
{
return Py_BuildValue("(fff)(fff)(fff)",
r[0], r[1], r[2],
r[3], r[4], r[5],
r[6], r[7], r[8]);
}
typedef float CvVect32f_i[3];
static PyObject *FROM_CvVect32f_i(CvVect32f_i r)
{
return Py_BuildValue("fff",
r[0], r[1], r[2]);
}
static PyObject *FROM_CvFont(CvFont r)
{
cvfont_t *cf = PyObject_NEW(cvfont_t, &cvfont_Type);
cf->a = r;
return (PyObject*)cf;
}
static PyObject *FROM_CvSubdiv2DPointPTR(CvSubdiv2DPoint* r)
{
if (r != NULL) {
cvsubdiv2dpoint_t *cf = PyObject_NEW(cvsubdiv2dpoint_t, &cvsubdiv2dpoint_Type);
cf->a = r;
return (PyObject*)cf;
} else {
Py_INCREF(Py_None);
return Py_None;
}
}
static PyObject *FROM_IplImagePTR(IplImage *r)
{
iplimage_t *cva = PyObject_NEW(iplimage_t, &iplimage_Type);
cva->a = r;
return pythonize_IplImage(cva);
}
static PyObject *FROM_ROIplImagePTR(ROIplImage *r)
{
if (r != NULL) {
iplimage_t *cva = PyObject_NEW(iplimage_t, &iplimage_Type);
cva->a = cvCreateImageHeader(cvSize(100,100), 8, 1);
*(cva->a) = *r;
cva->data = PyBuffer_FromReadWriteMemory(r->imageData, r->height * r->widthStep);
cva->offset = 0;
return (PyObject*)cva;
} else {
Py_RETURN_NONE;
}
}
static PyObject *FROM_ROCvMatPTR(ROCvMat *r)
{
if (r != NULL) {
cvmat_t *cva = PyObject_NEW(cvmat_t, &cvmat_Type);
cva->a = cvCreateMatHeader(100, 100, CV_8U);
*(cva->a) = *r;
cva->data = PyBuffer_FromReadWriteMemory(r->data.ptr, r->rows * r->step);
cva->offset = 0;
return (PyObject*)cva;
} else {
Py_RETURN_NONE;
}
}
static PyObject *FROM_CvMatPTR(CvMat *r)
{
cvmat_t *cvm = PyObject_NEW(cvmat_t, &cvmat_Type);
cvm->a = r;
return pythonize_CvMat(cvm);
}
static PyObject *FROM_CvMat(CvMat *r)
{
cvmat_t *m = PyObject_NEW(cvmat_t, &cvmat_Type);
m->a = r;
return pythonize_CvMat(m);
}
static PyObject *FROM_CvMatNDPTR(CvMatND *r)
{
cvmatnd_t *m = PyObject_NEW(cvmatnd_t, &cvmatnd_Type);
m->a = r;
return pythonize_CvMatND(m);
}
static PyObject *FROM_CvRNG(CvRNG r)
{
cvrng_t *m = PyObject_NEW(cvrng_t, &cvrng_Type);
m->a = r;
return (PyObject*)m;
}
static PyObject *FROM_CvContourTreePTR(CvContourTree *r)
{
cvcontourtree_t *m = PyObject_NEW(cvcontourtree_t, &cvcontourtree_Type);
m->a = r;
return (PyObject*)m;
}
static PyObject *FROM_generic(generic r)
{
CvTypeInfo* t = cvTypeOf(r);
if (r == NULL) {
failmsg("OpenCV returned NULL");
return NULL;
} if (strcmp(t->type_name, "opencv-image") == 0)
return FROM_IplImagePTR((IplImage*)r);
else if (strcmp(t->type_name, "opencv-matrix") == 0)
return FROM_CvMat((CvMat*)r);
else if (strcmp(t->type_name, "opencv-nd-matrix") == 0)
return FROM_CvMatNDPTR((CvMatND*)r);
else if (strcmp(t->type_name, "opencv-haar-classifier") == 0)
return FROM_CvHaarClassifierCascadePTR((CvHaarClassifierCascade*)r);
else {
failmsg("Unknown OpenCV type '%s'", t->type_name);
return NULL;
}
}
static PyObject *FROM_CvSubdiv2DEdge(CvSubdiv2DEdge r)
{
cvsubdiv2dedge_t *m = PyObject_NEW(cvsubdiv2dedge_t, &cvsubdiv2dedge_Type);
m->a = r;
m->container = Py_None; // XXX
Py_INCREF(m->container);
return (PyObject*)m;
}
static PyObject *FROM_CvPoints(CvPoints src)
{
PyObject *pr;
pr = PyList_New(src.count);
for (int i = 0; i < src.count; i++) {
PyList_SetItem(pr, i, FROM_CvPoint(src.p[i]));
}
return pr;
}
/************************************************************************/
/* A few functions are too odd to be generated,
* so are handwritten here */
static PyObject *pycvWaitKey(PyObject *self, PyObject *args, PyObject *kw)
{
int delay = 0;
const char *keywords[] = { "delay", NULL };
if (!PyArg_ParseTupleAndKeywords(args, kw, "|i", (char**)keywords, &delay))
return NULL;
int r;
Py_BEGIN_ALLOW_THREADS
r = cvWaitKey(delay);
Py_END_ALLOW_THREADS
return FROM_int(r);
}
static PyObject *pycvLoadImage(PyObject *self, PyObject *args, PyObject *kw)
{
const char *keywords[] = { "filename", "iscolor", NULL };
char *filename;
int iscolor = CV_LOAD_IMAGE_COLOR;
if (!PyArg_ParseTupleAndKeywords(args, kw, "s|i", (char**)keywords, &filename, &iscolor))
return NULL;
// Inside ALLOW_THREADS, must not reference 'filename' because it might move.
// So make a local copy 'filename_copy'.
char filename_copy[2048];
strncpy(filename_copy, filename, sizeof(filename_copy));
IplImage *r;
Py_BEGIN_ALLOW_THREADS
r = cvLoadImage(filename_copy, iscolor);
Py_END_ALLOW_THREADS
if (r == NULL) {
PyErr_SetFromErrnoWithFilename(PyExc_IOError, filename);
return NULL;
} else {
return FROM_IplImagePTR(r);
}
}
static PyObject *pycvLoadImageM(PyObject *self, PyObject *args, PyObject *kw)
{
const char *keywords[] = { "filename", "iscolor", NULL };
char *filename;
int iscolor = CV_LOAD_IMAGE_COLOR;
if (!PyArg_ParseTupleAndKeywords(args, kw, "s|i", (char**)keywords, &filename, &iscolor))
return NULL;
// Inside ALLOW_THREADS, must not reference 'filename' because it might move.
// So make a local copy 'filename_copy'.
char filename_copy[2048];
strncpy(filename_copy, filename, sizeof(filename_copy));
CvMat *r;
Py_BEGIN_ALLOW_THREADS
r = cvLoadImageM(filename_copy, iscolor);
Py_END_ALLOW_THREADS
if (r == NULL) {
PyErr_SetFromErrnoWithFilename(PyExc_IOError, filename);
return NULL;
} else {
return FROM_CvMatPTR(r);
}
}
static PyObject *pycvCreateImageHeader(PyObject *self, PyObject *args)
{
int w, h, depth, channels;
if (!PyArg_ParseTuple(args, "(ii)Ii", &w, &h, &depth, &channels))
return NULL;
iplimage_t *cva = PyObject_NEW(iplimage_t, &iplimage_Type);
cva->a = cvCreateImageHeader(cvSize(w, h), depth, channels);
if (cva->a == NULL) {
PyErr_SetString(PyExc_TypeError, "CreateImage failed");
return NULL;
} else {
cva->data = Py_None;
Py_INCREF(cva->data);
cva->offset = 0;
return (PyObject*)cva;
}
}
static PyObject *pycvCreateImage(PyObject *self, PyObject *args)
{
int w, h, depth, channels;
if (!PyArg_ParseTuple(args, "(ii)Ii:CreateImage", &w, &h, &depth, &channels))
return NULL;
iplimage_t *cva = PyObject_NEW(iplimage_t, &iplimage_Type);
ERRWRAP(cva->a = cvCreateImage(cvSize(w, h), depth, channels));
if (cva->a == NULL) {
PyErr_SetString(PyExc_TypeError, "CreateImage failed");
return NULL;
} else {
return pythonize_IplImage(cva);
}
}
static PyObject *pycvCreateMatHeader(PyObject *self, PyObject *args)
{
int rows, cols, type;
if (!PyArg_ParseTuple(args, "iii", &rows, &cols, &type))
return NULL;
cvmat_t *m = PyObject_NEW(cvmat_t, &cvmat_Type);
ERRWRAP(m->a = cvCreateMatHeader(rows, cols, type));
if (m->a == NULL) {
PyErr_SetString(PyExc_TypeError, "CreateMat failed");
return NULL;
} else {
m->data = Py_None;
Py_INCREF(m->data);
m->offset = 0;
return (PyObject*)m;
}
}
static PyObject *pycvCreateMat(PyObject *self, PyObject *args)
{
int rows, cols, type;
if (!PyArg_ParseTuple(args, "iii", &rows, &cols, &type))
return NULL;
cvmat_t *m = PyObject_NEW(cvmat_t, &cvmat_Type);
ERRWRAP(m->a = cvCreateMat(rows, cols, type));
if (m->a == NULL) {
PyErr_SetString(PyExc_TypeError, "CreateMat failed");
return NULL;
} else {
return pythonize_CvMat(m);
}
}
static PyObject *pycvCreateMatNDHeader(PyObject *self, PyObject *args)
{
ints dims;
int type;
if (!PyArg_ParseTuple(args, "O&i", convert_to_ints, (void*)&dims, &type))
return NULL;
cvmatnd_t *m = PyObject_NEW(cvmatnd_t, &cvmatnd_Type);
ERRWRAP(m->a = cvCreateMatNDHeader(dims.count, dims.i, type));
m->data = Py_None;
Py_INCREF(m->data);
return (PyObject*)m;
}
static PyObject *pycvCreateMatND(PyObject *self, PyObject *args)
{
ints dims;
int type;
if (!PyArg_ParseTuple(args, "O&i", convert_to_ints, (void*)&dims, &type))
return NULL;
cvmatnd_t *m = PyObject_NEW(cvmatnd_t, &cvmatnd_Type);
ERRWRAP(m->a = cvCreateMatND(dims.count, dims.i, type));
return pythonize_CvMatND(m);
}
#if PYTHON_USE_NUMPY
static PyObject *pycvfromarray(PyObject *self, PyObject *args, PyObject *kw)
{
const char *keywords[] = { "arr", "allowND", NULL };
PyObject *o;
int allowND = 0;
if (!PyArg_ParseTupleAndKeywords(args, kw, "O|i", (char**)keywords, &o, &allowND))
return NULL;
return fromarray(o, allowND);
}
static PyObject *fromarray(PyObject *o, int allowND)
{
PyObject *ao = PyObject_GetAttrString(o, "__array_struct__");
if ((ao == NULL) || !PyCObject_Check(ao)) {
PyErr_SetString(PyExc_TypeError, "object does not have array interface");
return NULL;
}
PyArrayInterface *pai = (PyArrayInterface*)PyCObject_AsVoidPtr(ao);
if (pai->two != 2) {
PyErr_SetString(PyExc_TypeError, "object does not have array interface");
return NULL;
}
int type = -1;
switch (pai->typekind) {
case 'i':
if (pai->itemsize == 1)
type = CV_8SC1;
else if (pai->itemsize == 2)
type = CV_16SC1;
else if (pai->itemsize == 4)
type = CV_32SC1;
else if (pai->itemsize == 8) {
PyErr_SetString(PyExc_TypeError, "OpenCV cannot handle 64-bit integer arrays");
return NULL;
}
break;
case 'u':
if (pai->itemsize == 1)
type = CV_8UC1;
else if (pai->itemsize == 2)
type = CV_16UC1;
break;
case 'f':
if (pai->itemsize == 4)
type = CV_32FC1;
else if (pai->itemsize == 8)
type = CV_64FC1;
break;
}
assert(type != -1);
if (!allowND) {
cvmat_t *m = PyObject_NEW(cvmat_t, &cvmat_Type);
if (pai->nd == 2) {
ERRWRAP(m->a = cvCreateMatHeader(pai->shape[0], pai->shape[1], type));
m->a->step = pai->strides[0];
} else if (pai->nd == 3) {
if (pai->shape[2] > CV_CN_MAX)
return (PyObject*)failmsg("cv.fromarray too many channels, see allowND argument");
ERRWRAP(m->a = cvCreateMatHeader(pai->shape[0], pai->shape[1], type + ((pai->shape[2] - 1) << CV_CN_SHIFT)));
m->a->step = pai->strides[0];
} else {
return (PyObject*)failmsg("cv.fromarray array can be 2D or 3D only, see allowND argument");
}
m->a->data.ptr = (uchar*)pai->data;
return pythonize_foreign_CvMat(m);
} else {
int dims[CV_MAX_DIM];
int i;
for (i = 0; i < pai->nd; i++)
dims[i] = pai->shape[i];
cvmatnd_t *m = PyObject_NEW(cvmatnd_t, &cvmatnd_Type);
ERRWRAP(m->a = cvCreateMatND(pai->nd, dims, type));
m->a->data.ptr = (uchar*)pai->data;
return pythonize_CvMatND(m);
}
}
#endif
static PyObject *pycvCreateHist(PyObject *self, PyObject *args, PyObject *kw)
{
const char *keywords[] = { "dims", "type", "ranges", "uniform", NULL };
PyObject *dims;
int type;
float **ranges = NULL;
int uniform = 1;
if (!PyArg_ParseTupleAndKeywords(args, kw, "Oi|O&i", (char**)keywords, &dims, &type, convert_to_floatPTRPTR, (void*)&ranges, &uniform)) {
return NULL;
}
cvhistogram_t *h = PyObject_NEW(cvhistogram_t, &cvhistogram_Type);
args = Py_BuildValue("Oi", dims, CV_32FC1);
h->bins = pycvCreateMatND(self, args);
Py_DECREF(args);
if (h->bins == NULL) {
return NULL;
}
h->h.type = CV_HIST_MAGIC_VAL;
if (!convert_to_CvArr(h->bins, &(h->h.bins), "bins"))
return NULL;
ERRWRAP(cvSetHistBinRanges(&(h->h), ranges, uniform));
return (PyObject*)h;
}
static PyObject *pycvInitLineIterator(PyObject *self, PyObject *args, PyObject *kw)
{
const char *keywords[] = { "image", "pt1", "pt2", "connectivity", "left_to_right", NULL };
CvArr *image;
CvPoint pt1;
CvPoint pt2;
int connectivity = 8;
int left_to_right = 0;
if (!PyArg_ParseTupleAndKeywords(args, kw, "O&O&O&|ii", (char**)keywords,
convert_to_CvArr, &image,
convert_to_CvPoint, &pt1,
convert_to_CvPoint, &pt2,
&connectivity,
&left_to_right))
return NULL;
cvlineiterator_t *pi = PyObject_NEW(cvlineiterator_t, &cvlineiterator_Type);
pi->count = cvInitLineIterator(image, pt1, pt2, &pi->iter, connectivity, left_to_right);
ERRWRAP(pi->type = cvGetElemType(image));
return (PyObject*)pi;
}
static PyObject *pycvCreateMemStorage(PyObject *self, PyObject *args)
{
int block_size = 0;
if (!PyArg_ParseTuple(args, "|i", &block_size))
return NULL;
cvmemstorage_t *pm = PyObject_NEW(cvmemstorage_t, &cvmemstorage_Type);
pm->a = cvCreateMemStorage(block_size);
return (PyObject*)pm;
}
// single index: return row
// 2 indices: row, column
// both row and column can be slices. column slice must have a step of 1.
//
// returns a scalar when all dimensions are specified and all are integers. Otherwise returns a CvMat.
//
static PyObject *cvarr_GetItem(PyObject *o, PyObject *key)
{
dims dd;
CvArr *cva;
if (!convert_to_CvArr(o, &cva, "src"))
return NULL;
if (!convert_to_dims(key, &dd, cva, "key")) {
return NULL;
}
// Figure out if all supplied indices have a stride of zero - means they are not slices
// and if all indices are positive
int all0 = 1;
for (int i = 0; i < dd.count; i++) {
all0 &= (dd.step[i] == 0) && (0 <= dd.i[i]);
}
// if every dimension supplied, and none are slices, return the scalar
if ((cvGetDims(cva) == dd.count) && all0) {
CvScalar s;
ERRWRAP(s = cvGetND(cva, dd.i));
return PyObject_FromCvScalar(s, cvGetElemType(cva));
} else {
// pad missing dimensions
for (int i = dd.count; i < cvGetDims(cva); i++) {
dd.i[i] = 0;
dd.step[i] = 1;
dd.length[i] = cvGetDimSize(cva, i);
}
dd.count = cvGetDims(cva);
// negative steps are illegal for OpenCV
for (int i = 0; i < dd.count; i++) {
if (dd.step[i] < 0)
return (PyObject*)failmsg("Negative step is illegal");
}
// zero length illegal for OpenCV
for (int i = 0; i < dd.count; i++) {
if (dd.length[i] == 0)
return (PyObject*)failmsg("Zero sized dimension is illegal");
}
// column step can only be 0 or 1
if ((dd.step[dd.count-1] != 0) && (dd.step[dd.count-1] != 1))
return (PyObject*)failmsg("Column step is illegal");
if (is_cvmat(o) || is_iplimage(o)) {
cvmat_t *sub = PyObject_NEW(cvmat_t, &cvmat_Type);
sub->a = cvCreateMatHeader(dd.length[0], dd.length[1], cvGetElemType(cva));
uchar *old0; // pointer to first element in old mat
int oldstep;
cvGetRawData(cva, &old0, &oldstep);
uchar *new0; // pointer to first element in new mat
ERRWRAP(new0 = cvPtrND(cva, dd.i));
sub->a->step = oldstep * dd.step[0];
sub->data = what_data(o);
Py_INCREF(sub->data);
sub->offset = new0 - old0;
return (PyObject*)sub;
} else {
cvmatnd_t *sub = PyObject_NEW(cvmatnd_t, &cvmatnd_Type);
sub->a = cvCreateMatNDHeader(dd.count, dd.length, cvGetElemType(cva));
uchar *old0; // pointer to first element in old mat
cvGetRawData(cva, &old0);
uchar *new0; // pointer to first element in new mat
ERRWRAP(new0 = cvPtrND(cva, dd.i));
for (int d = 0; d < dd.count; d++) {
int stp = dd.step[d];
sub->a->dim[d].step = ((CvMatND*)cva)->dim[d].step * ((stp == 0) ? 1 : stp);
sub->a->dim[d].size = dd.length[d];
}
sub->data = what_data(o);
Py_INCREF(sub->data);
sub->offset = new0 - old0;
return (PyObject*)sub;
}
}
}
static int cvarr_SetItem(PyObject *o, PyObject *key, PyObject *v)
{
dims dd;
CvArr *cva;
if (!convert_to_CvArr(o, &cva, "src"))
return -1;
if (!convert_to_dims(key, &dd, cva, "key")) {
return -1;
}
if (cvGetDims(cva) != dd.count) {
PyErr_SetString(PyExc_TypeError, "key length does not match array dimension");
return -1;
}
CvScalar s;
if (PySequence_Check(v)) {
PyObject *fi = PySequence_Fast(v, "v");
if (fi == NULL)
return -1;
if (PySequence_Fast_GET_SIZE(fi) != CV_MAT_CN(cvGetElemType(cva))) {
PyErr_SetString(PyExc_TypeError, "sequence size must be same as channel count");
return -1;
}
for (Py_ssize_t i = 0; i < PySequence_Fast_GET_SIZE(fi); i++)
s.val[i] = PyFloat_AsDouble(PySequence_Fast_GET_ITEM(fi, i));
Py_DECREF(fi);
} else {
if (1 != CV_MAT_CN(cvGetElemType(cva))) {
PyErr_SetString(PyExc_TypeError, "scalar supplied but channel count does not equal 1");
return -1;
}
s.val[0] = PyFloat_AsDouble(v);
}
switch (dd.count) {
case 1:
cvSet1D(cva, dd.i[0], s);
break;
case 2:
cvSet2D(cva, dd.i[0], dd.i[1], s);
break;
case 3:
cvSet3D(cva, dd.i[0], dd.i[1], dd.i[2], s);
break;
default:
cvSetND(cva, dd.i, s);
// XXX - OpenCV bug? - seems as if an error in cvSetND does not set error status?
break;
}
if (cvGetErrStatus() != 0) {
translate_error_to_exception();
return -1;
}
return 0;
}
static PyObject *pycvSetData(PyObject *self, PyObject *args)
{
PyObject *o, *s;
int step = CV_AUTO_STEP;
if (!PyArg_ParseTuple(args, "OO|i", &o, &s, &step))
return NULL;
if (is_iplimage(o)) {
iplimage_t *ipl = (iplimage_t*)o;
ipl->a->widthStep = step;
Py_DECREF(ipl->data);
ipl->data = s;
Py_INCREF(ipl->data);
} else if (is_cvmat(o)) {
cvmat_t *m = (cvmat_t*)o;
m->a->step = step;
Py_DECREF(m->data);
m->data = s;
Py_INCREF(m->data);
} else if (is_cvmatnd(o)) {
cvmatnd_t *m = (cvmatnd_t*)o;
Py_DECREF(m->data);
m->data = s;
Py_INCREF(m->data);
} else {
PyErr_SetString(PyExc_TypeError, "SetData argument must be either IplImage, CvMat or CvMatND");
return NULL;
}
Py_RETURN_NONE;
}
static PyObject *what_data(PyObject *o)
{
if (is_iplimage(o)) {
iplimage_t *ipl = (iplimage_t*)o;
return ipl->data;
} else if (is_cvmat(o)) {
cvmat_t *m = (cvmat_t*)o;
return m->data;
} else if (is_cvmatnd(o)) {
cvmatnd_t *m = (cvmatnd_t*)o;
return m->data;
} else {
assert(0);
return NULL;
}
}
static PyObject *pycvCreateData(PyObject *self, PyObject *args)
{
PyObject *o;
if (!PyArg_ParseTuple(args, "O", &o))
return NULL;
CvArr *a;
if (!convert_to_CvArr(o, &a, "arr"))
return NULL;
ERRWRAP(cvCreateData(a));
Py_DECREF(what_data(o));
if (is_iplimage(o)) {
iplimage_t *ipl = (iplimage_t*)o;
pythonize_IplImage(ipl);
} else if (is_cvmat(o)) {
cvmat_t *m = (cvmat_t*)o;
pythonize_CvMat(m);
} else if (is_cvmatnd(o)) {
cvmatnd_t *m = (cvmatnd_t*)o;
pythonize_CvMatND(m);
} else {
PyErr_SetString(PyExc_TypeError, "CreateData argument must be either IplImage, CvMat or CvMatND");
return NULL;
}
Py_RETURN_NONE;
}
static PyObject *pycvGetDims(PyObject *self, PyObject *args)
{
PyObject *o;
if (!PyArg_ParseTuple(args, "O", &o))
return NULL;
CvArr *cva;
if (!convert_to_CvArr(o, &cva, "src"))
return NULL;
int i, nd;
ERRWRAP(nd = cvGetDims(cva));
PyObject *r = PyTuple_New(nd);
for (i = 0; i < nd; i++)
PyTuple_SetItem(r, i, PyInt_FromLong(cvGetDimSize(cva, i)));
return r;
}
static PyObject *pycvGetImage(PyObject *self, PyObject *args)
{
PyObject *o, *r;
if (!PyArg_ParseTuple(args, "O", &o))
return NULL;
if (is_iplimage(o)) {
r = o;
Py_INCREF(o);
} else {
IplImage *ipl = cvCreateImageHeader(cvSize(100,100), 8, 1); // these args do not matter, because overwritten
CvArr *cva;
if (!convert_to_CvArr(o, &cva, "src"))
return NULL;
ERRWRAP(cvGetImage(cva, ipl));
iplimage_t *oipl = PyObject_NEW(iplimage_t, &iplimage_Type);
oipl->a = ipl;
oipl->data = what_data(o);
Py_INCREF(oipl->data);
oipl->offset = 0;
r = (PyObject*)oipl;
}
return r;
}
static PyObject *pycvGetMat(PyObject *self, PyObject *args, PyObject *kw)
{
const char *keywords[] = { "arr", "allowND", NULL };
PyObject *o, *r;
int allowND = 0;
if (!PyArg_ParseTupleAndKeywords(args, kw, "O|i", (char**)keywords, &o, &allowND))
return NULL;
if (is_cvmat(o)) {
r = o;
Py_INCREF(o);
} else {
CvMat *m = cvCreateMatHeader(100,100, 1); // these args do not matter, because overwritten
CvArr *cva;
if (!convert_to_CvArr(o, &cva, "src"))
return NULL;
ERRWRAP(cvGetMat(cva, m, NULL, allowND));
cvmat_t *om = PyObject_NEW(cvmat_t, &cvmat_Type);
om->a = m;
om->data = what_data(o);
Py_INCREF(om->data);
om->offset = 0;
r = (PyObject*)om;
}
return r;
}
static PyObject *pycvReshape(PyObject *self, PyObject *args)
{
PyObject *o;
int new_cn;
int new_rows = 0;
if (!PyArg_ParseTuple(args, "Oi|i", &o, &new_cn, &new_rows))
return NULL;
CvMat *m = cvCreateMatHeader(100,100, 1); // these args do not matter, because overwritten
CvArr *cva;
if (!convert_to_CvArr(o, &cva, "src"))
return NULL;
ERRWRAP(cvReshape(cva, m, new_cn, new_rows));
cvmat_t *om = PyObject_NEW(cvmat_t, &cvmat_Type);
om->a = m;
om->data = what_data(o);
Py_INCREF(om->data);
om->offset = 0;
return (PyObject*)om;
}
static PyObject *pycvReshapeMatND(PyObject *self, PyObject *args)
{
PyObject *o;
int new_cn = 0;
PyObject *new_dims = NULL;
if (!PyArg_ParseTuple(args, "OiO", &o, &new_cn, &new_dims))
return NULL;
CvMatND *cva;
if (!convert_to_CvMatND(o, &cva, "src"))
return NULL;
ints dims;
if (new_dims != NULL) {
if (!convert_to_ints(new_dims, &dims, "new_dims"))
return NULL;
}
if (new_cn == 0)
new_cn = CV_MAT_CN(cvGetElemType(cva));
int i;
int count = CV_MAT_CN(cvGetElemType(cva));
for (i = 0; i < cva->dims; i++)
count *= cva->dim[i].size;
int newcount = new_cn;
for (i = 0; i < dims.count; i++)
newcount *= dims.i[i];
if (count != newcount) {
PyErr_SetString(PyExc_TypeError, "Total number of elements must be unchanged");
return NULL;
}
CvMatND *pn = cvCreateMatNDHeader(dims.count, dims.i, CV_MAKETYPE(CV_MAT_TYPE(cva->type), new_cn));
return shareDataND(o, cva, pn);
}
static void OnMouse(int event, int x, int y, int flags, void* param)
{
PyGILState_STATE gstate;
gstate = PyGILState_Ensure();
PyObject *o = (PyObject*)param;
PyObject *args = Py_BuildValue("iiiiO", event, x, y, flags, PyTuple_GetItem(o, 1));
PyObject *r = PyObject_Call(PyTuple_GetItem(o, 0), args, NULL);
if (r == NULL)
PyErr_Print();
else
Py_DECREF(r);
Py_DECREF(args);
PyGILState_Release(gstate);
}
static PyObject *pycvSetMouseCallback(PyObject *self, PyObject *args, PyObject *kw)
{
const char *keywords[] = { "window_name", "on_mouse", "param", NULL };
char* name;
PyObject *on_mouse;
PyObject *param = NULL;
if (!PyArg_ParseTupleAndKeywords(args, kw, "sO|O", (char**)keywords, &name, &on_mouse, &param))
return NULL;
if (!PyCallable_Check(on_mouse)) {
PyErr_SetString(PyExc_TypeError, "on_mouse must be callable");
return NULL;
}
if (param == NULL) {
param = Py_None;
}
ERRWRAP(cvSetMouseCallback(name, OnMouse, Py_BuildValue("OO", on_mouse, param)));
Py_RETURN_NONE;
}
void OnChange(int pos, void *param)
{
PyGILState_STATE gstate;
gstate = PyGILState_Ensure();
PyObject *o = (PyObject*)param;
PyObject *args = Py_BuildValue("(i)", pos);
PyObject *r = PyObject_Call(PyTuple_GetItem(o, 0), args, NULL);
if (r == NULL)
PyErr_Print();
Py_DECREF(args);
PyGILState_Release(gstate);
}
static PyObject *pycvCreateTrackbar(PyObject *self, PyObject *args)
{
PyObject *on_change;
char* trackbar_name;
char* window_name;
int *value = new int;
int count;
if (!PyArg_ParseTuple(args, "ssiiO", &trackbar_name, &window_name, value, &count, &on_change))
return NULL;
if (!PyCallable_Check(on_change)) {
PyErr_SetString(PyExc_TypeError, "on_change must be callable");
return NULL;
}
ERRWRAP(cvCreateTrackbar2(trackbar_name, window_name, value, count, OnChange, Py_BuildValue("OO", on_change, Py_None)));
Py_RETURN_NONE;
}
static PyObject *pycvFindContours(PyObject *self, PyObject *args, PyObject *kw)
{
CvArr* image;
PyObject *pyobj_image = NULL;
CvMemStorage* storage;
PyObject *pyobj_storage = NULL;
CvSeq* first_contour;
int header_size = sizeof(CvContour);
int mode = CV_RETR_LIST;
int method = CV_CHAIN_APPROX_SIMPLE;
CvPoint offset = cvPoint(0,0);
PyObject *pyobj_offset = NULL;
const char *keywords[] = { "image", "storage", "mode", "method", "offset", NULL };
if (!PyArg_ParseTupleAndKeywords(args, kw, "OO|iiO", (char**)keywords, &pyobj_image, &pyobj_storage, &mode, &method, &pyobj_offset))
return NULL;
if (!convert_to_CvArr(pyobj_image, &image, "image")) return NULL;
if (!convert_to_CvMemStorage(pyobj_storage, &storage, "storage")) return NULL;
if ((pyobj_offset != NULL) && !convert_to_CvPoint(pyobj_offset, &offset, "offset")) return NULL;
ERRWRAP(cvFindContours(image, storage, &first_contour, header_size, mode, method, offset));
cvseq_t *ps = PyObject_NEW(cvseq_t, &cvseq_Type);
ps->a = first_contour;
ps->container = PyTuple_GetItem(args, 1); // storage
Py_INCREF(ps->container);
return (PyObject*)ps;
}
static PyObject *pycvApproxPoly(PyObject *self, PyObject *args, PyObject *kw)
{
cvarrseq src_seq;
PyObject *pyobj_src_seq = NULL;
int header_size = sizeof(CvContour);
CvMemStorage* storage;
PyObject *pyobj_storage = NULL;
int method;
double parameter = 0;
int parameter2 = 0;
const char *keywords[] = { "src_seq", "storage", "method", "parameter", "parameter2", NULL };
if (!PyArg_ParseTupleAndKeywords(args, kw, "OOi|di", (char**)keywords, &pyobj_src_seq, &pyobj_storage, &method, &parameter, &parameter2))
return NULL;
if (!convert_to_cvarrseq(pyobj_src_seq, &src_seq, "src_seq")) return NULL;
if (!convert_to_CvMemStorage(pyobj_storage, &storage, "storage")) return NULL;
CvSeq* r;
ERRWRAP(r = cvApproxPoly(src_seq.mat, header_size, storage, method, parameter, parameter2));
return FROM_CvSeqPTR(r);
}
static float distance_function_glue( const float* a, const float* b, void* user_param )
{
PyObject *o = (PyObject*)user_param;
PyObject *args = Py_BuildValue("(ff)(ff)O", a[0], a[1], b[0], b[1], PyTuple_GetItem(o, 1));
PyObject *r = PyObject_Call(PyTuple_GetItem(o, 0), args, NULL);
Py_DECREF(args);
return (float)PyFloat_AsDouble(r);
}
static PyObject *pycvCalcEMD2(PyObject *self, PyObject *args, PyObject *kw)
{
const char *keywords[] = { "signature1", "signature2", "distance_type", "distance_func", "cost_matrix", "flow", "lower_bound", "userdata", NULL };
CvArr* signature1;
PyObject *pyobj_signature1;
CvArr* signature2;
PyObject *pyobj_signature2;
int distance_type;
PyObject *distance_func = NULL;
CvArr* cost_matrix=NULL;
PyObject *pyobj_cost_matrix = NULL;
CvArr* flow=NULL;
PyObject *pyobj_flow = NULL;
float lower_bound = 0.0;
PyObject *userdata = NULL;
if (!PyArg_ParseTupleAndKeywords(args, kw, "OOi|OOOfO", (char**)keywords,
&pyobj_signature1,
&pyobj_signature2,
&distance_type,
&distance_func,
&pyobj_cost_matrix,
&pyobj_flow,
&lower_bound,
&userdata))
return NULL;
if (!convert_to_CvArr(pyobj_signature1, &signature1, "signature1")) return NULL;
if (!convert_to_CvArr(pyobj_signature2, &signature2, "signature2")) return NULL;
if (pyobj_cost_matrix && !convert_to_CvArr(pyobj_cost_matrix, &cost_matrix, "cost_matrix")) return NULL;
if (pyobj_flow && !convert_to_CvArr(pyobj_flow, &flow, "flow")) return NULL;
if (distance_func == NULL) {
distance_func = Py_None;
}
if (userdata == NULL) {
userdata = Py_None;
}
PyObject *ud = Py_BuildValue("OO", distance_func, userdata);
float r;
ERRWRAP(r = cvCalcEMD2(signature1, signature2, distance_type, distance_function_glue, cost_matrix, flow, &lower_bound, (void*)ud));
Py_DECREF(ud);
return PyFloat_FromDouble(r);
}
static PyObject *pycvSubdiv2DLocate(PyObject *self, PyObject *args)
{
PyObject *pyobj_subdiv;
PyObject *pyobj_pt;
CvSubdiv2D *subdiv;
CvPoint2D32f pt;
CvSubdiv2DEdge edge;
CvSubdiv2DPoint* vertex;
if (!PyArg_ParseTuple(args, "OO", &pyobj_subdiv, &pyobj_pt))
return NULL;
if (!convert_to_CvSubdiv2DPTR(pyobj_subdiv, &subdiv, "subdiv"))
return NULL;
if (!convert_to_CvPoint2D32f(pyobj_pt, &pt, "pt"))
return NULL;
CvSubdiv2DPointLocation loc = cvSubdiv2DLocate(subdiv, pt, &edge, &vertex);
PyObject *r;
switch (loc) {
case CV_PTLOC_INSIDE:
case CV_PTLOC_ON_EDGE:
r = FROM_CvSubdiv2DEdge(edge);
break;
case CV_PTLOC_VERTEX:
r = FROM_CvSubdiv2DPointPTR(vertex);
break;
case CV_PTLOC_OUTSIDE_RECT:
r = Py_None;
Py_INCREF(Py_None);
break;
default:
return (PyObject*)failmsg("Unexpected loc from cvSubdiv2DLocate");
}
return Py_BuildValue("iO", (int)loc, r);
}
static PyObject *pycvCalcOpticalFlowPyrLK(PyObject *self, PyObject *args)
{
CvArr* prev;
PyObject *pyobj_prev = NULL;
CvArr* curr;
PyObject *pyobj_curr = NULL;
CvArr* prev_pyr;
PyObject *pyobj_prev_pyr = NULL;
CvArr* curr_pyr;
PyObject *pyobj_curr_pyr = NULL;
CvPoint2D32f* prev_features;
PyObject *pyobj_prev_features = NULL;
PyObject *pyobj_curr_features = NULL;
CvPoint2D32f* curr_features;
CvSize win_size;
int level;
CvTermCriteria criteria;
int flags;
if (!PyArg_ParseTuple(args, "OOOOO(ii)i(iif)i|O",
&pyobj_prev, &pyobj_curr, &pyobj_prev_pyr, &pyobj_curr_pyr,
&pyobj_prev_features,
&win_size.width, &win_size.height, &level,
&criteria.type, &criteria.max_iter, &criteria.epsilon,
&flags,
&pyobj_curr_features))
return NULL;
if (!convert_to_CvArr(pyobj_prev, &prev, "prev")) return NULL;
if (!convert_to_CvArr(pyobj_curr, &curr, "curr")) return NULL;
if (!convert_to_CvArr(pyobj_prev_pyr, &prev_pyr, "prev_pyr")) return NULL;
if (!convert_to_CvArr(pyobj_curr_pyr, &curr_pyr, "curr_pyr")) return NULL;
if (!convert_to_CvPoint2D32fPTR(pyobj_prev_features, &prev_features, "prev_features")) return NULL;
int count = (int)PySequence_Length(pyobj_prev_features);
if (flags & CV_LKFLOW_INITIAL_GUESSES) {
failmsg("flag CV_LKFLOW_INITIAL_GUESSES is determined automatically from function arguments - it is not required");
return NULL;
}
if (!pyobj_curr_features) {
curr_features = new CvPoint2D32f[count];
} else {
if (PySequence_Length(pyobj_curr_features) != count) {
failmsg("curr_features must have same length as prev_features");
return NULL;
}
if (!convert_to_CvPoint2D32fPTR(pyobj_curr_features, &curr_features, "curr_features")) return NULL;
flags |= CV_LKFLOW_INITIAL_GUESSES;
}
float *track_error = new float[count];
char* status = new char[count];
ERRWRAP(cvCalcOpticalFlowPyrLK(prev, curr, prev_pyr, curr_pyr, prev_features, curr_features, count, win_size, level, status, track_error, criteria, flags));
cvpoint2d32f_count r0;
r0.points = curr_features;
r0.count = count;
chars r1;
r1.f = status;
r1.count = count;
floats r2;
r2.f = track_error;
r2.count = count;
return Py_BuildValue("NNN", FROM_cvpoint2d32f_count(r0), FROM_chars(r1), FROM_floats(r2));
}
// pt1,pt2 are input and output arguments here
static PyObject *pycvClipLine(PyObject *self, PyObject *args)
{
CvSize img_size;
PyObject *pyobj_img_size = NULL;
CvPoint pt1;
PyObject *pyobj_pt1 = NULL;
CvPoint pt2;
PyObject *pyobj_pt2 = NULL;
if (!PyArg_ParseTuple(args, "OOO", &pyobj_img_size, &pyobj_pt1, &pyobj_pt2))
return NULL;
if (!convert_to_CvSize(pyobj_img_size, &img_size, "img_size")) return NULL;
if (!convert_to_CvPoint(pyobj_pt1, &pt1, "pt1")) return NULL;
if (!convert_to_CvPoint(pyobj_pt2, &pt2, "pt2")) return NULL;
int r;
ERRWRAP(r = cvClipLine(img_size, &pt1, &pt2));
if (r == 0) {
Py_RETURN_NONE;
} else {
return Py_BuildValue("NN", FROM_CvPoint(pt1), FROM_CvPoint(pt2));
}
}
static PyObject *temp_test(PyObject *self, PyObject *args)
{
#if 0
CvArr *im = cvLoadImage("../samples/c/lena.jpg", 0);
printf("im=%p\n", im);
CvMat *m = cvEncodeImage(".jpeg", im);
#endif
#if 0
CvArr *im = cvLoadImage("lena.jpg", 0);
float r0[] = { 0, 255 };
float *ranges[] = { r0 };
int hist_size[] = { 256 };
CvHistogram *hist = cvCreateHist(1, hist_size, CV_HIST_ARRAY, ranges, 1);
cvCalcHist(im, hist, 0, 0);
#endif
#if 0
CvMat* mat = cvCreateMat( 3, 3, CV_32F );
CvMat row_header, *row;
row = cvReshape( mat, &row_header, 0, 1 );
printf("%d,%d\n", row_header.rows, row_header.cols);
printf("ge %08x\n", cvGetElemType(mat));
#endif
#if 0
CvMat *m = cvCreateMat(1, 10, CV_8UC1);
printf("CvMat stride ===> %d\n", m->step);
#endif
#if 0
CvPoint2D32f src[3] = { { 0,0 }, { 1,0 }, { 0,1 } };
CvPoint2D32f dst[3] = { { 0,0 }, { 17,0 }, { 0,17 } };
CvMat* mapping = cvCreateMat(2, 3, CV_32FC1);
cvGetAffineTransform(src, dst, mapping);
printf("===> %f\n", cvGetReal2D(mapping, 0, 0));
#endif
#if 0
CvArr *im = cvLoadImage("checker77.png");
CvPoint2D32f corners[49];
int count;
cvFindChessboardCorners(im, cvSize(7,7), corners, &count, 0);
printf("count=%d\n", count);
#endif
#if 0
CvMat *src = cvCreateMat(512, 512, CV_8UC3);
CvMat *dst = cvCreateMat(512, 512, CV_8UC3);
cvPyrMeanShiftFiltering(src, dst, 5, 5);
return FROM_CvMat(src);
#endif
return PyFloat_FromDouble(0.0);
}
static PyObject *pycvFindChessboardCorners(PyObject *self, PyObject *args, PyObject *kw)
{
CvArr* image;
PyObject *pyobj_image = NULL;
CvSize pattern_size;
PyObject *pyobj_pattern_size = NULL;
cvpoint2d32f_count corners;
int flags = CV_CALIB_CB_ADAPTIVE_THRESH;
const char *keywords[] = { "image", "pattern_size", "flags", NULL };
if (!PyArg_ParseTupleAndKeywords(args, kw, "OO|i", (char**)keywords, &pyobj_image, &pyobj_pattern_size, &flags))
return NULL;
if (!convert_to_CvArr(pyobj_image, &image, "image")) return NULL;
if (!convert_to_CvSize(pyobj_pattern_size, &pattern_size, "pattern_size")) return NULL;
int r;
corners.points = new CvPoint2D32f[pattern_size.width * pattern_size.height];
ERRWRAP(r = cvFindChessboardCorners(image, pattern_size, corners.points,&corners.count, flags));
return Py_BuildValue("NN", FROM_int(r), FROM_cvpoint2d32f_count(corners));
}
// For functions GetSubRect, GetRow, GetCol.
// recipient has a view into donor's data, and needs to share it.
// make recipient use the donor's data, compute the offset,
// and manage reference counts.
static void preShareData(CvArr *donor, CvMat **recipient)
{
*recipient = cvCreateMatHeader(4, 4, cvGetElemType(donor));
}
static PyObject *shareData(PyObject *donor, CvArr *pdonor, CvMat *precipient)
{
PyObject *recipient = (PyObject*)PyObject_NEW(cvmat_t, &cvmat_Type);
((cvmat_t*)recipient)->a = precipient;
((cvmat_t*)recipient)->offset = cvPtr1D(precipient, 0) - cvPtr1D(pdonor, 0);
PyObject *arr_data;
if (is_cvmat(donor)) {
arr_data = ((cvmat_t*)donor)->data;
((cvmat_t*)recipient)->offset += ((cvmat_t*)donor)->offset;
} else if (is_iplimage(donor)) {
arr_data = ((iplimage_t*)donor)->data;
((cvmat_t*)recipient)->offset += ((iplimage_t*)donor)->offset;
} else {
return (PyObject*)failmsg("Argument 'mat' must be either IplImage or CvMat");
}
((cvmat_t*)recipient)->data = arr_data;
Py_INCREF(arr_data);
return recipient;
}
static PyObject *shareDataND(PyObject *donor, CvMatND *pdonor, CvMatND *precipient)
{
PyObject *recipient = (PyObject*)PyObject_NEW(cvmatnd_t, &cvmatnd_Type);
((cvmatnd_t*)recipient)->a = precipient;
((cvmatnd_t*)recipient)->offset = 0;
PyObject *arr_data;
arr_data = ((cvmatnd_t*)donor)->data;
((cvmatnd_t*)recipient)->data = arr_data;
Py_INCREF(arr_data);
return recipient;
}
static PyObject *pycvGetHuMoments(PyObject *self, PyObject *args)
{
CvMoments* moments;
PyObject *pyobj_moments = NULL;
if (!PyArg_ParseTuple(args, "O", &pyobj_moments))
return NULL;
if (!convert_to_CvMomentsPTR(pyobj_moments, &moments, "moments")) return NULL;
CvHuMoments r;
ERRWRAP(cvGetHuMoments(moments, &r));
return Py_BuildValue("ddddddd", r.hu1, r.hu2, r.hu3, r.hu4, r.hu5, r.hu6, r.hu7);
}
static PyObject *pycvFitLine(PyObject *self, PyObject *args)
{
cvarrseq points;
PyObject *pyobj_points = NULL;
int dist_type;
float param;
float reps;
float aeps;
float r[6];
if (!PyArg_ParseTuple(args, "Oifff", &pyobj_points, &dist_type, &param, &reps, &aeps))
return NULL;
if (!convert_to_cvarrseq(pyobj_points, &points, "points")) return NULL;
ERRWRAP(cvFitLine(points.mat, dist_type, param, reps, aeps, r));
int dimension;
if (strcmp("opencv-matrix", cvTypeOf(points.mat)->type_name) == 0)
dimension = CV_MAT_CN(cvGetElemType(points.mat));
else {
// sequence case... don't think there is a sequence of 3d points,
// so assume 2D
dimension = 2;
}
if (dimension == 2)
return Py_BuildValue("dddd", r[0], r[1], r[2], r[3]);
else
return Py_BuildValue("dddddd", r[0], r[1], r[2], r[3], r[4], r[5]);
}
static PyObject *pycvGetMinMaxHistValue(PyObject *self, PyObject *args)
{
CvHistogram* hist;
PyObject *pyobj_hist = NULL;
float min_val;
float max_val;
int min_loc[CV_MAX_DIM];
int max_loc[CV_MAX_DIM];
if (!PyArg_ParseTuple(args, "O", &pyobj_hist))
return NULL;
if (!convert_to_CvHistogram(pyobj_hist, &hist, "hist")) return NULL;
ERRWRAP(cvGetMinMaxHistValue(hist, &min_val, &max_val, min_loc, max_loc));
int d = cvGetDims(hist->bins);
PyObject *pminloc = PyTuple_New(d), *pmaxloc = PyTuple_New(d);
for (int i = 0; i < d; i++) {
PyTuple_SetItem(pminloc, i, PyInt_FromLong(min_loc[i]));
PyTuple_SetItem(pmaxloc, i, PyInt_FromLong(max_loc[i]));
}
return Py_BuildValue("ffNN", min_val, max_val, pminloc, pmaxloc);
}
static CvSeq* cvHOGDetectMultiScale( const CvArr* image, CvMemStorage* storage,
const CvArr* svm_classifier=NULL, CvSize win_stride=cvSize(0,0),
double hit_threshold=0, double scale=1.05,
int group_threshold=2, CvSize padding=cvSize(0,0),
CvSize win_size=cvSize(64,128), CvSize block_size=cvSize(16,16),
CvSize block_stride=cvSize(8,8), CvSize cell_size=cvSize(8,8),
int nbins=9, int gammaCorrection=1 )
{
cv::HOGDescriptor hog(win_size, block_size, block_stride, cell_size, nbins, 1, -1, cv::HOGDescriptor::L2Hys, 0.2, gammaCorrection!=0);
if(win_stride.width == 0 && win_stride.height == 0)
win_stride = block_stride;
cv::Mat img = cv::cvarrToMat(image);
std::vector<cv::Rect> found;
if(svm_classifier)
{
CvMat stub, *m = cvGetMat(svm_classifier, &stub);
int sz = m->cols*m->rows;
CV_Assert(CV_IS_MAT_CONT(m->type) && (m->cols == 1 || m->rows == 1) && CV_MAT_TYPE(m->type) == CV_32FC1);
std::vector<float> w(sz);
std::copy(m->data.fl, m->data.fl + sz, w.begin());
hog.setSVMDetector(w);
}
else
hog.setSVMDetector(cv::HOGDescriptor::getDefaultPeopleDetector());
hog.detectMultiScale(img, found, hit_threshold, win_stride, padding, scale, group_threshold);
CvSeq* seq = cvCreateSeq(cv::DataType<cv::Rect>::type, sizeof(CvSeq), sizeof(cv::Rect), storage);
if(found.size())
cvSeqPushMulti(seq, &found[0], (int)found.size());
return seq;
}
static int zero = 0;
/************************************************************************/
/* Custom Validators */
#define CVPY_VALIDATE_DrawChessboardCorners() do { \
if ((patternSize.width * patternSize.height) != corners.count) \
return (PyObject*)failmsg("Size is %dx%d, but corner list is length %d", patternSize.width, patternSize.height, corners.count); \
} while (0)
#define cvGetRotationMatrix2D cv2DRotationMatrix
/************************************************************************/
/* Generated functions */
#define constCvMat const CvMat
#define FROM_constCvMatPTR(x) FROM_CvMatPTR((CvMat*)x)
#define cvSnakeImage(image, points, length, a, b, g, win, criteria, calc_gradient) \
do { \
int coeff_usage; \
if ((alpha.count == 1) && (beta.count == 1) && (gamma.count == 1)) \
coeff_usage = CV_VALUE; \
else if ((length == alpha.count) && (alpha.count == beta.count) && (beta.count == gamma.count)) \
coeff_usage = CV_ARRAY; \
else \
return (PyObject*)failmsg("SnakeImage weights invalid"); \
cvSnakeImage(image, points, length, a, b, g, coeff_usage, win, criteria, calc_gradient); \
} while (0)
#include "generated0.i"
static PyMethodDef methods[] = {
#if PYTHON_USE_NUMPY
{"fromarray", (PyCFunction)pycvfromarray, METH_KEYWORDS, "fromarray(array) -> cvmatnd"},
#endif
//{"CalcOpticalFlowFarneback", (PyCFunction)pycvCalcOpticalFlowFarneback, METH_KEYWORDS, "CalcOpticalFlowFarneback(prev, next, flow, pyr_scale=0.5, levels=3, win_size=15, iterations=3, poly_n=7, poly_sigma=1.5, flags=0) -> None"},
//{"_HOGComputeDescriptors", (PyCFunction)pycvHOGComputeDescriptors, METH_KEYWORDS, "_HOGComputeDescriptors(image, win_stride=block_stride, locations=None, padding=(0,0), win_size=(64,128), block_size=(16,16), block_stride=(8,8), cell_size=(8,8), nbins=9, gammaCorrection=true) -> list_of_descriptors"},
//{"_HOGDetect", (PyCFunction)pycvHOGDetect, METH_KEYWORDS, "_HOGDetect(image, svm_classifier, win_stride=block_stride, locations=None, padding=(0,0), win_size=(64,128), block_size=(16,16), block_stride=(8,8), cell_size=(8,8), nbins=9, gammaCorrection=true) -> list_of_points"},
//{"_HOGDetectMultiScale", (PyCFunction)pycvHOGDetectMultiScale, METH_KEYWORDS, "_HOGDetectMultiScale(image, svm_classifier, win_stride=block_stride, scale=1.05, group_threshold=2, padding=(0,0), win_size=(64,128), block_size=(16,16), block_stride=(8,8), cell_size=(8,8), nbins=9, gammaCorrection=true) -> list_of_points"},
{"temp_test", temp_test, METH_VARARGS},
#include "generated1.i"
{NULL, NULL},
};
/************************************************************************/
/* Module init */
static int to_ok(PyTypeObject *to)
{
to->tp_alloc = PyType_GenericAlloc;
to->tp_new = PyType_GenericNew;
to->tp_flags = Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE;
return (PyType_Ready(to) == 0);
}
#define MKTYPE(NAME) do { NAME##_specials(); if (!to_ok(&NAME##_Type)) return; } while (0)
extern "C"
#if defined WIN32 || defined _WIN32
__declspec(dllexport)
#endif
void initcv()
{
PyObject *m, *d;
cvSetErrMode(CV_ErrModeParent);
MKTYPE(cvcontourtree);
MKTYPE(cvfont);
MKTYPE(cvhistogram);
MKTYPE(cvlineiterator);
MKTYPE(cvmat);
MKTYPE(cvmatnd);
MKTYPE(cvmemstorage);
MKTYPE(cvsubdiv2dedge);
MKTYPE(cvrng);
MKTYPE(cvseq);
MKTYPE(cvset);
MKTYPE(cvsubdiv2d);
MKTYPE(cvsubdiv2dpoint);
MKTYPE(iplimage);
MKTYPE(memtrack);
#include "generated4.i"
m = Py_InitModule(MODULESTR"", methods);
d = PyModule_GetDict(m);
PyDict_SetItemString(d, "__version__", PyString_FromString("$Rev: 3057 $"));
opencv_error = PyErr_NewException((char*)MODULESTR".error", NULL, NULL);
PyDict_SetItemString(d, "error", opencv_error);
// Couple of warnings about strict aliasing here. Not clear how to fix.
union {
PyObject *o;
PyTypeObject *to;
} convert;
convert.to = &iplimage_Type;
PyDict_SetItemString(d, "iplimage", convert.o);
convert.to = &cvmat_Type;
PyDict_SetItemString(d, "cvmat", convert.o);
#define PUBLISH(I) PyDict_SetItemString(d, #I, PyInt_FromLong(I))
#define PUBLISHU(I) PyDict_SetItemString(d, #I, PyLong_FromUnsignedLong(I))
PUBLISHU(IPL_DEPTH_8U);
PUBLISHU(IPL_DEPTH_8S);
PUBLISHU(IPL_DEPTH_16U);
PUBLISHU(IPL_DEPTH_16S);
PUBLISHU(IPL_DEPTH_32S);
PUBLISHU(IPL_DEPTH_32F);
PUBLISHU(IPL_DEPTH_64F);
PUBLISH(CV_LOAD_IMAGE_COLOR);
PUBLISH(CV_LOAD_IMAGE_GRAYSCALE);
PUBLISH(CV_LOAD_IMAGE_UNCHANGED);
PUBLISH(CV_HIST_ARRAY);
PUBLISH(CV_HIST_SPARSE);
PUBLISH(CV_8U);
PUBLISH(CV_8UC1);
PUBLISH(CV_8UC2);
PUBLISH(CV_8UC3);
PUBLISH(CV_8UC4);
PUBLISH(CV_8S);
PUBLISH(CV_8SC1);
PUBLISH(CV_8SC2);
PUBLISH(CV_8SC3);
PUBLISH(CV_8SC4);
PUBLISH(CV_16U);
PUBLISH(CV_16UC1);
PUBLISH(CV_16UC2);
PUBLISH(CV_16UC3);
PUBLISH(CV_16UC4);
PUBLISH(CV_16S);
PUBLISH(CV_16SC1);
PUBLISH(CV_16SC2);
PUBLISH(CV_16SC3);
PUBLISH(CV_16SC4);
PUBLISH(CV_32S);
PUBLISH(CV_32SC1);
PUBLISH(CV_32SC2);
PUBLISH(CV_32SC3);
PUBLISH(CV_32SC4);
PUBLISH(CV_32F);
PUBLISH(CV_32FC1);
PUBLISH(CV_32FC2);
PUBLISH(CV_32FC3);
PUBLISH(CV_32FC4);
PUBLISH(CV_64F);
PUBLISH(CV_64FC1);
PUBLISH(CV_64FC2);
PUBLISH(CV_64FC3);
PUBLISH(CV_64FC4);
PUBLISH(CV_NEXT_AROUND_ORG);
PUBLISH(CV_NEXT_AROUND_DST);
PUBLISH(CV_PREV_AROUND_ORG);
PUBLISH(CV_PREV_AROUND_DST);
PUBLISH(CV_NEXT_AROUND_LEFT);
PUBLISH(CV_NEXT_AROUND_RIGHT);
PUBLISH(CV_PREV_AROUND_LEFT);
PUBLISH(CV_PREV_AROUND_RIGHT);
PUBLISH(CV_WINDOW_AUTOSIZE);
PUBLISH(CV_PTLOC_INSIDE);
PUBLISH(CV_PTLOC_ON_EDGE);
PUBLISH(CV_PTLOC_VERTEX);
PUBLISH(CV_PTLOC_OUTSIDE_RECT);
#include "generated2.i"
#if 0
{
int sizes[] = { 10 } ;
float ranges[] = { 0.0, 1.0 };
// CvHistogram*h = cvCreateHist(1, sizes, CV_HIST_ARRAY);
CvHistogram H;
float data[10];
CvHistogram*h = cvMakeHistHeaderForArray(1, sizes, &H, data);
printf("h->type = %08x\n", h->type);
printf("h->bins = %p\n", h->bins);
printf("h->mat = %p\n", &(h->mat));
}
#endif
}
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