generic-library/opencv
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restore data matrix

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This commit is contained in:
James Bowman 2011-04-26 00:01:41 +00:00
parent 7735712732
commit 181de06445
1 changed files with 23 additions and 0 deletions
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23
modules/python/src/cv.cpp
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@ -3677,6 +3677,28 @@ static PyObject *pycvClipLine(PyObject *self, PyObject *args)
} }
} }
static PyObject *pyfinddatamatrix(PyObject *self, PyObject *args)
{
PyObject *pyim;
if (!PyArg_ParseTuple(args, "O", &pyim))
return NULL;
CvMat *image;
if (!convert_to_CvMat(pyim, &image, "image")) return NULL;
std::deque <DataMatrixCode> codes;
ERRWRAP(codes = cvFindDataMatrix(image));
PyObject *pycodes = PyList_New(codes.size());
int i;
for (i = 0; i < codes.size(); i++) {
DataMatrixCode *pc = &codes[i];
PyList_SetItem(pycodes, i, Py_BuildValue("(sOO)", pc->msg, FROM_CvMat(pc->corners), FROM_CvMat(pc->original)));
}
return pycodes;
}
static PyObject *temp_test(PyObject *self, PyObject *args) static PyObject *temp_test(PyObject *self, PyObject *args)
{ {
#if 0 #if 0
@ -3971,6 +3993,7 @@ static PyMethodDef methods[] = {
//{"_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"}, //{"_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"}, //{"_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"},
{"FindDataMatrix", pyfinddatamatrix, METH_VARARGS},
{"temp_test", temp_test, METH_VARARGS}, {"temp_test", temp_test, METH_VARARGS},
#include "generated1.i" #include "generated1.i"