1056 lines
29 KiB
C++
1056 lines
29 KiB
C++
#include <Python.h>
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#if !PYTHON_USE_NUMPY
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#error "The module can only be built if NumPy is available"
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#endif
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#define MODULESTR "cv2"
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#include "numpy/ndarrayobject.h"
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#include "opencv2/core/core.hpp"
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#include "opencv2/flann/miniflann.hpp"
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#include "opencv2/imgproc/imgproc.hpp"
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#include "opencv2/calib3d/calib3d.hpp"
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#include "opencv2/ml/ml.hpp"
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#include "opencv2/features2d/features2d.hpp"
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#include "opencv2/objdetect/objdetect.hpp"
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#include "opencv2/video/tracking.hpp"
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#include "opencv2/video/background_segm.hpp"
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#include "opencv2/highgui/highgui.hpp"
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using cv::flann::IndexParams;
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using cv::flann::SearchParams;
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static PyObject* opencv_error = 0;
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static int failmsg(const char *fmt, ...)
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{
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char str[1000];
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va_list ap;
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va_start(ap, fmt);
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vsnprintf(str, sizeof(str), fmt, ap);
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va_end(ap);
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PyErr_SetString(PyExc_TypeError, str);
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return 0;
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}
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#define ERRWRAP2(expr) \
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try \
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{ \
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expr; \
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} \
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catch (const cv::Exception &e) \
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{ \
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PyErr_SetString(opencv_error, e.what()); \
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return 0; \
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}
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using namespace cv;
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typedef vector<uchar> vector_uchar;
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typedef vector<int> vector_int;
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typedef vector<float> vector_float;
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typedef vector<double> vector_double;
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typedef vector<Point> vector_Point;
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typedef vector<Point2f> vector_Point2f;
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typedef vector<Vec2f> vector_Vec2f;
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typedef vector<Vec3f> vector_Vec3f;
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typedef vector<Vec4f> vector_Vec4f;
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typedef vector<Vec6f> vector_Vec6f;
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typedef vector<Vec4i> vector_Vec4i;
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typedef vector<Rect> vector_Rect;
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typedef vector<KeyPoint> vector_KeyPoint;
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typedef vector<Mat> vector_Mat;
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typedef vector<DMatch> vector_DMatch;
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typedef vector<vector<Point> > vector_vector_Point;
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typedef vector<vector<Point2f> > vector_vector_Point2f;
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typedef vector<vector<Point3f> > vector_vector_Point3f;
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typedef vector<vector<DMatch> > vector_vector_DMatch;
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typedef Ptr<FeatureDetector> Ptr_FeatureDetector;
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typedef Ptr<DescriptorExtractor> Ptr_DescriptorExtractor;
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typedef Ptr<DescriptorMatcher> Ptr_DescriptorMatcher;
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typedef cvflann::flann_distance_t cvflann_flann_distance_t;
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typedef cvflann::flann_algorithm_t cvflann_flann_algorithm_t;
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typedef Ptr<flann::IndexParams> Ptr_flann_IndexParams;
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typedef Ptr<flann::SearchParams> Ptr_flann_SearchParams;
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static PyObject* failmsgp(const char *fmt, ...)
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{
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char str[1000];
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va_list ap;
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va_start(ap, fmt);
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vsnprintf(str, sizeof(str), fmt, ap);
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va_end(ap);
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PyErr_SetString(PyExc_TypeError, str);
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return 0;
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}
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static size_t REFCOUNT_OFFSET = (size_t)&(((PyObject*)0)->ob_refcnt) +
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(0x12345678 != *(const size_t*)"\x78\x56\x34\x12\0\0\0\0\0")*sizeof(int);
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static inline PyObject* pyObjectFromRefcount(const int* refcount)
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{
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return (PyObject*)((size_t)refcount - REFCOUNT_OFFSET);
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}
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static inline int* refcountFromPyObject(const PyObject* obj)
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{
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return (int*)((size_t)obj + REFCOUNT_OFFSET);
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}
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class NumpyAllocator : public MatAllocator
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{
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public:
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NumpyAllocator() {}
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~NumpyAllocator() {}
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void allocate(int dims, const int* sizes, int type, int*& refcount,
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uchar*& datastart, uchar*& data, size_t* step)
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{
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int depth = CV_MAT_DEPTH(type);
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int cn = CV_MAT_CN(type);
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const int f = (int)(sizeof(size_t)/8);
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int typenum = depth == CV_8U ? NPY_UBYTE : depth == CV_8S ? NPY_BYTE :
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depth == CV_16U ? NPY_USHORT : depth == CV_16S ? NPY_SHORT :
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depth == CV_32S ? NPY_INT : depth == CV_32F ? NPY_FLOAT :
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depth == CV_64F ? NPY_DOUBLE : f*NPY_ULONGLONG + (f^1)*NPY_UINT;
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int i;
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npy_intp _sizes[CV_MAX_DIM+1];
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for( i = 0; i < dims; i++ )
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_sizes[i] = sizes[i];
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if( cn > 1 )
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{
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/*if( _sizes[dims-1] == 1 )
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_sizes[dims-1] = cn;
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else*/
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_sizes[dims++] = cn;
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}
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PyObject* o = PyArray_SimpleNew(dims, _sizes, typenum);
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if(!o)
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CV_Error_(CV_StsError, ("The numpy array of typenum=%d, ndims=%d can not be created", typenum, dims));
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refcount = refcountFromPyObject(o);
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npy_intp* _strides = PyArray_STRIDES(o);
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for( i = 0; i < dims - (cn > 1); i++ )
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step[i] = (size_t)_strides[i];
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datastart = data = (uchar*)PyArray_DATA(o);
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}
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void deallocate(int* refcount, uchar* datastart, uchar* data)
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{
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if( !refcount )
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return;
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PyObject* o = pyObjectFromRefcount(refcount);
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Py_INCREF(o);
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Py_DECREF(o);
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}
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};
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NumpyAllocator g_numpyAllocator;
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enum { ARG_NONE = 0, ARG_MAT = 1, ARG_SCALAR = 2 };
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static int pyopencv_to(const PyObject* o, Mat& m, const char* name = "<unknown>", bool allowND=true)
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{
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if(!o || o == Py_None)
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{
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if( !m.data )
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m.allocator = &g_numpyAllocator;
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return true;
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}
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if( !PyArray_Check(o) )
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{
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failmsg("%s is not a numpy array", name);
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return false;
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}
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int typenum = PyArray_TYPE(o);
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int type = typenum == NPY_UBYTE ? CV_8U : typenum == NPY_BYTE ? CV_8S :
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typenum == NPY_USHORT ? CV_16U : typenum == NPY_SHORT ? CV_16S :
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typenum == NPY_INT || typenum == NPY_LONG ? CV_32S :
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typenum == NPY_FLOAT ? CV_32F :
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typenum == NPY_DOUBLE ? CV_64F : -1;
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if( type < 0 )
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{
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failmsg("%s data type = %d is not supported", name, typenum);
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return false;
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}
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int ndims = PyArray_NDIM(o);
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if(ndims >= CV_MAX_DIM)
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{
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failmsg("%s dimensionality (=%d) is too high", name, ndims);
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return false;
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}
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int size[CV_MAX_DIM+1];
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size_t step[CV_MAX_DIM+1], elemsize = CV_ELEM_SIZE1(type);
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const npy_intp* _sizes = PyArray_DIMS(o);
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const npy_intp* _strides = PyArray_STRIDES(o);
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bool transposed = false;
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for(int i = 0; i < ndims; i++)
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{
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size[i] = (int)_sizes[i];
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step[i] = (size_t)_strides[i];
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}
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if( ndims == 0 || step[ndims-1] > elemsize ) {
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size[ndims] = 1;
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step[ndims] = elemsize;
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ndims++;
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}
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if( ndims >= 2 && step[0] < step[1] )
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{
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std::swap(size[0], size[1]);
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std::swap(step[0], step[1]);
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transposed = true;
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}
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if( ndims == 3 && size[2] <= CV_CN_MAX && step[1] == elemsize*size[2] )
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{
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ndims--;
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type |= CV_MAKETYPE(0, size[2]);
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}
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if( ndims > 2 && !allowND )
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{
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failmsg("%s has more than 2 dimensions", name);
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return false;
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}
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m = Mat(ndims, size, type, PyArray_DATA(o), step);
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if( m.data )
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{
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m.refcount = refcountFromPyObject(o);
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m.addref(); // protect the original numpy array from deallocation
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// (since Mat destructor will decrement the reference counter)
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};
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m.allocator = &g_numpyAllocator;
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if( transposed )
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{
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Mat tmp;
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tmp.allocator = &g_numpyAllocator;
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transpose(m, tmp);
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m = tmp;
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}
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return true;
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}
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static PyObject* pyopencv_from(const Mat& m)
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{
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if( !m.data )
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Py_RETURN_NONE;
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Mat temp, *p = (Mat*)&m;
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if(!p->refcount || p->allocator != &g_numpyAllocator)
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{
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temp.allocator = &g_numpyAllocator;
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m.copyTo(temp);
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p = &temp;
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}
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p->addref();
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return pyObjectFromRefcount(p->refcount);
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}
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static bool pyopencv_to(PyObject *o, Scalar& s, const char *name = "<unknown>")
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{
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if(!o || o == Py_None)
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return true;
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if (PySequence_Check(o)) {
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PyObject *fi = PySequence_Fast(o, name);
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if (fi == NULL)
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return false;
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if (4 < PySequence_Fast_GET_SIZE(fi))
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{
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failmsg("Scalar value for argument '%s' is longer than 4", name);
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return false;
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}
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for (Py_ssize_t i = 0; i < PySequence_Fast_GET_SIZE(fi); i++) {
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PyObject *item = PySequence_Fast_GET_ITEM(fi, i);
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if (PyFloat_Check(item) || PyInt_Check(item)) {
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s[(int)i] = PyFloat_AsDouble(item);
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} else {
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failmsg("Scalar value for argument '%s' is not numeric", name);
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return false;
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}
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}
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Py_DECREF(fi);
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} else {
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if (PyFloat_Check(o) || PyInt_Check(o)) {
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s[0] = PyFloat_AsDouble(o);
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} else {
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failmsg("Scalar value for argument '%s' is not numeric", name);
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return false;
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}
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}
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return true;
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}
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static inline PyObject* pyopencv_from(const Scalar& src)
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{
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return Py_BuildValue("(dddd)", src[0], src[1], src[2], src[3]);
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}
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static PyObject* pyopencv_from(bool value)
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{
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return PyBool_FromLong(value);
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}
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static bool pyopencv_to(PyObject* obj, bool& value, const char* name = "<unknown>")
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{
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if(!obj || obj == Py_None)
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return true;
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int _val = PyObject_IsTrue(obj);
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if(_val < 0)
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return false;
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value = _val > 0;
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return true;
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}
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static PyObject* pyopencv_from(size_t value)
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{
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return PyLong_FromUnsignedLong((unsigned long)value);
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}
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static bool pyopencv_to(PyObject* obj, size_t& value, const char* name = "<unknown>")
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{
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if(!obj || obj == Py_None)
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return true;
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value = (int)PyLong_AsUnsignedLong(obj);
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return value != -1 || !PyErr_Occurred();
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}
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static PyObject* pyopencv_from(int value)
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{
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return PyInt_FromLong(value);
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}
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static bool pyopencv_to(PyObject* obj, int& value, const char* name = "<unknown>")
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{
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if(!obj || obj == Py_None)
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return true;
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value = (int)PyInt_AsLong(obj);
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return value != -1 || !PyErr_Occurred();
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}
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static PyObject* pyopencv_from(double value)
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{
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return PyFloat_FromDouble(value);
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}
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static bool pyopencv_to(PyObject* obj, double& value, const char* name = "<unknown>")
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{
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if(!obj || obj == Py_None)
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return true;
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if(PyInt_CheckExact(obj))
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value = (double)PyInt_AS_LONG(obj);
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else
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value = PyFloat_AsDouble(obj);
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return !PyErr_Occurred();
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}
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static PyObject* pyopencv_from(float value)
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{
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return PyFloat_FromDouble(value);
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}
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static bool pyopencv_to(PyObject* obj, float& value, const char* name = "<unknown>")
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{
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if(!obj || obj == Py_None)
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return true;
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if(PyInt_CheckExact(obj))
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value = (float)PyInt_AS_LONG(obj);
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else
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value = (float)PyFloat_AsDouble(obj);
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return !PyErr_Occurred();
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}
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static PyObject* pyopencv_from(int64 value)
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{
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return PyFloat_FromDouble((double)value);
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}
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static PyObject* pyopencv_from(const string& value)
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{
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return PyString_FromString(value.empty() ? "" : value.c_str());
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}
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static bool pyopencv_to(PyObject* obj, string& value, const char* name = "<unknown>")
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{
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if(!obj || obj == Py_None)
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return true;
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char* str = PyString_AsString(obj);
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if(!str)
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return false;
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value = string(str);
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return true;
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}
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static inline bool pyopencv_to(PyObject* obj, Size& sz, const char* name = "<unknown>")
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{
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if(!obj || obj == Py_None)
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return true;
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return PyArg_ParseTuple(obj, "ii", &sz.width, &sz.height) > 0;
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}
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static inline PyObject* pyopencv_from(const Size& sz)
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{
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return Py_BuildValue("(ii)", sz.width, sz.height);
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}
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static inline bool pyopencv_to(PyObject* obj, Rect& r, const char* name = "<unknown>")
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{
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if(!obj || obj == Py_None)
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return true;
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return PyArg_ParseTuple(obj, "iiii", &r.x, &r.y, &r.width, &r.height) > 0;
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}
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static inline PyObject* pyopencv_from(const Rect& r)
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{
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return Py_BuildValue("(iiii)", r.x, r.y, r.width, r.height);
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}
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static inline bool pyopencv_to(PyObject* obj, Range& r, const char* name = "<unknown>")
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{
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if(!obj || obj == Py_None)
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return true;
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if(PyObject_Size(obj) == 0)
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{
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r = Range::all();
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return true;
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}
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return PyArg_ParseTuple(obj, "ii", &r.start, &r.end) > 0;
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}
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static inline PyObject* pyopencv_from(const Range& r)
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{
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return Py_BuildValue("(ii)", r.start, r.end);
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}
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static inline bool pyopencv_to(PyObject* obj, CvSlice& r, const char* name = "<unknown>")
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{
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if(!obj || obj == Py_None)
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return true;
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if(PyObject_Size(obj) == 0)
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{
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r = CV_WHOLE_SEQ;
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return true;
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}
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return PyArg_ParseTuple(obj, "ii", &r.start_index, &r.end_index) > 0;
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}
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static inline PyObject* pyopencv_from(const CvSlice& r)
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{
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return Py_BuildValue("(ii)", r.start_index, r.end_index);
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}
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static inline bool pyopencv_to(PyObject* obj, Point& p, const char* name = "<unknown>")
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{
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if(!obj || obj == Py_None)
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return true;
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if(PyComplex_CheckExact(obj))
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{
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Py_complex c = PyComplex_AsCComplex(obj);
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p.x = saturate_cast<int>(c.real);
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p.y = saturate_cast<int>(c.imag);
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return true;
|
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}
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return PyArg_ParseTuple(obj, "ii", &p.x, &p.y) > 0;
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}
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static inline bool pyopencv_to(PyObject* obj, Point2f& p, const char* name = "<unknown>")
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{
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if(!obj || obj == Py_None)
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return true;
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if(PyComplex_CheckExact(obj))
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{
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Py_complex c = PyComplex_AsCComplex(obj);
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p.x = saturate_cast<float>(c.real);
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p.y = saturate_cast<float>(c.imag);
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return true;
|
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}
|
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return PyArg_ParseTuple(obj, "ff", &p.x, &p.y) > 0;
|
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}
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static inline PyObject* pyopencv_from(const Point& p)
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{
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return Py_BuildValue("(ii)", p.x, p.y);
|
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}
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|
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static inline PyObject* pyopencv_from(const Point2f& p)
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{
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return Py_BuildValue("(dd)", p.x, p.y);
|
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}
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|
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static inline bool pyopencv_to(PyObject* obj, Vec3d& v, const char* name = "<unknown>")
|
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{
|
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if(!obj)
|
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return true;
|
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return PyArg_ParseTuple(obj, "ddd", &v[0], &v[1], &v[2]) > 0;
|
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}
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|
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static inline PyObject* pyopencv_from(const Vec3d& v)
|
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{
|
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return Py_BuildValue("(ddd)", v[0], v[1], v[2]);
|
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}
|
|
|
|
static inline PyObject* pyopencv_from(const Point2d& p)
|
|
{
|
|
return Py_BuildValue("(dd)", p.x, p.y);
|
|
}
|
|
|
|
template<typename _Tp> struct pyopencvVecConverter
|
|
{
|
|
static bool to(PyObject* obj, vector<_Tp>& value, const char* name="<unknown>")
|
|
{
|
|
typedef typename DataType<_Tp>::channel_type _Cp;
|
|
if(!obj || obj == Py_None)
|
|
return true;
|
|
if (PyArray_Check(obj))
|
|
{
|
|
Mat m;
|
|
pyopencv_to(obj, m, name);
|
|
m.copyTo(value);
|
|
}
|
|
if (!PySequence_Check(obj))
|
|
return false;
|
|
PyObject *seq = PySequence_Fast(obj, name);
|
|
if (seq == NULL)
|
|
return false;
|
|
int i, j, n = (int)PySequence_Fast_GET_SIZE(seq);
|
|
value.resize(n);
|
|
|
|
int type = DataType<_Tp>::type;
|
|
int depth = CV_MAT_DEPTH(type), channels = CV_MAT_CN(type);
|
|
PyObject** items = PySequence_Fast_ITEMS(seq);
|
|
|
|
for( i = 0; i < n; i++ )
|
|
{
|
|
PyObject* item = items[i];
|
|
PyObject* seq_i = 0;
|
|
PyObject** items_i = &item;
|
|
_Cp* data = (_Cp*)&value[i];
|
|
|
|
if( channels == 2 && PyComplex_CheckExact(item) )
|
|
{
|
|
Py_complex c = PyComplex_AsCComplex(obj);
|
|
data[0] = saturate_cast<_Cp>(c.real);
|
|
data[1] = saturate_cast<_Cp>(c.imag);
|
|
continue;
|
|
}
|
|
if( channels > 1 )
|
|
{
|
|
if( PyArray_Check(item))
|
|
{
|
|
Mat src;
|
|
pyopencv_to(item, src, name);
|
|
if( src.dims != 2 || src.channels() != 1 ||
|
|
((src.cols != 1 || src.rows != channels) &&
|
|
(src.cols != channels || src.rows != 1)))
|
|
break;
|
|
Mat dst(src.rows, src.cols, depth, data);
|
|
src.convertTo(dst, type);
|
|
if( dst.data != (uchar*)data )
|
|
break;
|
|
continue;
|
|
}
|
|
|
|
seq_i = PySequence_Fast(item, name);
|
|
if( !seq_i || (int)PySequence_Fast_GET_SIZE(seq_i) != channels )
|
|
{
|
|
Py_XDECREF(seq_i);
|
|
break;
|
|
}
|
|
items_i = PySequence_Fast_ITEMS(seq_i);
|
|
}
|
|
|
|
for( j = 0; j < channels; j++ )
|
|
{
|
|
PyObject* item_ij = items_i[j];
|
|
if( PyInt_Check(item_ij))
|
|
{
|
|
int v = PyInt_AsLong(item_ij);
|
|
if( v == -1 && PyErr_Occurred() )
|
|
break;
|
|
data[j] = saturate_cast<_Cp>(v);
|
|
}
|
|
else if( PyFloat_Check(item_ij))
|
|
{
|
|
double v = PyFloat_AsDouble(item_ij);
|
|
if( PyErr_Occurred() )
|
|
break;
|
|
data[j] = saturate_cast<_Cp>(v);
|
|
}
|
|
else
|
|
break;
|
|
}
|
|
Py_XDECREF(seq_i);
|
|
if( j < channels )
|
|
break;
|
|
}
|
|
Py_DECREF(seq);
|
|
return i == n;
|
|
}
|
|
|
|
static PyObject* from(const vector<_Tp>& value)
|
|
{
|
|
if(value.empty())
|
|
return PyTuple_New(0);
|
|
Mat src((int)value.size(), DataType<_Tp>::channels, DataType<_Tp>::depth, (uchar*)&value[0]);
|
|
return pyopencv_from(src);
|
|
}
|
|
};
|
|
|
|
|
|
template<typename _Tp> static inline bool pyopencv_to(PyObject* obj, vector<_Tp>& value, const char* name="<unknown>")
|
|
{
|
|
return pyopencvVecConverter<_Tp>::to(obj, value, name);
|
|
}
|
|
|
|
template<typename _Tp> static inline PyObject* pyopencv_from(const vector<_Tp>& value)
|
|
{
|
|
return pyopencvVecConverter<_Tp>::from(value);
|
|
}
|
|
|
|
static PyObject* pyopencv_from(const KeyPoint&);
|
|
static PyObject* pyopencv_from(const DMatch&);
|
|
|
|
template<typename _Tp> static inline bool pyopencv_to_generic_vec(PyObject* obj, vector<_Tp>& value, const char* name="<unknown>")
|
|
{
|
|
if(!obj || obj == Py_None)
|
|
return true;
|
|
if (!PySequence_Check(obj))
|
|
return false;
|
|
PyObject *seq = PySequence_Fast(obj, name);
|
|
if (seq == NULL)
|
|
return false;
|
|
int i, n = (int)PySequence_Fast_GET_SIZE(seq);
|
|
value.resize(n);
|
|
|
|
PyObject** items = PySequence_Fast_ITEMS(seq);
|
|
|
|
for( i = 0; i < n; i++ )
|
|
{
|
|
PyObject* item = items[i];
|
|
if(!pyopencv_to(item, value[i], name))
|
|
break;
|
|
}
|
|
Py_DECREF(seq);
|
|
return i == n;
|
|
}
|
|
|
|
template<typename _Tp> static inline PyObject* pyopencv_from_generic_vec(const vector<_Tp>& value)
|
|
{
|
|
int i, n = (int)value.size();
|
|
PyObject* seq = PyList_New(n);
|
|
for( i = 0; i < n; i++ )
|
|
{
|
|
PyObject* item = pyopencv_from(value[i]);
|
|
if(!item)
|
|
break;
|
|
PyList_SET_ITEM(seq, i, item);
|
|
}
|
|
if( i < n )
|
|
{
|
|
Py_DECREF(seq);
|
|
return 0;
|
|
}
|
|
return seq;
|
|
}
|
|
|
|
|
|
template<typename _Tp> struct pyopencvVecConverter<vector<_Tp> >
|
|
{
|
|
static bool to(PyObject* obj, vector<vector<_Tp> >& value, const char* name="<unknown>")
|
|
{
|
|
return pyopencv_to_generic_vec(obj, value, name);
|
|
}
|
|
|
|
static PyObject* from(const vector<vector<_Tp> >& value)
|
|
{
|
|
return pyopencv_from_generic_vec(value);
|
|
}
|
|
};
|
|
|
|
template<> struct pyopencvVecConverter<Mat>
|
|
{
|
|
static bool to(PyObject* obj, vector<Mat>& value, const char* name="<unknown>")
|
|
{
|
|
return pyopencv_to_generic_vec(obj, value, name);
|
|
}
|
|
|
|
static PyObject* from(const vector<Mat>& value)
|
|
{
|
|
return pyopencv_from_generic_vec(value);
|
|
}
|
|
};
|
|
|
|
template<> struct pyopencvVecConverter<KeyPoint>
|
|
{
|
|
static bool to(PyObject* obj, vector<KeyPoint>& value, const char* name="<unknown>")
|
|
{
|
|
return pyopencv_to_generic_vec(obj, value, name);
|
|
}
|
|
|
|
static PyObject* from(const vector<KeyPoint>& value)
|
|
{
|
|
return pyopencv_from_generic_vec(value);
|
|
}
|
|
};
|
|
|
|
template<> struct pyopencvVecConverter<DMatch>
|
|
{
|
|
static bool to(PyObject* obj, vector<DMatch>& value, const char* name="<unknown>")
|
|
{
|
|
return pyopencv_to_generic_vec(obj, value, name);
|
|
}
|
|
|
|
static PyObject* from(const vector<DMatch>& value)
|
|
{
|
|
return pyopencv_from_generic_vec(value);
|
|
}
|
|
};
|
|
|
|
|
|
static inline bool pyopencv_to(PyObject *obj, CvTermCriteria& dst, const char *name="<unknown>")
|
|
{
|
|
if(!obj)
|
|
return true;
|
|
return PyArg_ParseTuple(obj, "iid", &dst.type, &dst.max_iter, &dst.epsilon) > 0;
|
|
}
|
|
|
|
static inline PyObject* pyopencv_from(const CvTermCriteria& src)
|
|
{
|
|
return Py_BuildValue("(iid)", src.type, src.max_iter, src.epsilon);
|
|
}
|
|
|
|
static inline bool pyopencv_to(PyObject *obj, TermCriteria& dst, const char *name="<unknown>")
|
|
{
|
|
if(!obj)
|
|
return true;
|
|
return PyArg_ParseTuple(obj, "iid", &dst.type, &dst.maxCount, &dst.epsilon) > 0;
|
|
}
|
|
|
|
static inline PyObject* pyopencv_from(const TermCriteria& src)
|
|
{
|
|
return Py_BuildValue("(iid)", src.type, src.maxCount, src.epsilon);
|
|
}
|
|
|
|
static inline bool pyopencv_to(PyObject *obj, RotatedRect& dst, const char *name="<unknown>")
|
|
{
|
|
if(!obj)
|
|
return true;
|
|
return PyArg_ParseTuple(obj, "(ff)(ff)f", &dst.center.x, &dst.center.y, &dst.size.width, &dst.size.height, &dst.angle) > 0;
|
|
}
|
|
|
|
static inline PyObject* pyopencv_from(const RotatedRect& src)
|
|
{
|
|
return Py_BuildValue("((ff)(ff)f)", src.center.x, src.center.y, src.size.width, src.size.height, src.angle);
|
|
}
|
|
|
|
static inline PyObject* pyopencv_from(const Moments& m)
|
|
{
|
|
return Py_BuildValue("{s:d,s:d,s:d,s:d,s:d,s:d,s:d,s:d,s:d,s:d,s:d,s:d,s:d,s:d,s:d,s:d,s:d,s:d,s:d,s:d,s:d,s:d,s:d,s:d}",
|
|
"m00", m.m00, "m10", m.m10, "m01", m.m01,
|
|
"m20", m.m20, "m11", m.m11, "m02", m.m02,
|
|
"m30", m.m30, "m21", m.m21, "m12", m.m12, "m03", m.m03,
|
|
"mu20", m.mu20, "mu11", m.mu11, "mu02", m.mu02,
|
|
"mu30", m.mu30, "mu21", m.mu21, "mu12", m.mu12, "mu03", m.mu03,
|
|
"nu20", m.nu20, "nu11", m.nu11, "nu02", m.nu02,
|
|
"nu30", m.nu30, "nu21", m.nu21, "nu12", m.nu12, "mu03", m.nu03);
|
|
}
|
|
|
|
static inline PyObject* pyopencv_from(const CvDTreeNode* node)
|
|
{
|
|
double value = node->value;
|
|
int ivalue = cvRound(value);
|
|
return value == ivalue ? PyInt_FromLong(ivalue) : PyFloat_FromDouble(value);
|
|
}
|
|
|
|
static bool pyopencv_to(PyObject *o, cv::flann::IndexParams& p, const char *name="<unknown>")
|
|
{
|
|
bool ok = false;
|
|
PyObject* keys = PyObject_CallMethod(o,(char*)"keys",0);
|
|
PyObject* values = PyObject_CallMethod(o,(char*)"values",0);
|
|
|
|
if( keys && values )
|
|
{
|
|
int i, n = (int)PyList_GET_SIZE(keys);
|
|
for( i = 0; i < n; i++ )
|
|
{
|
|
PyObject* key = PyList_GET_ITEM(keys, i);
|
|
PyObject* item = PyList_GET_ITEM(values, i);
|
|
if( !PyString_Check(key) )
|
|
break;
|
|
std::string k = PyString_AsString(key);
|
|
if( PyString_Check(item) )
|
|
{
|
|
const char* value = PyString_AsString(item);
|
|
p.setString(k, value);
|
|
}
|
|
else if( PyBool_Check(item) )
|
|
p.setBool(k, item == Py_True);
|
|
else if( PyInt_Check(item) )
|
|
{
|
|
int value = (int)PyInt_AsLong(item);
|
|
if( strcmp(k.c_str(), "algorithm") == 0 )
|
|
p.setAlgorithm(value);
|
|
else
|
|
p.setInt(k, value);
|
|
}
|
|
else if( PyFloat_Check(item) )
|
|
{
|
|
double value = PyFloat_AsDouble(item);
|
|
p.setDouble(k, value);
|
|
}
|
|
else
|
|
break;
|
|
}
|
|
ok = i == n && !PyErr_Occurred();
|
|
}
|
|
|
|
Py_XDECREF(keys);
|
|
Py_XDECREF(values);
|
|
return ok;
|
|
}
|
|
|
|
template <class T>
|
|
static bool pyopencv_to(PyObject *o, Ptr<T>& p, const char *name="<unknown>")
|
|
{
|
|
p = new T();
|
|
return pyopencv_to(o, *p, name);
|
|
}
|
|
|
|
|
|
static bool pyopencv_to(PyObject *o, cvflann::flann_distance_t& dist, const char *name="<unknown>")
|
|
{
|
|
int d = (int)dist;
|
|
bool ok = pyopencv_to(o, d, name);
|
|
dist = (cvflann::flann_distance_t)d;
|
|
return ok;
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
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, ¶m))
|
|
return NULL;
|
|
if (!PyCallable_Check(on_mouse)) {
|
|
PyErr_SetString(PyExc_TypeError, "on_mouse must be callable");
|
|
return NULL;
|
|
}
|
|
if (param == NULL) {
|
|
param = Py_None;
|
|
}
|
|
ERRWRAP2(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;
|
|
}
|
|
ERRWRAP2(cvCreateTrackbar2(trackbar_name, window_name, value, count, OnChange, Py_BuildValue("OO", on_change, Py_None)));
|
|
Py_RETURN_NONE;
|
|
}
|
|
|
|
///////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
#define MKTYPE2(NAME) pyopencv_##NAME##_specials(); if (!to_ok(&pyopencv_##NAME##_Type)) return
|
|
|
|
#include "pyopencv_generated_types.h"
|
|
#include "pyopencv_generated_funcs.h"
|
|
|
|
static PyMethodDef methods[] = {
|
|
|
|
#include "pyopencv_generated_func_tab.h"
|
|
{"createTrackbar", pycvCreateTrackbar, METH_VARARGS, "createTrackbar(trackbarName, windowName, value, count, onChange) -> None"},
|
|
{"setMouseCallback", (PyCFunction)pycvSetMouseCallback, METH_KEYWORDS, "setMouseCallback(windowName, onMouse [, param]) -> None"},
|
|
{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);
|
|
}
|
|
|
|
#include "cv2.cv.hpp"
|
|
|
|
extern "C"
|
|
#if defined WIN32 || defined _WIN32
|
|
__declspec(dllexport)
|
|
#endif
|
|
|
|
void initcv2()
|
|
{
|
|
#if PYTHON_USE_NUMPY
|
|
import_array();
|
|
#endif
|
|
|
|
#if PYTHON_USE_NUMPY
|
|
#include "pyopencv_generated_type_reg.h"
|
|
#endif
|
|
|
|
PyObject* m = Py_InitModule(MODULESTR, methods);
|
|
PyObject* d = PyModule_GetDict(m);
|
|
|
|
PyDict_SetItemString(d, "__version__", PyString_FromString("$Rev: 4557 $"));
|
|
|
|
opencv_error = PyErr_NewException((char*)MODULESTR".error", NULL, NULL);
|
|
PyDict_SetItemString(d, "error", opencv_error);
|
|
|
|
PyObject* cv_m = init_cv();
|
|
|
|
PyDict_SetItemString(d, "cv", cv_m);
|
|
|
|
#define PUBLISH(I) PyDict_SetItemString(d, #I, PyInt_FromLong(I))
|
|
#define PUBLISHU(I) PyDict_SetItemString(d, #I, PyLong_FromUnsignedLong(I))
|
|
#define PUBLISH2(I, value) PyDict_SetItemString(d, #I, PyLong_FromLong(value))
|
|
|
|
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);
|
|
|
|
PUBLISH(GC_BGD);
|
|
PUBLISH(GC_FGD);
|
|
PUBLISH(GC_PR_BGD);
|
|
PUBLISH(GC_PR_FGD);
|
|
PUBLISH(GC_INIT_WITH_RECT);
|
|
PUBLISH(GC_INIT_WITH_MASK);
|
|
PUBLISH(GC_EVAL);
|
|
|
|
PUBLISH(CV_ROW_SAMPLE);
|
|
PUBLISH(CV_VAR_NUMERICAL);
|
|
PUBLISH(CV_VAR_ORDERED);
|
|
PUBLISH(CV_VAR_CATEGORICAL);
|
|
|
|
PUBLISH(CV_AA);
|
|
|
|
#include "pyopencv_generated_const_reg.h"
|
|
}
|
|
|