mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
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1107 lines
30 KiB
1107 lines
30 KiB
#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/photo/photo.hpp" |
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#include "opencv2/highgui/highgui.hpp" |
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#include "opencv2/opencv_modules.hpp" |
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#ifdef HAVE_OPENCV_NONFREE |
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#include "opencv2/nonfree/nonfree.hpp" |
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static bool makeUseOfNonfree = cv::initModule_nonfree(); |
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#endif |
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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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class PyAllowThreads |
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{ |
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public: |
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PyAllowThreads() : _state(PyEval_SaveThread()) {} |
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~PyAllowThreads() |
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{ |
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PyEval_RestoreThread(_state); |
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} |
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private: |
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PyThreadState* _state; |
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}; |
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#define ERRWRAP2(expr) \ |
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try \ |
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{ \ |
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PyAllowThreads allowThreads; \ |
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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<string> vector_string; |
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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<Algorithm> Ptr_Algorithm; |
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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 SimpleBlobDetector::Params SimpleBlobDetector_Params; |
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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 != (size_t)-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(uchar 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, uchar& 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 ivalue = (int)PyInt_AsLong(obj); |
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value = cv::saturate_cast<uchar>(ivalue); |
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return ivalue != -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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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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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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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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} |
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static inline PyObject* pyopencv_from(const Point2d& 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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template<typename _Tp> struct pyopencvVecConverter |
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{ |
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static bool to(PyObject* obj, vector<_Tp>& value, const char* name="<unknown>") |
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{ |
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typedef typename DataType<_Tp>::channel_type _Cp; |
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if(!obj || obj == Py_None) |
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return true; |
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if (PyArray_Check(obj)) |
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{ |
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Mat m; |
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pyopencv_to(obj, m, name); |
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m.copyTo(value); |
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} |
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if (!PySequence_Check(obj)) |
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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); |
|
} |
|
}; |
|
|
|
template<> struct pyopencvVecConverter<string> |
|
{ |
|
static bool to(PyObject* obj, vector<string>& value, const char* name="<unknown>") |
|
{ |
|
return pyopencv_to_generic_vec(obj, value, name); |
|
} |
|
|
|
static PyObject* from(const vector<string>& 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(CV_VERSION)); |
|
|
|
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" |
|
} |
|
|
|
|