calcHist python wrapper

pyopencv_generated_funcs.h

static PyObject* pyopencv_cv_calcHist(PyObject* , PyObject* py_args, PyObject* kw)
{
    using namespace cv;

    pyPrepareArgumentConversionErrorsStorage(2);

    {
    PyObject* pyobj_images = NULL;
    vector_Mat images;
    PyObject* pyobj_channels = NULL;
    vector_int channels;
    PyObject* pyobj_mask = NULL;
    Mat mask;
    PyObject* pyobj_hist = NULL;
    Mat hist;
    PyObject* pyobj_histSize = NULL;
    vector_int histSize;
    PyObject* pyobj_ranges = NULL;
    vector_float ranges;
    PyObject* pyobj_accumulate = NULL;
    bool accumulate=false;

    const char* keywords[] = { "images", "channels", "mask", "histSize", "ranges", "hist", "accumulate", NULL };
    if( PyArg_ParseTupleAndKeywords(py_args, kw, "OOOOO|OO:calcHist", (char**)keywords, &pyobj_images, &pyobj_channels, &pyobj_mask, &pyobj_histSize, &pyobj_ranges, &pyobj_hist, &pyobj_accumulate) &&
        pyopencv_to_safe(pyobj_images, images, ArgInfo("images", 0)) &&
        pyopencv_to_safe(pyobj_channels, channels, ArgInfo("channels", 0)) &&
        pyopencv_to_safe(pyobj_mask, mask, ArgInfo("mask", 0)) &&
        pyopencv_to_safe(pyobj_hist, hist, ArgInfo("hist", 1)) &&
        pyopencv_to_safe(pyobj_histSize, histSize, ArgInfo("histSize", 0)) &&
        pyopencv_to_safe(pyobj_ranges, ranges, ArgInfo("ranges", 0)) &&
        pyopencv_to_safe(pyobj_accumulate, accumulate, ArgInfo("accumulate", 0)) )
    {
        ERRWRAP2(cv::calcHist(images, channels, mask, hist, histSize, ranges, accumulate));
        return pyopencv_from(hist);
    }


        pyPopulateArgumentConversionErrors();
    }
    

    {
    PyObject* pyobj_images = NULL;
    vector_UMat images;
    PyObject* pyobj_channels = NULL;
    vector_int channels;
    PyObject* pyobj_mask = NULL;
    UMat mask;
    PyObject* pyobj_hist = NULL;
    UMat hist;
    PyObject* pyobj_histSize = NULL;
    vector_int histSize;
    PyObject* pyobj_ranges = NULL;
    vector_float ranges;
    PyObject* pyobj_accumulate = NULL;
    bool accumulate=false;

    const char* keywords[] = { "images", "channels", "mask", "histSize", "ranges", "hist", "accumulate", NULL };
    if( PyArg_ParseTupleAndKeywords(py_args, kw, "OOOOO|OO:calcHist", (char**)keywords, &pyobj_images, &pyobj_channels, &pyobj_mask, &pyobj_histSize, &pyobj_ranges, &pyobj_hist, &pyobj_accumulate) &&
        pyopencv_to_safe(pyobj_images, images, ArgInfo("images", 0)) &&
        pyopencv_to_safe(pyobj_channels, channels, ArgInfo("channels", 0)) &&
        pyopencv_to_safe(pyobj_mask, mask, ArgInfo("mask", 0)) &&
        pyopencv_to_safe(pyobj_hist, hist, ArgInfo("hist", 1)) &&
        pyopencv_to_safe(pyobj_histSize, histSize, ArgInfo("histSize", 0)) &&
        pyopencv_to_safe(pyobj_ranges, ranges, ArgInfo("ranges", 0)) &&
        pyopencv_to_safe(pyobj_accumulate, accumulate, ArgInfo("accumulate", 0)) )
    {
        ERRWRAP2(cv::calcHist(images, channels, mask, hist, histSize, ranges, accumulate));
        return pyopencv_from(hist);
    }


        pyPopulateArgumentConversionErrors();
    }
    pyRaiseCVOverloadException("calcHist");

    return NULL;
}