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lavalava
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Remove indentation around 'imshow()' functions
The code had 1-2 extra levels of indentation.
1 parent de33a57 commit d283d47

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+65
-63
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1 file changed

+65
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‎matplotlibcpp.h

+65-63
Original file line numberDiff line numberDiff line change
@@ -589,77 +589,79 @@ bool hist(const std::vector<Numeric>& y, long bins=10,std::string color="b",
589589
}
590590

591591
#ifndef WITHOUT_NUMPY
592-
namespace internal {
593-
inline void imshow(void *ptr, const NPY_TYPES type, const int rows, const int columns, const int colors, const std::map<std::string, std::string> &keywords, PyObject** out)
594-
{
595-
assert(type == NPY_UINT8 || type == NPY_FLOAT);
596-
assert(colors == 1 || colors == 3 || colors == 4);
597-
598-
detail::_interpreter::get(); //interpreter needs to be initialized for the numpy commands to work
599-
600-
// construct args
601-
npy_intp dims[3] = { rows, columns, colors };
602-
PyObject *args = PyTuple_New(1);
603-
PyTuple_SetItem(args, 0, PyArray_SimpleNewFromData(colors == 1 ? 2 : 3, dims, type, ptr));
604-
605-
// construct keyword args
606-
PyObject* kwargs = PyDict_New();
607-
for(std::map<std::string, std::string>::const_iterator it = keywords.begin(); it != keywords.end(); ++it)
608-
{
609-
PyDict_SetItemString(kwargs, it->first.c_str(), PyUnicode_FromString(it->second.c_str()));
610-
}
611-
612-
PyObject *res = PyObject_Call(detail::_interpreter::get().s_python_function_imshow, args, kwargs);
613-
Py_DECREF(args);
614-
Py_DECREF(kwargs);
615-
if (!res)
616-
throw std::runtime_error("Call to imshow() failed");
617-
if (out)
618-
*out = res;
619-
else
620-
Py_DECREF(res);
621-
}
622-
}
592+
namespace internal {
623593

624-
inline void imshow(const unsigned char *ptr, const int rows, const int columns, const int colors, const std::map<std::string, std::string> &keywords = {}, PyObject** out = nullptr)
625-
{
626-
internal::imshow((void *) ptr, NPY_UINT8, rows, columns, colors, keywords, out);
627-
}
594+
inline void imshow(void *ptr, const NPY_TYPES type, const int rows, const int columns, const int colors, const std::map<std::string, std::string> &keywords, PyObject** out)
595+
{
596+
assert(type == NPY_UINT8 || type == NPY_FLOAT);
597+
assert(colors == 1 || colors == 3 || colors == 4);
598+
599+
detail::_interpreter::get(); //interpreter needs to be initialized for the numpy commands to work
628600

629-
inline void imshow(const float *ptr, const int rows, const int columns, const int colors, const std::map<std::string, std::string> &keywords = {}, PyObject** out = nullptr)
601+
// construct args
602+
npy_intp dims[3] = { rows, columns, colors };
603+
PyObject *args = PyTuple_New(1);
604+
PyTuple_SetItem(args, 0, PyArray_SimpleNewFromData(colors == 1 ? 2 : 3, dims, type, ptr));
605+
606+
// construct keyword args
607+
PyObject* kwargs = PyDict_New();
608+
for(std::map<std::string, std::string>::const_iterator it = keywords.begin(); it != keywords.end(); ++it)
630609
{
631-
internal::imshow((void *) ptr, NPY_FLOAT, rows, columns, colors, keywords, out);
610+
PyDict_SetItemString(kwargs, it->first.c_str(), PyUnicode_FromString(it->second.c_str()));
632611
}
633612

634-
#ifdef WITH_OPENCV
635-
void imshow(const cv::Mat &image, const std::map<std::string, std::string> &keywords = {})
636-
{
637-
// Convert underlying type of matrix, if needed
638-
cv::Mat image2;
639-
NPY_TYPES npy_type = NPY_UINT8;
640-
switch (image.type() & CV_MAT_DEPTH_MASK) {
641-
case CV_8U:
642-
image2 = image;
643-
break;
644-
case CV_32F:
645-
image2 = image;
646-
npy_type = NPY_FLOAT;
647-
break;
648-
default:
649-
image.convertTo(image2, CV_MAKETYPE(CV_8U, image.channels()));
650-
}
613+
PyObject *res = PyObject_Call(detail::_interpreter::get().s_python_function_imshow, args, kwargs);
614+
Py_DECREF(args);
615+
Py_DECREF(kwargs);
616+
if (!res)
617+
throw std::runtime_error("Call to imshow() failed");
618+
if (out)
619+
*out = res;
620+
else
621+
Py_DECREF(res);
622+
}
651623

652-
// If color image, convert from BGR to RGB
653-
switch (image2.channels()) {
654-
case 3:
655-
cv::cvtColor(image2, image2, CV_BGR2RGB);
656-
break;
657-
case 4:
658-
cv::cvtColor(image2, image2, CV_BGRA2RGBA);
659-
}
624+
} // namespace internal
625+
626+
inline void imshow(const unsigned char *ptr, const int rows, const int columns, const int colors, const std::map<std::string, std::string> &keywords = {}, PyObject** out = nullptr)
627+
{
628+
internal::imshow((void *) ptr, NPY_UINT8, rows, columns, colors, keywords, out);
629+
}
660630

661-
internal::imshow(image2.data, npy_type, image2.rows, image2.cols, image2.channels(), keywords);
631+
inline void imshow(const float *ptr, const int rows, const int columns, const int colors, const std::map<std::string, std::string> &keywords = {}, PyObject** out = nullptr)
632+
{
633+
internal::imshow((void *) ptr, NPY_FLOAT, rows, columns, colors, keywords, out);
634+
}
635+
636+
#ifdef WITH_OPENCV
637+
void imshow(const cv::Mat &image, const std::map<std::string, std::string> &keywords = {})
638+
{
639+
// Convert underlying type of matrix, if needed
640+
cv::Mat image2;
641+
NPY_TYPES npy_type = NPY_UINT8;
642+
switch (image.type() & CV_MAT_DEPTH_MASK) {
643+
case CV_8U:
644+
image2 = image;
645+
break;
646+
case CV_32F:
647+
image2 = image;
648+
npy_type = NPY_FLOAT;
649+
break;
650+
default:
651+
image.convertTo(image2, CV_MAKETYPE(CV_8U, image.channels()));
662652
}
653+
654+
// If color image, convert from BGR to RGB
655+
switch (image2.channels()) {
656+
case 3:
657+
cv::cvtColor(image2, image2, CV_BGR2RGB);
658+
break;
659+
case 4:
660+
cv::cvtColor(image2, image2, CV_BGRA2RGBA);
661+
}
662+
663+
internal::imshow(image2.data, npy_type, image2.rows, image2.cols, image2.channels(), keywords);
664+
}
663665
#endif // WITH_OPENCV
664666
#endif // WITHOUT_NUMPY
665667

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