mirror of
https://github.com/opencv/opencv_contrib.git
synced 2025-10-23 09:38:56 +08:00
3f5b465501
* the first commit in the merged dnn: convert some public API from Blob's to Mat's * temporarily or permantently removed OpenCL optimizations, which are not always stable nor usually very efficient; we'll likely use Halide instead * got rid of Blob and BlobShape completely; use cv::Mat and std::vector<int> instead * fixed a few compile errors * got rid of separate .hpp files with layer declarations; instead, put everything into the respective .cpp files * normalized all the layers' constructors; we concentrate on loading deep networks layers from files instead of constructing them from scratch, so we retained only SomeLayer::SomeLayer(const LayerParams& params); constructors * fixed sample compilation * suppress doxygen warnings * trying to fix python bindings generation for DNN module * temporarily disable python bindings while we refactor the module * fix win32/win64 compile errors; remove trailing whitespaces * fix win32/win64 compile errors; remove trailing whitespaces
30 lines
632 B
C++
30 lines
632 B
C++
#ifdef HAVE_OPENCV_DNN
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typedef dnn::DictValue LayerId;
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template<>
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bool pyopencv_to(PyObject *o, dnn::DictValue &dv, const char *name)
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{
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(void)name;
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if (!o || o == Py_None)
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return true; //Current state will be used
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else if (PyLong_Check(o))
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{
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dv = dnn::DictValue((int64)PyLong_AsLongLong(o));
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return true;
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}
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else if (PyFloat_Check(o))
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{
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dv = dnn::DictValue(PyFloat_AS_DOUBLE(o));
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return true;
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}
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else if (PyString_Check(o))
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{
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dv = dnn::DictValue(String(PyString_AsString(o)));
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return true;
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}
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else
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return false;
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}
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#endif
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