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https://github.com/opencv/opencv.git
synced 2025-06-11 11:45:30 +08:00
Add stateful kernel to python G-API
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@ -31,17 +31,26 @@ struct GPythonContext
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const cv::GArgs &ins;
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const cv::GMetaArgs &in_metas;
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const cv::GTypesInfo &out_info;
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bool m_isStateful;
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GArg m_state;
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};
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using Impl = std::function<cv::GRunArgs(const GPythonContext&)>;
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using Setup = std::function<cv::GArg(const GMetaArgs&, const GArgs&)>;
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class GAPI_EXPORTS GPythonKernel
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{
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public:
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GPythonKernel() = default;
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GPythonKernel(Impl run);
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GPythonKernel(Impl run, Setup setup);
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cv::GRunArgs operator()(const GPythonContext& ctx);
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bool m_isStateful = false;
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Setup m_setup = nullptr;
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private:
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Impl m_run;
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};
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@ -51,7 +60,8 @@ class GAPI_EXPORTS GPythonFunctor : public cv::gapi::GFunctor
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public:
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using Meta = cv::GKernel::M;
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GPythonFunctor(const char* id, const Meta &meta, const Impl& impl);
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GPythonFunctor(const char* id, const Meta& meta, const Impl& impl,
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const Setup& setup = nullptr);
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GKernelImpl impl() const override;
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gapi::GBackend backend() const override;
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@ -660,7 +660,7 @@ static cv::GRunArgs run_py_kernel(cv::detail::PyObjectHolder kernel,
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// NB: Doesn't increase reference counter (false),
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// because PyObject already have ownership.
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// In case exception decrement reference counter.
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cv::detail::PyObjectHolder args(PyTuple_New(ins.size()), false);
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cv::detail::PyObjectHolder args(PyTuple_New(ctx.m_isStateful ? ins.size() + 1: ins.size()), false);
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for (size_t i = 0; i < ins.size(); ++i)
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{
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// NB: If meta is monostate then object isn't associated with G-TYPE.
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@ -690,6 +690,12 @@ static cv::GRunArgs run_py_kernel(cv::detail::PyObjectHolder kernel,
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}
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++in_idx;
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}
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if (ctx.m_isStateful)
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{
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PyTuple_SetItem(args.get(), ins.size(), pyopencv_from(ctx.m_state));
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}
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// NB: Doesn't increase reference counter (false).
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// In case PyObject_CallObject return NULL, do nothing in destructor.
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cv::detail::PyObjectHolder result(
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@ -736,6 +742,80 @@ static cv::GRunArgs run_py_kernel(cv::detail::PyObjectHolder kernel,
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return outs;
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}
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static cv::GArg setup_py(cv::detail::PyObjectHolder out_meta, const cv::GMetaArgs& meta,
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const cv::GArgs& gargs)
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{
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PyGILState_STATE gstate;
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gstate = PyGILState_Ensure();
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cv::GArg out;
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try
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{
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// NB: Doesn't increase reference counter (false),
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// because PyObject already have ownership.
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// In case exception decrement reference counter.
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cv::detail::PyObjectHolder args(PyTuple_New(meta.size()), false);
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size_t idx = 0;
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for (auto&& m : meta)
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{
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switch (m.index())
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{
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case cv::GMetaArg::index_of<cv::GMatDesc>():
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PyTuple_SetItem(args.get(), idx, pyopencv_from(cv::util::get<cv::GMatDesc>(m)));
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break;
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case cv::GMetaArg::index_of<cv::GScalarDesc>():
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PyTuple_SetItem(args.get(), idx,
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pyopencv_from(cv::util::get<cv::GScalarDesc>(m)));
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break;
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case cv::GMetaArg::index_of<cv::GArrayDesc>():
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PyTuple_SetItem(args.get(), idx,
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pyopencv_from(cv::util::get<cv::GArrayDesc>(m)));
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break;
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case cv::GMetaArg::index_of<cv::GOpaqueDesc>():
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PyTuple_SetItem(args.get(), idx,
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pyopencv_from(cv::util::get<cv::GOpaqueDesc>(m)));
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break;
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case cv::GMetaArg::index_of<cv::util::monostate>():
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PyTuple_SetItem(args.get(), idx, pyopencv_from(gargs[idx]));
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break;
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case cv::GMetaArg::index_of<cv::GFrameDesc>():
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util::throw_error(
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std::logic_error("GFrame isn't supported for custom operation"));
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break;
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}
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++idx;
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}
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// PyTuple_SetItem(args.get(), idx, pyopencv_from(gmarg));
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// NB: Doesn't increase reference counter (false).
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// In case PyObject_CallObject return NULL, do nothing in destructor.
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cv::detail::PyObjectHolder result(PyObject_CallObject(out_meta.get(), args.get()), false);
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if (PyErr_Occurred())
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{
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PyErr_PrintEx(0);
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PyErr_Clear();
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throw std::logic_error("Python kernel failed with error!");
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}
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// NB: In fact it's impossible situation, because errors were handled above.
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GAPI_Assert(result.get() && "Python kernel returned NULL!");
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if (!pyopencv_to(result.get(), out, ArgInfo("arg", false)))
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{
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util::throw_error(std::logic_error("Unsupported output meta type"));
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}
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}
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catch (...)
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{
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PyGILState_Release(gstate);
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throw;
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}
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PyGILState_Release(gstate);
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return out;
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}
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static GMetaArg get_meta_arg(PyObject* obj)
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{
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cv::GMetaArg arg;
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@ -860,6 +940,10 @@ static PyObject* pyopencv_cv_gapi_kernels(PyObject* , PyObject* py_args, PyObjec
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"Python kernel should contain run, please use cv.gapi.kernel to define kernel");
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return NULL;
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}
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PyObject* setup = nullptr;
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if (PyObject_HasAttrString(user_kernel, "setup")) {
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setup = PyObject_GetAttrString(user_kernel, "setup");
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}
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std::string id;
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if (!pyopencv_to(id_obj, id, ArgInfo("id", false)))
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@ -869,10 +953,22 @@ static PyObject* pyopencv_cv_gapi_kernels(PyObject* , PyObject* py_args, PyObjec
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}
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using namespace std::placeholders;
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gapi::python::GPythonFunctor f(id.c_str(),
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std::bind(run_py_meta , cv::detail::PyObjectHolder{out_meta}, _1, _2),
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std::bind(run_py_kernel, cv::detail::PyObjectHolder{run} , _1));
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pkg.include(f);
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if (setup)
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{
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gapi::python::GPythonFunctor f(
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id.c_str(), std::bind(run_py_meta, cv::detail::PyObjectHolder{out_meta}, _1, _2),
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std::bind(run_py_kernel, cv::detail::PyObjectHolder{run}, _1),
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std::bind(setup_py, cv::detail::PyObjectHolder{setup}, _1, _2));
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pkg.include(f);
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}
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else
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{
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gapi::python::GPythonFunctor f(
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id.c_str(), std::bind(run_py_meta, cv::detail::PyObjectHolder{out_meta}, _1, _2),
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std::bind(run_py_kernel, cv::detail::PyObjectHolder{run}, _1));
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pkg.include(f);
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}
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}
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return pyopencv_from(pkg);
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}
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@ -6,15 +6,19 @@
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#include <ade/util/zip_range.hpp> // zip_range, indexed
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#include "compiler/gmodel.hpp"
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#include <opencv2/gapi/garg.hpp>
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#include <opencv2/gapi/util/throw.hpp> // throw_error
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#include <opencv2/gapi/python/python.hpp>
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#include "api/gbackend_priv.hpp"
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#include "backends/common/gbackend.hpp"
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cv::gapi::python::GPythonKernel::GPythonKernel(cv::gapi::python::Impl run)
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: m_run(run)
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cv::gapi::python::GPythonKernel::GPythonKernel(cv::gapi::python::Impl run,
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cv::gapi::python::Setup setup)
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: m_run(run), m_setup(setup)
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{
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m_isStateful = (setup != nullptr);
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}
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cv::GRunArgs cv::gapi::python::GPythonKernel::operator()(const cv::gapi::python::GPythonContext& ctx)
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@ -23,9 +27,10 @@ cv::GRunArgs cv::gapi::python::GPythonKernel::operator()(const cv::gapi::python:
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}
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cv::gapi::python::GPythonFunctor::GPythonFunctor(const char* id,
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const cv::gapi::python::GPythonFunctor::Meta &meta,
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const cv::gapi::python::Impl& impl)
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: gapi::GFunctor(id), impl_{GPythonKernel{impl}, meta}
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const cv::gapi::python::GPythonFunctor::Meta& meta,
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const cv::gapi::python::Impl& impl,
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const cv::gapi::python::Setup& setup)
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: gapi::GFunctor(id), impl_{GPythonKernel{impl, setup}, meta}
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{
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}
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@ -68,6 +73,7 @@ class GPythonExecutable final: public cv::gimpl::GIslandExecutable
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virtual cv::RMat allocate(const cv::GMatDesc&) const override { return {}; }
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virtual bool canReshape() const override { return true; }
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virtual void handleNewStream() override;
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virtual void reshape(ade::Graph&, const cv::GCompileArgs&) override {
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// Do nothing here
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}
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@ -80,6 +86,7 @@ public:
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cv::gimpl::GModel::ConstGraph m_gm;
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cv::gapi::python::GPythonKernel m_kernel;
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ade::NodeHandle m_op;
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cv::GArg m_node_state;
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cv::GTypesInfo m_out_info;
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cv::GMetaArgs m_in_metas;
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@ -153,6 +160,15 @@ static void writeBack(cv::GRunArg& arg, cv::GRunArgP& out)
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}
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}
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void GPythonExecutable::handleNewStream()
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{
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if (!m_kernel.m_isStateful)
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return;
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m_node_state = m_kernel.m_setup(cv::gimpl::GModel::collectInputMeta(m_gm, m_op),
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m_gm.metadata(m_op).get<cv::gimpl::Op>().args);
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}
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void GPythonExecutable::run(std::vector<InObj> &&input_objs,
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std::vector<OutObj> &&output_objs)
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{
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@ -165,8 +181,15 @@ void GPythonExecutable::run(std::vector<InObj> &&input_objs,
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std::back_inserter(inputs),
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std::bind(&packArg, std::ref(m_res), _1));
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cv::gapi::python::GPythonContext ctx{inputs, m_in_metas, m_out_info, false};
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// For stateful kernel add state to its execution context
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if (m_kernel.m_isStateful)
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{
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ctx.m_state = m_node_state;
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ctx.m_isStateful = true;
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}
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cv::gapi::python::GPythonContext ctx{inputs, m_in_metas, m_out_info};
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auto outs = m_kernel(ctx);
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for (auto&& it : ade::util::zip(outs, output_objs))
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@ -225,6 +248,12 @@ GPythonExecutable::GPythonExecutable(const ade::Graph& g,
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m_op = *it;
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m_kernel = cag.metadata(m_op).get<PythonUnit>().kernel;
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// If kernel is stateful then prepare storage for its state.
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if (m_kernel.m_isStateful)
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{
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m_node_state = cv::GArg{ };
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}
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// Ensure this the only op in the graph
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if (std::any_of(it+1, nodes.end(), is_op))
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{
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