未验证 提交 c527b3ce 编写于 作者: A Anatoliy Talamanov 提交者: GitHub

Merge pull request #19319 from TolyaTalamanov:at/introduce-gopaque-garray-for-python

[G-API] Introduce GOpaque and GArray for python

* Introduce GOpaque and GArray for python

* Fix ctor

* Avoid code duplication by using macros

* gapi: move Python-specific files to misc/python

* Fix windows build
Co-authored-by: NAlexander Alekhin <alexander.a.alekhin@gmail.com>
上级 8fa01330
// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
//
// Copyright (C) 2021 Intel Corporation
#ifndef OPENCV_GAPI_PYTHON_BRIDGE_HPP
#define OPENCV_GAPI_PYTHON_BRIDGE_HPP
#include <opencv2/gapi.hpp>
#include <opencv2/gapi/garg.hpp>
#include <opencv2/gapi/gopaque.hpp>
#define ID(T, E) T
#define ID_(T, E) ID(T, E),
#define WRAP_ARGS(T, E, G) \
G(T, E)
#define SWITCH(type, LIST_G, HC) \
switch(type) { \
LIST_G(HC, HC) \
default: \
GAPI_Assert(false && "Unsupported type"); \
}
#define GARRAY_TYPE_LIST_G(G, G2) \
WRAP_ARGS(bool , cv::gapi::ArgType::CV_BOOL, G) \
WRAP_ARGS(int , cv::gapi::ArgType::CV_INT, G) \
WRAP_ARGS(double , cv::gapi::ArgType::CV_DOUBLE, G) \
WRAP_ARGS(float , cv::gapi::ArgType::CV_FLOAT, G) \
WRAP_ARGS(std::string , cv::gapi::ArgType::CV_STRING, G) \
WRAP_ARGS(cv::Point , cv::gapi::ArgType::CV_POINT, G) \
WRAP_ARGS(cv::Point2f , cv::gapi::ArgType::CV_POINT2F, G) \
WRAP_ARGS(cv::Size , cv::gapi::ArgType::CV_SIZE, G) \
WRAP_ARGS(cv::Rect , cv::gapi::ArgType::CV_RECT, G) \
WRAP_ARGS(cv::Scalar , cv::gapi::ArgType::CV_SCALAR, G) \
WRAP_ARGS(cv::Mat , cv::gapi::ArgType::CV_MAT, G) \
WRAP_ARGS(cv::GMat , cv::gapi::ArgType::CV_GMAT, G2)
#define GOPAQUE_TYPE_LIST_G(G, G2) \
WRAP_ARGS(bool , cv::gapi::ArgType::CV_BOOL, G) \
WRAP_ARGS(int , cv::gapi::ArgType::CV_INT, G) \
WRAP_ARGS(double , cv::gapi::ArgType::CV_DOUBLE, G) \
WRAP_ARGS(float , cv::gapi::ArgType::CV_FLOAT, G) \
WRAP_ARGS(std::string , cv::gapi::ArgType::CV_STRING, G) \
WRAP_ARGS(cv::Point , cv::gapi::ArgType::CV_POINT, G) \
WRAP_ARGS(cv::Point2f , cv::gapi::ArgType::CV_POINT2F, G) \
WRAP_ARGS(cv::Size , cv::gapi::ArgType::CV_SIZE, G) \
WRAP_ARGS(cv::Rect , cv::gapi::ArgType::CV_RECT, G2) \
namespace cv {
namespace gapi {
// NB: cv.gapi.CV_BOOL in python
enum ArgType {
CV_BOOL,
CV_INT,
CV_DOUBLE,
CV_FLOAT,
CV_STRING,
CV_POINT,
CV_POINT2F,
CV_SIZE,
CV_RECT,
CV_SCALAR,
CV_MAT,
CV_GMAT,
};
} // namespace gapi
namespace detail {
template <template <typename> class Wrapper, typename T>
struct WrapType { using type = Wrapper<T>; };
template <template <typename> class T, typename... Types>
using MakeVariantType = cv::util::variant<typename WrapType<T, Types>::type...>;
template<typename T> struct ArgTypeTraits;
#define DEFINE_TYPE_TRAITS(T, E) \
template <> \
struct ArgTypeTraits<T> { \
static constexpr const cv::gapi::ArgType type = E; \
}; \
GARRAY_TYPE_LIST_G(DEFINE_TYPE_TRAITS, DEFINE_TYPE_TRAITS)
} // namespace detail
class GAPI_EXPORTS_W_SIMPLE GOpaqueT
{
public:
using Storage = cv::detail::MakeVariantType<cv::GOpaque, GOPAQUE_TYPE_LIST_G(ID_, ID)>;
template<typename T>
GOpaqueT(cv::GOpaque<T> arg) : m_type(cv::detail::ArgTypeTraits<T>::type), m_arg(arg) { };
GAPI_WRAP GOpaqueT(gapi::ArgType type) : m_type(type)
{
#define HC(T, K) case K: \
m_arg = cv::GOpaque<T>(); \
break;
SWITCH(type, GOPAQUE_TYPE_LIST_G, HC)
#undef HC
}
cv::detail::GOpaqueU strip() {
#define HC(T, K) case Storage:: index_of<cv::GOpaque<T>>(): \
return cv::util::get<cv::GOpaque<T>>(m_arg).strip(); \
SWITCH(m_arg.index(), GOPAQUE_TYPE_LIST_G, HC)
#undef HC
GAPI_Assert(false);
}
GAPI_WRAP gapi::ArgType type() { return m_type; }
private:
gapi::ArgType m_type;
Storage m_arg;
};
class GAPI_EXPORTS_W_SIMPLE GArrayT
{
public:
using Storage = cv::detail::MakeVariantType<cv::GArray, GARRAY_TYPE_LIST_G(ID_, ID)>;
template<typename T>
GArrayT(cv::GArray<T> arg) : m_type(cv::detail::ArgTypeTraits<T>::type), m_arg(arg) { };
GAPI_WRAP GArrayT(gapi::ArgType type) : m_type(type)
{
#define HC(T, K) case K: \
m_arg = cv::GArray<T>(); \
break;
SWITCH(type, GARRAY_TYPE_LIST_G, HC)
#undef HC
}
cv::detail::GArrayU strip() {
#define HC(T, K) case Storage:: index_of<cv::GArray<T>>(): \
return cv::util::get<cv::GArray<T>>(m_arg).strip(); \
SWITCH(m_arg.index(), GARRAY_TYPE_LIST_G, HC)
#undef HC
GAPI_Assert(false);
}
GAPI_WRAP gapi::ArgType type() { return m_type; }
private:
gapi::ArgType m_type;
Storage m_arg;
};
} // namespace cv
#endif // OPENCV_GAPI_PYTHON_BRIDGE_HPP
#!/usr/bin/env python
import numpy as np
import cv2 as cv
import os
from tests_common import NewOpenCVTests
class gapi_types_test(NewOpenCVTests):
def test_garray_type(self):
types = [cv.gapi.CV_BOOL , cv.gapi.CV_INT , cv.gapi.CV_DOUBLE , cv.gapi.CV_FLOAT,
cv.gapi.CV_STRING, cv.gapi.CV_POINT , cv.gapi.CV_POINT2F, cv.gapi.CV_SIZE ,
cv.gapi.CV_RECT , cv.gapi.CV_SCALAR, cv.gapi.CV_MAT , cv.gapi.CV_GMAT]
for t in types:
g_array = cv.GArrayT(t)
self.assertEqual(t, g_array.type())
def test_gopaque_type(self):
types = [cv.gapi.CV_BOOL , cv.gapi.CV_INT , cv.gapi.CV_DOUBLE , cv.gapi.CV_FLOAT,
cv.gapi.CV_STRING, cv.gapi.CV_POINT , cv.gapi.CV_POINT2F, cv.gapi.CV_SIZE ,
cv.gapi.CV_RECT]
for t in types:
g_opaque = cv.GOpaqueT(t)
self.assertEqual(t, g_opaque.type())
if __name__ == '__main__':
NewOpenCVTests.bootstrap()
......@@ -26,6 +26,12 @@ foreach(m ${OPENCV_PYTHON_MODULES})
list(APPEND opencv_hdrs "${hdr}")
endif()
endforeach()
# both wrapping and C++ implementation
file(GLOB hdr2 ${OPENCV_MODULE_${m}_LOCATION}/misc/python/python_*.hpp)
list(APPEND opencv_hdrs ${hdr2})
list(APPEND opencv_userdef_hdrs ${hdr2})
file(GLOB hdr ${OPENCV_MODULE_${m}_LOCATION}/misc/python/shadow*.hpp)
list(APPEND opencv_hdrs ${hdr})
file(GLOB userdef_hdrs ${OPENCV_MODULE_${m}_LOCATION}/misc/python/pyopencv*.hpp)
......
......@@ -1020,8 +1020,14 @@ class PythonWrapperGenerator(object):
decls = self.parser.parse(hdr)
if len(decls) == 0:
continue
if hdr.find('opencv2/') >= 0: #Avoid including the shadow files
self.code_include.write( '#include "{0}"\n'.format(hdr[hdr.rindex('opencv2/'):]) )
if hdr.find('misc/python/shadow_') < 0: # Avoid including the "shadow_" files
if hdr.find('opencv2/') >= 0:
# put relative path
self.code_include.write('#include "{0}"\n'.format(hdr[hdr.rindex('opencv2/'):]))
else:
self.code_include.write('#include "{0}"\n'.format(hdr))
for decl in decls:
name = decl[0]
if name.startswith("struct") or name.startswith("class"):
......
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