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mirror of https://github.com/opencv/opencv.git synced 2026-07-28 23:03:03 +04:00

Merge branch '4.x' into '5.x'

This commit is contained in:
Maksim Shabunin
2024-06-11 19:38:59 +03:00
573 changed files with 72922 additions and 7355 deletions
+5 -5
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@@ -56,7 +56,7 @@ bool pyopencv_to(PyObject* o, Mat& m, const ArgInfo& info)
if(!o || o == Py_None)
{
if( !m.data )
m.allocator = &g_numpyAllocator;
m.allocator = &GetNumpyAllocator();
return true;
}
@@ -298,14 +298,14 @@ bool pyopencv_to(PyObject* o, Mat& m, const ArgInfo& info)
#endif
m = Mat(ndims, size, type, PyArray_DATA(oarr), step);
m.u = g_numpyAllocator.allocate(o, ndims, size, type, step);
m.u = GetNumpyAllocator().allocate(o, ndims, size, type, step);
m.addref();
if( !needcopy )
{
Py_INCREF(o);
}
m.allocator = &g_numpyAllocator;
m.allocator = &GetNumpyAllocator();
return true;
}
@@ -316,9 +316,9 @@ PyObject* pyopencv_from(const cv::Mat& m)
if( !m.data )
Py_RETURN_NONE;
cv::Mat temp, *p = (cv::Mat*)&m;
if(!p->u || p->allocator != &g_numpyAllocator)
if(!p->u || p->allocator != &GetNumpyAllocator())
{
temp.allocator = &g_numpyAllocator;
temp.allocator = &GetNumpyAllocator();
ERRWRAP2(m.copyTo(temp));
p = &temp;
}
-2
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@@ -6,8 +6,6 @@
#include "cv2_numpy.hpp"
#include "cv2_util.hpp"
NumpyAllocator g_numpyAllocator;
using namespace cv;
UMatData* NumpyAllocator::allocate(PyObject* o, int dims, const int* sizes, int type, size_t* step) const
+1 -1
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@@ -18,7 +18,7 @@ public:
const cv::MatAllocator* stdAllocator;
};
extern NumpyAllocator g_numpyAllocator;
inline NumpyAllocator& GetNumpyAllocator() {static NumpyAllocator gNumpyAllocator;return gNumpyAllocator;}
//======================================================================================================================
+2 -2
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@@ -515,9 +515,9 @@ class CppHeaderParser(object):
if rettype == classname or rettype == "~" + classname:
rettype, funcname = "", rettype
else:
if bool(re.match('\w+\s+\(\*\w+\)\s*\(.*\)', decl_str)):
if bool(re.match(r'\w+\s+\(\*\w+\)\s*\(.*\)', decl_str)):
return [] # function typedef
elif bool(re.match('\w+\s+\(\w+::\*\w+\)\s*\(.*\)', decl_str)):
elif bool(re.match(r'\w+\s+\(\w+::\*\w+\)\s*\(.*\)', decl_str)):
return [] # class method typedef
elif bool(re.match('[A-Z_]+', decl_start)):
return [] # it seems to be a macro instantiation
@@ -325,6 +325,7 @@ def _find_argument_index(arguments: Sequence[FunctionNode.Arg],
NODES_TO_REFINE = {
SymbolName(("cv", ), (), "resize"): make_optional_arg("dsize"),
SymbolName(("cv", ), (), "calcHist"): make_optional_arg("mask"),
SymbolName(("cv", ), (), "floodFill"): make_optional_arg("mask"),
}
ERROR_CLASS_PROPERTIES = (
@@ -194,6 +194,13 @@ _PREDEFINED_TYPES = (
export_name="ExtractMetaCallback"
),
AliasTypeNode.class_("LayerId", "DictValue"),
AliasTypeNode.dict_("LayerParams",
key_type=PrimitiveTypeNode.str_(),
value_type=UnionTypeNode("DictValue", items=(
PrimitiveTypeNode.int_(),
PrimitiveTypeNode.float_(),
PrimitiveTypeNode.str_())
)),
PrimitiveTypeNode.int_("cvflann_flann_distance_t"),
PrimitiveTypeNode.int_("flann_flann_distance_t"),
PrimitiveTypeNode.int_("cvflann_flann_algorithm_t"),