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__all__ = [
"apply_manual_api_refinement"
]
from typing import cast, Sequence, Callable, Iterable
from .nodes import (NamespaceNode, FunctionNode, OptionalTypeNode, TypeNode,
ClassProperty, PrimitiveTypeNode, ASTNodeTypeNode,
AggregatedTypeNode, CallableTypeNode, AnyTypeNode,
TupleTypeNode, UnionTypeNode, ProtocolClassNode,
DictTypeNode, ClassTypeNode)
from .ast_utils import (find_function_node, SymbolName,
for_each_function_overload)
from .types_conversion import create_type_node
def apply_manual_api_refinement(root: NamespaceNode) -> None:
refine_highgui_module(root)
refine_cuda_module(root)
export_matrix_type_constants(root)
refine_dnn_module(root)
# Export OpenCV exception class
builtin_exception = root.add_class("Exception")
builtin_exception.is_exported = False
root.add_class("error", (builtin_exception, ), ERROR_CLASS_PROPERTIES)
for symbol_name, refine_symbol in NODES_TO_REFINE.items():
refine_symbol(root, symbol_name)
version_constant = root.add_constant("__version__", "<unused>")
version_constant._value_type = "str"
"""
def redirectError(
onError: Callable[[int, str, str, str, int], None] | None
) -> None: ...
"""
root.add_function("redirectError", [
FunctionNode.Arg(
"onError",
OptionalTypeNode(
CallableTypeNode(
"ErrorCallback",
[
PrimitiveTypeNode.int_(),
PrimitiveTypeNode.str_(),
PrimitiveTypeNode.str_(),
PrimitiveTypeNode.str_(),
PrimitiveTypeNode.int_()
]
)
)
)
])
def export_matrix_type_constants(root: NamespaceNode) -> None:
MAX_PREDEFINED_CHANNELS = 4
depth_names = ("CV_8U", "CV_8S", "CV_16U", "CV_16S", "CV_32S",
"CV_32F", "CV_64F", "CV_16F")
for depth_value, depth_name in enumerate(depth_names):
# Export depth constants
root.add_constant(depth_name, str(depth_value))
# Export predefined types
for c in range(MAX_PREDEFINED_CHANNELS):
root.add_constant(f"{depth_name}C{c + 1}",
f"{depth_value + 8 * c}")
# Export type creation function
root.add_function(
f"{depth_name}C",
(FunctionNode.Arg("channels", PrimitiveTypeNode.int_()), ),
FunctionNode.RetType(PrimitiveTypeNode.int_())
)
# Export CV_MAKETYPE
root.add_function(
"CV_MAKETYPE",
(FunctionNode.Arg("depth", PrimitiveTypeNode.int_()),
FunctionNode.Arg("channels", PrimitiveTypeNode.int_())),
FunctionNode.RetType(PrimitiveTypeNode.int_())
)
def make_optional_arg(arg_name: str) -> Callable[[NamespaceNode, SymbolName], None]:
def _make_optional_arg(root_node: NamespaceNode,
function_symbol_name: SymbolName) -> None:
function = find_function_node(root_node, function_symbol_name)
for overload in function.overloads:
arg_idx = _find_argument_index(overload.arguments, arg_name)
# Avoid multiplying optional qualification
if isinstance(overload.arguments[arg_idx].type_node, OptionalTypeNode):
continue
overload.arguments[arg_idx].type_node = OptionalTypeNode(
cast(TypeNode, overload.arguments[arg_idx].type_node)
)
return _make_optional_arg
def refine_cuda_module(root: NamespaceNode) -> None:
def fix_cudaoptflow_enums_names() -> None:
for class_name in ("NvidiaOpticalFlow_1_0", "NvidiaOpticalFlow_2_0"):
if class_name not in cuda_root.classes:
continue
opt_flow_class = cuda_root.classes[class_name]
_trim_class_name_from_argument_types(
for_each_function_overload(opt_flow_class), class_name
)
def fix_namespace_usage_scope(cuda_ns: NamespaceNode) -> None:
USED_TYPES = ("GpuMat", "Stream")
def fix_type_usage(type_node: TypeNode) -> None:
if isinstance(type_node, AggregatedTypeNode):
for item in type_node.items:
fix_type_usage(item)
if isinstance(type_node, ASTNodeTypeNode):
if type_node._typename in USED_TYPES:
type_node._typename = f"cuda_{type_node._typename}"
for overload in for_each_function_overload(cuda_ns):
if overload.return_type is not None:
fix_type_usage(overload.return_type.type_node)
for type_node in [arg.type_node for arg in overload.arguments
if arg.type_node is not None]:
fix_type_usage(type_node)
if "cuda" not in root.namespaces:
return
cuda_root = root.namespaces["cuda"]
fix_cudaoptflow_enums_names()
for ns in [ns for ns_name, ns in root.namespaces.items()
if ns_name.startswith("cuda")]:
fix_namespace_usage_scope(ns)
def refine_highgui_module(root: NamespaceNode) -> None:
# Check if library is built with enabled highgui module
if "destroyAllWindows" not in root.functions:
return
"""
def createTrackbar(trackbarName: str,
windowName: str,
value: int,
count: int,
onChange: Callable[[int], None]) -> None: ...
"""
root.add_function(
"createTrackbar",
[
FunctionNode.Arg("trackbarName", PrimitiveTypeNode.str_()),
FunctionNode.Arg("windowName", PrimitiveTypeNode.str_()),
FunctionNode.Arg("value", PrimitiveTypeNode.int_()),
FunctionNode.Arg("count", PrimitiveTypeNode.int_()),
FunctionNode.Arg("onChange",
CallableTypeNode("TrackbarCallback",
PrimitiveTypeNode.int_("int"))),
]
)
"""
def createButton(buttonName: str,
onChange: Callable[[tuple[int] | tuple[int, Any]], None],
userData: Any | None = ...,
buttonType: int = ...,
initialButtonState: int = ...) -> None: ...
"""
root.add_function(
"createButton",
[
FunctionNode.Arg("buttonName", PrimitiveTypeNode.str_()),
FunctionNode.Arg(
"onChange",
CallableTypeNode(
"ButtonCallback",
UnionTypeNode(
"onButtonChangeCallbackData",
[
TupleTypeNode("onButtonChangeCallbackData",
[PrimitiveTypeNode.int_(), ]),
TupleTypeNode("onButtonChangeCallbackData",
[PrimitiveTypeNode.int_(),
AnyTypeNode("void*")])
]
)
)),
FunctionNode.Arg("userData",
OptionalTypeNode(AnyTypeNode("void*")),
default_value="None"),
FunctionNode.Arg("buttonType", PrimitiveTypeNode.int_(),
default_value="0"),
FunctionNode.Arg("initialButtonState", PrimitiveTypeNode.int_(),
default_value="0")
]
)
"""
def setMouseCallback(
windowName: str,
onMouse: Callback[[int, int, int, int, Any | None], None],
param: Any | None = ...
) -> None: ...
"""
root.add_function(
"setMouseCallback",
[
FunctionNode.Arg("windowName", PrimitiveTypeNode.str_()),
FunctionNode.Arg(
"onMouse",
CallableTypeNode("MouseCallback", [
PrimitiveTypeNode.int_(),
PrimitiveTypeNode.int_(),
PrimitiveTypeNode.int_(),
PrimitiveTypeNode.int_(),
OptionalTypeNode(AnyTypeNode("void*"))
])
),
FunctionNode.Arg("param", OptionalTypeNode(AnyTypeNode("void*")),
default_value="None")
]
)
def refine_dnn_module(root: NamespaceNode) -> None:
if "dnn" not in root.namespaces:
return
dnn_module = root.namespaces["dnn"]
"""
class LayerProtocol(Protocol):
def __init__(
self, params: dict[str, DictValue],
blobs: typing.Sequence[cv2.typing.MatLike]
) -> None: ...
def getMemoryShapes(
self, inputs: typing.Sequence[typing.Sequence[int]]
) -> typing.Sequence[typing.Sequence[int]]: ...
def forward(
self, inputs: typing.Sequence[cv2.typing.MatLike]
) -> typing.Sequence[cv2.typing.MatLike]: ...
"""
layer_proto = ProtocolClassNode("LayerProtocol", dnn_module)
layer_proto.add_function(
"__init__",
arguments=[
FunctionNode.Arg(
"params",
DictTypeNode(
"LayerParams", PrimitiveTypeNode.str_(),
create_type_node("cv::dnn::DictValue")
)
),
FunctionNode.Arg("blobs", create_type_node("vector<cv::Mat>"))
]
)
layer_proto.add_function(
"getMemoryShapes",
arguments=[
FunctionNode.Arg("inputs",
create_type_node("vector<vector<int>>"))
],
return_type=FunctionNode.RetType(
create_type_node("vector<vector<int>>")
)
)
layer_proto.add_function(
"forward",
arguments=[
FunctionNode.Arg("inputs", create_type_node("vector<cv::Mat>"))
],
return_type=FunctionNode.RetType(create_type_node("vector<cv::Mat>"))
)
"""
def dnn_registerLayer(layerTypeName: str,
layerClass: typing.Type[LayerProtocol]) -> None: ...
"""
root.add_function(
"dnn_registerLayer",
arguments=[
FunctionNode.Arg("layerTypeName", PrimitiveTypeNode.str_()),
FunctionNode.Arg(
"layerClass",
ClassTypeNode(ASTNodeTypeNode(
layer_proto.export_name, f"dnn.{layer_proto.export_name}"
))
)
]
)
"""
def dnn_unregisterLayer(layerTypeName: str) -> None: ...
"""
root.add_function(
"dnn_unregisterLayer",
arguments=[
FunctionNode.Arg("layerTypeName", PrimitiveTypeNode.str_())
]
)
def _trim_class_name_from_argument_types(
overloads: Iterable[FunctionNode.Overload],
class_name: str
) -> None:
separator = f"{class_name}_"
for overload in overloads:
for arg in [arg for arg in overload.arguments
if arg.type_node is not None]:
ast_node = cast(ASTNodeTypeNode, arg.type_node)
if class_name in ast_node.ctype_name:
fixed_name = ast_node._typename.split(separator)[-1]
ast_node._typename = fixed_name
def _find_argument_index(arguments: Sequence[FunctionNode.Arg],
name: str) -> int:
for i, arg in enumerate(arguments):
if arg.name == name:
return i
raise RuntimeError(
f"Failed to find argument with name: '{name}' in {arguments}"
)
NODES_TO_REFINE = {
SymbolName(("cv", ), (), "resize"): make_optional_arg("dsize"),
SymbolName(("cv", ), (), "calcHist"): make_optional_arg("mask"),
}
ERROR_CLASS_PROPERTIES = (
ClassProperty("code", PrimitiveTypeNode.int_(), False),
ClassProperty("err", PrimitiveTypeNode.str_(), False),
ClassProperty("file", PrimitiveTypeNode.str_(), False),
ClassProperty("func", PrimitiveTypeNode.str_(), False),
ClassProperty("line", PrimitiveTypeNode.int_(), False),
ClassProperty("msg", PrimitiveTypeNode.str_(), False),
)
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