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venv/lib/python3.12/site-packages/cv2/dynafu/__init__.pyi

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+__all__: list[str] = []
+
+import cv2
+import cv2.kinfu
+import cv2.typing
+import typing as _typing
+
+
+# Classes
+class DynaFu:
+    # Functions
+    @classmethod
+    def create(cls, _params: cv2.kinfu.Params) -> DynaFu: ...
+
+    @_typing.overload
+    def render(self, image: cv2.typing.MatLike | None = ..., cameraPose: cv2.typing.Matx44f = ...) -> cv2.typing.MatLike: ...
+    @_typing.overload
+    def render(self, image: cv2.UMat | None = ..., cameraPose: cv2.typing.Matx44f = ...) -> cv2.UMat: ...
+
+    @_typing.overload
+    def getCloud(self, points: cv2.typing.MatLike | None = ..., normals: cv2.typing.MatLike | None = ...) -> tuple[cv2.typing.MatLike, cv2.typing.MatLike]: ...
+    @_typing.overload
+    def getCloud(self, points: cv2.UMat | None = ..., normals: cv2.UMat | None = ...) -> tuple[cv2.UMat, cv2.UMat]: ...
+
+    @_typing.overload
+    def getPoints(self, points: cv2.typing.MatLike | None = ...) -> cv2.typing.MatLike: ...
+    @_typing.overload
+    def getPoints(self, points: cv2.UMat | None = ...) -> cv2.UMat: ...
+
+    @_typing.overload
+    def getNormals(self, points: cv2.typing.MatLike, normals: cv2.typing.MatLike | None = ...) -> cv2.typing.MatLike: ...
+    @_typing.overload
+    def getNormals(self, points: cv2.UMat, normals: cv2.UMat | None = ...) -> cv2.UMat: ...
+
+    def reset(self) -> None: ...
+
+    @_typing.overload
+    def update(self, depth: cv2.typing.MatLike) -> bool: ...
+    @_typing.overload
+    def update(self, depth: cv2.UMat) -> bool: ...
+
+
+