initial

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

@@ -0,0 +1,37 @@
+__all__: list[str] = []
+
+import cv2
+import cv2.typing
+import typing as _typing
+
+
+# Classes
+class DnnSuperResImpl:
+    # Functions
+    @classmethod
+    def create(cls) -> DnnSuperResImpl: ...
+
+    def readModel(self, path: str) -> None: ...
+
+    def setModel(self, algo: str, scale: int) -> None: ...
+
+    def setPreferableBackend(self, backendId: int) -> None: ...
+
+    def setPreferableTarget(self, targetId: int) -> None: ...
+
+    @_typing.overload
+    def upsample(self, img: cv2.typing.MatLike, result: cv2.typing.MatLike | None = ...) -> cv2.typing.MatLike: ...
+    @_typing.overload
+    def upsample(self, img: cv2.UMat, result: cv2.UMat | None = ...) -> cv2.UMat: ...
+
+    @_typing.overload
+    def upsampleMultioutput(self, img: cv2.typing.MatLike, imgs_new: _typing.Sequence[cv2.typing.MatLike], scale_factors: _typing.Sequence[int], node_names: _typing.Sequence[str]) -> None: ...
+    @_typing.overload
+    def upsampleMultioutput(self, img: cv2.UMat, imgs_new: _typing.Sequence[cv2.typing.MatLike], scale_factors: _typing.Sequence[int], node_names: _typing.Sequence[str]) -> None: ...
+
+    def getScale(self) -> int: ...
+
+    def getAlgorithm(self) -> str: ...
+
+
+