initial

2025-05-25 20:42:58 +02:00
commit 8e9b2568b2
4902 changed files with 1152638 additions and 0 deletions
--- a/venv/lib/python3.12/site-packages/cv2/structured_light/init.pyi
+++ b/venv/lib/python3.12/site-packages/cv2/structured_light/init.pyi
@@ -0,0 +1,94 @@
+__all__: list[str] = []
+
+import cv2
+import cv2.typing
+import typing as _typing
+
+
+# Enumerations
+FTP: int
+PSP: int
+FAPS: int
+DECODE_3D_UNDERWORLD: int
+
+
+
+# Classes
+class GrayCodePattern(StructuredLightPattern):
+    # Functions
+    @classmethod
+    def create(cls, width: int, height: int) -> GrayCodePattern: ...
+
+    def getNumberOfPatternImages(self) -> int: ...
+
+    def setWhiteThreshold(self, value: int) -> None: ...
+
+    def setBlackThreshold(self, value: int) -> None: ...
+
+    @_typing.overload
+    def getImagesForShadowMasks(self, blackImage: cv2.typing.MatLike, whiteImage: cv2.typing.MatLike) -> tuple[cv2.typing.MatLike, cv2.typing.MatLike]: ...
+    @_typing.overload
+    def getImagesForShadowMasks(self, blackImage: cv2.UMat, whiteImage: cv2.UMat) -> tuple[cv2.UMat, cv2.UMat]: ...
+
+    @_typing.overload
+    def getProjPixel(self, patternImages: _typing.Sequence[cv2.typing.MatLike], x: int, y: int) -> tuple[bool, cv2.typing.Point]: ...
+    @_typing.overload
+    def getProjPixel(self, patternImages: _typing.Sequence[cv2.UMat], x: int, y: int) -> tuple[bool, cv2.typing.Point]: ...
+
+
+class StructuredLightPattern(cv2.Algorithm):
+    # Functions
+    @_typing.overload
+    def generate(self, patternImages: _typing.Sequence[cv2.typing.MatLike] | None = ...) -> tuple[bool, _typing.Sequence[cv2.typing.MatLike]]: ...
+    @_typing.overload
+    def generate(self, patternImages: _typing.Sequence[cv2.UMat] | None = ...) -> tuple[bool, _typing.Sequence[cv2.UMat]]: ...
+
+    @_typing.overload
+    def decode(self, patternImages: _typing.Sequence[_typing.Sequence[cv2.typing.MatLike]], disparityMap: cv2.typing.MatLike | None = ..., blackImages: _typing.Sequence[cv2.typing.MatLike] | None = ..., whiteImages: _typing.Sequence[cv2.typing.MatLike] | None = ..., flags: int = ...) -> tuple[bool, cv2.typing.MatLike]: ...
+    @_typing.overload
+    def decode(self, patternImages: _typing.Sequence[_typing.Sequence[cv2.typing.MatLike]], disparityMap: cv2.UMat | None = ..., blackImages: _typing.Sequence[cv2.UMat] | None = ..., whiteImages: _typing.Sequence[cv2.UMat] | None = ..., flags: int = ...) -> tuple[bool, cv2.UMat]: ...
+
+
+class SinusoidalPattern(StructuredLightPattern):
+    # Classes
+    class Params:
+        width: int
+        height: int
+        nbrOfPeriods: int
+        shiftValue: float
+        methodId: int
+        nbrOfPixelsBetweenMarkers: int
+        horizontal: bool
+        setMarkers: bool
+
+        # Functions
+        def __init__(self) -> None: ...
+
+
+
+    # Functions
+    @classmethod
+    def create(cls, parameters: SinusoidalPattern.Params = ...) -> SinusoidalPattern: ...
+
+    @_typing.overload
+    def computePhaseMap(self, patternImages: _typing.Sequence[cv2.typing.MatLike], wrappedPhaseMap: cv2.typing.MatLike | None = ..., shadowMask: cv2.typing.MatLike | None = ..., fundamental: cv2.typing.MatLike | None = ...) -> tuple[cv2.typing.MatLike, cv2.typing.MatLike]: ...
+    @_typing.overload
+    def computePhaseMap(self, patternImages: _typing.Sequence[cv2.UMat], wrappedPhaseMap: cv2.UMat | None = ..., shadowMask: cv2.UMat | None = ..., fundamental: cv2.UMat | None = ...) -> tuple[cv2.UMat, cv2.UMat]: ...
+
+    @_typing.overload
+    def unwrapPhaseMap(self, wrappedPhaseMap: cv2.typing.MatLike, camSize: cv2.typing.Size, unwrappedPhaseMap: cv2.typing.MatLike | None = ..., shadowMask: cv2.typing.MatLike | None = ...) -> cv2.typing.MatLike: ...
+    @_typing.overload
+    def unwrapPhaseMap(self, wrappedPhaseMap: cv2.UMat, camSize: cv2.typing.Size, unwrappedPhaseMap: cv2.UMat | None = ..., shadowMask: cv2.UMat | None = ...) -> cv2.UMat: ...
+
+    @_typing.overload
+    def findProCamMatches(self, projUnwrappedPhaseMap: cv2.typing.MatLike, camUnwrappedPhaseMap: cv2.typing.MatLike, matches: _typing.Sequence[cv2.typing.MatLike] | None = ...) -> _typing.Sequence[cv2.typing.MatLike]: ...
+    @_typing.overload
+    def findProCamMatches(self, projUnwrappedPhaseMap: cv2.UMat, camUnwrappedPhaseMap: cv2.UMat, matches: _typing.Sequence[cv2.UMat] | None = ...) -> _typing.Sequence[cv2.UMat]: ...
+
+    @_typing.overload
+    def computeDataModulationTerm(self, patternImages: _typing.Sequence[cv2.typing.MatLike], shadowMask: cv2.typing.MatLike, dataModulationTerm: cv2.typing.MatLike | None = ...) -> cv2.typing.MatLike: ...
+    @_typing.overload
+    def computeDataModulationTerm(self, patternImages: _typing.Sequence[cv2.UMat], shadowMask: cv2.UMat, dataModulationTerm: cv2.UMat | None = ...) -> cv2.UMat: ...
+
+
+