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evalkit_tf446/lib/python3.10/site-packages/cv2/Error/__init__.pyi

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+__all__: list[str] = []
+
+# Enumerations
+StsOk: int
+STS_OK: int
+StsBackTrace: int
+STS_BACK_TRACE: int
+StsError: int
+STS_ERROR: int
+StsInternal: int
+STS_INTERNAL: int
+StsNoMem: int
+STS_NO_MEM: int
+StsBadArg: int
+STS_BAD_ARG: int
+StsBadFunc: int
+STS_BAD_FUNC: int
+StsNoConv: int
+STS_NO_CONV: int
+StsAutoTrace: int
+STS_AUTO_TRACE: int
+HeaderIsNull: int
+HEADER_IS_NULL: int
+BadImageSize: int
+BAD_IMAGE_SIZE: int
+BadOffset: int
+BAD_OFFSET: int
+BadDataPtr: int
+BAD_DATA_PTR: int
+BadStep: int
+BAD_STEP: int
+BadModelOrChSeq: int
+BAD_MODEL_OR_CH_SEQ: int
+BadNumChannels: int
+BAD_NUM_CHANNELS: int
+BadNumChannel1U: int
+BAD_NUM_CHANNEL1U: int
+BadDepth: int
+BAD_DEPTH: int
+BadAlphaChannel: int
+BAD_ALPHA_CHANNEL: int
+BadOrder: int
+BAD_ORDER: int
+BadOrigin: int
+BAD_ORIGIN: int
+BadAlign: int
+BAD_ALIGN: int
+BadCallBack: int
+BAD_CALL_BACK: int
+BadTileSize: int
+BAD_TILE_SIZE: int
+BadCOI: int
+BAD_COI: int
+BadROISize: int
+BAD_ROISIZE: int
+MaskIsTiled: int
+MASK_IS_TILED: int
+StsNullPtr: int
+STS_NULL_PTR: int
+StsVecLengthErr: int
+STS_VEC_LENGTH_ERR: int
+StsFilterStructContentErr: int
+STS_FILTER_STRUCT_CONTENT_ERR: int
+StsKernelStructContentErr: int
+STS_KERNEL_STRUCT_CONTENT_ERR: int
+StsFilterOffsetErr: int
+STS_FILTER_OFFSET_ERR: int
+StsBadSize: int
+STS_BAD_SIZE: int
+StsDivByZero: int
+STS_DIV_BY_ZERO: int
+StsInplaceNotSupported: int
+STS_INPLACE_NOT_SUPPORTED: int
+StsObjectNotFound: int
+STS_OBJECT_NOT_FOUND: int
+StsUnmatchedFormats: int
+STS_UNMATCHED_FORMATS: int
+StsBadFlag: int
+STS_BAD_FLAG: int
+StsBadPoint: int
+STS_BAD_POINT: int
+StsBadMask: int
+STS_BAD_MASK: int
+StsUnmatchedSizes: int
+STS_UNMATCHED_SIZES: int
+StsUnsupportedFormat: int
+STS_UNSUPPORTED_FORMAT: int
+StsOutOfRange: int
+STS_OUT_OF_RANGE: int
+StsParseError: int
+STS_PARSE_ERROR: int
+StsNotImplemented: int
+STS_NOT_IMPLEMENTED: int
+StsBadMemBlock: int
+STS_BAD_MEM_BLOCK: int
+StsAssert: int
+STS_ASSERT: int
+GpuNotSupported: int
+GPU_NOT_SUPPORTED: int
+GpuApiCallError: int
+GPU_API_CALL_ERROR: int
+OpenGlNotSupported: int
+OPEN_GL_NOT_SUPPORTED: int
+OpenGlApiCallError: int
+OPEN_GL_API_CALL_ERROR: int
+OpenCLApiCallError: int
+OPEN_CLAPI_CALL_ERROR: int
+OpenCLDoubleNotSupported: int
+OPEN_CLDOUBLE_NOT_SUPPORTED: int
+OpenCLInitError: int
+OPEN_CLINIT_ERROR: int
+OpenCLNoAMDBlasFft: int
+OPEN_CLNO_AMDBLAS_FFT: int
+Code = int
+"""One of [StsOk, STS_OK, StsBackTrace, STS_BACK_TRACE, StsError, STS_ERROR, StsInternal, STS_INTERNAL, StsNoMem, STS_NO_MEM, StsBadArg, STS_BAD_ARG, StsBadFunc, STS_BAD_FUNC, StsNoConv, STS_NO_CONV, StsAutoTrace, STS_AUTO_TRACE, HeaderIsNull, HEADER_IS_NULL, BadImageSize, BAD_IMAGE_SIZE, BadOffset, BAD_OFFSET, BadDataPtr, BAD_DATA_PTR, BadStep, BAD_STEP, BadModelOrChSeq, BAD_MODEL_OR_CH_SEQ, BadNumChannels, BAD_NUM_CHANNELS, BadNumChannel1U, BAD_NUM_CHANNEL1U, BadDepth, BAD_DEPTH, BadAlphaChannel, BAD_ALPHA_CHANNEL, BadOrder, BAD_ORDER, BadOrigin, BAD_ORIGIN, BadAlign, BAD_ALIGN, BadCallBack, BAD_CALL_BACK, BadTileSize, BAD_TILE_SIZE, BadCOI, BAD_COI, BadROISize, BAD_ROISIZE, MaskIsTiled, MASK_IS_TILED, StsNullPtr, STS_NULL_PTR, StsVecLengthErr, STS_VEC_LENGTH_ERR, StsFilterStructContentErr, STS_FILTER_STRUCT_CONTENT_ERR, StsKernelStructContentErr, STS_KERNEL_STRUCT_CONTENT_ERR, StsFilterOffsetErr, STS_FILTER_OFFSET_ERR, StsBadSize, STS_BAD_SIZE, StsDivByZero, STS_DIV_BY_ZERO, StsInplaceNotSupported, STS_INPLACE_NOT_SUPPORTED, StsObjectNotFound, STS_OBJECT_NOT_FOUND, StsUnmatchedFormats, STS_UNMATCHED_FORMATS, StsBadFlag, STS_BAD_FLAG, StsBadPoint, STS_BAD_POINT, StsBadMask, STS_BAD_MASK, StsUnmatchedSizes, STS_UNMATCHED_SIZES, StsUnsupportedFormat, STS_UNSUPPORTED_FORMAT, StsOutOfRange, STS_OUT_OF_RANGE, StsParseError, STS_PARSE_ERROR, StsNotImplemented, STS_NOT_IMPLEMENTED, StsBadMemBlock, STS_BAD_MEM_BLOCK, StsAssert, STS_ASSERT, GpuNotSupported, GPU_NOT_SUPPORTED, GpuApiCallError, GPU_API_CALL_ERROR, OpenGlNotSupported, OPEN_GL_NOT_SUPPORTED, OpenGlApiCallError, OPEN_GL_API_CALL_ERROR, OpenCLApiCallError, OPEN_CLAPI_CALL_ERROR, OpenCLDoubleNotSupported, OPEN_CLDOUBLE_NOT_SUPPORTED, OpenCLInitError, OPEN_CLINIT_ERROR, OpenCLNoAMDBlasFft, OPEN_CLNO_AMDBLAS_FFT]"""
+
+
+

evalkit_tf446/lib/python3.10/site-packages/cv2/LICENSE.txt

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+MIT License
+
+Copyright (c) Olli-Pekka Heinisuo
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

evalkit_tf446/lib/python3.10/site-packages/cv2/__init__.py

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+'''
+OpenCV Python binary extension loader
+'''
+import os
+import importlib
+import sys
+
+__all__ = []
+
+try:
+    import numpy
+    import numpy.core.multiarray
+except ImportError:
+    print('OpenCV bindings requires "numpy" package.')
+    print('Install it via command:')
+    print('    pip install numpy')
+    raise
+
+# TODO
+# is_x64 = sys.maxsize > 2**32
+
+
+def __load_extra_py_code_for_module(base, name, enable_debug_print=False):
+    module_name = "{}.{}".format(__name__, name)
+    export_module_name = "{}.{}".format(base, name)
+    native_module = sys.modules.pop(module_name, None)
+    try:
+        py_module = importlib.import_module(module_name)
+    except ImportError as err:
+        if enable_debug_print:
+            print("Can't load Python code for module:", module_name,
+                  ". Reason:", err)
+        # Extension doesn't contain extra py code
+        return False
+
+    if base in sys.modules and not hasattr(sys.modules[base], name):
+        setattr(sys.modules[base], name, py_module)
+    sys.modules[export_module_name] = py_module
+    # If it is C extension module it is already loaded by cv2 package
+    if native_module:
+        setattr(py_module, "_native", native_module)
+        for k, v in filter(lambda kv: not hasattr(py_module, kv[0]),
+                           native_module.__dict__.items()):
+            if enable_debug_print: print('    symbol({}): {} = {}'.format(name, k, v))
+            setattr(py_module, k, v)
+    return True
+
+
+def __collect_extra_submodules(enable_debug_print=False):
+    def modules_filter(module):
+        return all((
+             # module is not internal
+             not module.startswith("_"),
+             not module.startswith("python-"),
+             # it is not a file
+             os.path.isdir(os.path.join(_extra_submodules_init_path, module))
+        ))
+    if sys.version_info[0] < 3:
+        if enable_debug_print:
+            print("Extra submodules is loaded only for Python 3")
+        return []
+
+    __INIT_FILE_PATH = os.path.abspath(__file__)
+    _extra_submodules_init_path = os.path.dirname(__INIT_FILE_PATH)
+    return filter(modules_filter, os.listdir(_extra_submodules_init_path))
+
+
+def bootstrap():
+    import sys
+
+    import copy
+    save_sys_path = copy.copy(sys.path)
+
+    if hasattr(sys, 'OpenCV_LOADER'):
+        print(sys.path)
+        raise ImportError('ERROR: recursion is detected during loading of "cv2" binary extensions. Check OpenCV installation.')
+    sys.OpenCV_LOADER = True
+
+    DEBUG = False
+    if hasattr(sys, 'OpenCV_LOADER_DEBUG'):
+        DEBUG = True
+
+    import platform
+    if DEBUG: print('OpenCV loader: os.name="{}"  platform.system()="{}"'.format(os.name, str(platform.system())))
+
+    LOADER_DIR = os.path.dirname(os.path.abspath(os.path.realpath(__file__)))
+
+    PYTHON_EXTENSIONS_PATHS = []
+    BINARIES_PATHS = []
+
+    g_vars = globals()
+    l_vars = locals().copy()
+
+    if sys.version_info[:2] < (3, 0):
+        from . load_config_py2 import exec_file_wrapper
+    else:
+        from . load_config_py3 import exec_file_wrapper
+
+    def load_first_config(fnames, required=True):
+        for fname in fnames:
+            fpath = os.path.join(LOADER_DIR, fname)
+            if not os.path.exists(fpath):
+                if DEBUG: print('OpenCV loader: config not found, skip: {}'.format(fpath))
+                continue
+            if DEBUG: print('OpenCV loader: loading config: {}'.format(fpath))
+            exec_file_wrapper(fpath, g_vars, l_vars)
+            return True
+        if required:
+            raise ImportError('OpenCV loader: missing configuration file: {}. Check OpenCV installation.'.format(fnames))
+
+    load_first_config(['config.py'], True)
+    load_first_config([
+        'config-{}.{}.py'.format(sys.version_info[0], sys.version_info[1]),
+        'config-{}.py'.format(sys.version_info[0])
+    ], True)
+
+    if DEBUG: print('OpenCV loader: PYTHON_EXTENSIONS_PATHS={}'.format(str(l_vars['PYTHON_EXTENSIONS_PATHS'])))
+    if DEBUG: print('OpenCV loader: BINARIES_PATHS={}'.format(str(l_vars['BINARIES_PATHS'])))
+
+    applySysPathWorkaround = False
+    if hasattr(sys, 'OpenCV_REPLACE_SYS_PATH_0'):
+        applySysPathWorkaround = True
+    else:
+        try:
+            BASE_DIR = os.path.dirname(LOADER_DIR)
+            if sys.path[0] == BASE_DIR or os.path.realpath(sys.path[0]) == BASE_DIR:
+                applySysPathWorkaround = True
+        except:
+            if DEBUG: print('OpenCV loader: exception during checking workaround for sys.path[0]')
+            pass  # applySysPathWorkaround is False
+
+    for p in reversed(l_vars['PYTHON_EXTENSIONS_PATHS']):
+        sys.path.insert(1 if not applySysPathWorkaround else 0, p)
+
+    if os.name == 'nt':
+        if sys.version_info[:2] >= (3, 8):  # https://github.com/python/cpython/pull/12302
+            for p in l_vars['BINARIES_PATHS']:
+                try:
+                    os.add_dll_directory(p)
+                except Exception as e:
+                    if DEBUG: print('Failed os.add_dll_directory(): '+ str(e))
+                    pass
+        os.environ['PATH'] = ';'.join(l_vars['BINARIES_PATHS']) + ';' + os.environ.get('PATH', '')
+        if DEBUG: print('OpenCV loader: PATH={}'.format(str(os.environ['PATH'])))
+    else:
+        # amending of LD_LIBRARY_PATH works for sub-processes only
+        os.environ['LD_LIBRARY_PATH'] = ':'.join(l_vars['BINARIES_PATHS']) + ':' + os.environ.get('LD_LIBRARY_PATH', '')
+
+    if DEBUG: print("Relink everything from native cv2 module to cv2 package")
+
+    py_module = sys.modules.pop("cv2")
+
+    native_module = importlib.import_module("cv2")
+
+    sys.modules["cv2"] = py_module
+    setattr(py_module, "_native", native_module)
+
+    for item_name, item in filter(lambda kv: kv[0] not in ("__file__", "__loader__", "__spec__",
+                                                           "__name__", "__package__"),
+                                  native_module.__dict__.items()):
+        if item_name not in g_vars:
+            g_vars[item_name] = item
+
+    sys.path = save_sys_path  # multiprocessing should start from bootstrap code (https://github.com/opencv/opencv/issues/18502)
+
+    try:
+        del sys.OpenCV_LOADER
+    except Exception as e:
+        if DEBUG:
+            print("Exception during delete OpenCV_LOADER:", e)
+
+    if DEBUG: print('OpenCV loader: binary extension... OK')
+
+    for submodule in __collect_extra_submodules(DEBUG):
+        if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
+            if DEBUG: print("Extra Python code for", submodule, "is loaded")
+
+    if DEBUG: print('OpenCV loader: DONE')
+
+
+bootstrap()

evalkit_tf446/lib/python3.10/site-packages/cv2/aruco/__init__.pyi

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+__all__: list[str] = []
+
+import cv2
+import cv2.typing
+import typing as _typing
+
+
+# Enumerations
+CORNER_REFINE_NONE: int
+CORNER_REFINE_SUBPIX: int
+CORNER_REFINE_CONTOUR: int
+CORNER_REFINE_APRILTAG: int
+CornerRefineMethod = int
+"""One of [CORNER_REFINE_NONE, CORNER_REFINE_SUBPIX, CORNER_REFINE_CONTOUR, CORNER_REFINE_APRILTAG]"""
+
+DICT_4X4_50: int
+DICT_4X4_100: int
+DICT_4X4_250: int
+DICT_4X4_1000: int
+DICT_5X5_50: int
+DICT_5X5_100: int
+DICT_5X5_250: int
+DICT_5X5_1000: int
+DICT_6X6_50: int
+DICT_6X6_100: int
+DICT_6X6_250: int
+DICT_6X6_1000: int
+DICT_7X7_50: int
+DICT_7X7_100: int
+DICT_7X7_250: int
+DICT_7X7_1000: int
+DICT_ARUCO_ORIGINAL: int
+DICT_APRILTAG_16h5: int
+DICT_APRILTAG_16H5: int
+DICT_APRILTAG_25h9: int
+DICT_APRILTAG_25H9: int
+DICT_APRILTAG_36h10: int
+DICT_APRILTAG_36H10: int
+DICT_APRILTAG_36h11: int
+DICT_APRILTAG_36H11: int
+DICT_ARUCO_MIP_36h12: int
+DICT_ARUCO_MIP_36H12: int
+PredefinedDictionaryType = int
+"""One of [DICT_4X4_50, DICT_4X4_100, DICT_4X4_250, DICT_4X4_1000, DICT_5X5_50, DICT_5X5_100, DICT_5X5_250, DICT_5X5_1000, DICT_6X6_50, DICT_6X6_100, DICT_6X6_250, DICT_6X6_1000, DICT_7X7_50, DICT_7X7_100, DICT_7X7_250, DICT_7X7_1000, DICT_ARUCO_ORIGINAL, DICT_APRILTAG_16h5, DICT_APRILTAG_16H5, DICT_APRILTAG_25h9, DICT_APRILTAG_25H9, DICT_APRILTAG_36h10, DICT_APRILTAG_36H10, DICT_APRILTAG_36h11, DICT_APRILTAG_36H11, DICT_ARUCO_MIP_36h12, DICT_ARUCO_MIP_36H12]"""
+
+
+
+# Classes
+class Board:
+    # Functions
+    @_typing.overload
+    def __init__(self, objPoints: _typing.Sequence[cv2.typing.MatLike], dictionary: Dictionary, ids: cv2.typing.MatLike) -> None: ...
+    @_typing.overload
+    def __init__(self, objPoints: _typing.Sequence[cv2.UMat], dictionary: Dictionary, ids: cv2.UMat) -> None: ...
+
+    def getDictionary(self) -> Dictionary: ...
+
+    def getObjPoints(self) -> _typing.Sequence[_typing.Sequence[cv2.typing.Point3f]]: ...
+
+    def getIds(self) -> _typing.Sequence[int]: ...
+
+    def getRightBottomCorner(self) -> cv2.typing.Point3f: ...
+
+    @_typing.overload
+    def matchImagePoints(self, detectedCorners: _typing.Sequence[cv2.typing.MatLike], detectedIds: cv2.typing.MatLike, objPoints: cv2.typing.MatLike | None = ..., imgPoints: cv2.typing.MatLike | None = ...) -> tuple[cv2.typing.MatLike, cv2.typing.MatLike]: ...
+    @_typing.overload
+    def matchImagePoints(self, detectedCorners: _typing.Sequence[cv2.UMat], detectedIds: cv2.UMat, objPoints: cv2.UMat | None = ..., imgPoints: cv2.UMat | None = ...) -> tuple[cv2.UMat, cv2.UMat]: ...
+
+    @_typing.overload
+    def generateImage(self, outSize: cv2.typing.Size, img: cv2.typing.MatLike | None = ..., marginSize: int = ..., borderBits: int = ...) -> cv2.typing.MatLike: ...
+    @_typing.overload
+    def generateImage(self, outSize: cv2.typing.Size, img: cv2.UMat | None = ..., marginSize: int = ..., borderBits: int = ...) -> cv2.UMat: ...
+
+
+class GridBoard(Board):
+    # Functions
+    @_typing.overload
+    def __init__(self, size: cv2.typing.Size, markerLength: float, markerSeparation: float, dictionary: Dictionary, ids: cv2.typing.MatLike | None = ...) -> None: ...
+    @_typing.overload
+    def __init__(self, size: cv2.typing.Size, markerLength: float, markerSeparation: float, dictionary: Dictionary, ids: cv2.UMat | None = ...) -> None: ...
+
+    def getGridSize(self) -> cv2.typing.Size: ...
+
+    def getMarkerLength(self) -> float: ...
+
+    def getMarkerSeparation(self) -> float: ...
+
+
+class CharucoBoard(Board):
+    # Functions
+    @_typing.overload
+    def __init__(self, size: cv2.typing.Size, squareLength: float, markerLength: float, dictionary: Dictionary, ids: cv2.typing.MatLike | None = ...) -> None: ...
+    @_typing.overload
+    def __init__(self, size: cv2.typing.Size, squareLength: float, markerLength: float, dictionary: Dictionary, ids: cv2.UMat | None = ...) -> None: ...
+
+    def setLegacyPattern(self, legacyPattern: bool) -> None: ...
+
+    def getLegacyPattern(self) -> bool: ...
+
+    def getChessboardSize(self) -> cv2.typing.Size: ...
+
+    def getSquareLength(self) -> float: ...
+
+    def getMarkerLength(self) -> float: ...
+
+    def getChessboardCorners(self) -> _typing.Sequence[cv2.typing.Point3f]: ...
+
+    @_typing.overload
+    def checkCharucoCornersCollinear(self, charucoIds: cv2.typing.MatLike) -> bool: ...
+    @_typing.overload
+    def checkCharucoCornersCollinear(self, charucoIds: cv2.UMat) -> bool: ...
+
+
+class DetectorParameters:
+    adaptiveThreshWinSizeMin: int
+    adaptiveThreshWinSizeMax: int
+    adaptiveThreshWinSizeStep: int
+    adaptiveThreshConstant: float
+    minMarkerPerimeterRate: float
+    maxMarkerPerimeterRate: float
+    polygonalApproxAccuracyRate: float
+    minCornerDistanceRate: float
+    minDistanceToBorder: int
+    minMarkerDistanceRate: float
+    minGroupDistance: float
+    cornerRefinementMethod: int
+    cornerRefinementWinSize: int
+    relativeCornerRefinmentWinSize: float
+    cornerRefinementMaxIterations: int
+    cornerRefinementMinAccuracy: float
+    markerBorderBits: int
+    perspectiveRemovePixelPerCell: int
+    perspectiveRemoveIgnoredMarginPerCell: float
+    maxErroneousBitsInBorderRate: float
+    minOtsuStdDev: float
+    errorCorrectionRate: float
+    aprilTagQuadDecimate: float
+    aprilTagQuadSigma: float
+    aprilTagMinClusterPixels: int
+    aprilTagMaxNmaxima: int
+    aprilTagCriticalRad: float
+    aprilTagMaxLineFitMse: float
+    aprilTagMinWhiteBlackDiff: int
+    aprilTagDeglitch: int
+    detectInvertedMarker: bool
+    useAruco3Detection: bool
+    minSideLengthCanonicalImg: int
+    minMarkerLengthRatioOriginalImg: float
+
+    # Functions
+    def __init__(self) -> None: ...
+
+    def readDetectorParameters(self, fn: cv2.FileNode) -> bool: ...
+
+    def writeDetectorParameters(self, fs: cv2.FileStorage, name: str = ...) -> bool: ...
+
+
+class RefineParameters:
+    minRepDistance: float
+    errorCorrectionRate: float
+    checkAllOrders: bool
+
+    # Functions
+    def __init__(self, minRepDistance: float = ..., errorCorrectionRate: float = ..., checkAllOrders: bool = ...) -> None: ...
+
+    def readRefineParameters(self, fn: cv2.FileNode) -> bool: ...
+
+    def writeRefineParameters(self, fs: cv2.FileStorage, name: str = ...) -> bool: ...
+
+
+class ArucoDetector(cv2.Algorithm):
+    # Functions
+    def __init__(self, dictionary: Dictionary = ..., detectorParams: DetectorParameters = ..., refineParams: RefineParameters = ...) -> None: ...
+
+    @_typing.overload
+    def detectMarkers(self, image: cv2.typing.MatLike, corners: _typing.Sequence[cv2.typing.MatLike] | None = ..., ids: cv2.typing.MatLike | None = ..., rejectedImgPoints: _typing.Sequence[cv2.typing.MatLike] | None = ...) -> tuple[_typing.Sequence[cv2.typing.MatLike], cv2.typing.MatLike, _typing.Sequence[cv2.typing.MatLike]]: ...
+    @_typing.overload
+    def detectMarkers(self, image: cv2.UMat, corners: _typing.Sequence[cv2.UMat] | None = ..., ids: cv2.UMat | None = ..., rejectedImgPoints: _typing.Sequence[cv2.UMat] | None = ...) -> tuple[_typing.Sequence[cv2.UMat], cv2.UMat, _typing.Sequence[cv2.UMat]]: ...
+
+    @_typing.overload
+    def refineDetectedMarkers(self, image: cv2.typing.MatLike, board: Board, detectedCorners: _typing.Sequence[cv2.typing.MatLike], detectedIds: cv2.typing.MatLike, rejectedCorners: _typing.Sequence[cv2.typing.MatLike], cameraMatrix: cv2.typing.MatLike | None = ..., distCoeffs: cv2.typing.MatLike | None = ..., recoveredIdxs: cv2.typing.MatLike | None = ...) -> tuple[_typing.Sequence[cv2.typing.MatLike], cv2.typing.MatLike, _typing.Sequence[cv2.typing.MatLike], cv2.typing.MatLike]: ...
+    @_typing.overload
+    def refineDetectedMarkers(self, image: cv2.UMat, board: Board, detectedCorners: _typing.Sequence[cv2.UMat], detectedIds: cv2.UMat, rejectedCorners: _typing.Sequence[cv2.UMat], cameraMatrix: cv2.UMat | None = ..., distCoeffs: cv2.UMat | None = ..., recoveredIdxs: cv2.UMat | None = ...) -> tuple[_typing.Sequence[cv2.UMat], cv2.UMat, _typing.Sequence[cv2.UMat], cv2.UMat]: ...
+
+    def getDictionary(self) -> Dictionary: ...
+
+    def setDictionary(self, dictionary: Dictionary) -> None: ...
+
+    def getDetectorParameters(self) -> DetectorParameters: ...
+
+    def setDetectorParameters(self, detectorParameters: DetectorParameters) -> None: ...
+
+    def getRefineParameters(self) -> RefineParameters: ...
+
+    def setRefineParameters(self, refineParameters: RefineParameters) -> None: ...
+
+    def write(self, fs: cv2.FileStorage, name: str) -> None: ...
+
+    def read(self, fn: cv2.FileNode) -> None: ...
+
+
+class Dictionary:
+    bytesList: cv2.typing.MatLike
+    markerSize: int
+    maxCorrectionBits: int
+
+    # Functions
+    @_typing.overload
+    def __init__(self) -> None: ...
+    @_typing.overload
+    def __init__(self, bytesList: cv2.typing.MatLike, _markerSize: int, maxcorr: int = ...) -> None: ...
+
+    def readDictionary(self, fn: cv2.FileNode) -> bool: ...
+
+    def writeDictionary(self, fs: cv2.FileStorage, name: str = ...) -> None: ...
+
+    def identify(self, onlyBits: cv2.typing.MatLike, maxCorrectionRate: float) -> tuple[bool, int, int]: ...
+
+    @_typing.overload
+    def getDistanceToId(self, bits: cv2.typing.MatLike, id: int, allRotations: bool = ...) -> int: ...
+    @_typing.overload
+    def getDistanceToId(self, bits: cv2.UMat, id: int, allRotations: bool = ...) -> int: ...
+
+    @_typing.overload
+    def generateImageMarker(self, id: int, sidePixels: int, _img: cv2.typing.MatLike | None = ..., borderBits: int = ...) -> cv2.typing.MatLike: ...
+    @_typing.overload
+    def generateImageMarker(self, id: int, sidePixels: int, _img: cv2.UMat | None = ..., borderBits: int = ...) -> cv2.UMat: ...
+
+    @staticmethod
+    def getByteListFromBits(bits: cv2.typing.MatLike) -> cv2.typing.MatLike: ...
+
+    @staticmethod
+    def getBitsFromByteList(byteList: cv2.typing.MatLike, markerSize: int) -> cv2.typing.MatLike: ...
+
+
+class CharucoParameters:
+    cameraMatrix: cv2.typing.MatLike
+    distCoeffs: cv2.typing.MatLike
+    minMarkers: int
+    tryRefineMarkers: bool
+
+    # Functions
+    def __init__(self) -> None: ...
+
+
+class CharucoDetector(cv2.Algorithm):
+    # Functions
+    def __init__(self, board: CharucoBoard, charucoParams: CharucoParameters = ..., detectorParams: DetectorParameters = ..., refineParams: RefineParameters = ...) -> None: ...
+
+    def getBoard(self) -> CharucoBoard: ...
+
+    def setBoard(self, board: CharucoBoard) -> None: ...
+
+    def getCharucoParameters(self) -> CharucoParameters: ...
+
+    def setCharucoParameters(self, charucoParameters: CharucoParameters) -> None: ...
+
+    def getDetectorParameters(self) -> DetectorParameters: ...
+
+    def setDetectorParameters(self, detectorParameters: DetectorParameters) -> None: ...
+
+    def getRefineParameters(self) -> RefineParameters: ...
+
+    def setRefineParameters(self, refineParameters: RefineParameters) -> None: ...
+
+    @_typing.overload
+    def detectBoard(self, image: cv2.typing.MatLike, charucoCorners: cv2.typing.MatLike | None = ..., charucoIds: cv2.typing.MatLike | None = ..., markerCorners: _typing.Sequence[cv2.typing.MatLike] | None = ..., markerIds: cv2.typing.MatLike | None = ...) -> tuple[cv2.typing.MatLike, cv2.typing.MatLike, _typing.Sequence[cv2.typing.MatLike], cv2.typing.MatLike]: ...
+    @_typing.overload
+    def detectBoard(self, image: cv2.UMat, charucoCorners: cv2.UMat | None = ..., charucoIds: cv2.UMat | None = ..., markerCorners: _typing.Sequence[cv2.UMat] | None = ..., markerIds: cv2.UMat | None = ...) -> tuple[cv2.UMat, cv2.UMat, _typing.Sequence[cv2.UMat], cv2.UMat]: ...
+
+    @_typing.overload
+    def detectDiamonds(self, image: cv2.typing.MatLike, diamondCorners: _typing.Sequence[cv2.typing.MatLike] | None = ..., diamondIds: cv2.typing.MatLike | None = ..., markerCorners: _typing.Sequence[cv2.typing.MatLike] | None = ..., markerIds: cv2.typing.MatLike | None = ...) -> tuple[_typing.Sequence[cv2.typing.MatLike], cv2.typing.MatLike, _typing.Sequence[cv2.typing.MatLike], cv2.typing.MatLike]: ...
+    @_typing.overload
+    def detectDiamonds(self, image: cv2.UMat, diamondCorners: _typing.Sequence[cv2.UMat] | None = ..., diamondIds: cv2.UMat | None = ..., markerCorners: _typing.Sequence[cv2.UMat] | None = ..., markerIds: cv2.UMat | None = ...) -> tuple[_typing.Sequence[cv2.UMat], cv2.UMat, _typing.Sequence[cv2.UMat], cv2.UMat]: ...
+
+
+
+# Functions
+@_typing.overload
+def drawDetectedCornersCharuco(image: cv2.typing.MatLike, charucoCorners: cv2.typing.MatLike, charucoIds: cv2.typing.MatLike | None = ..., cornerColor: cv2.typing.Scalar = ...) -> cv2.typing.MatLike: ...
+@_typing.overload
+def drawDetectedCornersCharuco(image: cv2.UMat, charucoCorners: cv2.UMat, charucoIds: cv2.UMat | None = ..., cornerColor: cv2.typing.Scalar = ...) -> cv2.UMat: ...
+
+@_typing.overload
+def drawDetectedDiamonds(image: cv2.typing.MatLike, diamondCorners: _typing.Sequence[cv2.typing.MatLike], diamondIds: cv2.typing.MatLike | None = ..., borderColor: cv2.typing.Scalar = ...) -> cv2.typing.MatLike: ...
+@_typing.overload
+def drawDetectedDiamonds(image: cv2.UMat, diamondCorners: _typing.Sequence[cv2.UMat], diamondIds: cv2.UMat | None = ..., borderColor: cv2.typing.Scalar = ...) -> cv2.UMat: ...
+
+@_typing.overload
+def drawDetectedMarkers(image: cv2.typing.MatLike, corners: _typing.Sequence[cv2.typing.MatLike], ids: cv2.typing.MatLike | None = ..., borderColor: cv2.typing.Scalar = ...) -> cv2.typing.MatLike: ...
+@_typing.overload
+def drawDetectedMarkers(image: cv2.UMat, corners: _typing.Sequence[cv2.UMat], ids: cv2.UMat | None = ..., borderColor: cv2.typing.Scalar = ...) -> cv2.UMat: ...
+
+def extendDictionary(nMarkers: int, markerSize: int, baseDictionary: Dictionary = ..., randomSeed: int = ...) -> Dictionary: ...
+
+@_typing.overload
+def generateImageMarker(dictionary: Dictionary, id: int, sidePixels: int, img: cv2.typing.MatLike | None = ..., borderBits: int = ...) -> cv2.typing.MatLike: ...
+@_typing.overload
+def generateImageMarker(dictionary: Dictionary, id: int, sidePixels: int, img: cv2.UMat | None = ..., borderBits: int = ...) -> cv2.UMat: ...
+
+def getPredefinedDictionary(dict: int) -> Dictionary: ...
+
+

evalkit_tf446/lib/python3.10/site-packages/cv2/config-3.py

@@ -0,0 +1,24 @@
+PYTHON_EXTENSIONS_PATHS = [
+    LOADER_DIR
+] + PYTHON_EXTENSIONS_PATHS
+
+ci_and_not_headless = False
+
+try:
+    from .version import ci_build, headless
+
+    ci_and_not_headless = ci_build and not headless
+except:
+    pass
+
+# the Qt plugin is included currently only in the pre-built wheels
+if sys.platform.startswith("linux") and ci_and_not_headless:
+    os.environ["QT_QPA_PLATFORM_PLUGIN_PATH"] = os.path.join(
+        os.path.dirname(os.path.abspath(__file__)), "qt", "plugins"
+    )
+
+# Qt will throw warning on Linux if fonts are not found
+if sys.platform.startswith("linux") and ci_and_not_headless:
+    os.environ["QT_QPA_FONTDIR"] = os.path.join(
+        os.path.dirname(os.path.abspath(__file__)), "qt", "fonts"
+    )

evalkit_tf446/lib/python3.10/site-packages/cv2/config.py

@@ -0,0 +1,5 @@
+import os
+
+BINARIES_PATHS = [
+    os.path.join(os.path.join(LOADER_DIR, '../../'), 'lib64')
+] + BINARIES_PATHS

evalkit_tf446/lib/python3.10/site-packages/cv2/detail/__init__.pyi

@@ -0,0 +1,600 @@
+__all__: list[str] = []
+
+import cv2
+import cv2.gapi
+import cv2.gapi.ie
+import cv2.gapi.onnx
+import cv2.gapi.ov
+import cv2.typing
+import numpy
+import typing as _typing
+
+
+# Enumerations
+TEST_CUSTOM: int
+TEST_EQ: int
+TEST_NE: int
+TEST_LE: int
+TEST_LT: int
+TEST_GE: int
+TEST_GT: int
+TestOp = int
+"""One of [TEST_CUSTOM, TEST_EQ, TEST_NE, TEST_LE, TEST_LT, TEST_GE, TEST_GT]"""
+
+WAVE_CORRECT_HORIZ: int
+WAVE_CORRECT_VERT: int
+WAVE_CORRECT_AUTO: int
+WaveCorrectKind = int
+"""One of [WAVE_CORRECT_HORIZ, WAVE_CORRECT_VERT, WAVE_CORRECT_AUTO]"""
+
+OpaqueKind_CV_UNKNOWN: int
+OPAQUE_KIND_CV_UNKNOWN: int
+OpaqueKind_CV_BOOL: int
+OPAQUE_KIND_CV_BOOL: int
+OpaqueKind_CV_INT: int
+OPAQUE_KIND_CV_INT: int
+OpaqueKind_CV_INT64: int
+OPAQUE_KIND_CV_INT64: int
+OpaqueKind_CV_DOUBLE: int
+OPAQUE_KIND_CV_DOUBLE: int
+OpaqueKind_CV_FLOAT: int
+OPAQUE_KIND_CV_FLOAT: int
+OpaqueKind_CV_UINT64: int
+OPAQUE_KIND_CV_UINT64: int
+OpaqueKind_CV_STRING: int
+OPAQUE_KIND_CV_STRING: int
+OpaqueKind_CV_POINT: int
+OPAQUE_KIND_CV_POINT: int
+OpaqueKind_CV_POINT2F: int
+OPAQUE_KIND_CV_POINT2F: int
+OpaqueKind_CV_POINT3F: int
+OPAQUE_KIND_CV_POINT3F: int
+OpaqueKind_CV_SIZE: int
+OPAQUE_KIND_CV_SIZE: int
+OpaqueKind_CV_RECT: int
+OPAQUE_KIND_CV_RECT: int
+OpaqueKind_CV_SCALAR: int
+OPAQUE_KIND_CV_SCALAR: int
+OpaqueKind_CV_MAT: int
+OPAQUE_KIND_CV_MAT: int
+OpaqueKind_CV_DRAW_PRIM: int
+OPAQUE_KIND_CV_DRAW_PRIM: int
+OpaqueKind = int
+"""One of [OpaqueKind_CV_UNKNOWN, OPAQUE_KIND_CV_UNKNOWN, OpaqueKind_CV_BOOL, OPAQUE_KIND_CV_BOOL, OpaqueKind_CV_INT, OPAQUE_KIND_CV_INT, OpaqueKind_CV_INT64, OPAQUE_KIND_CV_INT64, OpaqueKind_CV_DOUBLE, OPAQUE_KIND_CV_DOUBLE, OpaqueKind_CV_FLOAT, OPAQUE_KIND_CV_FLOAT, OpaqueKind_CV_UINT64, OPAQUE_KIND_CV_UINT64, OpaqueKind_CV_STRING, OPAQUE_KIND_CV_STRING, OpaqueKind_CV_POINT, OPAQUE_KIND_CV_POINT, OpaqueKind_CV_POINT2F, OPAQUE_KIND_CV_POINT2F, OpaqueKind_CV_POINT3F, OPAQUE_KIND_CV_POINT3F, OpaqueKind_CV_SIZE, OPAQUE_KIND_CV_SIZE, OpaqueKind_CV_RECT, OPAQUE_KIND_CV_RECT, OpaqueKind_CV_SCALAR, OPAQUE_KIND_CV_SCALAR, OpaqueKind_CV_MAT, OPAQUE_KIND_CV_MAT, OpaqueKind_CV_DRAW_PRIM, OPAQUE_KIND_CV_DRAW_PRIM]"""
+
+ArgKind_OPAQUE_VAL: int
+ARG_KIND_OPAQUE_VAL: int
+ArgKind_OPAQUE: int
+ARG_KIND_OPAQUE: int
+ArgKind_GOBJREF: int
+ARG_KIND_GOBJREF: int
+ArgKind_GMAT: int
+ARG_KIND_GMAT: int
+ArgKind_GMATP: int
+ARG_KIND_GMATP: int
+ArgKind_GFRAME: int
+ARG_KIND_GFRAME: int
+ArgKind_GSCALAR: int
+ARG_KIND_GSCALAR: int
+ArgKind_GARRAY: int
+ARG_KIND_GARRAY: int
+ArgKind_GOPAQUE: int
+ARG_KIND_GOPAQUE: int
+ArgKind = int
+"""One of [ArgKind_OPAQUE_VAL, ARG_KIND_OPAQUE_VAL, ArgKind_OPAQUE, ARG_KIND_OPAQUE, ArgKind_GOBJREF, ARG_KIND_GOBJREF, ArgKind_GMAT, ARG_KIND_GMAT, ArgKind_GMATP, ARG_KIND_GMATP, ArgKind_GFRAME, ARG_KIND_GFRAME, ArgKind_GSCALAR, ARG_KIND_GSCALAR, ArgKind_GARRAY, ARG_KIND_GARRAY, ArgKind_GOPAQUE, ARG_KIND_GOPAQUE]"""
+
+
+Blender_NO: int
+BLENDER_NO: int
+Blender_FEATHER: int
+BLENDER_FEATHER: int
+Blender_MULTI_BAND: int
+BLENDER_MULTI_BAND: int
+
+ExposureCompensator_NO: int
+EXPOSURE_COMPENSATOR_NO: int
+ExposureCompensator_GAIN: int
+EXPOSURE_COMPENSATOR_GAIN: int
+ExposureCompensator_GAIN_BLOCKS: int
+EXPOSURE_COMPENSATOR_GAIN_BLOCKS: int
+ExposureCompensator_CHANNELS: int
+EXPOSURE_COMPENSATOR_CHANNELS: int
+ExposureCompensator_CHANNELS_BLOCKS: int
+EXPOSURE_COMPENSATOR_CHANNELS_BLOCKS: int
+
+SeamFinder_NO: int
+SEAM_FINDER_NO: int
+SeamFinder_VORONOI_SEAM: int
+SEAM_FINDER_VORONOI_SEAM: int
+SeamFinder_DP_SEAM: int
+SEAM_FINDER_DP_SEAM: int
+
+DpSeamFinder_COLOR: int
+DP_SEAM_FINDER_COLOR: int
+DpSeamFinder_COLOR_GRAD: int
+DP_SEAM_FINDER_COLOR_GRAD: int
+DpSeamFinder_CostFunction = int
+"""One of [DpSeamFinder_COLOR, DP_SEAM_FINDER_COLOR, DpSeamFinder_COLOR_GRAD, DP_SEAM_FINDER_COLOR_GRAD]"""
+
+Timelapser_AS_IS: int
+TIMELAPSER_AS_IS: int
+Timelapser_CROP: int
+TIMELAPSER_CROP: int
+
+GraphCutSeamFinderBase_COST_COLOR: int
+GRAPH_CUT_SEAM_FINDER_BASE_COST_COLOR: int
+GraphCutSeamFinderBase_COST_COLOR_GRAD: int
+GRAPH_CUT_SEAM_FINDER_BASE_COST_COLOR_GRAD: int
+GraphCutSeamFinderBase_CostType = int
+"""One of [GraphCutSeamFinderBase_COST_COLOR, GRAPH_CUT_SEAM_FINDER_BASE_COST_COLOR, GraphCutSeamFinderBase_COST_COLOR_GRAD, GRAPH_CUT_SEAM_FINDER_BASE_COST_COLOR_GRAD]"""
+
+TrackerSamplerCSC_MODE_INIT_POS: int
+TRACKER_SAMPLER_CSC_MODE_INIT_POS: int
+TrackerSamplerCSC_MODE_INIT_NEG: int
+TRACKER_SAMPLER_CSC_MODE_INIT_NEG: int
+TrackerSamplerCSC_MODE_TRACK_POS: int
+TRACKER_SAMPLER_CSC_MODE_TRACK_POS: int
+TrackerSamplerCSC_MODE_TRACK_NEG: int
+TRACKER_SAMPLER_CSC_MODE_TRACK_NEG: int
+TrackerSamplerCSC_MODE_DETECT: int
+TRACKER_SAMPLER_CSC_MODE_DETECT: int
+TrackerSamplerCSC_MODE = int
+"""One of [TrackerSamplerCSC_MODE_INIT_POS, TRACKER_SAMPLER_CSC_MODE_INIT_POS, TrackerSamplerCSC_MODE_INIT_NEG, TRACKER_SAMPLER_CSC_MODE_INIT_NEG, TrackerSamplerCSC_MODE_TRACK_POS, TRACKER_SAMPLER_CSC_MODE_TRACK_POS, TrackerSamplerCSC_MODE_TRACK_NEG, TRACKER_SAMPLER_CSC_MODE_TRACK_NEG, TrackerSamplerCSC_MODE_DETECT, TRACKER_SAMPLER_CSC_MODE_DETECT]"""
+
+
+# Classes
+class Blender:
+    # Functions
+    @classmethod
+    def createDefault(cls, type: int, try_gpu: bool = ...) -> Blender: ...
+
+    @_typing.overload
+    def prepare(self, corners: _typing.Sequence[cv2.typing.Point], sizes: _typing.Sequence[cv2.typing.Size]) -> None: ...
+    @_typing.overload
+    def prepare(self, dst_roi: cv2.typing.Rect) -> None: ...
+
+    @_typing.overload
+    def feed(self, img: cv2.typing.MatLike, mask: cv2.typing.MatLike, tl: cv2.typing.Point) -> None: ...
+    @_typing.overload
+    def feed(self, img: cv2.UMat, mask: cv2.UMat, tl: cv2.typing.Point) -> None: ...
+
+    @_typing.overload
+    def blend(self, dst: cv2.typing.MatLike, dst_mask: cv2.typing.MatLike) -> tuple[cv2.typing.MatLike, cv2.typing.MatLike]: ...
+    @_typing.overload
+    def blend(self, dst: cv2.UMat, dst_mask: cv2.UMat) -> tuple[cv2.UMat, cv2.UMat]: ...
+
+
+class FeatherBlender(Blender):
+    # Functions
+    def __init__(self, sharpness: float = ...) -> None: ...
+
+    def sharpness(self) -> float: ...
+
+    def setSharpness(self, val: float) -> None: ...
+
+    def prepare(self, dst_roi: cv2.typing.Rect) -> None: ...
+
+    @_typing.overload
+    def feed(self, img: cv2.typing.MatLike, mask: cv2.typing.MatLike, tl: cv2.typing.Point) -> None: ...
+    @_typing.overload
+    def feed(self, img: cv2.UMat, mask: cv2.UMat, tl: cv2.typing.Point) -> None: ...
+
+    @_typing.overload
+    def blend(self, dst: cv2.typing.MatLike, dst_mask: cv2.typing.MatLike) -> tuple[cv2.typing.MatLike, cv2.typing.MatLike]: ...
+    @_typing.overload
+    def blend(self, dst: cv2.UMat, dst_mask: cv2.UMat) -> tuple[cv2.UMat, cv2.UMat]: ...
+
+    def createWeightMaps(self, masks: _typing.Sequence[cv2.UMat], corners: _typing.Sequence[cv2.typing.Point], weight_maps: _typing.Sequence[cv2.UMat]) -> tuple[cv2.typing.Rect, _typing.Sequence[cv2.UMat]]: ...
+
+
+class MultiBandBlender(Blender):
+    # Functions
+    def __init__(self, try_gpu: int = ..., num_bands: int = ..., weight_type: int = ...) -> None: ...
+
+    def numBands(self) -> int: ...
+
+    def setNumBands(self, val: int) -> None: ...
+
+    def prepare(self, dst_roi: cv2.typing.Rect) -> None: ...
+
+    @_typing.overload
+    def feed(self, img: cv2.typing.MatLike, mask: cv2.typing.MatLike, tl: cv2.typing.Point) -> None: ...
+    @_typing.overload
+    def feed(self, img: cv2.UMat, mask: cv2.UMat, tl: cv2.typing.Point) -> None: ...
+
+    @_typing.overload
+    def blend(self, dst: cv2.typing.MatLike, dst_mask: cv2.typing.MatLike) -> tuple[cv2.typing.MatLike, cv2.typing.MatLike]: ...
+    @_typing.overload
+    def blend(self, dst: cv2.UMat, dst_mask: cv2.UMat) -> tuple[cv2.UMat, cv2.UMat]: ...
+
+
+class CameraParams:
+    focal: float
+    aspect: float
+    ppx: float
+    ppy: float
+    R: cv2.typing.MatLike
+    t: cv2.typing.MatLike
+
+    # Functions
+    def K(self) -> cv2.typing.MatLike: ...
+
+
+class ExposureCompensator:
+    # Functions
+    @classmethod
+    def createDefault(cls, type: int) -> ExposureCompensator: ...
+
+    def feed(self, corners: _typing.Sequence[cv2.typing.Point], images: _typing.Sequence[cv2.UMat], masks: _typing.Sequence[cv2.UMat]) -> None: ...
+
+    @_typing.overload
+    def apply(self, index: int, corner: cv2.typing.Point, image: cv2.typing.MatLike, mask: cv2.typing.MatLike) -> cv2.typing.MatLike: ...
+    @_typing.overload
+    def apply(self, index: int, corner: cv2.typing.Point, image: cv2.UMat, mask: cv2.UMat) -> cv2.UMat: ...
+
+    def getMatGains(self, arg1: _typing.Sequence[cv2.typing.MatLike] | None = ...) -> _typing.Sequence[cv2.typing.MatLike]: ...
+
+    def setMatGains(self, arg1: _typing.Sequence[cv2.typing.MatLike]) -> None: ...
+
+    def setUpdateGain(self, b: bool) -> None: ...
+
+    def getUpdateGain(self) -> bool: ...
+
+
+class NoExposureCompensator(ExposureCompensator):
+    # Functions
+    @_typing.overload
+    def apply(self, arg1: int, arg2: cv2.typing.Point, arg3: cv2.typing.MatLike, arg4: cv2.typing.MatLike) -> cv2.typing.MatLike: ...
+    @_typing.overload
+    def apply(self, arg1: int, arg2: cv2.typing.Point, arg3: cv2.UMat, arg4: cv2.UMat) -> cv2.UMat: ...
+
+    def getMatGains(self, umv: _typing.Sequence[cv2.typing.MatLike] | None = ...) -> _typing.Sequence[cv2.typing.MatLike]: ...
+
+    def setMatGains(self, umv: _typing.Sequence[cv2.typing.MatLike]) -> None: ...
+
+
+class GainCompensator(ExposureCompensator):
+    # Functions
+    @_typing.overload
+    def __init__(self) -> None: ...
+    @_typing.overload
+    def __init__(self, nr_feeds: int) -> None: ...
+
+    @_typing.overload
+    def apply(self, index: int, corner: cv2.typing.Point, image: cv2.typing.MatLike, mask: cv2.typing.MatLike) -> cv2.typing.MatLike: ...
+    @_typing.overload
+    def apply(self, index: int, corner: cv2.typing.Point, image: cv2.UMat, mask: cv2.UMat) -> cv2.UMat: ...
+
+    def getMatGains(self, umv: _typing.Sequence[cv2.typing.MatLike] | None = ...) -> _typing.Sequence[cv2.typing.MatLike]: ...
+
+    def setMatGains(self, umv: _typing.Sequence[cv2.typing.MatLike]) -> None: ...
+
+    def setNrFeeds(self, nr_feeds: int) -> None: ...
+
+    def getNrFeeds(self) -> int: ...
+
+    def setSimilarityThreshold(self, similarity_threshold: float) -> None: ...
+
+    def getSimilarityThreshold(self) -> float: ...
+
+
+class ChannelsCompensator(ExposureCompensator):
+    # Functions
+    def __init__(self, nr_feeds: int = ...) -> None: ...
+
+    @_typing.overload
+    def apply(self, index: int, corner: cv2.typing.Point, image: cv2.typing.MatLike, mask: cv2.typing.MatLike) -> cv2.typing.MatLike: ...
+    @_typing.overload
+    def apply(self, index: int, corner: cv2.typing.Point, image: cv2.UMat, mask: cv2.UMat) -> cv2.UMat: ...
+
+    def getMatGains(self, umv: _typing.Sequence[cv2.typing.MatLike] | None = ...) -> _typing.Sequence[cv2.typing.MatLike]: ...
+
+    def setMatGains(self, umv: _typing.Sequence[cv2.typing.MatLike]) -> None: ...
+
+    def setNrFeeds(self, nr_feeds: int) -> None: ...
+
+    def getNrFeeds(self) -> int: ...
+
+    def setSimilarityThreshold(self, similarity_threshold: float) -> None: ...
+
+    def getSimilarityThreshold(self) -> float: ...
+
+
+class BlocksCompensator(ExposureCompensator):
+    # Functions
+    @_typing.overload
+    def apply(self, index: int, corner: cv2.typing.Point, image: cv2.typing.MatLike, mask: cv2.typing.MatLike) -> cv2.typing.MatLike: ...
+    @_typing.overload
+    def apply(self, index: int, corner: cv2.typing.Point, image: cv2.UMat, mask: cv2.UMat) -> cv2.UMat: ...
+
+    def getMatGains(self, umv: _typing.Sequence[cv2.typing.MatLike] | None = ...) -> _typing.Sequence[cv2.typing.MatLike]: ...
+
+    def setMatGains(self, umv: _typing.Sequence[cv2.typing.MatLike]) -> None: ...
+
+    def setNrFeeds(self, nr_feeds: int) -> None: ...
+
+    def getNrFeeds(self) -> int: ...
+
+    def setSimilarityThreshold(self, similarity_threshold: float) -> None: ...
+
+    def getSimilarityThreshold(self) -> float: ...
+
+    @_typing.overload
+    def setBlockSize(self, width: int, height: int) -> None: ...
+    @_typing.overload
+    def setBlockSize(self, size: cv2.typing.Size) -> None: ...
+
+    def getBlockSize(self) -> cv2.typing.Size: ...
+
+    def setNrGainsFilteringIterations(self, nr_iterations: int) -> None: ...
+
+    def getNrGainsFilteringIterations(self) -> int: ...
+
+
+class BlocksGainCompensator(BlocksCompensator):
+    # Functions
+    @_typing.overload
+    def __init__(self, bl_width: int = ..., bl_height: int = ...) -> None: ...
+    @_typing.overload
+    def __init__(self, bl_width: int, bl_height: int, nr_feeds: int) -> None: ...
+
+    @_typing.overload
+    def apply(self, index: int, corner: cv2.typing.Point, image: cv2.typing.MatLike, mask: cv2.typing.MatLike) -> cv2.typing.MatLike: ...
+    @_typing.overload
+    def apply(self, index: int, corner: cv2.typing.Point, image: cv2.UMat, mask: cv2.UMat) -> cv2.UMat: ...
+
+    def getMatGains(self, umv: _typing.Sequence[cv2.typing.MatLike] | None = ...) -> _typing.Sequence[cv2.typing.MatLike]: ...
+
+    def setMatGains(self, umv: _typing.Sequence[cv2.typing.MatLike]) -> None: ...
+
+
+class BlocksChannelsCompensator(BlocksCompensator):
+    # Functions
+    def __init__(self, bl_width: int = ..., bl_height: int = ..., nr_feeds: int = ...) -> None: ...
+
+
+class ImageFeatures:
+    img_idx: int
+    img_size: cv2.typing.Size
+    keypoints: _typing.Sequence[cv2.KeyPoint]
+    descriptors: cv2.UMat
+
+    # Functions
+    def getKeypoints(self) -> _typing.Sequence[cv2.KeyPoint]: ...
+
+
+class MatchesInfo:
+    src_img_idx: int
+    dst_img_idx: int
+    matches: _typing.Sequence[cv2.DMatch]
+    inliers_mask: numpy.ndarray[_typing.Any, numpy.dtype[numpy.uint8]]
+    num_inliers: int
+    H: cv2.typing.MatLike
+    confidence: float
+
+    # Functions
+    def getMatches(self) -> _typing.Sequence[cv2.DMatch]: ...
+
+    def getInliers(self) -> numpy.ndarray[_typing.Any, numpy.dtype[numpy.uint8]]: ...
+
+
+class FeaturesMatcher:
+    # Functions
+    def apply(self, features1: ImageFeatures, features2: ImageFeatures) -> MatchesInfo: ...
+
+    def apply2(self, features: _typing.Sequence[ImageFeatures], mask: cv2.UMat | None = ...) -> _typing.Sequence[MatchesInfo]: ...
+
+    def isThreadSafe(self) -> bool: ...
+
+    def collectGarbage(self) -> None: ...
+
+
+class BestOf2NearestMatcher(FeaturesMatcher):
+    # Functions
+    def __init__(self, try_use_gpu: bool = ..., match_conf: float = ..., num_matches_thresh1: int = ..., num_matches_thresh2: int = ..., matches_confindece_thresh: float = ...) -> None: ...
+
+    def collectGarbage(self) -> None: ...
+
+    @classmethod
+    def create(cls, try_use_gpu: bool = ..., match_conf: float = ..., num_matches_thresh1: int = ..., num_matches_thresh2: int = ..., matches_confindece_thresh: float = ...) -> BestOf2NearestMatcher: ...
+
+
+class BestOf2NearestRangeMatcher(BestOf2NearestMatcher):
+    # Functions
+    def __init__(self, range_width: int = ..., try_use_gpu: bool = ..., match_conf: float = ..., num_matches_thresh1: int = ..., num_matches_thresh2: int = ...) -> None: ...
+
+
+class AffineBestOf2NearestMatcher(BestOf2NearestMatcher):
+    # Functions
+    def __init__(self, full_affine: bool = ..., try_use_gpu: bool = ..., match_conf: float = ..., num_matches_thresh1: int = ...) -> None: ...
+
+
+class Estimator:
+    # Functions
+    def apply(self, features: _typing.Sequence[ImageFeatures], pairwise_matches: _typing.Sequence[MatchesInfo], cameras: _typing.Sequence[CameraParams]) -> tuple[bool, _typing.Sequence[CameraParams]]: ...
+
+
+class HomographyBasedEstimator(Estimator):
+    # Functions
+    def __init__(self, is_focals_estimated: bool = ...) -> None: ...
+
+
+class AffineBasedEstimator(Estimator):
+    # Functions
+    def __init__(self) -> None: ...
+
+
+class BundleAdjusterBase(Estimator):
+    # Functions
+    def refinementMask(self) -> cv2.typing.MatLike: ...
+
+    def setRefinementMask(self, mask: cv2.typing.MatLike) -> None: ...
+
+    def confThresh(self) -> float: ...
+
+    def setConfThresh(self, conf_thresh: float) -> None: ...
+
+    def termCriteria(self) -> cv2.typing.TermCriteria: ...
+
+    def setTermCriteria(self, term_criteria: cv2.typing.TermCriteria) -> None: ...
+
+
+class NoBundleAdjuster(BundleAdjusterBase):
+    # Functions
+    def __init__(self) -> None: ...
+
+
+class BundleAdjusterReproj(BundleAdjusterBase):
+    # Functions
+    def __init__(self) -> None: ...
+
+
+class BundleAdjusterRay(BundleAdjusterBase):
+    # Functions
+    def __init__(self) -> None: ...
+
+
+class BundleAdjusterAffine(BundleAdjusterBase):
+    # Functions
+    def __init__(self) -> None: ...
+
+
+class BundleAdjusterAffinePartial(BundleAdjusterBase):
+    # Functions
+    def __init__(self) -> None: ...
+
+
+class SeamFinder:
+    # Functions
+    def find(self, src: _typing.Sequence[cv2.UMat], corners: _typing.Sequence[cv2.typing.Point], masks: _typing.Sequence[cv2.UMat]) -> _typing.Sequence[cv2.UMat]: ...
+
+    @classmethod
+    def createDefault(cls, type: int) -> SeamFinder: ...
+
+
+class NoSeamFinder(SeamFinder):
+    # Functions
+    def find(self, arg1: _typing.Sequence[cv2.UMat], arg2: _typing.Sequence[cv2.typing.Point], arg3: _typing.Sequence[cv2.UMat]) -> _typing.Sequence[cv2.UMat]: ...
+
+
+class PairwiseSeamFinder(SeamFinder):
+    # Functions
+    def find(self, src: _typing.Sequence[cv2.UMat], corners: _typing.Sequence[cv2.typing.Point], masks: _typing.Sequence[cv2.UMat]) -> _typing.Sequence[cv2.UMat]: ...
+
+
+class VoronoiSeamFinder(PairwiseSeamFinder):
+    # Functions
+    def find(self, src: _typing.Sequence[cv2.UMat], corners: _typing.Sequence[cv2.typing.Point], masks: _typing.Sequence[cv2.UMat]) -> _typing.Sequence[cv2.UMat]: ...
+
+
+class DpSeamFinder(SeamFinder):
+    # Functions
+    def __init__(self, costFunc: str) -> None: ...
+
+    def setCostFunction(self, val: str) -> None: ...
+
+
+class GraphCutSeamFinder:
+    # Functions
+    def __init__(self, cost_type: str, terminal_cost: float = ..., bad_region_penalty: float = ...) -> None: ...
+
+    def find(self, src: _typing.Sequence[cv2.UMat], corners: _typing.Sequence[cv2.typing.Point], masks: _typing.Sequence[cv2.UMat]) -> _typing.Sequence[cv2.UMat]: ...
+
+
+class Timelapser:
+    # Functions
+    @classmethod
+    def createDefault(cls, type: int) -> Timelapser: ...
+
+    def initialize(self, corners: _typing.Sequence[cv2.typing.Point], sizes: _typing.Sequence[cv2.typing.Size]) -> None: ...
+
+    @_typing.overload
+    def process(self, img: cv2.typing.MatLike, mask: cv2.typing.MatLike, tl: cv2.typing.Point) -> None: ...
+    @_typing.overload
+    def process(self, img: cv2.UMat, mask: cv2.UMat, tl: cv2.typing.Point) -> None: ...
+
+    def getDst(self) -> cv2.UMat: ...
+
+
+class TimelapserCrop(Timelapser):
+    ...
+
+class ProjectorBase:
+    ...
+
+class SphericalProjector(ProjectorBase):
+    # Functions
+    def mapForward(self, x: float, y: float, u: float, v: float) -> None: ...
+
+    def mapBackward(self, u: float, v: float, x: float, y: float) -> None: ...
+
+
+
+# Functions
+def calibrateRotatingCamera(Hs: _typing.Sequence[cv2.typing.MatLike], K: cv2.typing.MatLike | None = ...) -> tuple[bool, cv2.typing.MatLike]: ...
+
+@_typing.overload
+def computeImageFeatures(featuresFinder: cv2.Feature2D, images: _typing.Sequence[cv2.typing.MatLike], masks: _typing.Sequence[cv2.typing.MatLike] | None = ...) -> _typing.Sequence[ImageFeatures]: ...
+@_typing.overload
+def computeImageFeatures(featuresFinder: cv2.Feature2D, images: _typing.Sequence[cv2.UMat], masks: _typing.Sequence[cv2.UMat] | None = ...) -> _typing.Sequence[ImageFeatures]: ...
+
+@_typing.overload
+def computeImageFeatures2(featuresFinder: cv2.Feature2D, image: cv2.typing.MatLike, mask: cv2.typing.MatLike | None = ...) -> ImageFeatures: ...
+@_typing.overload
+def computeImageFeatures2(featuresFinder: cv2.Feature2D, image: cv2.UMat, mask: cv2.UMat | None = ...) -> ImageFeatures: ...
+
+@_typing.overload
+def createLaplacePyr(img: cv2.typing.MatLike, num_levels: int, pyr: _typing.Sequence[cv2.UMat]) -> _typing.Sequence[cv2.UMat]: ...
+@_typing.overload
+def createLaplacePyr(img: cv2.UMat, num_levels: int, pyr: _typing.Sequence[cv2.UMat]) -> _typing.Sequence[cv2.UMat]: ...
+
+@_typing.overload
+def createLaplacePyrGpu(img: cv2.typing.MatLike, num_levels: int, pyr: _typing.Sequence[cv2.UMat]) -> _typing.Sequence[cv2.UMat]: ...
+@_typing.overload
+def createLaplacePyrGpu(img: cv2.UMat, num_levels: int, pyr: _typing.Sequence[cv2.UMat]) -> _typing.Sequence[cv2.UMat]: ...
+
+@_typing.overload
+def createWeightMap(mask: cv2.typing.MatLike, sharpness: float, weight: cv2.typing.MatLike) -> cv2.typing.MatLike: ...
+@_typing.overload
+def createWeightMap(mask: cv2.UMat, sharpness: float, weight: cv2.UMat) -> cv2.UMat: ...
+
+def focalsFromHomography(H: cv2.typing.MatLike, f0: float, f1: float, f0_ok: bool, f1_ok: bool) -> None: ...
+
+def leaveBiggestComponent(features: _typing.Sequence[ImageFeatures], pairwise_matches: _typing.Sequence[MatchesInfo], conf_threshold: float) -> _typing.Sequence[int]: ...
+
+def matchesGraphAsString(paths: _typing.Sequence[str], pairwise_matches: _typing.Sequence[MatchesInfo], conf_threshold: float) -> str: ...
+
+@_typing.overload
+def normalizeUsingWeightMap(weight: cv2.typing.MatLike, src: cv2.typing.MatLike) -> cv2.typing.MatLike: ...
+@_typing.overload
+def normalizeUsingWeightMap(weight: cv2.UMat, src: cv2.UMat) -> cv2.UMat: ...
+
+def overlapRoi(tl1: cv2.typing.Point, tl2: cv2.typing.Point, sz1: cv2.typing.Size, sz2: cv2.typing.Size, roi: cv2.typing.Rect) -> bool: ...
+
+def restoreImageFromLaplacePyr(pyr: _typing.Sequence[cv2.UMat]) -> _typing.Sequence[cv2.UMat]: ...
+
+def restoreImageFromLaplacePyrGpu(pyr: _typing.Sequence[cv2.UMat]) -> _typing.Sequence[cv2.UMat]: ...
+
+@_typing.overload
+def resultRoi(corners: _typing.Sequence[cv2.typing.Point], images: _typing.Sequence[cv2.UMat]) -> cv2.typing.Rect: ...
+@_typing.overload
+def resultRoi(corners: _typing.Sequence[cv2.typing.Point], sizes: _typing.Sequence[cv2.typing.Size]) -> cv2.typing.Rect: ...
+
+def resultRoiIntersection(corners: _typing.Sequence[cv2.typing.Point], sizes: _typing.Sequence[cv2.typing.Size]) -> cv2.typing.Rect: ...
+
+def resultTl(corners: _typing.Sequence[cv2.typing.Point]) -> cv2.typing.Point: ...
+
+def selectRandomSubset(count: int, size: int, subset: _typing.Sequence[int]) -> None: ...
+
+def stitchingLogLevel() -> int: ...
+
+@_typing.overload
+def strip(params: cv2.gapi.ie.PyParams) -> cv2.gapi.GNetParam: ...
+@_typing.overload
+def strip(params: cv2.gapi.onnx.PyParams) -> cv2.gapi.GNetParam: ...
+@_typing.overload
+def strip(params: cv2.gapi.ov.PyParams) -> cv2.gapi.GNetParam: ...
+
+def waveCorrect(rmats: _typing.Sequence[cv2.typing.MatLike], kind: WaveCorrectKind) -> _typing.Sequence[cv2.typing.MatLike]: ...
+
+

evalkit_tf446/lib/python3.10/site-packages/cv2/flann/__init__.pyi

@@ -0,0 +1,64 @@
+__all__: list[str] = []
+
+import cv2
+import cv2.typing
+import typing as _typing
+
+
+# Enumerations
+FLANN_INDEX_TYPE_8U: int
+FLANN_INDEX_TYPE_8S: int
+FLANN_INDEX_TYPE_16U: int
+FLANN_INDEX_TYPE_16S: int
+FLANN_INDEX_TYPE_32S: int
+FLANN_INDEX_TYPE_32F: int
+FLANN_INDEX_TYPE_64F: int
+FLANN_INDEX_TYPE_STRING: int
+FLANN_INDEX_TYPE_BOOL: int
+FLANN_INDEX_TYPE_ALGORITHM: int
+LAST_VALUE_FLANN_INDEX_TYPE: int
+FlannIndexType = int
+"""One of [FLANN_INDEX_TYPE_8U, FLANN_INDEX_TYPE_8S, FLANN_INDEX_TYPE_16U, FLANN_INDEX_TYPE_16S, FLANN_INDEX_TYPE_32S, FLANN_INDEX_TYPE_32F, FLANN_INDEX_TYPE_64F, FLANN_INDEX_TYPE_STRING, FLANN_INDEX_TYPE_BOOL, FLANN_INDEX_TYPE_ALGORITHM, LAST_VALUE_FLANN_INDEX_TYPE]"""
+
+
+
+# Classes
+class Index:
+    # Functions
+    @_typing.overload
+    def __init__(self) -> None: ...
+    @_typing.overload
+    def __init__(self, features: cv2.typing.MatLike, params: cv2.typing.IndexParams, distType: int = ...) -> None: ...
+    @_typing.overload
+    def __init__(self, features: cv2.UMat, params: cv2.typing.IndexParams, distType: int = ...) -> None: ...
+
+    @_typing.overload
+    def build(self, features: cv2.typing.MatLike, params: cv2.typing.IndexParams, distType: int = ...) -> None: ...
+    @_typing.overload
+    def build(self, features: cv2.UMat, params: cv2.typing.IndexParams, distType: int = ...) -> None: ...
+
+    @_typing.overload
+    def knnSearch(self, query: cv2.typing.MatLike, knn: int, indices: cv2.typing.MatLike | None = ..., dists: cv2.typing.MatLike | None = ..., params: cv2.typing.SearchParams = ...) -> tuple[cv2.typing.MatLike, cv2.typing.MatLike]: ...
+    @_typing.overload
+    def knnSearch(self, query: cv2.UMat, knn: int, indices: cv2.UMat | None = ..., dists: cv2.UMat | None = ..., params: cv2.typing.SearchParams = ...) -> tuple[cv2.UMat, cv2.UMat]: ...
+
+    @_typing.overload
+    def radiusSearch(self, query: cv2.typing.MatLike, radius: float, maxResults: int, indices: cv2.typing.MatLike | None = ..., dists: cv2.typing.MatLike | None = ..., params: cv2.typing.SearchParams = ...) -> tuple[int, cv2.typing.MatLike, cv2.typing.MatLike]: ...
+    @_typing.overload
+    def radiusSearch(self, query: cv2.UMat, radius: float, maxResults: int, indices: cv2.UMat | None = ..., dists: cv2.UMat | None = ..., params: cv2.typing.SearchParams = ...) -> tuple[int, cv2.UMat, cv2.UMat]: ...
+
+    def save(self, filename: str) -> None: ...
+
+    @_typing.overload
+    def load(self, features: cv2.typing.MatLike, filename: str) -> bool: ...
+    @_typing.overload
+    def load(self, features: cv2.UMat, filename: str) -> bool: ...
+
+    def release(self) -> None: ...
+
+    def getDistance(self) -> int: ...
+
+    def getAlgorithm(self) -> int: ...
+
+
+

evalkit_tf446/lib/python3.10/site-packages/cv2/gapi/__init__.py

@@ -0,0 +1,323 @@
+__all__ = ['op', 'kernel']
+
+import sys
+import cv2 as cv
+
+# NB: Register function in specific module
+def register(mname):
+    def parameterized(func):
+        sys.modules[mname].__dict__[func.__name__] = func
+        return func
+    return parameterized
+
+
+@register('cv2.gapi')
+def networks(*args):
+    return cv.gapi_GNetPackage(list(map(cv.detail.strip, args)))
+
+
+@register('cv2.gapi')
+def compile_args(*args):
+    return list(map(cv.GCompileArg, args))
+
+
+@register('cv2')
+def GIn(*args):
+    return [*args]
+
+
+@register('cv2')
+def GOut(*args):
+    return [*args]
+
+
+@register('cv2')
+def gin(*args):
+    return [*args]
+
+
+@register('cv2.gapi')
+def descr_of(*args):
+    return [*args]
+
+
+@register('cv2')
+class GOpaque():
+    # NB: Inheritance from c++ class cause segfault.
+    # So just aggregate cv.GOpaqueT instead of inheritance
+    def __new__(cls, argtype):
+        return cv.GOpaqueT(argtype)
+
+    class Bool():
+        def __new__(self):
+            return cv.GOpaqueT(cv.gapi.CV_BOOL)
+
+    class Int():
+        def __new__(self):
+            return cv.GOpaqueT(cv.gapi.CV_INT)
+
+    class Int64():
+        def __new__(self):
+            return cv.GOpaqueT(cv.gapi.CV_INT64)
+
+    class UInt64():
+        def __new__(self):
+            return cv.GOpaqueT(cv.gapi.CV_UINT64)
+
+    class Double():
+        def __new__(self):
+            return cv.GOpaqueT(cv.gapi.CV_DOUBLE)
+
+    class Float():
+        def __new__(self):
+            return cv.GOpaqueT(cv.gapi.CV_FLOAT)
+
+    class String():
+        def __new__(self):
+            return cv.GOpaqueT(cv.gapi.CV_STRING)
+
+    class Point():
+        def __new__(self):
+            return cv.GOpaqueT(cv.gapi.CV_POINT)
+
+    class Point2f():
+        def __new__(self):
+            return cv.GOpaqueT(cv.gapi.CV_POINT2F)
+
+    class Point3f():
+        def __new__(self):
+            return cv.GOpaqueT(cv.gapi.CV_POINT3F)
+
+    class Size():
+        def __new__(self):
+            return cv.GOpaqueT(cv.gapi.CV_SIZE)
+
+    class Rect():
+        def __new__(self):
+            return cv.GOpaqueT(cv.gapi.CV_RECT)
+
+    class Prim():
+        def __new__(self):
+            return cv.GOpaqueT(cv.gapi.CV_DRAW_PRIM)
+
+    class Any():
+        def __new__(self):
+            return cv.GOpaqueT(cv.gapi.CV_ANY)
+
+@register('cv2')
+class GArray():
+    # NB: Inheritance from c++ class cause segfault.
+    # So just aggregate cv.GArrayT instead of inheritance
+    def __new__(cls, argtype):
+        return cv.GArrayT(argtype)
+
+    class Bool():
+        def __new__(self):
+            return cv.GArrayT(cv.gapi.CV_BOOL)
+
+    class Int():
+        def __new__(self):
+            return cv.GArrayT(cv.gapi.CV_INT)
+
+    class Int64():
+        def __new__(self):
+            return cv.GArrayT(cv.gapi.CV_INT64)
+
+    class UInt64():
+        def __new__(self):
+            return cv.GArrayT(cv.gapi.CV_UINT64)
+
+    class Double():
+        def __new__(self):
+            return cv.GArrayT(cv.gapi.CV_DOUBLE)
+
+    class Float():
+        def __new__(self):
+            return cv.GArrayT(cv.gapi.CV_FLOAT)
+
+    class String():
+        def __new__(self):
+            return cv.GArrayT(cv.gapi.CV_STRING)
+
+    class Point():
+        def __new__(self):
+            return cv.GArrayT(cv.gapi.CV_POINT)
+
+    class Point2f():
+        def __new__(self):
+            return cv.GArrayT(cv.gapi.CV_POINT2F)
+
+    class Point3f():
+        def __new__(self):
+            return cv.GArrayT(cv.gapi.CV_POINT3F)
+
+    class Size():
+        def __new__(self):
+            return cv.GArrayT(cv.gapi.CV_SIZE)
+
+    class Rect():
+        def __new__(self):
+            return cv.GArrayT(cv.gapi.CV_RECT)
+
+    class Scalar():
+        def __new__(self):
+            return cv.GArrayT(cv.gapi.CV_SCALAR)
+
+    class Mat():
+        def __new__(self):
+            return cv.GArrayT(cv.gapi.CV_MAT)
+
+    class GMat():
+        def __new__(self):
+            return cv.GArrayT(cv.gapi.CV_GMAT)
+
+    class Prim():
+        def __new__(self):
+            return cv.GArray(cv.gapi.CV_DRAW_PRIM)
+
+    class Any():
+        def __new__(self):
+            return cv.GArray(cv.gapi.CV_ANY)
+
+
+# NB: Top lvl decorator takes arguments
+def op(op_id, in_types, out_types):
+
+    garray_types= {
+            cv.GArray.Bool:    cv.gapi.CV_BOOL,
+            cv.GArray.Int:     cv.gapi.CV_INT,
+            cv.GArray.Int64:   cv.gapi.CV_INT64,
+            cv.GArray.UInt64:  cv.gapi.CV_UINT64,
+            cv.GArray.Double:  cv.gapi.CV_DOUBLE,
+            cv.GArray.Float:   cv.gapi.CV_FLOAT,
+            cv.GArray.String:  cv.gapi.CV_STRING,
+            cv.GArray.Point:   cv.gapi.CV_POINT,
+            cv.GArray.Point2f: cv.gapi.CV_POINT2F,
+            cv.GArray.Point3f: cv.gapi.CV_POINT3F,
+            cv.GArray.Size:    cv.gapi.CV_SIZE,
+            cv.GArray.Rect:    cv.gapi.CV_RECT,
+            cv.GArray.Scalar:  cv.gapi.CV_SCALAR,
+            cv.GArray.Mat:     cv.gapi.CV_MAT,
+            cv.GArray.GMat:    cv.gapi.CV_GMAT,
+            cv.GArray.Prim:    cv.gapi.CV_DRAW_PRIM,
+            cv.GArray.Any:     cv.gapi.CV_ANY
+    }
+
+    gopaque_types= {
+            cv.GOpaque.Size:    cv.gapi.CV_SIZE,
+            cv.GOpaque.Rect:    cv.gapi.CV_RECT,
+            cv.GOpaque.Bool:    cv.gapi.CV_BOOL,
+            cv.GOpaque.Int:     cv.gapi.CV_INT,
+            cv.GOpaque.Int64:   cv.gapi.CV_INT64,
+            cv.GOpaque.UInt64:  cv.gapi.CV_UINT64,
+            cv.GOpaque.Double:  cv.gapi.CV_DOUBLE,
+            cv.GOpaque.Float:   cv.gapi.CV_FLOAT,
+            cv.GOpaque.String:  cv.gapi.CV_STRING,
+            cv.GOpaque.Point:   cv.gapi.CV_POINT,
+            cv.GOpaque.Point2f: cv.gapi.CV_POINT2F,
+            cv.GOpaque.Point3f: cv.gapi.CV_POINT3F,
+            cv.GOpaque.Size:    cv.gapi.CV_SIZE,
+            cv.GOpaque.Rect:    cv.gapi.CV_RECT,
+            cv.GOpaque.Prim:    cv.gapi.CV_DRAW_PRIM,
+            cv.GOpaque.Any:     cv.gapi.CV_ANY
+    }
+
+    type2str = {
+        cv.gapi.CV_BOOL:      'cv.gapi.CV_BOOL' ,
+        cv.gapi.CV_INT:       'cv.gapi.CV_INT' ,
+        cv.gapi.CV_INT64:     'cv.gapi.CV_INT64' ,
+        cv.gapi.CV_UINT64:    'cv.gapi.CV_UINT64' ,
+        cv.gapi.CV_DOUBLE:    'cv.gapi.CV_DOUBLE' ,
+        cv.gapi.CV_FLOAT:     'cv.gapi.CV_FLOAT' ,
+        cv.gapi.CV_STRING:    'cv.gapi.CV_STRING' ,
+        cv.gapi.CV_POINT:     'cv.gapi.CV_POINT' ,
+        cv.gapi.CV_POINT2F:   'cv.gapi.CV_POINT2F' ,
+        cv.gapi.CV_POINT3F:   'cv.gapi.CV_POINT3F' ,
+        cv.gapi.CV_SIZE:      'cv.gapi.CV_SIZE',
+        cv.gapi.CV_RECT:      'cv.gapi.CV_RECT',
+        cv.gapi.CV_SCALAR:    'cv.gapi.CV_SCALAR',
+        cv.gapi.CV_MAT:       'cv.gapi.CV_MAT',
+        cv.gapi.CV_GMAT:      'cv.gapi.CV_GMAT',
+        cv.gapi.CV_DRAW_PRIM: 'cv.gapi.CV_DRAW_PRIM'
+    }
+
+    # NB: Second lvl decorator takes class to decorate
+    def op_with_params(cls):
+        if not in_types:
+            raise Exception('{} operation should have at least one input!'.format(cls.__name__))
+
+        if not out_types:
+            raise Exception('{} operation should have at least one output!'.format(cls.__name__))
+
+        for i, t in enumerate(out_types):
+            if t not in [cv.GMat, cv.GScalar, *garray_types, *gopaque_types]:
+                   raise Exception('{} unsupported output type: {} in position: {}'
+                           .format(cls.__name__, t.__name__, i))
+
+        def on(*args):
+            if len(in_types) != len(args):
+                raise Exception('Invalid number of input elements!\nExpected: {}, Actual: {}'
+                        .format(len(in_types), len(args)))
+
+            for i, (t, a) in enumerate(zip(in_types, args)):
+                if t in garray_types:
+                    if not isinstance(a, cv.GArrayT):
+                        raise Exception("{} invalid type for argument {}.\nExpected: {}, Actual: {}"
+                                .format(cls.__name__, i, cv.GArrayT.__name__, type(a).__name__))
+
+                    elif a.type() != garray_types[t]:
+                        raise Exception("{} invalid GArrayT type for argument {}.\nExpected: {}, Actual: {}"
+                                .format(cls.__name__, i, type2str[garray_types[t]], type2str[a.type()]))
+
+                elif t in gopaque_types:
+                    if not isinstance(a, cv.GOpaqueT):
+                        raise Exception("{} invalid type for argument {}.\nExpected: {}, Actual: {}"
+                                .format(cls.__name__, i, cv.GOpaqueT.__name__, type(a).__name__))
+
+                    elif a.type() != gopaque_types[t]:
+                        raise Exception("{} invalid GOpaque type for argument {}.\nExpected: {}, Actual: {}"
+                                .format(cls.__name__, i, type2str[gopaque_types[t]], type2str[a.type()]))
+
+                else:
+                    if t != type(a):
+                        raise Exception('{} invalid input type for argument {}.\nExpected: {}, Actual: {}'
+                                .format(cls.__name__, i, t.__name__, type(a).__name__))
+
+            op = cv.gapi.__op(op_id, cls.outMeta, *args)
+
+            out_protos = []
+            for i, out_type in enumerate(out_types):
+                if out_type == cv.GMat:
+                    out_protos.append(op.getGMat())
+                elif out_type == cv.GScalar:
+                    out_protos.append(op.getGScalar())
+                elif out_type in gopaque_types:
+                    out_protos.append(op.getGOpaque(gopaque_types[out_type]))
+                elif out_type in garray_types:
+                    out_protos.append(op.getGArray(garray_types[out_type]))
+                else:
+                    raise Exception("""In {}: G-API operation can't produce the output with type: {} in position: {}"""
+                            .format(cls.__name__, out_type.__name__, i))
+
+            return tuple(out_protos) if len(out_protos) != 1 else out_protos[0]
+
+        # NB: Extend operation class
+        cls.id = op_id
+        cls.on = staticmethod(on)
+        return cls
+
+    return op_with_params
+
+
+def kernel(op_cls):
+    # NB: Second lvl decorator takes class to decorate
+    def kernel_with_params(cls):
+        # NB: Add new members to kernel class
+        cls.id      = op_cls.id
+        cls.outMeta = op_cls.outMeta
+        return cls
+
+    return kernel_with_params
+
+
+cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline

evalkit_tf446/lib/python3.10/site-packages/cv2/gapi/__init__.pyi

@@ -0,0 +1,349 @@
+__all__: list[str] = []
+
+import cv2
+import cv2.typing
+import typing as _typing
+
+
+from cv2.gapi import core as core
+from cv2.gapi import ie as ie
+from cv2.gapi import imgproc as imgproc
+from cv2.gapi import oak as oak
+from cv2.gapi import onnx as onnx
+from cv2.gapi import ot as ot
+from cv2.gapi import ov as ov
+from cv2.gapi import own as own
+from cv2.gapi import render as render
+from cv2.gapi import streaming as streaming
+from cv2.gapi import video as video
+from cv2.gapi import wip as wip
+
+
+# Enumerations
+StereoOutputFormat_DEPTH_FLOAT16: int
+STEREO_OUTPUT_FORMAT_DEPTH_FLOAT16: int
+StereoOutputFormat_DEPTH_FLOAT32: int
+STEREO_OUTPUT_FORMAT_DEPTH_FLOAT32: int
+StereoOutputFormat_DISPARITY_FIXED16_11_5: int
+STEREO_OUTPUT_FORMAT_DISPARITY_FIXED16_11_5: int
+StereoOutputFormat_DISPARITY_FIXED16_12_4: int
+STEREO_OUTPUT_FORMAT_DISPARITY_FIXED16_12_4: int
+StereoOutputFormat_DEPTH_16F: int
+STEREO_OUTPUT_FORMAT_DEPTH_16F: int
+StereoOutputFormat_DEPTH_32F: int
+STEREO_OUTPUT_FORMAT_DEPTH_32F: int
+StereoOutputFormat_DISPARITY_16Q_10_5: int
+STEREO_OUTPUT_FORMAT_DISPARITY_16Q_10_5: int
+StereoOutputFormat_DISPARITY_16Q_11_4: int
+STEREO_OUTPUT_FORMAT_DISPARITY_16Q_11_4: int
+StereoOutputFormat = int
+"""One of [StereoOutputFormat_DEPTH_FLOAT16, STEREO_OUTPUT_FORMAT_DEPTH_FLOAT16, StereoOutputFormat_DEPTH_FLOAT32, STEREO_OUTPUT_FORMAT_DEPTH_FLOAT32, StereoOutputFormat_DISPARITY_FIXED16_11_5, STEREO_OUTPUT_FORMAT_DISPARITY_FIXED16_11_5, StereoOutputFormat_DISPARITY_FIXED16_12_4, STEREO_OUTPUT_FORMAT_DISPARITY_FIXED16_12_4, StereoOutputFormat_DEPTH_16F, STEREO_OUTPUT_FORMAT_DEPTH_16F, StereoOutputFormat_DEPTH_32F, STEREO_OUTPUT_FORMAT_DEPTH_32F, StereoOutputFormat_DISPARITY_16Q_10_5, STEREO_OUTPUT_FORMAT_DISPARITY_16Q_10_5, StereoOutputFormat_DISPARITY_16Q_11_4, STEREO_OUTPUT_FORMAT_DISPARITY_16Q_11_4]"""
+
+CV_BOOL: int
+CV_INT: int
+CV_INT64: int
+CV_UINT64: int
+CV_DOUBLE: int
+CV_FLOAT: int
+CV_STRING: int
+CV_POINT: int
+CV_POINT2F: int
+CV_POINT3F: int
+CV_SIZE: int
+CV_RECT: int
+CV_SCALAR: int
+CV_MAT: int
+CV_GMAT: int
+CV_DRAW_PRIM: int
+CV_ANY: int
+ArgType = int
+"""One of [CV_BOOL, CV_INT, CV_INT64, CV_UINT64, CV_DOUBLE, CV_FLOAT, CV_STRING, CV_POINT, CV_POINT2F, CV_POINT3F, CV_SIZE, CV_RECT, CV_SCALAR, CV_MAT, CV_GMAT, CV_DRAW_PRIM, CV_ANY]"""
+
+
+
+# Classes
+class GNetParam:
+    ...
+
+class GNetPackage:
+    # Functions
+    @_typing.overload
+    def __init__(self) -> None: ...
+    @_typing.overload
+    def __init__(self, nets: _typing.Sequence[GNetParam]) -> None: ...
+
+
+
+# Functions
+def BGR2Gray(src: cv2.GMat) -> cv2.GMat: ...
+
+def BGR2I420(src: cv2.GMat) -> cv2.GMat: ...
+
+def BGR2LUV(src: cv2.GMat) -> cv2.GMat: ...
+
+def BGR2RGB(src: cv2.GMat) -> cv2.GMat: ...
+
+def BGR2YUV(src: cv2.GMat) -> cv2.GMat: ...
+
+def BayerGR2RGB(src_gr: cv2.GMat) -> cv2.GMat: ...
+
+def Canny(image: cv2.GMat, threshold1: float, threshold2: float, apertureSize: int = ..., L2gradient: bool = ...) -> cv2.GMat: ...
+
+def I4202BGR(src: cv2.GMat) -> cv2.GMat: ...
+
+def I4202RGB(src: cv2.GMat) -> cv2.GMat: ...
+
+def LUT(src: cv2.GMat, lut: cv2.typing.MatLike) -> cv2.GMat: ...
+
+def LUV2BGR(src: cv2.GMat) -> cv2.GMat: ...
+
+def Laplacian(src: cv2.GMat, ddepth: int, ksize: int = ..., scale: float = ..., delta: float = ..., borderType: int = ...) -> cv2.GMat: ...
+
+def NV12toBGR(src_y: cv2.GMat, src_uv: cv2.GMat) -> cv2.GMat: ...
+
+def NV12toGray(src_y: cv2.GMat, src_uv: cv2.GMat) -> cv2.GMat: ...
+
+def NV12toRGB(src_y: cv2.GMat, src_uv: cv2.GMat) -> cv2.GMat: ...
+
+@_typing.overload
+def RGB2Gray(src: cv2.GMat) -> cv2.GMat: ...
+@_typing.overload
+def RGB2Gray(src: cv2.GMat, rY: float, gY: float, bY: float) -> cv2.GMat: ...
+
+def RGB2HSV(src: cv2.GMat) -> cv2.GMat: ...
+
+def RGB2I420(src: cv2.GMat) -> cv2.GMat: ...
+
+def RGB2Lab(src: cv2.GMat) -> cv2.GMat: ...
+
+def RGB2YUV(src: cv2.GMat) -> cv2.GMat: ...
+
+def RGB2YUV422(src: cv2.GMat) -> cv2.GMat: ...
+
+def Sobel(src: cv2.GMat, ddepth: int, dx: int, dy: int, ksize: int = ..., scale: float = ..., delta: float = ..., borderType: int = ..., borderValue: cv2.typing.Scalar = ...) -> cv2.GMat: ...
+
+def SobelXY(src: cv2.GMat, ddepth: int, order: int, ksize: int = ..., scale: float = ..., delta: float = ..., borderType: int = ..., borderValue: cv2.typing.Scalar = ...) -> tuple[cv2.GMat, cv2.GMat]: ...
+
+def YUV2BGR(src: cv2.GMat) -> cv2.GMat: ...
+
+def YUV2RGB(src: cv2.GMat) -> cv2.GMat: ...
+
+def absDiff(src1: cv2.GMat, src2: cv2.GMat) -> cv2.GMat: ...
+
+def absDiffC(src: cv2.GMat, c: cv2.GScalar) -> cv2.GMat: ...
+
+def add(src1: cv2.GMat, src2: cv2.GMat, ddepth: int = ...) -> cv2.GMat: ...
+
+@_typing.overload
+def addC(src1: cv2.GMat, c: cv2.GScalar, ddepth: int = ...) -> cv2.GMat: ...
+@_typing.overload
+def addC(c: cv2.GScalar, src1: cv2.GMat, ddepth: int = ...) -> cv2.GMat: ...
+
+def addWeighted(src1: cv2.GMat, alpha: float, src2: cv2.GMat, beta: float, gamma: float, ddepth: int = ...) -> cv2.GMat: ...
+
+def bilateralFilter(src: cv2.GMat, d: int, sigmaColor: float, sigmaSpace: float, borderType: int = ...) -> cv2.GMat: ...
+
+@_typing.overload
+def bitwise_and(src1: cv2.GMat, src2: cv2.GMat) -> cv2.GMat: ...
+@_typing.overload
+def bitwise_and(src1: cv2.GMat, src2: cv2.GScalar) -> cv2.GMat: ...
+
+def bitwise_not(src: cv2.GMat) -> cv2.GMat: ...
+
+@_typing.overload
+def bitwise_or(src1: cv2.GMat, src2: cv2.GMat) -> cv2.GMat: ...
+@_typing.overload
+def bitwise_or(src1: cv2.GMat, src2: cv2.GScalar) -> cv2.GMat: ...
+
+@_typing.overload
+def bitwise_xor(src1: cv2.GMat, src2: cv2.GMat) -> cv2.GMat: ...
+@_typing.overload
+def bitwise_xor(src1: cv2.GMat, src2: cv2.GScalar) -> cv2.GMat: ...
+
+def blur(src: cv2.GMat, ksize: cv2.typing.Size, anchor: cv2.typing.Point = ..., borderType: int = ..., borderValue: cv2.typing.Scalar = ...) -> cv2.GMat: ...
+
+@_typing.overload
+def boundingRect(src: cv2.GMat) -> cv2.GOpaqueT: ...
+@_typing.overload
+def boundingRect(src: cv2.GArrayT) -> cv2.GOpaqueT: ...
+@_typing.overload
+def boundingRect(src: cv2.GArrayT) -> cv2.GOpaqueT: ...
+
+def boxFilter(src: cv2.GMat, dtype: int, ksize: cv2.typing.Size, anchor: cv2.typing.Point = ..., normalize: bool = ..., borderType: int = ..., borderValue: cv2.typing.Scalar = ...) -> cv2.GMat: ...
+
+def cartToPolar(x: cv2.GMat, y: cv2.GMat, angleInDegrees: bool = ...) -> tuple[cv2.GMat, cv2.GMat]: ...
+
+@_typing.overload
+def cmpEQ(src1: cv2.GMat, src2: cv2.GMat) -> cv2.GMat: ...
+@_typing.overload
+def cmpEQ(src1: cv2.GMat, src2: cv2.GScalar) -> cv2.GMat: ...
+
+@_typing.overload
+def cmpGE(src1: cv2.GMat, src2: cv2.GMat) -> cv2.GMat: ...
+@_typing.overload
+def cmpGE(src1: cv2.GMat, src2: cv2.GScalar) -> cv2.GMat: ...
+
+@_typing.overload
+def cmpGT(src1: cv2.GMat, src2: cv2.GMat) -> cv2.GMat: ...
+@_typing.overload
+def cmpGT(src1: cv2.GMat, src2: cv2.GScalar) -> cv2.GMat: ...
+
+@_typing.overload
+def cmpLE(src1: cv2.GMat, src2: cv2.GMat) -> cv2.GMat: ...
+@_typing.overload
+def cmpLE(src1: cv2.GMat, src2: cv2.GScalar) -> cv2.GMat: ...
+
+@_typing.overload
+def cmpLT(src1: cv2.GMat, src2: cv2.GMat) -> cv2.GMat: ...
+@_typing.overload
+def cmpLT(src1: cv2.GMat, src2: cv2.GScalar) -> cv2.GMat: ...
+
+@_typing.overload
+def cmpNE(src1: cv2.GMat, src2: cv2.GMat) -> cv2.GMat: ...
+@_typing.overload
+def cmpNE(src1: cv2.GMat, src2: cv2.GScalar) -> cv2.GMat: ...
+
+def combine(lhs: cv2.GKernelPackage, rhs: cv2.GKernelPackage) -> cv2.GKernelPackage: ...
+
+@_typing.overload
+def concatHor(src1: cv2.GMat, src2: cv2.GMat) -> cv2.GMat: ...
+@_typing.overload
+def concatHor(v: _typing.Sequence[cv2.GMat]) -> cv2.GMat: ...
+
+@_typing.overload
+def concatVert(src1: cv2.GMat, src2: cv2.GMat) -> cv2.GMat: ...
+@_typing.overload
+def concatVert(v: _typing.Sequence[cv2.GMat]) -> cv2.GMat: ...
+
+def convertTo(src: cv2.GMat, rdepth: int, alpha: float = ..., beta: float = ...) -> cv2.GMat: ...
+
+def copy(in_: cv2.GMat) -> cv2.GMat: ...
+
+def countNonZero(src: cv2.GMat) -> cv2.GOpaqueT: ...
+
+def crop(src: cv2.GMat, rect: cv2.typing.Rect) -> cv2.GMat: ...
+
+def dilate(src: cv2.GMat, kernel: cv2.typing.MatLike, anchor: cv2.typing.Point = ..., iterations: int = ..., borderType: int = ..., borderValue: cv2.typing.Scalar = ...) -> cv2.GMat: ...
+
+def dilate3x3(src: cv2.GMat, iterations: int = ..., borderType: int = ..., borderValue: cv2.typing.Scalar = ...) -> cv2.GMat: ...
+
+def div(src1: cv2.GMat, src2: cv2.GMat, scale: float, ddepth: int = ...) -> cv2.GMat: ...
+
+def divC(src: cv2.GMat, divisor: cv2.GScalar, scale: float, ddepth: int = ...) -> cv2.GMat: ...
+
+def divRC(divident: cv2.GScalar, src: cv2.GMat, scale: float, ddepth: int = ...) -> cv2.GMat: ...
+
+def equalizeHist(src: cv2.GMat) -> cv2.GMat: ...
+
+def erode(src: cv2.GMat, kernel: cv2.typing.MatLike, anchor: cv2.typing.Point = ..., iterations: int = ..., borderType: int = ..., borderValue: cv2.typing.Scalar = ...) -> cv2.GMat: ...
+
+def erode3x3(src: cv2.GMat, iterations: int = ..., borderType: int = ..., borderValue: cv2.typing.Scalar = ...) -> cv2.GMat: ...
+
+def filter2D(src: cv2.GMat, ddepth: int, kernel: cv2.typing.MatLike, anchor: cv2.typing.Point = ..., delta: cv2.typing.Scalar = ..., borderType: int = ..., borderValue: cv2.typing.Scalar = ...) -> cv2.GMat: ...
+
+def flip(src: cv2.GMat, flipCode: int) -> cv2.GMat: ...
+
+def gaussianBlur(src: cv2.GMat, ksize: cv2.typing.Size, sigmaX: float, sigmaY: float = ..., borderType: int = ..., borderValue: cv2.typing.Scalar = ...) -> cv2.GMat: ...
+
+def goodFeaturesToTrack(image: cv2.GMat, maxCorners: int, qualityLevel: float, minDistance: float, mask: cv2.typing.MatLike | None = ..., blockSize: int = ..., useHarrisDetector: bool = ..., k: float = ...) -> cv2.GArrayT: ...
+
+def inRange(src: cv2.GMat, threshLow: cv2.GScalar, threshUp: cv2.GScalar) -> cv2.GMat: ...
+
+@_typing.overload
+def infer(name: str, inputs: cv2.GInferInputs) -> cv2.GInferOutputs: ...
+@_typing.overload
+def infer(name: str, roi: cv2.GOpaqueT, inputs: cv2.GInferInputs) -> cv2.GInferOutputs: ...
+@_typing.overload
+def infer(name: str, rois: cv2.GArrayT, inputs: cv2.GInferInputs) -> cv2.GInferListOutputs: ...
+
+def infer2(name: str, in_: cv2.GMat, inputs: cv2.GInferListInputs) -> cv2.GInferListOutputs: ...
+
+def integral(src: cv2.GMat, sdepth: int = ..., sqdepth: int = ...) -> tuple[cv2.GMat, cv2.GMat]: ...
+
+@_typing.overload
+def kmeans(data: cv2.GMat, K: int, bestLabels: cv2.GMat, criteria: cv2.typing.TermCriteria, attempts: int, flags: cv2.KmeansFlags) -> tuple[cv2.GOpaqueT, cv2.GMat, cv2.GMat]: ...
+@_typing.overload
+def kmeans(data: cv2.GMat, K: int, criteria: cv2.typing.TermCriteria, attempts: int, flags: cv2.KmeansFlags) -> tuple[cv2.GOpaqueT, cv2.GMat, cv2.GMat]: ...
+@_typing.overload
+def kmeans(data: cv2.GArrayT, K: int, bestLabels: cv2.GArrayT, criteria: cv2.typing.TermCriteria, attempts: int, flags: cv2.KmeansFlags) -> tuple[cv2.GOpaqueT, cv2.GArrayT, cv2.GArrayT]: ...
+@_typing.overload
+def kmeans(data: cv2.GArrayT, K: int, bestLabels: cv2.GArrayT, criteria: cv2.typing.TermCriteria, attempts: int, flags: cv2.KmeansFlags) -> tuple[cv2.GOpaqueT, cv2.GArrayT, cv2.GArrayT]: ...
+
+def mask(src: cv2.GMat, mask: cv2.GMat) -> cv2.GMat: ...
+
+def max(src1: cv2.GMat, src2: cv2.GMat) -> cv2.GMat: ...
+
+def mean(src: cv2.GMat) -> cv2.GScalar: ...
+
+def medianBlur(src: cv2.GMat, ksize: int) -> cv2.GMat: ...
+
+def merge3(src1: cv2.GMat, src2: cv2.GMat, src3: cv2.GMat) -> cv2.GMat: ...
+
+def merge4(src1: cv2.GMat, src2: cv2.GMat, src3: cv2.GMat, src4: cv2.GMat) -> cv2.GMat: ...
+
+def min(src1: cv2.GMat, src2: cv2.GMat) -> cv2.GMat: ...
+
+def morphologyEx(src: cv2.GMat, op: cv2.MorphTypes, kernel: cv2.typing.MatLike, anchor: cv2.typing.Point = ..., iterations: int = ..., borderType: cv2.BorderTypes = ..., borderValue: cv2.typing.Scalar = ...) -> cv2.GMat: ...
+
+def mul(src1: cv2.GMat, src2: cv2.GMat, scale: float = ..., ddepth: int = ...) -> cv2.GMat: ...
+
+@_typing.overload
+def mulC(src: cv2.GMat, multiplier: float, ddepth: int = ...) -> cv2.GMat: ...
+@_typing.overload
+def mulC(src: cv2.GMat, multiplier: cv2.GScalar, ddepth: int = ...) -> cv2.GMat: ...
+@_typing.overload
+def mulC(multiplier: cv2.GScalar, src: cv2.GMat, ddepth: int = ...) -> cv2.GMat: ...
+
+def normInf(src: cv2.GMat) -> cv2.GScalar: ...
+
+def normL1(src: cv2.GMat) -> cv2.GScalar: ...
+
+def normL2(src: cv2.GMat) -> cv2.GScalar: ...
+
+def normalize(src: cv2.GMat, alpha: float, beta: float, norm_type: int, ddepth: int = ...) -> cv2.GMat: ...
+
+@_typing.overload
+def parseSSD(in_: cv2.GMat, inSz: cv2.GOpaqueT, confidenceThreshold: float = ..., filterLabel: int = ...) -> tuple[cv2.GArrayT, cv2.GArrayT]: ...
+@_typing.overload
+def parseSSD(in_: cv2.GMat, inSz: cv2.GOpaqueT, confidenceThreshold: float, alignmentToSquare: bool, filterOutOfBounds: bool) -> cv2.GArrayT: ...
+
+def parseYolo(in_: cv2.GMat, inSz: cv2.GOpaqueT, confidenceThreshold: float = ..., nmsThreshold: float = ..., anchors: _typing.Sequence[float] = ...) -> tuple[cv2.GArrayT, cv2.GArrayT]: ...
+
+def phase(x: cv2.GMat, y: cv2.GMat, angleInDegrees: bool = ...) -> cv2.GMat: ...
+
+def polarToCart(magnitude: cv2.GMat, angle: cv2.GMat, angleInDegrees: bool = ...) -> tuple[cv2.GMat, cv2.GMat]: ...
+
+def remap(src: cv2.GMat, map1: cv2.typing.MatLike, map2: cv2.typing.MatLike, interpolation: int, borderMode: int = ..., borderValue: cv2.typing.Scalar = ...) -> cv2.GMat: ...
+
+def resize(src: cv2.GMat, dsize: cv2.typing.Size, fx: float = ..., fy: float = ..., interpolation: int = ...) -> cv2.GMat: ...
+
+def select(src1: cv2.GMat, src2: cv2.GMat, mask: cv2.GMat) -> cv2.GMat: ...
+
+def sepFilter(src: cv2.GMat, ddepth: int, kernelX: cv2.typing.MatLike, kernelY: cv2.typing.MatLike, anchor: cv2.typing.Point, delta: cv2.typing.Scalar, borderType: int = ..., borderValue: cv2.typing.Scalar = ...) -> cv2.GMat: ...
+
+def split3(src: cv2.GMat) -> tuple[cv2.GMat, cv2.GMat, cv2.GMat]: ...
+
+def split4(src: cv2.GMat) -> tuple[cv2.GMat, cv2.GMat, cv2.GMat, cv2.GMat]: ...
+
+def sqrt(src: cv2.GMat) -> cv2.GMat: ...
+
+def sub(src1: cv2.GMat, src2: cv2.GMat, ddepth: int = ...) -> cv2.GMat: ...
+
+def subC(src: cv2.GMat, c: cv2.GScalar, ddepth: int = ...) -> cv2.GMat: ...
+
+def subRC(c: cv2.GScalar, src: cv2.GMat, ddepth: int = ...) -> cv2.GMat: ...
+
+def sum(src: cv2.GMat) -> cv2.GScalar: ...
+
+@_typing.overload
+def threshold(src: cv2.GMat, thresh: cv2.GScalar, maxval: cv2.GScalar, type: int) -> cv2.GMat: ...
+@_typing.overload
+def threshold(src: cv2.GMat, maxval: cv2.GScalar, type: int) -> tuple[cv2.GMat, cv2.GScalar]: ...
+
+def transpose(src: cv2.GMat) -> cv2.GMat: ...
+
+def warpAffine(src: cv2.GMat, M: cv2.typing.MatLike, dsize: cv2.typing.Size, flags: int = ..., borderMode: int = ..., borderValue: cv2.typing.Scalar = ...) -> cv2.GMat: ...
+
+def warpPerspective(src: cv2.GMat, M: cv2.typing.MatLike, dsize: cv2.typing.Size, flags: int = ..., borderMode: int = ..., borderValue: cv2.typing.Scalar = ...) -> cv2.GMat: ...
+
+

evalkit_tf446/lib/python3.10/site-packages/cv2/gapi/core/__init__.pyi

@@ -0,0 +1,7 @@
+__all__: list[str] = []
+
+from cv2.gapi.core import cpu as cpu
+from cv2.gapi.core import fluid as fluid
+from cv2.gapi.core import ocl as ocl
+
+

evalkit_tf446/lib/python3.10/site-packages/cv2/gapi/core/cpu/__init__.pyi

@@ -0,0 +1,9 @@
+__all__: list[str] = []
+
+import cv2
+
+
+# Functions
+def kernels() -> cv2.GKernelPackage: ...
+
+

evalkit_tf446/lib/python3.10/site-packages/cv2/gapi/core/fluid/__init__.pyi

@@ -0,0 +1,9 @@
+__all__: list[str] = []
+
+import cv2
+
+
+# Functions
+def kernels() -> cv2.GKernelPackage: ...
+
+

evalkit_tf446/lib/python3.10/site-packages/cv2/gapi/core/ocl/__init__.pyi

@@ -0,0 +1,9 @@
+__all__: list[str] = []
+
+import cv2
+
+
+# Functions
+def kernels() -> cv2.GKernelPackage: ...
+
+

evalkit_tf446/lib/python3.10/site-packages/cv2/gapi/ie/__init__.pyi

@@ -0,0 +1,51 @@
+__all__: list[str] = []
+
+import cv2.typing
+import typing as _typing
+
+
+from cv2.gapi.ie import detail as detail
+
+
+# Enumerations
+TraitAs_TENSOR: int
+TRAIT_AS_TENSOR: int
+TraitAs_IMAGE: int
+TRAIT_AS_IMAGE: int
+TraitAs = int
+"""One of [TraitAs_TENSOR, TRAIT_AS_TENSOR, TraitAs_IMAGE, TRAIT_AS_IMAGE]"""
+
+Sync: int
+SYNC: int
+Async: int
+ASYNC: int
+InferMode = int
+"""One of [Sync, SYNC, Async, ASYNC]"""
+
+
+
+# Classes
+class PyParams:
+    # Functions
+    @_typing.overload
+    def __init__(self) -> None: ...
+    @_typing.overload
+    def __init__(self, tag: str, model: str, weights: str, device: str) -> None: ...
+    @_typing.overload
+    def __init__(self, tag: str, model: str, device: str) -> None: ...
+
+    def constInput(self, layer_name: str, data: cv2.typing.MatLike, hint: TraitAs = ...) -> PyParams: ...
+
+    def cfgNumRequests(self, nireq: int) -> PyParams: ...
+
+    def cfgBatchSize(self, size: int) -> PyParams: ...
+
+
+
+# Functions
+@_typing.overload
+def params(tag: str, model: str, weights: str, device: str) -> PyParams: ...
+@_typing.overload
+def params(tag: str, model: str, device: str) -> PyParams: ...
+
+

evalkit_tf446/lib/python3.10/site-packages/cv2/gapi/ie/detail/__init__.pyi

@@ -0,0 +1,12 @@
+__all__: list[str] = []
+
+ParamDesc_Kind_Load: int
+PARAM_DESC_KIND_LOAD: int
+ParamDesc_Kind_Import: int
+PARAM_DESC_KIND_IMPORT: int
+ParamDesc_Kind = int
+"""One of [ParamDesc_Kind_Load, PARAM_DESC_KIND_LOAD, ParamDesc_Kind_Import, PARAM_DESC_KIND_IMPORT]"""
+
+
+# Classes
+

evalkit_tf446/lib/python3.10/site-packages/cv2/gapi/imgproc/__init__.pyi

@@ -0,0 +1,5 @@
+__all__: list[str] = []
+
+from cv2.gapi.imgproc import fluid as fluid
+
+

evalkit_tf446/lib/python3.10/site-packages/cv2/gapi/imgproc/fluid/__init__.pyi

@@ -0,0 +1,9 @@
+__all__: list[str] = []
+
+import cv2
+
+
+# Functions
+def kernels() -> cv2.GKernelPackage: ...
+
+

evalkit_tf446/lib/python3.10/site-packages/cv2/gapi/oak/__init__.pyi

@@ -0,0 +1,37 @@
+__all__: list[str] = []
+
+EncoderConfig_RateControlMode_CBR: int
+ENCODER_CONFIG_RATE_CONTROL_MODE_CBR: int
+EncoderConfig_RateControlMode_VBR: int
+ENCODER_CONFIG_RATE_CONTROL_MODE_VBR: int
+EncoderConfig_RateControlMode = int
+"""One of [EncoderConfig_RateControlMode_CBR, ENCODER_CONFIG_RATE_CONTROL_MODE_CBR, EncoderConfig_RateControlMode_VBR, ENCODER_CONFIG_RATE_CONTROL_MODE_VBR]"""
+
+EncoderConfig_Profile_H264_BASELINE: int
+ENCODER_CONFIG_PROFILE_H264_BASELINE: int
+EncoderConfig_Profile_H264_HIGH: int
+ENCODER_CONFIG_PROFILE_H264_HIGH: int
+EncoderConfig_Profile_H264_MAIN: int
+ENCODER_CONFIG_PROFILE_H264_MAIN: int
+EncoderConfig_Profile_H265_MAIN: int
+ENCODER_CONFIG_PROFILE_H265_MAIN: int
+EncoderConfig_Profile_MJPEG: int
+ENCODER_CONFIG_PROFILE_MJPEG: int
+EncoderConfig_Profile = int
+"""One of [EncoderConfig_Profile_H264_BASELINE, ENCODER_CONFIG_PROFILE_H264_BASELINE, EncoderConfig_Profile_H264_HIGH, ENCODER_CONFIG_PROFILE_H264_HIGH, EncoderConfig_Profile_H264_MAIN, ENCODER_CONFIG_PROFILE_H264_MAIN, EncoderConfig_Profile_H265_MAIN, ENCODER_CONFIG_PROFILE_H265_MAIN, EncoderConfig_Profile_MJPEG, ENCODER_CONFIG_PROFILE_MJPEG]"""
+
+ColorCameraParams_BoardSocket_RGB: int
+COLOR_CAMERA_PARAMS_BOARD_SOCKET_RGB: int
+ColorCameraParams_BoardSocket_BGR: int
+COLOR_CAMERA_PARAMS_BOARD_SOCKET_BGR: int
+ColorCameraParams_BoardSocket = int
+"""One of [ColorCameraParams_BoardSocket_RGB, COLOR_CAMERA_PARAMS_BOARD_SOCKET_RGB, ColorCameraParams_BoardSocket_BGR, COLOR_CAMERA_PARAMS_BOARD_SOCKET_BGR]"""
+
+ColorCameraParams_Resolution_THE_1080_P: int
+COLOR_CAMERA_PARAMS_RESOLUTION_THE_1080_P: int
+ColorCameraParams_Resolution = int
+"""One of [ColorCameraParams_Resolution_THE_1080_P, COLOR_CAMERA_PARAMS_RESOLUTION_THE_1080_P]"""
+
+
+# Classes
+

evalkit_tf446/lib/python3.10/site-packages/cv2/gapi/onnx/__init__.pyi

@@ -0,0 +1,51 @@
+__all__: list[str] = []
+
+import cv2.gapi.onnx.ep
+import cv2.typing
+import typing as _typing
+
+
+from cv2.gapi.onnx import ep as ep
+
+
+# Enumerations
+TraitAs_TENSOR: int
+TRAIT_AS_TENSOR: int
+TraitAs_IMAGE: int
+TRAIT_AS_IMAGE: int
+TraitAs = int
+"""One of [TraitAs_TENSOR, TRAIT_AS_TENSOR, TraitAs_IMAGE, TRAIT_AS_IMAGE]"""
+
+
+
+# Classes
+class PyParams:
+    # Functions
+    @_typing.overload
+    def __init__(self) -> None: ...
+    @_typing.overload
+    def __init__(self, tag: str, model_path: str) -> None: ...
+
+    def cfgMeanStd(self, layer_name: str, m: cv2.typing.Scalar, s: cv2.typing.Scalar) -> PyParams: ...
+
+    def cfgNormalize(self, layer_name: str, flag: bool) -> PyParams: ...
+
+    @_typing.overload
+    def cfgAddExecutionProvider(self, ep: cv2.gapi.onnx.ep.OpenVINO) -> PyParams: ...
+    @_typing.overload
+    def cfgAddExecutionProvider(self, ep: cv2.gapi.onnx.ep.DirectML) -> PyParams: ...
+    @_typing.overload
+    def cfgAddExecutionProvider(self, ep: cv2.gapi.onnx.ep.CoreML) -> PyParams: ...
+    @_typing.overload
+    def cfgAddExecutionProvider(self, ep: cv2.gapi.onnx.ep.CUDA) -> PyParams: ...
+    @_typing.overload
+    def cfgAddExecutionProvider(self, ep: cv2.gapi.onnx.ep.TensorRT) -> PyParams: ...
+
+    def cfgDisableMemPattern(self) -> PyParams: ...
+
+
+
+# Functions
+def params(tag: str, model_path: str) -> PyParams: ...
+
+

evalkit_tf446/lib/python3.10/site-packages/cv2/gapi/onnx/ep/__init__.pyi

@@ -0,0 +1,63 @@
+__all__: list[str] = []
+
+import cv2.typing
+import typing as _typing
+
+
+# Classes
+class CoreML:
+    # Functions
+    def __init__(self) -> None: ...
+
+    def cfgUseCPUOnly(self) -> CoreML: ...
+
+    def cfgEnableOnSubgraph(self) -> CoreML: ...
+
+    def cfgEnableOnlyNeuralEngine(self) -> CoreML: ...
+
+
+class CUDA:
+    # Functions
+    @_typing.overload
+    def __init__(self) -> None: ...
+    @_typing.overload
+    def __init__(self, dev_id: int) -> None: ...
+
+
+class TensorRT:
+    # Functions
+    @_typing.overload
+    def __init__(self) -> None: ...
+    @_typing.overload
+    def __init__(self, dev_id: int) -> None: ...
+
+
+class OpenVINO:
+    # Functions
+    @_typing.overload
+    def __init__(self) -> None: ...
+    @_typing.overload
+    def __init__(self, dev_type: str) -> None: ...
+    @_typing.overload
+    def __init__(self, params: cv2.typing.map_string_and_string) -> None: ...
+
+    def cfgCacheDir(self, dir: str) -> OpenVINO: ...
+
+    def cfgNumThreads(self, nthreads: int) -> OpenVINO: ...
+
+    def cfgEnableOpenCLThrottling(self) -> OpenVINO: ...
+
+    def cfgEnableDynamicShapes(self) -> OpenVINO: ...
+
+
+class DirectML:
+    # Functions
+    @_typing.overload
+    def __init__(self) -> None: ...
+    @_typing.overload
+    def __init__(self, device_id: int) -> None: ...
+    @_typing.overload
+    def __init__(self, adapter_name: str) -> None: ...
+
+
+

evalkit_tf446/lib/python3.10/site-packages/cv2/gapi/ot/__init__.pyi

@@ -0,0 +1,32 @@
+__all__: list[str] = []
+
+import cv2
+import typing as _typing
+
+
+from cv2.gapi.ot import cpu as cpu
+
+
+# Enumerations
+NEW: int
+TRACKED: int
+LOST: int
+TrackingStatus = int
+"""One of [NEW, TRACKED, LOST]"""
+
+
+
+# Classes
+class ObjectTrackerParams:
+    max_num_objects: int
+    input_image_format: int
+    tracking_per_class: bool
+
+
+# Functions
+@_typing.overload
+def track(mat: cv2.GMat, detected_rects: cv2.GArrayT, detected_class_labels: cv2.GArrayT, delta: float) -> tuple[cv2.GArrayT, cv2.GArrayT, cv2.GArrayT, cv2.GArrayT]: ...
+@_typing.overload
+def track(frame: cv2.GFrame, detected_rects: cv2.GArrayT, detected_class_labels: cv2.GArrayT, delta: float) -> tuple[cv2.GArrayT, cv2.GArrayT, cv2.GArrayT, cv2.GArrayT]: ...
+
+

evalkit_tf446/lib/python3.10/site-packages/cv2/gapi/ot/cpu/__init__.pyi

@@ -0,0 +1,9 @@
+__all__: list[str] = []
+
+import cv2
+
+
+# Functions
+def kernels() -> cv2.GKernelPackage: ...
+
+

evalkit_tf446/lib/python3.10/site-packages/cv2/gapi/ov/__init__.pyi

@@ -0,0 +1,74 @@
+__all__: list[str] = []
+
+import cv2.typing
+import typing as _typing
+
+
+# Classes
+class PyParams:
+    # Functions
+    @_typing.overload
+    def __init__(self) -> None: ...
+    @_typing.overload
+    def __init__(self, tag: str, model_path: str, bin_path: str, device: str) -> None: ...
+    @_typing.overload
+    def __init__(self, tag: str, blob_path: str, device: str) -> None: ...
+
+    def cfgPluginConfig(self, config: cv2.typing.map_string_and_string) -> PyParams: ...
+
+    @_typing.overload
+    def cfgInputTensorLayout(self, tensor_layout: str) -> PyParams: ...
+    @_typing.overload
+    def cfgInputTensorLayout(self, layout_map: cv2.typing.map_string_and_string) -> PyParams: ...
+
+    @_typing.overload
+    def cfgInputModelLayout(self, tensor_layout: str) -> PyParams: ...
+    @_typing.overload
+    def cfgInputModelLayout(self, layout_map: cv2.typing.map_string_and_string) -> PyParams: ...
+
+    @_typing.overload
+    def cfgOutputTensorLayout(self, tensor_layout: str) -> PyParams: ...
+    @_typing.overload
+    def cfgOutputTensorLayout(self, layout_map: cv2.typing.map_string_and_string) -> PyParams: ...
+
+    @_typing.overload
+    def cfgOutputModelLayout(self, tensor_layout: str) -> PyParams: ...
+    @_typing.overload
+    def cfgOutputModelLayout(self, layout_map: cv2.typing.map_string_and_string) -> PyParams: ...
+
+    @_typing.overload
+    def cfgOutputTensorPrecision(self, precision: int) -> PyParams: ...
+    @_typing.overload
+    def cfgOutputTensorPrecision(self, precision_map: cv2.typing.map_string_and_int) -> PyParams: ...
+
+    @_typing.overload
+    def cfgReshape(self, new_shape: _typing.Sequence[int]) -> PyParams: ...
+    @_typing.overload
+    def cfgReshape(self, new_shape_map: cv2.typing.map_string_and_vector_size_t) -> PyParams: ...
+
+    def cfgNumRequests(self, nireq: int) -> PyParams: ...
+
+    @_typing.overload
+    def cfgMean(self, mean_values: _typing.Sequence[float]) -> PyParams: ...
+    @_typing.overload
+    def cfgMean(self, mean_map: cv2.typing.map_string_and_vector_float) -> PyParams: ...
+
+    @_typing.overload
+    def cfgScale(self, scale_values: _typing.Sequence[float]) -> PyParams: ...
+    @_typing.overload
+    def cfgScale(self, scale_map: cv2.typing.map_string_and_vector_float) -> PyParams: ...
+
+    @_typing.overload
+    def cfgResize(self, interpolation: int) -> PyParams: ...
+    @_typing.overload
+    def cfgResize(self, interpolation: cv2.typing.map_string_and_int) -> PyParams: ...
+
+
+
+# Functions
+@_typing.overload
+def params(tag: str, model_path: str, weights: str, device: str) -> PyParams: ...
+@_typing.overload
+def params(tag: str, bin_path: str, device: str) -> PyParams: ...
+
+

evalkit_tf446/lib/python3.10/site-packages/cv2/gapi/own/__init__.pyi

@@ -0,0 +1,5 @@
+__all__: list[str] = []
+
+from cv2.gapi.own import detail as detail
+
+

evalkit_tf446/lib/python3.10/site-packages/cv2/gapi/own/detail/__init__.pyi

@@ -0,0 +1,10 @@
+__all__: list[str] = []
+
+MatHeader_AUTO_STEP: int
+MAT_HEADER_AUTO_STEP: int
+MatHeader_TYPE_MASK: int
+MAT_HEADER_TYPE_MASK: int
+
+
+# Classes
+

evalkit_tf446/lib/python3.10/site-packages/cv2/gapi/render/__init__.pyi

@@ -0,0 +1,5 @@
+__all__: list[str] = []
+
+from cv2.gapi.render import ocv as ocv
+
+

evalkit_tf446/lib/python3.10/site-packages/cv2/gapi/render/ocv/__init__.pyi

@@ -0,0 +1,9 @@
+__all__: list[str] = []
+
+import cv2
+
+
+# Functions
+def kernels() -> cv2.GKernelPackage: ...
+
+

evalkit_tf446/lib/python3.10/site-packages/cv2/gapi/streaming/__init__.pyi

@@ -0,0 +1,42 @@
+__all__: list[str] = []
+
+import cv2
+import typing as _typing
+
+
+# Enumerations
+sync_policy_dont_sync: int
+SYNC_POLICY_DONT_SYNC: int
+sync_policy_drop: int
+SYNC_POLICY_DROP: int
+sync_policy = int
+"""One of [sync_policy_dont_sync, SYNC_POLICY_DONT_SYNC, sync_policy_drop, SYNC_POLICY_DROP]"""
+
+
+
+# Classes
+class queue_capacity:
+    capacity: int
+
+    # Functions
+    def __init__(self, cap: int = ...) -> None: ...
+
+
+
+# Functions
+def desync(g: cv2.GMat) -> cv2.GMat: ...
+
+def seqNo(arg1: cv2.GMat) -> cv2.GOpaqueT: ...
+
+def seq_id(arg1: cv2.GMat) -> cv2.GOpaqueT: ...
+
+@_typing.overload
+def size(src: cv2.GMat) -> cv2.GOpaqueT: ...
+@_typing.overload
+def size(r: cv2.GOpaqueT) -> cv2.GOpaqueT: ...
+@_typing.overload
+def size(src: cv2.GFrame) -> cv2.GOpaqueT: ...
+
+def timestamp(arg1: cv2.GMat) -> cv2.GOpaqueT: ...
+
+

evalkit_tf446/lib/python3.10/site-packages/cv2/gapi/video/__init__.pyi

@@ -0,0 +1,10 @@
+__all__: list[str] = []
+
+# Enumerations
+TYPE_BS_MOG2: int
+TYPE_BS_KNN: int
+BackgroundSubtractorType = int
+"""One of [TYPE_BS_MOG2, TYPE_BS_KNN]"""
+
+
+

evalkit_tf446/lib/python3.10/site-packages/cv2/gapi/wip/__init__.pyi

@@ -0,0 +1,41 @@
+__all__: list[str] = []
+
+import cv2
+import cv2.gapi
+import cv2.gapi.wip.gst
+import cv2.typing
+import typing as _typing
+
+
+from cv2.gapi.wip import draw as draw
+from cv2.gapi.wip import gst as gst
+from cv2.gapi.wip import onevpl as onevpl
+
+
+# Classes
+class GOutputs:
+    # Functions
+    def getGMat(self) -> cv2.GMat: ...
+
+    def getGScalar(self) -> cv2.GScalar: ...
+
+    def getGArray(self, type: cv2.gapi.ArgType) -> cv2.GArrayT: ...
+
+    def getGOpaque(self, type: cv2.gapi.ArgType) -> cv2.GOpaqueT: ...
+
+
+class IStreamSource:
+    ...
+
+
+# Functions
+def get_streaming_source(pipeline: cv2.gapi.wip.gst.GStreamerPipeline, appsinkName: str, outputType: cv2.gapi.wip.gst.GStreamerSource_OutputType = ...) -> IStreamSource: ...
+
+@_typing.overload
+def make_capture_src(path: str, properties: cv2.typing.map_int_and_double = ...) -> IStreamSource: ...
+@_typing.overload
+def make_capture_src(id: int, properties: cv2.typing.map_int_and_double = ...) -> IStreamSource: ...
+
+def make_gst_src(pipeline: str, outputType: cv2.gapi.wip.gst.GStreamerSource_OutputType = ...) -> IStreamSource: ...
+
+

evalkit_tf446/lib/python3.10/site-packages/cv2/gapi/wip/draw/__init__.pyi

@@ -0,0 +1,119 @@
+__all__: list[str] = []
+
+import cv2
+import cv2.typing
+import typing as _typing
+
+
+# Classes
+class Text:
+    text: str
+    org: cv2.typing.Point
+    ff: int
+    fs: float
+    color: cv2.typing.Scalar
+    thick: int
+    lt: int
+    bottom_left_origin: bool
+
+    # Functions
+    @_typing.overload
+    def __init__(self, text_: str, org_: cv2.typing.Point, ff_: int, fs_: float, color_: cv2.typing.Scalar, thick_: int = ..., lt_: int = ..., bottom_left_origin_: bool = ...) -> None: ...
+    @_typing.overload
+    def __init__(self) -> None: ...
+
+
+class Rect:
+    rect: cv2.typing.Rect
+    color: cv2.typing.Scalar
+    thick: int
+    lt: int
+    shift: int
+
+    # Functions
+    @_typing.overload
+    def __init__(self) -> None: ...
+    @_typing.overload
+    def __init__(self, rect_: cv2.typing.Rect2i, color_: cv2.typing.Scalar, thick_: int = ..., lt_: int = ..., shift_: int = ...) -> None: ...
+
+
+class Circle:
+    center: cv2.typing.Point
+    radius: int
+    color: cv2.typing.Scalar
+    thick: int
+    lt: int
+    shift: int
+
+    # Functions
+    @_typing.overload
+    def __init__(self, center_: cv2.typing.Point, radius_: int, color_: cv2.typing.Scalar, thick_: int = ..., lt_: int = ..., shift_: int = ...) -> None: ...
+    @_typing.overload
+    def __init__(self) -> None: ...
+
+
+class Line:
+    pt1: cv2.typing.Point
+    pt2: cv2.typing.Point
+    color: cv2.typing.Scalar
+    thick: int
+    lt: int
+    shift: int
+
+    # Functions
+    @_typing.overload
+    def __init__(self, pt1_: cv2.typing.Point, pt2_: cv2.typing.Point, color_: cv2.typing.Scalar, thick_: int = ..., lt_: int = ..., shift_: int = ...) -> None: ...
+    @_typing.overload
+    def __init__(self) -> None: ...
+
+
+class Mosaic:
+    mos: cv2.typing.Rect
+    cellSz: int
+    decim: int
+
+    # Functions
+    @_typing.overload
+    def __init__(self) -> None: ...
+    @_typing.overload
+    def __init__(self, mos_: cv2.typing.Rect2i, cellSz_: int, decim_: int) -> None: ...
+
+
+class Image:
+    org: cv2.typing.Point
+    img: cv2.typing.MatLike
+    alpha: cv2.typing.MatLike
+
+    # Functions
+    @_typing.overload
+    def __init__(self, org_: cv2.typing.Point, img_: cv2.typing.MatLike, alpha_: cv2.typing.MatLike) -> None: ...
+    @_typing.overload
+    def __init__(self) -> None: ...
+
+
+class Poly:
+    points: _typing.Sequence[cv2.typing.Point]
+    color: cv2.typing.Scalar
+    thick: int
+    lt: int
+    shift: int
+
+    # Functions
+    @_typing.overload
+    def __init__(self, points_: _typing.Sequence[cv2.typing.Point], color_: cv2.typing.Scalar, thick_: int = ..., lt_: int = ..., shift_: int = ...) -> None: ...
+    @_typing.overload
+    def __init__(self) -> None: ...
+
+
+
+# Functions
+@_typing.overload
+def render(bgr: cv2.typing.MatLike, prims: _typing.Sequence[cv2.typing.Prim], args: _typing.Sequence[cv2.GCompileArg] = ...) -> None: ...
+@_typing.overload
+def render(y_plane: cv2.typing.MatLike, uv_plane: cv2.typing.MatLike, prims: _typing.Sequence[cv2.typing.Prim], args: _typing.Sequence[cv2.GCompileArg] = ...) -> None: ...
+
+def render3ch(src: cv2.GMat, prims: cv2.GArrayT) -> cv2.GMat: ...
+
+def renderNV12(y: cv2.GMat, uv: cv2.GMat, prims: cv2.GArrayT) -> tuple[cv2.GMat, cv2.GMat]: ...
+
+

evalkit_tf446/lib/python3.10/site-packages/cv2/gapi/wip/gst/__init__.pyi

@@ -0,0 +1,17 @@
+__all__: list[str] = []
+
+GStreamerSource_OutputType_FRAME: int
+GSTREAMER_SOURCE_OUTPUT_TYPE_FRAME: int
+GStreamerSource_OutputType_MAT: int
+GSTREAMER_SOURCE_OUTPUT_TYPE_MAT: int
+GStreamerSource_OutputType = int
+"""One of [GStreamerSource_OutputType_FRAME, GSTREAMER_SOURCE_OUTPUT_TYPE_FRAME, GStreamerSource_OutputType_MAT, GSTREAMER_SOURCE_OUTPUT_TYPE_MAT]"""
+
+
+# Classes
+class GStreamerPipeline:
+    # Functions
+    def __init__(self, pipeline: str) -> None: ...
+
+
+

evalkit_tf446/lib/python3.10/site-packages/cv2/gapi/wip/onevpl/__init__.pyi

@@ -0,0 +1,16 @@
+__all__: list[str] = []
+
+# Enumerations
+AccelType_HOST: int
+ACCEL_TYPE_HOST: int
+AccelType_DX11: int
+ACCEL_TYPE_DX11: int
+AccelType_VAAPI: int
+ACCEL_TYPE_VAAPI: int
+AccelType_LAST_VALUE: int
+ACCEL_TYPE_LAST_VALUE: int
+AccelType = int
+"""One of [AccelType_HOST, ACCEL_TYPE_HOST, AccelType_DX11, ACCEL_TYPE_DX11, AccelType_VAAPI, ACCEL_TYPE_VAAPI, AccelType_LAST_VALUE, ACCEL_TYPE_LAST_VALUE]"""
+
+
+

evalkit_tf446/lib/python3.10/site-packages/cv2/ipp/__init__.pyi

@@ -0,0 +1,14 @@
+__all__: list[str] = []
+
+# Functions
+def getIppVersion() -> str: ...
+
+def setUseIPP(flag: bool) -> None: ...
+
+def setUseIPP_NotExact(flag: bool) -> None: ...
+
+def useIPP() -> bool: ...
+
+def useIPP_NotExact() -> bool: ...
+
+

evalkit_tf446/lib/python3.10/site-packages/cv2/load_config_py2.py

@@ -0,0 +1,6 @@
+# flake8: noqa
+import sys
+
+if sys.version_info[:2] < (3, 0):
+    def exec_file_wrapper(fpath, g_vars, l_vars):
+        execfile(fpath, g_vars, l_vars)

evalkit_tf446/lib/python3.10/site-packages/cv2/load_config_py3.py

@@ -0,0 +1,9 @@
+# flake8: noqa
+import os
+import sys
+
+if sys.version_info[:2] >= (3, 0):
+    def exec_file_wrapper(fpath, g_vars, l_vars):
+        with open(fpath) as f:
+            code = compile(f.read(), os.path.basename(fpath), 'exec')
+            exec(code, g_vars, l_vars)

evalkit_tf446/lib/python3.10/site-packages/cv2/ogl/__init__.pyi

@@ -0,0 +1,51 @@
+__all__: list[str] = []
+
+# Enumerations
+POINTS: int
+LINES: int
+LINE_LOOP: int
+LINE_STRIP: int
+TRIANGLES: int
+TRIANGLE_STRIP: int
+TRIANGLE_FAN: int
+QUADS: int
+QUAD_STRIP: int
+POLYGON: int
+RenderModes = int
+"""One of [POINTS, LINES, LINE_LOOP, LINE_STRIP, TRIANGLES, TRIANGLE_STRIP, TRIANGLE_FAN, QUADS, QUAD_STRIP, POLYGON]"""
+
+
+Buffer_ARRAY_BUFFER: int
+BUFFER_ARRAY_BUFFER: int
+Buffer_ELEMENT_ARRAY_BUFFER: int
+BUFFER_ELEMENT_ARRAY_BUFFER: int
+Buffer_PIXEL_PACK_BUFFER: int
+BUFFER_PIXEL_PACK_BUFFER: int
+Buffer_PIXEL_UNPACK_BUFFER: int
+BUFFER_PIXEL_UNPACK_BUFFER: int
+Buffer_Target = int
+"""One of [Buffer_ARRAY_BUFFER, BUFFER_ARRAY_BUFFER, Buffer_ELEMENT_ARRAY_BUFFER, BUFFER_ELEMENT_ARRAY_BUFFER, Buffer_PIXEL_PACK_BUFFER, BUFFER_PIXEL_PACK_BUFFER, Buffer_PIXEL_UNPACK_BUFFER, BUFFER_PIXEL_UNPACK_BUFFER]"""
+
+Buffer_READ_ONLY: int
+BUFFER_READ_ONLY: int
+Buffer_WRITE_ONLY: int
+BUFFER_WRITE_ONLY: int
+Buffer_READ_WRITE: int
+BUFFER_READ_WRITE: int
+Buffer_Access = int
+"""One of [Buffer_READ_ONLY, BUFFER_READ_ONLY, Buffer_WRITE_ONLY, BUFFER_WRITE_ONLY, Buffer_READ_WRITE, BUFFER_READ_WRITE]"""
+
+Texture2D_NONE: int
+TEXTURE2D_NONE: int
+Texture2D_DEPTH_COMPONENT: int
+TEXTURE2D_DEPTH_COMPONENT: int
+Texture2D_RGB: int
+TEXTURE2D_RGB: int
+Texture2D_RGBA: int
+TEXTURE2D_RGBA: int
+Texture2D_Format = int
+"""One of [Texture2D_NONE, TEXTURE2D_NONE, Texture2D_DEPTH_COMPONENT, TEXTURE2D_DEPTH_COMPONENT, Texture2D_RGB, TEXTURE2D_RGB, Texture2D_RGBA, TEXTURE2D_RGBA]"""
+
+
+# Classes
+

evalkit_tf446/lib/python3.10/site-packages/cv2/samples/__init__.pyi

@@ -0,0 +1,12 @@
+__all__: list[str] = []
+
+# Functions
+def addSamplesDataSearchPath(path: str) -> None: ...
+
+def addSamplesDataSearchSubDirectory(subdir: str) -> None: ...
+
+def findFile(relative_path: str, required: bool = ..., silentMode: bool = ...) -> str: ...
+
+def findFileOrKeep(relative_path: str, silentMode: bool = ...) -> str: ...
+
+

evalkit_tf446/lib/python3.10/site-packages/cv2/segmentation/__init__.pyi

@@ -0,0 +1,39 @@
+__all__: list[str] = []
+
+import cv2
+import cv2.typing
+import typing as _typing
+
+
+# Classes
+class IntelligentScissorsMB:
+    # Functions
+    def __init__(self) -> None: ...
+
+    def setWeights(self, weight_non_edge: float, weight_gradient_direction: float, weight_gradient_magnitude: float) -> IntelligentScissorsMB: ...
+
+    def setGradientMagnitudeMaxLimit(self, gradient_magnitude_threshold_max: float = ...) -> IntelligentScissorsMB: ...
+
+    def setEdgeFeatureZeroCrossingParameters(self, gradient_magnitude_min_value: float = ...) -> IntelligentScissorsMB: ...
+
+    def setEdgeFeatureCannyParameters(self, threshold1: float, threshold2: float, apertureSize: int = ..., L2gradient: bool = ...) -> IntelligentScissorsMB: ...
+
+    @_typing.overload
+    def applyImage(self, image: cv2.typing.MatLike) -> IntelligentScissorsMB: ...
+    @_typing.overload
+    def applyImage(self, image: cv2.UMat) -> IntelligentScissorsMB: ...
+
+    @_typing.overload
+    def applyImageFeatures(self, non_edge: cv2.typing.MatLike, gradient_direction: cv2.typing.MatLike, gradient_magnitude: cv2.typing.MatLike, image: cv2.typing.MatLike | None = ...) -> IntelligentScissorsMB: ...
+    @_typing.overload
+    def applyImageFeatures(self, non_edge: cv2.UMat, gradient_direction: cv2.UMat, gradient_magnitude: cv2.UMat, image: cv2.UMat | None = ...) -> IntelligentScissorsMB: ...
+
+    def buildMap(self, sourcePt: cv2.typing.Point) -> None: ...
+
+    @_typing.overload
+    def getContour(self, targetPt: cv2.typing.Point, contour: cv2.typing.MatLike | None = ..., backward: bool = ...) -> cv2.typing.MatLike: ...
+    @_typing.overload
+    def getContour(self, targetPt: cv2.typing.Point, contour: cv2.UMat | None = ..., backward: bool = ...) -> cv2.UMat: ...
+
+
+

evalkit_tf446/lib/python3.10/site-packages/cv2/typing/__init__.py

@@ -0,0 +1,178 @@
+__all__ = [
+    "IntPointer",
+    "MatLike",
+    "MatShape",
+    "Size",
+    "Size2f",
+    "Scalar",
+    "Point",
+    "Point2i",
+    "Point2f",
+    "Point2d",
+    "Point3i",
+    "Point3f",
+    "Point3d",
+    "Range",
+    "Rect",
+    "Rect2i",
+    "Rect2f",
+    "Rect2d",
+    "Moments",
+    "RotatedRect",
+    "TermCriteria",
+    "Vec2i",
+    "Vec2f",
+    "Vec2d",
+    "Vec3i",
+    "Vec3f",
+    "Vec3d",
+    "Vec4i",
+    "Vec4f",
+    "Vec4d",
+    "Vec6f",
+    "FeatureDetector",
+    "DescriptorExtractor",
+    "FeatureExtractor",
+    "GProtoArg",
+    "GProtoInputArgs",
+    "GProtoOutputArgs",
+    "GRunArg",
+    "GOptRunArg",
+    "GMetaArg",
+    "Prim",
+    "Matx33f",
+    "Matx33d",
+    "Matx44f",
+    "Matx44d",
+    "GTypeInfo",
+    "ExtractArgsCallback",
+    "ExtractMetaCallback",
+    "LayerId",
+    "IndexParams",
+    "SearchParams",
+    "map_string_and_string",
+    "map_string_and_int",
+    "map_string_and_vector_size_t",
+    "map_string_and_vector_float",
+    "map_int_and_double",
+]
+
+import cv2.dnn
+import cv2.mat_wrapper
+import typing as _typing
+import cv2.gapi.wip.draw
+import numpy
+import cv2
+
+
+if _typing.TYPE_CHECKING:
+    NumPyArrayNumeric = numpy.ndarray[_typing.Any, numpy.dtype[numpy.integer[_typing.Any] | numpy.floating[_typing.Any]]]
+else:
+    NumPyArrayNumeric = numpy.ndarray
+
+
+if _typing.TYPE_CHECKING:
+    NumPyArrayFloat32 = numpy.ndarray[_typing.Any, numpy.dtype[numpy.float32]]
+else:
+    NumPyArrayFloat32 = numpy.ndarray
+
+
+if _typing.TYPE_CHECKING:
+    NumPyArrayFloat64 = numpy.ndarray[_typing.Any, numpy.dtype[numpy.float64]]
+else:
+    NumPyArrayFloat64 = numpy.ndarray
+
+
+if _typing.TYPE_CHECKING:
+    TermCriteria_Type = cv2.TermCriteria_Type
+else:
+    TermCriteria_Type = int
+
+
+IntPointer = int
+"""Represents an arbitrary pointer"""
+MatLike = _typing.Union[cv2.mat_wrapper.Mat, NumPyArrayNumeric]
+MatShape = _typing.Sequence[int]
+Size = _typing.Sequence[int]
+"""Required length is 2"""
+Size2f = _typing.Sequence[float]
+"""Required length is 2"""
+Scalar = _typing.Sequence[float]
+"""Required length is at most 4"""
+Point = _typing.Sequence[int]
+"""Required length is 2"""
+Point2i = Point
+Point2f = _typing.Sequence[float]
+"""Required length is 2"""
+Point2d = _typing.Sequence[float]
+"""Required length is 2"""
+Point3i = _typing.Sequence[int]
+"""Required length is 3"""
+Point3f = _typing.Sequence[float]
+"""Required length is 3"""
+Point3d = _typing.Sequence[float]
+"""Required length is 3"""
+Range = _typing.Sequence[int]
+"""Required length is 2"""
+Rect = _typing.Sequence[int]
+"""Required length is 4"""
+Rect2i = _typing.Sequence[int]
+"""Required length is 4"""
+Rect2f = _typing.Sequence[float]
+"""Required length is 4"""
+Rect2d = _typing.Sequence[float]
+"""Required length is 4"""
+Moments = _typing.Dict[str, float]
+RotatedRect = _typing.Tuple[Point2f, Size2f, float]
+"""Any type providing sequence protocol is supported"""
+TermCriteria = _typing.Tuple[TermCriteria_Type, int, float]
+"""Any type providing sequence protocol is supported"""
+Vec2i = _typing.Sequence[int]
+"""Required length is 2"""
+Vec2f = _typing.Sequence[float]
+"""Required length is 2"""
+Vec2d = _typing.Sequence[float]
+"""Required length is 2"""
+Vec3i = _typing.Sequence[int]
+"""Required length is 3"""
+Vec3f = _typing.Sequence[float]
+"""Required length is 3"""
+Vec3d = _typing.Sequence[float]
+"""Required length is 3"""
+Vec4i = _typing.Sequence[int]
+"""Required length is 4"""
+Vec4f = _typing.Sequence[float]
+"""Required length is 4"""
+Vec4d = _typing.Sequence[float]
+"""Required length is 4"""
+Vec6f = _typing.Sequence[float]
+"""Required length is 6"""
+FeatureDetector = cv2.Feature2D
+DescriptorExtractor = cv2.Feature2D
+FeatureExtractor = cv2.Feature2D
+GProtoArg = _typing.Union[Scalar, cv2.GMat, cv2.GOpaqueT, cv2.GArrayT]
+GProtoInputArgs = _typing.Sequence[GProtoArg]
+GProtoOutputArgs = _typing.Sequence[GProtoArg]
+GRunArg = _typing.Union[MatLike, Scalar, cv2.GOpaqueT, cv2.GArrayT, _typing.Sequence[_typing.Any], None]
+GOptRunArg = _typing.Optional[GRunArg]
+GMetaArg = _typing.Union[cv2.GMat, Scalar, cv2.GOpaqueT, cv2.GArrayT]
+Prim = _typing.Union[cv2.gapi.wip.draw.Text, cv2.gapi.wip.draw.Circle, cv2.gapi.wip.draw.Image, cv2.gapi.wip.draw.Line, cv2.gapi.wip.draw.Rect, cv2.gapi.wip.draw.Mosaic, cv2.gapi.wip.draw.Poly]
+Matx33f = NumPyArrayFloat32
+"""NDArray(shape=(3, 3), dtype=numpy.float32)"""
+Matx33d = NumPyArrayFloat64
+"""NDArray(shape=(3, 3), dtype=numpy.float64)"""
+Matx44f = NumPyArrayFloat32
+"""NDArray(shape=(4, 4), dtype=numpy.float32)"""
+Matx44d = NumPyArrayFloat64
+"""NDArray(shape=(4, 4), dtype=numpy.float64)"""
+GTypeInfo = _typing.Union[cv2.GMat, Scalar, cv2.GOpaqueT, cv2.GArrayT]
+ExtractArgsCallback = _typing.Callable[[_typing.Sequence[GTypeInfo]], _typing.Sequence[GRunArg]]
+ExtractMetaCallback = _typing.Callable[[_typing.Sequence[GTypeInfo]], _typing.Sequence[GMetaArg]]
+LayerId = cv2.dnn.DictValue
+IndexParams = _typing.Dict[str, _typing.Union[bool, int, float, str]]
+SearchParams = _typing.Dict[str, _typing.Union[bool, int, float, str]]
+map_string_and_string = _typing.Dict[str, str]
+map_string_and_int = _typing.Dict[str, int]
+map_string_and_vector_size_t = _typing.Dict[str, _typing.Sequence[int]]
+map_string_and_vector_float = _typing.Dict[str, _typing.Sequence[float]]
+map_int_and_double = _typing.Dict[int, float]

evalkit_tf446/lib/python3.10/site-packages/cv2/version.py

@@ -0,0 +1,5 @@
+opencv_version = "4.10.0.84"
+contrib = False
+headless = False
+rolling = False
+ci_build = True

evalkit_tf446/lib/python3.10/site-packages/cycler/__init__.py

@@ -0,0 +1,573 @@
+"""
+Cycler
+======
+
+Cycling through combinations of values, producing dictionaries.
+
+You can add cyclers::
+
+    from cycler import cycler
+    cc = (cycler(color=list('rgb')) +
+          cycler(linestyle=['-', '--', '-.']))
+    for d in cc:
+        print(d)
+
+Results in::
+
+    {'color': 'r', 'linestyle': '-'}
+    {'color': 'g', 'linestyle': '--'}
+    {'color': 'b', 'linestyle': '-.'}
+
+
+You can multiply cyclers::
+
+    from cycler import cycler
+    cc = (cycler(color=list('rgb')) *
+          cycler(linestyle=['-', '--', '-.']))
+    for d in cc:
+        print(d)
+
+Results in::
+
+    {'color': 'r', 'linestyle': '-'}
+    {'color': 'r', 'linestyle': '--'}
+    {'color': 'r', 'linestyle': '-.'}
+    {'color': 'g', 'linestyle': '-'}
+    {'color': 'g', 'linestyle': '--'}
+    {'color': 'g', 'linestyle': '-.'}
+    {'color': 'b', 'linestyle': '-'}
+    {'color': 'b', 'linestyle': '--'}
+    {'color': 'b', 'linestyle': '-.'}
+"""
+
+
+from __future__ import annotations
+
+from collections.abc import Hashable, Iterable, Generator
+import copy
+from functools import reduce
+from itertools import product, cycle
+from operator import mul, add
+# Dict, List, Union required for runtime cast calls
+from typing import TypeVar, Generic, Callable, Union, Dict, List, Any, overload, cast
+
+__version__ = "0.12.1"
+
+K = TypeVar("K", bound=Hashable)
+L = TypeVar("L", bound=Hashable)
+V = TypeVar("V")
+U = TypeVar("U")
+
+
+def _process_keys(
+    left: Cycler[K, V] | Iterable[dict[K, V]],
+    right: Cycler[K, V] | Iterable[dict[K, V]] | None,
+) -> set[K]:
+    """
+    Helper function to compose cycler keys.
+
+    Parameters
+    ----------
+    left, right : iterable of dictionaries or None
+        The cyclers to be composed.
+
+    Returns
+    -------
+    keys : set
+        The keys in the composition of the two cyclers.
+    """
+    l_peek: dict[K, V] = next(iter(left)) if left != [] else {}
+    r_peek: dict[K, V] = next(iter(right)) if right is not None else {}
+    l_key: set[K] = set(l_peek.keys())
+    r_key: set[K] = set(r_peek.keys())
+    if l_key & r_key:
+        raise ValueError("Can not compose overlapping cycles")
+    return l_key | r_key
+
+
+def concat(left: Cycler[K, V], right: Cycler[K, U]) -> Cycler[K, V | U]:
+    r"""
+    Concatenate `Cycler`\s, as if chained using `itertools.chain`.
+
+    The keys must match exactly.
+
+    Examples
+    --------
+    >>> num = cycler('a', range(3))
+    >>> let = cycler('a', 'abc')
+    >>> num.concat(let)
+    cycler('a', [0, 1, 2, 'a', 'b', 'c'])
+
+    Returns
+    -------
+    `Cycler`
+        The concatenated cycler.
+    """
+    if left.keys != right.keys:
+        raise ValueError(
+            "Keys do not match:\n"
+            "\tIntersection: {both!r}\n"
+            "\tDisjoint: {just_one!r}".format(
+                both=left.keys & right.keys, just_one=left.keys ^ right.keys
+            )
+        )
+    _l = cast(Dict[K, List[Union[V, U]]], left.by_key())
+    _r = cast(Dict[K, List[Union[V, U]]], right.by_key())
+    return reduce(add, (_cycler(k, _l[k] + _r[k]) for k in left.keys))
+
+
+class Cycler(Generic[K, V]):
+    """
+    Composable cycles.
+
+    This class has compositions methods:
+
+    ``+``
+      for 'inner' products (zip)
+
+    ``+=``
+      in-place ``+``
+
+    ``*``
+      for outer products (`itertools.product`) and integer multiplication
+
+    ``*=``
+      in-place ``*``
+
+    and supports basic slicing via ``[]``.
+
+    Parameters
+    ----------
+    left, right : Cycler or None
+        The 'left' and 'right' cyclers.
+    op : func or None
+        Function which composes the 'left' and 'right' cyclers.
+    """
+
+    def __call__(self):
+        return cycle(self)
+
+    def __init__(
+        self,
+        left: Cycler[K, V] | Iterable[dict[K, V]] | None,
+        right: Cycler[K, V] | None = None,
+        op: Any = None,
+    ):
+        """
+        Semi-private init.
+
+        Do not use this directly, use `cycler` function instead.
+        """
+        if isinstance(left, Cycler):
+            self._left: Cycler[K, V] | list[dict[K, V]] = Cycler(
+                left._left, left._right, left._op
+            )
+        elif left is not None:
+            # Need to copy the dictionary or else that will be a residual
+            # mutable that could lead to strange errors
+            self._left = [copy.copy(v) for v in left]
+        else:
+            self._left = []
+
+        if isinstance(right, Cycler):
+            self._right: Cycler[K, V] | None = Cycler(
+                right._left, right._right, right._op
+            )
+        else:
+            self._right = None
+
+        self._keys: set[K] = _process_keys(self._left, self._right)
+        self._op: Any = op
+
+    def __contains__(self, k):
+        return k in self._keys
+
+    @property
+    def keys(self) -> set[K]:
+        """The keys this Cycler knows about."""
+        return set(self._keys)
+
+    def change_key(self, old: K, new: K) -> None:
+        """
+        Change a key in this cycler to a new name.
+        Modification is performed in-place.
+
+        Does nothing if the old key is the same as the new key.
+        Raises a ValueError if the new key is already a key.
+        Raises a KeyError if the old key isn't a key.
+        """
+        if old == new:
+            return
+        if new in self._keys:
+            raise ValueError(
+                f"Can't replace {old} with {new}, {new} is already a key"
+            )
+        if old not in self._keys:
+            raise KeyError(
+                f"Can't replace {old} with {new}, {old} is not a key"
+            )
+
+        self._keys.remove(old)
+        self._keys.add(new)
+
+        if self._right is not None and old in self._right.keys:
+            self._right.change_key(old, new)
+
+        # self._left should always be non-None
+        # if self._keys is non-empty.
+        elif isinstance(self._left, Cycler):
+            self._left.change_key(old, new)
+        else:
+            # It should be completely safe at this point to
+            # assume that the old key can be found in each
+            # iteration.
+            self._left = [{new: entry[old]} for entry in self._left]
+
+    @classmethod
+    def _from_iter(cls, label: K, itr: Iterable[V]) -> Cycler[K, V]:
+        """
+        Class method to create 'base' Cycler objects
+        that do not have a 'right' or 'op' and for which
+        the 'left' object is not another Cycler.
+
+        Parameters
+        ----------
+        label : hashable
+            The property key.
+
+        itr : iterable
+            Finite length iterable of the property values.
+
+        Returns
+        -------
+        `Cycler`
+            New 'base' cycler.
+        """
+        ret: Cycler[K, V] = cls(None)
+        ret._left = list({label: v} for v in itr)
+        ret._keys = {label}
+        return ret
+
+    def __getitem__(self, key: slice) -> Cycler[K, V]:
+        # TODO : maybe add numpy style fancy slicing
+        if isinstance(key, slice):
+            trans = self.by_key()
+            return reduce(add, (_cycler(k, v[key]) for k, v in trans.items()))
+        else:
+            raise ValueError("Can only use slices with Cycler.__getitem__")
+
+    def __iter__(self) -> Generator[dict[K, V], None, None]:
+        if self._right is None:
+            for left in self._left:
+                yield dict(left)
+        else:
+            if self._op is None:
+                raise TypeError(
+                    "Operation cannot be None when both left and right are defined"
+                )
+            for a, b in self._op(self._left, self._right):
+                out = {}
+                out.update(a)
+                out.update(b)
+                yield out
+
+    def __add__(self, other: Cycler[L, U]) -> Cycler[K | L, V | U]:
+        """
+        Pair-wise combine two equal length cyclers (zip).
+
+        Parameters
+        ----------
+        other : Cycler
+        """
+        if len(self) != len(other):
+            raise ValueError(
+                f"Can only add equal length cycles, not {len(self)} and {len(other)}"
+            )
+        return Cycler(
+            cast(Cycler[Union[K, L], Union[V, U]], self),
+            cast(Cycler[Union[K, L], Union[V, U]], other),
+            zip
+        )
+
+    @overload
+    def __mul__(self, other: Cycler[L, U]) -> Cycler[K | L, V | U]:
+        ...
+
+    @overload
+    def __mul__(self, other: int) -> Cycler[K, V]:
+        ...
+
+    def __mul__(self, other):
+        """
+        Outer product of two cyclers (`itertools.product`) or integer
+        multiplication.
+
+        Parameters
+        ----------
+        other : Cycler or int
+        """
+        if isinstance(other, Cycler):
+            return Cycler(
+                cast(Cycler[Union[K, L], Union[V, U]], self),
+                cast(Cycler[Union[K, L], Union[V, U]], other),
+                product
+            )
+        elif isinstance(other, int):
+            trans = self.by_key()
+            return reduce(
+                add, (_cycler(k, v * other) for k, v in trans.items())
+            )
+        else:
+            return NotImplemented
+
+    @overload
+    def __rmul__(self, other: Cycler[L, U]) -> Cycler[K | L, V | U]:
+        ...
+
+    @overload
+    def __rmul__(self, other: int) -> Cycler[K, V]:
+        ...
+
+    def __rmul__(self, other):
+        return self * other
+
+    def __len__(self) -> int:
+        op_dict: dict[Callable, Callable[[int, int], int]] = {zip: min, product: mul}
+        if self._right is None:
+            return len(self._left)
+        l_len = len(self._left)
+        r_len = len(self._right)
+        return op_dict[self._op](l_len, r_len)
+
+    # iadd and imul do not exapand the the type as the returns must be consistent with
+    # self, thus they flag as inconsistent with add/mul
+    def __iadd__(self, other: Cycler[K, V]) -> Cycler[K, V]:  # type: ignore[misc]
+        """
+        In-place pair-wise combine two equal length cyclers (zip).
+
+        Parameters
+        ----------
+        other : Cycler
+        """
+        if not isinstance(other, Cycler):
+            raise TypeError("Cannot += with a non-Cycler object")
+        # True shallow copy of self is fine since this is in-place
+        old_self = copy.copy(self)
+        self._keys = _process_keys(old_self, other)
+        self._left = old_self
+        self._op = zip
+        self._right = Cycler(other._left, other._right, other._op)
+        return self
+
+    def __imul__(self, other: Cycler[K, V] | int) -> Cycler[K, V]:  # type: ignore[misc]
+        """
+        In-place outer product of two cyclers (`itertools.product`).
+
+        Parameters
+        ----------
+        other : Cycler
+        """
+        if not isinstance(other, Cycler):
+            raise TypeError("Cannot *= with a non-Cycler object")
+        # True shallow copy of self is fine since this is in-place
+        old_self = copy.copy(self)
+        self._keys = _process_keys(old_self, other)
+        self._left = old_self
+        self._op = product
+        self._right = Cycler(other._left, other._right, other._op)
+        return self
+
+    def __eq__(self, other: object) -> bool:
+        if not isinstance(other, Cycler):
+            return False
+        if len(self) != len(other):
+            return False
+        if self.keys ^ other.keys:
+            return False
+        return all(a == b for a, b in zip(self, other))
+
+    __hash__ = None  # type: ignore
+
+    def __repr__(self) -> str:
+        op_map = {zip: "+", product: "*"}
+        if self._right is None:
+            lab = self.keys.pop()
+            itr = list(v[lab] for v in self)
+            return f"cycler({lab!r}, {itr!r})"
+        else:
+            op = op_map.get(self._op, "?")
+            msg = "({left!r} {op} {right!r})"
+            return msg.format(left=self._left, op=op, right=self._right)
+
+    def _repr_html_(self) -> str:
+        # an table showing the value of each key through a full cycle
+        output = "<table>"
+        sorted_keys = sorted(self.keys, key=repr)
+        for key in sorted_keys:
+            output += f"<th>{key!r}</th>"
+        for d in iter(self):
+            output += "<tr>"
+            for k in sorted_keys:
+                output += f"<td>{d[k]!r}</td>"
+            output += "</tr>"
+        output += "</table>"
+        return output
+
+    def by_key(self) -> dict[K, list[V]]:
+        """
+        Values by key.
+
+        This returns the transposed values of the cycler.  Iterating
+        over a `Cycler` yields dicts with a single value for each key,
+        this method returns a `dict` of `list` which are the values
+        for the given key.
+
+        The returned value can be used to create an equivalent `Cycler`
+        using only `+`.
+
+        Returns
+        -------
+        transpose : dict
+            dict of lists of the values for each key.
+        """
+
+        # TODO : sort out if this is a bottle neck, if there is a better way
+        # and if we care.
+
+        keys = self.keys
+        out: dict[K, list[V]] = {k: list() for k in keys}
+
+        for d in self:
+            for k in keys:
+                out[k].append(d[k])
+        return out
+
+    # for back compatibility
+    _transpose = by_key
+
+    def simplify(self) -> Cycler[K, V]:
+        """
+        Simplify the cycler into a sum (but no products) of cyclers.
+
+        Returns
+        -------
+        simple : Cycler
+        """
+        # TODO: sort out if it is worth the effort to make sure this is
+        # balanced.  Currently it is is
+        # (((a + b) + c) + d) vs
+        # ((a + b) + (c + d))
+        # I would believe that there is some performance implications
+        trans = self.by_key()
+        return reduce(add, (_cycler(k, v) for k, v in trans.items()))
+
+    concat = concat
+
+
+@overload
+def cycler(arg: Cycler[K, V]) -> Cycler[K, V]:
+    ...
+
+
+@overload
+def cycler(**kwargs: Iterable[V]) -> Cycler[str, V]:
+    ...
+
+
+@overload
+def cycler(label: K, itr: Iterable[V]) -> Cycler[K, V]:
+    ...
+
+
+def cycler(*args, **kwargs):
+    """
+    Create a new `Cycler` object from a single positional argument,
+    a pair of positional arguments, or the combination of keyword arguments.
+
+    cycler(arg)
+    cycler(label1=itr1[, label2=iter2[, ...]])
+    cycler(label, itr)
+
+    Form 1 simply copies a given `Cycler` object.
+
+    Form 2 composes a `Cycler` as an inner product of the
+    pairs of keyword arguments. In other words, all of the
+    iterables are cycled simultaneously, as if through zip().
+
+    Form 3 creates a `Cycler` from a label and an iterable.
+    This is useful for when the label cannot be a keyword argument
+    (e.g., an integer or a name that has a space in it).
+
+    Parameters
+    ----------
+    arg : Cycler
+        Copy constructor for Cycler (does a shallow copy of iterables).
+    label : name
+        The property key. In the 2-arg form of the function,
+        the label can be any hashable object. In the keyword argument
+        form of the function, it must be a valid python identifier.
+    itr : iterable
+        Finite length iterable of the property values.
+        Can be a single-property `Cycler` that would
+        be like a key change, but as a shallow copy.
+
+    Returns
+    -------
+    cycler : Cycler
+        New `Cycler` for the given property
+
+    """
+    if args and kwargs:
+        raise TypeError(
+            "cycler() can only accept positional OR keyword arguments -- not both."
+        )
+
+    if len(args) == 1:
+        if not isinstance(args[0], Cycler):
+            raise TypeError(
+                "If only one positional argument given, it must "
+                "be a Cycler instance."
+            )
+        return Cycler(args[0])
+    elif len(args) == 2:
+        return _cycler(*args)
+    elif len(args) > 2:
+        raise TypeError(
+            "Only a single Cycler can be accepted as the lone "
+            "positional argument. Use keyword arguments instead."
+        )
+
+    if kwargs:
+        return reduce(add, (_cycler(k, v) for k, v in kwargs.items()))
+
+    raise TypeError("Must have at least a positional OR keyword arguments")
+
+
+def _cycler(label: K, itr: Iterable[V]) -> Cycler[K, V]:
+    """
+    Create a new `Cycler` object from a property name and iterable of values.
+
+    Parameters
+    ----------
+    label : hashable
+        The property key.
+    itr : iterable
+        Finite length iterable of the property values.
+
+    Returns
+    -------
+    cycler : Cycler
+        New `Cycler` for the given property
+    """
+    if isinstance(itr, Cycler):
+        keys = itr.keys
+        if len(keys) != 1:
+            msg = "Can not create Cycler from a multi-property Cycler"
+            raise ValueError(msg)
+
+        lab = keys.pop()
+        # Doesn't need to be a new list because
+        # _from_iter() will be creating that new list anyway.
+        itr = (v[lab] for v in itr)
+
+    return Cycler._from_iter(label, itr)