Add files using upload-large-folder tool

.gitattributes

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 parrot/lib/libncursesw.so.6 filter=lfs diff=lfs merge=lfs -text
 parrot/lib/libncurses.so.6.4 filter=lfs diff=lfs merge=lfs -text
+parrot/bin/unxz filter=lfs diff=lfs merge=lfs -text
+parrot/lib/libncurses.so.6 filter=lfs diff=lfs merge=lfs -text
+parrot/bin/xzcat filter=lfs diff=lfs merge=lfs -text
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parrot/bin/unxz

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parrot/bin/xzcat

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parrot/lib/libncurses.so.6

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

@@ -0,0 +1,118 @@
+__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]"""
+
+
+

parrot/lib/python3.10/site-packages/cv2/data/__init__.py

@@ -0,0 +1,3 @@
+import os
+
+haarcascades = os.path.join(os.path.dirname(__file__), "")

parrot/lib/python3.10/site-packages/cv2/data/haarcascade_license_plate_rus_16stages.xml

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+      <stage_threshold>-7.3307347297668457e-001</stage_threshold>
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+      <stage_threshold>-1.0991690158843994e+000</stage_threshold>
+      <parent>13</parent>
+      <next>-1</next></_>
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+      <!-- stage 15 -->
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+            <right_val>-9.9264812469482422e-001</right_val></_></_>
+        <_>
+          <!-- tree 3 -->
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+            <!-- root node -->
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+              <rects>
+                <_>
+                  3 6 2 10 -1.</_>
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+                  3 11 2 5 2.</_></rects>
+              <tilted>0</tilted></feature>
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+            <left_val>8.2833290100097656e-001</left_val>
+            <right_val>-9.8444151878356934e-001</right_val></_></_>
+        <_>
+          <!-- tree 4 -->
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+            <!-- root node -->
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+              <rects>
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+            <threshold>-2.7560539820115082e-005</threshold>
+            <left_val>1.</left_val>
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+      <stage_threshold>-9.1314977407455444e-001</stage_threshold>
+      <parent>14</parent>
+      <next>-1</next></_></stages></haarcascade_pltzzz64x16_16STG>
+</opencv_storage>

parrot/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]: ...
+
+

parrot/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: ...
+
+
+

parrot/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
+
+

parrot/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: ...
+
+

parrot/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: ...
+
+

parrot/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
+
+

parrot/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: ...
+
+

parrot/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]: ...
+
+

parrot/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: ...
+
+

parrot/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
+
+

parrot/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
+
+

parrot/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: ...
+
+

parrot/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]: ...
+
+

parrot/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]"""
+
+
+

parrot/lib/python3.10/site-packages/cv2/misc/version.py

@@ -0,0 +1,5 @@
+import cv2
+
+
+def get_ocv_version():
+    return getattr(cv2, "__version__", "unavailable")

parrot/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
+

parrot/lib/python3.10/site-packages/cv2/parallel/__init__.pyi

@@ -0,0 +1,6 @@
+__all__: list[str] = []
+
+# Functions
+def setParallelForBackend(backendName: str, propagateNumThreads: bool = ...) -> bool: ...
+
+

parrot/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: ...
+
+

parrot/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: ...
+
+
+

parrot/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]

parrot/lib/python3.10/site-packages/einops/__init__.py

@@ -0,0 +1,15 @@
+__author__ = 'Alex Rogozhnikov'
+__version__ = '0.6.1'
+
+
+class EinopsError(RuntimeError):
+    """ Runtime error thrown by einops """
+    pass
+
+
+__all__ = ['rearrange', 'reduce', 'repeat', 'einsum',
+           'pack', 'unpack',
+           'parse_shape', 'asnumpy', 'EinopsError']
+
+from .einops import rearrange, reduce, repeat, einsum, parse_shape, asnumpy
+from .packing import pack, unpack