+ j] ^RIHtHt^RIHt^RIHtHt^RI H t !RR]4t !RR]4t !R R ]4t !R R ]4tR #))AnyUnion) tv_tensors) functional TransformCLAMPING_MODE_TYPEcnaa]tRt^toRt]P 3tV3RlV3RlltV3RlRlt Rt Vt V;t #)ConvertBoundingBoxFormataKConvert bounding box coordinates to the given ``format``, eg from "CXCYWH" to "XYXY". Args: format (str or tv_tensors.BoundingBoxFormat): output bounding box format. Possible values are defined by :class:`~torchvision.tv_tensors.BoundingBoxFormat` and string values match the enums, e.g. "XYXY" or "XYWH" etc. cN<V^8dQhRS[S[S[P3,RR/#)formatreturnN)rstrrBoundingBoxFormat)r __classdict__s"`/home/luca/screen-checking/.venv/lib/python3.14/site-packages/torchvision/transforms/v2/_meta.py __annotate__%ConvertBoundingBoxFormat.__annotate__s+uS**F*F%FGDc0<\SV`4WnR#N)super__init__r)selfr __class__s&&rr!ConvertBoundingBoxFormat.__init__s  rcj<V^8dQhRS[PRS[S[S[3,RS[P/#r inptparamsrr BoundingBoxesdictrr)rrs"rrrs<KKj66KS#XKS]SkSkKrcD\P!WPR7#)) new_format)Fconvert_bounding_box_formatrrr r!s&&&r transform"ConvertBoundingBoxFormat.transforms,,TkkJJr)r) __name__ __module__ __qualname____firstlineno____doc__rr#_transformed_typesrr*__static_attributes____classdictcell__ __classcell__rrs@@rr r s7%224KKKrr craa]tRt^toRtRV3RlV3Rlllt]P3tV3RlRlt Rt Vt V;t #)ClampBoundingBoxesa Clamp bounding boxes to their corresponding image dimensions. Args: clamping_mode: Default is "auto" which relies on the input box' ``clamping_mode`` attribute. Read more in :ref:`clamping_mode_tuto` for more details on how to use this transform. c:<V^8dQhRS[S[S[3,RR/#r clamping_moderN)rr r)rrs"rrClampBoundingBoxes.__annotate__$s'++e,>,C&D+RV+rc0<\SV`4WnR#r)rrr:rr:rs&&rrClampBoundingBoxes.__init__$s *rcj<V^8dQhRS[PRS[S[S[3,RS[P/#rr")rrs"rrr;*s<NNj66NS#XNS]SkSkNrcD\P!WPR7#)r:)r'clamp_bounding_boxesr:r)s&&&rr*ClampBoundingBoxes.transform*s%%d:L:LMMrrA)auto r,r-r.r/r0rrr#r1r*r2r3r4r5s@@rr7r7s7++%224NNNrr7cPa]tRt^.toRt]P 3tV3RlRltRt Vt R#)ClampKeyPointszClamp keypoints to their corresponding image dimensions. The clamping is done according to the keypoints' ``canvas_size`` meta-data. cj<V^8dQhRS[PRS[S[S[3,RS[P/#r)r KeyPointsr$rr)rrs"rrClampKeyPoints.__annotate__6s6''j22'DcN'zOcOc'rc.\P!V4#r)r'clamp_keypointsr)s&&&rr*ClampKeyPoints.transform6s  &&rN) r,r-r.r/r0rrIr1r*r2r3)rs@rrGrG.s% %..0''rrGcnaa]tRt^:toRtV3RlV3Rllt]P3tV3RlRlt Rt Vt V;t #)SetClampingModea Sets the ``clamping_mode`` attribute of the bounding boxes for future transforms. Args: clamping_mode: The clamping mode to set. Possible values are: "soft", "hard", or ``None``. Read more in :ref:`clamping_mode_tuto` for more details on how to use this transform. c$<V^8dQhRS[RR/#r9r)rrs"rrSetClampingMode.__annotate__Es __&8_T_rcn<\SV`4WnVPR9d\RV 24hR#)Nz.clamping_mode must be soft, hard or None, got )Nsofthard)rrr: ValueErrorr=s&&rrSetClampingMode.__init__Es; *   %; ;Mm_]^ ^ rasE"@EKyK&NN& 'Y 'ir