+ Ciu d^RIt^RIHt^RIt^RIt^RIHt^RIHt ^RI H t !RR] 4t R#)N)List)Image) BaseSessioncVa]tRt^ toRtV3RlRlt]R4t]R4tRt Vt R#)U2netHumanSegSessionzZ This class represents a session for performing human segmentation using the U2Net model. c6<V^8dQhRS[RS[S[,/#)imgreturn)PILImager)format __classdict__s"\/var/www/html/photoedit/myenv/lib/python3.14/site-packages/rembg/sessions/u2net_human_seg.py __annotate__!U2netHumanSegSession.__annotate__s8hc  VPPRVPVRRR44pV^,R,p\P!V4p\P !V4pWW, Wg, , p\P !V4p\P!V^,PR4RR7pVPVP\PP4pV.#) z Predicts human segmentation masks for the input image. Parameters: img (PILImage): The input image. *args: Variable length argument list. **kwargs: Arbitrary keyword arguments. Returns: List[PILImage]: A list of predicted masks. Nuint8L)mode)g ףp= ?gv/?gCl?)gZd;O?gy&1?g?)@r)NNNrrr) inner_sessionrun normalizenpmaxminsqueezer fromarrayastyperesizesize ResamplingLANCZOS) selfr argskwargsort_outspredmamimasks &&*, rpredictU2netHumanSegSession.predicts%%))  NN*,A:  {:& VVD\ VVD\ bg&zz$s 227;#F{{388U%5%5%=%=>v rc  VP!V/VB R2p\P!RVP!V/VB'dRMRVVP!V/VBRR7\ P PVP!V/VBV4#)z Downloads the U2Net model weights. Parameters: *args: Variable length argument list. **kwargs: Arbitrary keyword arguments. Returns: str: The path to the downloaded model weights. z.onnxzRhttps://github.com/danielgatis/rembg/releases/download/v0.0.0/u2net_human_seg.onnxNz$md5:c09ddc2e0104f800e3e1bb4652583d1fT)fnamepath progressbar)namepoochretrievechecksum_disabled u2net_homeosr2join)clsr'r(r1s&*, rdownload_models$U2netHumanSegSession.download_models1s88T,V,-U3  `(($9&99;00 ww||CNND;F;UCCrc R#)z Returns the name of the U2Net model. Parameters: *args: Variable length argument list. **kwargs: Arbitrary keyword arguments. Returns: str: The name of the model. u2net_human_seg)r;r'r(s&*,rr4U2netHumanSegSession.nameLs!rr@N) __name__ __module__ __qualname____firstlineno____doc__r. classmethodr<r4__static_attributes____classdictcell__)rs@rrr s?@DD4 ! !rr) r9typingrnumpyrr5PILr PIL.Imager baserrr@rrrOs(  'L!;L!r