+ Ci8 d^RIt^RIHt^RIt^RIt^RIHt^RIHt ^RI H t !RR] 4t R#)N)List)Image) BaseSessioncVa]tRt^ toRtV3RlRlt]R4t]R4tRt Vt R#) DisSessionz7 This class represents a session for object detection. c6<V^8dQhRS[RS[S[,/#)imgreturn)PILImager)format __classdict__s"V/var/www/html/photoedit/myenv/lib/python3.14/site-packages/rembg/sessions/dis_anime.py __annotate__DisSession.__annotate__s8hc  VPPRVPVRRR44pV^,R,p\P!V4p\P !V4pWW, Wg, , p\P !V4p\P!V^,PR4RR7pVPVP\PP4pV.#) a  Use a pre-trained model to predict the object in the given image. Parameters: img (PILImage): The input image. *args: Variable length argument list. **kwargs: Arbitrary keyword arguments. Returns: List[PILImage]: A list of predicted mask images. Nuint8L)mode)g ףp= ?gv/?gCl?)?rr)r)NNNrrr) inner_sessionrun normalizenpmaxminsqueezer fromarrayastyperesizesize ResamplingLANCZOS) selfr argskwargsort_outspredmamimasks &&*, rpredictDisSession.predicts%%))  NN3 5 U  {:& VVD\ VVD\ bg&zz$s 227;#F{{388U%5%5%=%=>v rc  VP!V/VB R2p\P!RVP!V/VB'dRMRVVP!V/VBRR7\ P PVP!V/VBV4#)z Download the pre-trained models. Parameters: *args: Variable length argument list. **kwargs: Arbitrary keyword arguments. Returns: str: The path of the downloaded model file. z.onnxzNhttps://github.com/danielgatis/rembg/releases/download/v0.0.0/isnet-anime.onnxNz$md5:6f184e756bb3bd901c8849220a83e38eT)fnamepath progressbar)namepoochretrievechecksum_disabled u2net_homeosr3join)clsr(r)r2s&*, rdownload_modelsDisSession.download_models/s88T,V,-U3  \(($9&99;00 ww||CNND;F;UCCrc R#)z Get the name of the pre-trained model. Parameters: *args: Variable length argument list. **kwargs: Arbitrary keyword arguments. Returns: str: The name of the pre-trained model. z isnet-anime)r<r(r)s&*,rr5DisSession.nameJsrr@N) __name__ __module__ __qualname____firstlineno____doc__r/ classmethodr=r5__static_attributes____classdictcell__)rs@rrr s><DD4  rr) r:typingrnumpyrr6PILr PIL.Imager baserrr@rrrOs(  'JJr