# 3j8 bSSKrSSKJr SSKrSSKrSSKJr SSKJr SSK J r "SS\ 5r g)N)List)Image) BaseSessioncP\rSrSrSrS\S\\4Sjr\S5r \S5r Sr g ) DisSession z7 This class represents a session for object detection. imgreturnc URRSURUSSS55nUSSS2SSS2SS24n[R"U5n[R "U5nXW- Xg- - n[R "U5n[R"US-RS5SS 9nURUR[RR5nU/$) a  Use a pre-trained model to predict the object in the given image. Parameters: img (PILImage): The input image. *args: Variable length argument list. **kwargs: Arbitrary keyword arguments. Returns: List[PILImage]: A list of predicted mask images. N)g ףp= ?gv/?gCl?)?r r )rruint8L)mode) inner_sessionrun normalizenpmaxminsqueezer fromarrayastyperesizesize ResamplingLANCZOS) selfr argskwargsort_outspredmamimasks R/home/wildlama/miniconda3/lib/python3.13/site-packages/rembg/sessions/dis_anime.pypredictDisSession.predicts%%))  NN3 5 U  {1aA:& VVD\ VVD\ bg&zz$s 227;#F{{388U%5%5%=%=>v c UR"U0UD6S3n[R"SUR"U0UD6(aSOSUUR"U0UD6SS9 [ R RUR"U0UD6U5$)z Download the pre-trained models. Parameters: *args: Variable length argument list. **kwargs: Arbitrary keyword arguments. Returns: str: The path of the downloaded model file. z.onnxzNhttps://github.com/danielgatis/rembg/releases/download/v0.0.0/isnet-anime.onnxNz$md5:6f184e756bb3bd901c8849220a83e38eT)fnamepath progressbar)namepoochretrievechecksum_disabled u2net_homeosr.join)clsr!r"r-s r(download_modelsDisSession.download_models/s88T,V,-U3  \(($9&9;00 ww||CNND;F;UCCr+cg)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)r7r!r"s r(r0DisSession.nameJsr+r;N) __name__ __module__ __qualname____firstlineno____doc__PILImagerr) classmethodr8r0__static_attributes__r;r+r(rr sH8h<DD4  r+r) r5typingrnumpyrr1PILr PIL.ImagerBbaserrr;r+r(rJs(  'JJr+