+ Ci d^RIt^RIHt^RIt^RIt^RIHt^RIHt ^RI H t !RR] 4t R#)N)List)Image) BaseSessioncVa]tRt^ toRtV3RlRlt]R4t]R4tRt Vt R#)SiluetaSessionz5This is a class representing a SiluetaSession object.c6<V^8dQhRS[RS[S[,/#)imgreturn)PILImager)format __classdict__s"T/var/www/html/photoedit/myenv/lib/python3.14/site-packages/rembg/sessions/silueta.py __annotate__SiluetaSession.__annotate__s  8 h c  VPPRVPVRRR44pV^,R,p\P!V4p\P !V4pWW, Wg, , p\P !V4p\P!V^,PR4RR7pVPVP\PP4pV.#) a Predict the mask of the input image. This method takes an image as input, preprocesses it, and performs a prediction to generate a mask. The generated mask is then post-processed and returned as a list of PILImage objects. Parameters: img (PILImage): The input image to be processed. *args: Variable length argument list. **kwargs: Arbitrary keyword arguments. Returns: List[PILImage]: A list of post-processed masks. Nuint8L)mode)g ףp= ?gv/?gCl?)gZd;O?gy&1?g?)@r)NNNrrr) inner_sessionrun normalizenpmaxminsqueezer fromarrayastyperesizesize ResamplingLANCZOS) selfr argskwargsort_outspredmamimasks &&*, rpredictSiluetaSession.predicts%%))  NN*,A:  {:& VVD\ VVD\ bg&zz$s 227;#F{{388U%5%5%=%=>v rc  VP4 R2p\P!RVP!V/VB'dRMRVVP!V/VBRR7\ P PVP!V/VBV4#)a9 Download the pre-trained model file. This method downloads the pre-trained model file from a specified URL. The file is saved to the U2NET home directory. Parameters: *args: Variable length argument list. **kwargs: Arbitrary keyword arguments. Returns: str: The path to the downloaded model file. z.onnxzJhttps://github.com/danielgatis/rembg/releases/download/v0.0.0/silueta.onnxNz$md5:55e59e0d8062d2f5d013f4725ee84782T)fnamepath progressbar)namepoochretrievechecksum_disabled u2net_homeosr2join)clsr'r(r1s&*, rdownload_modelsSiluetaSession.download_models1s88:,e$  X(($9&99;00 ww||CNND;F;UCCrc R#)z Return the name of the model. This method returns the name of the Silueta model. Parameters: *args: Variable length argument list. **kwargs: Arbitrary keyword arguments. Returns: str: The name of the model. silueta)r;r'r(s&*,rr4SiluetaSession.nameNsrr@N) __name__ __module__ __qualname____firstlineno____doc__r. classmethodr<r4__static_attributes____classdictcell__)rs@rrr s=?  DDD8  rr) r9typingrnumpyrr5PILr PIL.Imager baserrr@rrrOs(  'P[Pr