U !?hu @s\ddlZddlmZddlZddlZddlmZddlmZ ddl m Z Gddde Z dS)N)List)Image) BaseSessionc@s<eZdZdZeeedddZeddZeddZ d S) U2netHumanSegSessionzb This class represents a session for performing human segmentation using the U2Net model. )imgreturnc Os|jd||ddd}|ddddddddf}t|}t|}||||}t|}tj|d ddd }| |j tj j }|gS) a8 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. N)g ףp= ?gv/?gCl?)gZd;O?gy&1?g?)@r rZuint8L)mode)Z inner_sessionrun normalizenpmaxminZsqueezerZ fromarrayZastyperesizesizeZ ResamplingZLANCZOS) selfrargskwargsZort_outspredmamimaskrP/var/www/html/venv/lib/python3.8/site-packages/rembg/sessions/u2net_human_seg.pypredicts"     zU2netHumanSegSession.predictcOsT|j||d}tjd|j||r(dnd||j||ddtj|j|||S)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$md5:c09ddc2e0104f800e3e1bb4652583d1fT)fnamepathZ progressbar)namepoochretrieveZchecksum_disabledZ u2net_homeosrjoin)clsrrrrrrdownload_models1s    z$U2netHumanSegSession.download_modelscOsdS)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. Zu2net_human_segr)r%rrrrrr Ls zU2netHumanSegSession.nameN) __name__ __module__ __qualname____doc__PILImagerr classmethodr&r rrrrr s   r) r#typingrnumpyrr!ZPILrZ PIL.Imager+baserrrrrrs