U !?h$ @sdddlZddlmZddlZddlZddlZddlm Z ddl m Z ddl m Z Gddde ZdS)N)List)Image) BaseSessioncsXeZdZdZd eejdfdd Zee edddZ e d d Z e d d Z ZS)U2netCustomSessionzBThis is a class representing a custom session for the U2net model.N) model_name sess_optscs6|d}|dkrtdtj|||f||dS)a Initialize a new U2netCustomSession object. Parameters: model_name (str): The name of the model. sess_opts (ort.SessionOptions): The session options. providers: The providers. *args: Additional positional arguments. **kwargs: Additional keyword arguments. Raises: ValueError: If model_path is None. model_pathNzmodel_path is required)get ValueErrorsuper__init__)selfrr providersargskwargsr  __class__M/var/www/html/venv/lib/python3.8/site-packages/rembg/sessions/u2net_custom.pyr s zU2netCustomSession.__init__)imgreturnc Os|jd||ddd}|ddddddddf}t|}t|}||||}t|}tj|d ddd }| |j tj j }|gS) a[ Predict the segmentation mask for the input image. Parameters: img (PILImage): The input image. *args: Additional positional arguments. **kwargs: Additional keyword arguments. Returns: List[PILImage]: A list of PILImage objects representing the segmentation mask. N)g ףp= ?gv/?gCl?)gZd;O?gy&1?g?)@rrZuint8L)mode)Z inner_sessionrun normalizenpmaxminZsqueezerZ fromarrayZastyperesizesizeZ ResamplingZLANCZOS) rrrrZort_outspredmamimaskrrrpredict+s"     zU2netCustomSession.predictcOs*|d}|dkrdStjtj|S)z Download the model files. Parameters: *args: Additional positional arguments. **kwargs: Additional keyword arguments. Returns: str: The absolute path to the model files. r N)r ospathabspath expanduser)clsrrr rrrdownload_modelsKs z"U2netCustomSession.download_modelscOsdS)z Get the name of the model. Parameters: *args: Additional positional arguments. **kwargs: Additional keyword arguments. Returns: str: The name of the model. Z u2net_customr)r,rrrrrname]s zU2netCustomSession.name)N)__name__ __module__ __qualname____doc__strortZSessionOptionsr PILImagerr' classmethodr-r. __classcell__rrrrr s  r)r(typingrnumpyrZ onnxruntimer4ZpoochZPILrZ PIL.Imager5baserrrrrrs