U !?h @s\ddlZddlmZddlZddlZddlmZddlmZ ddl m Z Gddde Z dS)N)List)Image) BaseSessionc@s8eZdZeeedddZeddZeddZdS) DisSession)imgreturnc Os|jd||ddd}|ddddddddf}t|}t|}||||}t|}tj|d ddd }| |j tj j }|gS) a Predicts the mask image for the input image. This method takes a PILImage object as input and returns a list of PILImage objects as output. It performs several image processing operations to generate the mask image. Parameters: img (PILImage): The input image. Returns: List[PILImage]: A list of PILImage objects representing the generated mask image. N)g ףp= ?gv/?gCl?)?r r )r rZuint8L)mode)Z inner_sessionrun normalizenpmaxminZsqueezerZ fromarrayZastyperesizesizeZ ResamplingZLANCZOS) selfrargskwargsZort_outspredmamimaskrP/var/www/html/venv/lib/python3.8/site-packages/rembg/sessions/dis_general_use.pypredict s     zDisSession.predictcOsT|j||d}tjd|j||r(dnd||j||ddtj|j|||S)ai Downloads the pre-trained model file. This class method downloads the pre-trained model file from a specified URL using the pooch library. Parameters: args: Additional positional arguments. kwargs: Additional keyword arguments. Returns: str: The path to the downloaded model file. z.onnxzThttps://github.com/danielgatis/rembg/releases/download/v0.0.0/isnet-general-use.onnxNz$md5:fc16ebd8b0c10d971d3513d564d01e29T)fnamepathZ progressbar)namepoochretrieveZchecksum_disabledZ u2net_homeosr join)clsrrrrrrdownload_models+s   zDisSession.download_modelscOsdS)a Returns the name of the model. This class method returns the name of the model. Parameters: args: Additional positional arguments. kwargs: Additional keyword arguments. Returns: str: The name of the model. zisnet-general-user)r&rrrrrr!HszDisSession.nameN) __name__ __module__ __qualname__PILImagerr classmethodr'r!rrrrr s  r) r$typingrnumpyrr"ZPILrZ PIL.Imager+baserrrrrrs