+ Ci-L^RIt^RIt^RIHt^RIHtHtHtHtH t H t ^RI t ^RI t^R IHtHt^R IHt^R IHt^R IHt^R IHt^RIHtHt^RI H!t!H"t"^RI#H$t$^RI%H%t%H&t&^RI'H(t(]PR!^4]!!^4t*!RR]4t+RRlt,RRlt-RRlt.RRlt/RRlt0RR lt1R!R"lt2R#R$lt3R%R&lt4R)R'R(llt5R# ]dL]!R4]!R4]!4]!R4]!R4]!4]!R4]P"!^4Li;i)*N)Enum)AnyListOptionalTupleUnioncastzNo onnxruntime backend found.z-Please install rembg with CPU or GPU support:z' pip install "rembg[cpu]" # for CPUz3 pip install "rembg[gpu]" # for NVIDIA/CUDA GPUzLFor more information, see: https://github.com/danielgatis/rembg#installation)ImageImageOps)r )estimate_alpha_cf)estimate_foreground_ml) stack_images)binary_erosiongaussian_filter)diskopening) new_session)sessionssessions_names) BaseSessionc"]tRt^'t^t^t^tRtR#) ReturnTypeN)__name__ __module__ __qualname____firstlineno__BYTESPILLOWNDARRAY__static_attributes__rF/var/www/html/photoedit/myenv/lib/python3.14/site-packages/rembg/bg.pyrr's E FGr"rc `V^8dQhR\R\R\R\R\R\/#)imgmaskforeground_thresholdbackground_thresholderode_structure_sizereturn)PILImageint)formats"r# __annotate__r/-sD22 2 22 2  2  2r"cVPR8XgVPR8XdVPR4p\P!V4p\P!V4pWb8pWc8pRp V^8d(\P!WD3\P R7p \ WyR7p\ W^R7p\P!VP\P ^R7p ^W&^W&VR , p V R , p \W4p \W4p\W4p\P!V^,^^4P\P 4p\P!V4pV#) a Perform alpha matting on an image using a given mask and threshold values. This function takes a PIL image `img` and a PIL image `mask` as input, along with the `foreground_threshold` and `background_threshold` values used to determine foreground and background pixels. The `erode_structure_size` parameter specifies the size of the erosion structure to be applied to the mask. The function returns a PIL image representing the cutout of the foreground object from the original image. RGBACMYKRGBN)dtype) structure)r5 border_value)r4 fill_valuego@)modeconvertnpasarrayonesuint8rfullshaper r rclipastyper fromarray)r&r'r(r)r* img_array mask_array is_foreground is_backgroundr5trimapimg_normalizedtrimap_normalizedalpha foregroundcutouts&&&&& r#alpha_matting_cutoutrM-s*$ xx6SXX/kk%  3ID!J5M5MIaGG ! 8 #=FM"=TUVM WWZ%%RXX# FFFF&N n @E'>J * ,F WWVc\1c * 1 1"(( ;F __V $F Mr"c<V^8dQhR\R\R\/#r%r&r'r+r,)r.s"r#r/r/bs!  h h 8 r"cx\P!RVP^4p\P!WV4pV#)aG Perform a simple cutout operation on an image using a mask. This function takes a PIL image `img` and a PIL image `mask` as input. It uses the mask to create a new image where the pixels from `img` are cut out based on the mask. The function returns a PIL image representing the cutout of the original image using the mask. r1)r newsize composite)r&r'emptyrLs&& r# naive_cutoutrVbs/ IIfsxx! ,E __S .F Mr"c<V^8dQhR\R\R\/#rOrP)r.s"r#r/r/rs!    h r"c(VPV4V#)z Apply the specified mask to the image as an alpha cutout. Args: img (PILImage): The image to be modified. mask (PILImage): The mask to be applied. Returns: PILImage: The modified image with the alpha cutout applied. )putalpha)r&r's&&r#putalpha_cutoutrZrsLL Jr"cFV^8dQhR\\,R\/#)r%imgsr+)rr,)r.s"r#r/r/s  T(^  r"cPVP^4pVFp\W4pK V#)z Concatenate multiple images vertically. Args: imgs (List[PILImage]): The list of images to be concatenated. Returns: PILImage: The concatenated image. )pop get_concat_v)r\pivotims& r#get_concat_v_multirbs* HHQKEU' Lr"c<V^8dQhR\R\R\/#)r%img1img2r+rP)r.s"r#r/r/s!xxHr"c\P!RVPVPVP,34pVP VR4VP V^VP34V#)z Concatenate two images vertically. Args: img1 (PILImage): The first image. img2 (PILImage): The second image to be concatenated below the first image. Returns: PILImage: The concatenated image. r1)rr)r rRwidthheightpaste)rdredsts&& r#r_r_sT ))FTZZt{{)BC DCIIdFIIdQ $% Jr"cXV^8dQhR\PR\P/#)r%r'r+)r:ndarray)r.s"r#r/r/s"  rzz bjj r"c\V\4p\VP\P 4^R7p\P !V^8^^4P\P4pV#)z Post Process the mask for a smooth boundary by applying Morphological Operations Research based on paper: https://www.sciencedirect.com/science/article/pii/S2352914821000757 args: mask: Binary Numpy Mask )sigma)rkernelrrAr:float64wherer=)r's&r# post_processrrsS 4 D 4;;rzz2! !V4#\P!4pVPAVR4VPC^4VPE4# \d'T'd\3T T4pL\5T T4pELi;i)aW Remove the background from an input image. This function takes in various parameters and returns a modified version of the input image with the background removed. The function can handle input data in the form of bytes, a PIL image, or a numpy array. The function first checks the type of the input data and converts it to a PIL image if necessary. It then fixes the orientation of the image and proceeds to perform background removal using the 'u2net' model. The result is a list of binary masks representing the foreground objects in the image. These masks are post-processed and combined to create a final cutout image. If a background color is provided, it is applied to the cutout image. The function returns the resulting cutout image in the format specified by the input 'return_type' parameter or as python bytes if force_return_bytes is true. Parameters: data (Union[bytes, PILImage, np.ndarray]): The input image data. alpha_matting (bool, optional): Flag indicating whether to use alpha matting. Defaults to False. alpha_matting_foreground_threshold (int, optional): Foreground threshold for alpha matting. Defaults to 240. alpha_matting_background_threshold (int, optional): Background threshold for alpha matting. Defaults to 10. alpha_matting_erode_size (int, optional): Erosion size for alpha matting. Defaults to 10. session (Optional[BaseSession], optional): A session object for the 'u2net' model. Defaults to None. only_mask (bool, optional): Flag indicating whether to return only the binary masks. Defaults to False. post_process_mask (bool, optional): Flag indicating whether to post-process the masks. Defaults to False. bgcolor (Optional[Tuple[int, int, int, int]], optional): Background color for the cutout image. Defaults to None. force_return_bytes (bool, optional): Flag indicating whether to return the cutout image as bytes. Defaults to False. *args (Optional[Any]): Additional positional arguments. **kwargs (Optional[Any]): Additional keyword arguments. Returns: Union[bytes, PILImage, np.ndarray]: The cutout image with the background removed. z^Input type {} is not supported. Try using force_return_bytes=True to force python bytes outputrYFu2netPNG)# isinstancerrrr r,r openioBytesIOrr:rlr rB ValueErrorr.typer^r~rpredictrrarrayrMrZrVappendrrbrzr;saveseekread)rrrrrrrrrrrr return_typer&rYmaskscutoutsr'rLbios&&&&&&&&&&*, r#removersGH$"4 && 8UZZ 4t3D(EFG D( # # '' 8T" D"** % % (( 8U__T23 l s sT    zz*e,H  $Cg777 OOC 1$ 1& 1EG ??<#?@D F  5-66, (d3%c40v7:F 7|a#G,9'8K' [(zz&!! **,C KKUHHQK 88:= 5,S$7F)#t4F  5sKK7 K7' K76K7) F rNFFNF)6rrenumrtypingrrrrrr numpyr: onnxruntimeort ImportErrorrrPILr r PIL.Imager,!pymatting.alpha.estimate_alpha_cfr +pymatting.foreground.estimate_foreground_mlr pymatting.util.utilr scipy.ndimagerrskimage.morphologyrrsession_factoryrrr sessions.baserset_default_logger_severityrorrMrVrZrbr_rrrzr~rrrr"r#rs ::  '?N,9,(.&" a 2j    " " 87*mmq  )* 9: G 34 ?@ G VHHQK sCAD#"D#