@Ki, %SSKJr SSKJrJrJr SSKJrJr SSK J r SSK J r J r SSKJr \ "5(a SS KJr SS K Jr \\S \4r\\S '"S S\5r"SS\5rS\S\\\4Sjr"SS\5rg))Sequence)Any TypedDictUnion) TypeAliasoverload) is_pil_image)is_vision_availablerequires_backends)Pipeline)Image) load_imagez Image.Image ImagePairc*\rSrSr%\\S'\\S'Srg)Keypoint"xyN)__name__ __module__ __qualname____firstlineno__float__annotations____static_attributes__rj/var/www/html/dynamic-report/venv/lib/python3.13/site-packages/transformers/pipelines/keypoint_matching.pyrr"s  H Hrrc4\rSrSr%\\S'\\S'\\S'Srg)Match'keypoint_image_0keypoint_image_1scorerN)rrrrrrrrrrr r"r"'s Lrr"imagesreturnc^SnSm[U[5(aH[U5S:Xa[U4SjU55(aU/$[U4SjU55(aU$[ U5e)N)z-Input images must be a one of the following :z - A pair of images.z - A list of pairs of images.cF[U5=(d [U[5$)z"images is a PIL Image or a string.)r isinstancestr)images r _is_valid_image-validate_image_pairs.._is_valid_image4sE"# UH nT"U5v M g7fNr.0r-r.s r 'validate_image_pairs..9s#Q&_U%;%;&c3># UHFn[U[5=(a* [U5S:H=(a [U4SjU55v MH g7f)r c34># UH nT"U5v M g7fr1rr2s r r41validate_image_pairs...>sC uOE** r6N)r+rlenall)r3 image_pairr.s r r4r5;sO %  z8 , DJ1$ DC CC D%sAA)r+rr:r; ValueError)r' error_messager.s @r validate_image_pairsr?-soM =&(## v;! #Q&#Q Q Q8O  %    M ] ##rc (^\rSrSrSrSrSrSrSrU4Sjr SSjr \ SS\ S\ S \S \\4S jj5r\ SS\\ S\ S \S \\\4S jj5rSS\\\ \ 4S\ S \S \\\\\\44U4S jjjrSSjrSrSS \\4SjjrSrU=r$)KeypointMatchingPipelineEzz Keypoint matching pipeline using any `AutoModelForKeypointMatching`. This pipeline matches keypoints between two images. FTct>[TU]"U0UD6 [US5 URS:wa [ S5eg)NvisionptzBKeypoint matching pipeline only supports PyTorch (framework='pt').)super__init__r frameworkr=)selfargskwargs __class__s r rG!KeypointMatchingPipeline.__init__Os< $)&)$) >>T !ab b "rc00nUbX#S'0nUbXS'U0U4$)Ntimeout thresholdr)rIrPrOpreprocess_paramspostprocess_paramss r _sanitize_parameters-KeypointMatchingPipeline._sanitize_parametersUs8  +2i (  .7{ + "&888rinputsrPrKr(c gr1rrIrUrPrKs r __call__!KeypointMatchingPipeline.__call__^sadrc gr1rrWs r rXrYasmprc >Uc [S5e[U5n[TU] "U4SU0UD6n[ U5S:XaUS$U$)a0 Find matches between keypoints in two images. Args: inputs (`str`, `list[str]`, `PIL.Image` or `list[PIL.Image]`): The pipeline handles three types of images: - A string containing a http link pointing to an image - A string containing a local path to an image - An image loaded in PIL directly The pipeline accepts either a single pair of images or a batch of image pairs, which must then be passed as a string. Images in a batch must all be in the same format: all as http links, all as local paths, or all as PIL images. threshold (`float`, *optional*, defaults to 0.0): The threshold to use for keypoint matching. Keypoints matched with a lower matching score will be filtered out. A value of 0 means that all matched keypoints will be returned. kwargs: `timeout (`float`, *optional*, defaults to None)` The maximum time in seconds to wait for fetching images from the web. If None, no timeout is set and the call may block forever. Return: Union[list[Match], list[list[Match]]]: A list of matches or a list if a single image pair is provided, or of lists of matches if a batch of image pairs is provided. Each match is a dictionary containing the following keys: - **keypoint_image_0** (`Keypoint`): The keypoint in the first image (x, y coordinates). - **keypoint_image_1** (`Keypoint`): The keypoint in the second image (x, y coordinates). - **score** (`float`): The matching score between the two keypoints. zFCannot call the keypoint-matching pipeline without an inputs argument!rPr r)r=r?rFrXr:)rIrUrPrKformatted_inputsoutputsrLs r rXrYdsYN >ef f/7'"#3SySFS  A %1: rcUVs/sH n[X2S9PM nnURXRS9nURUR5nUVs/sHo3R PM nnXES.nU$s snfs snf)N)rO)r'return_tensors) model_inputs target_sizes)rimage_processorrHtodtypesize)rIr'rOr-r`rapreprocess_outputss r preprocess#KeypointMatchingPipeline.preprocessstBHI&*U4&I++6..+Y #tzz2 067u  7.:Y!! J8s A/A4cDUSnUR"S0UD6nX1S/S.nU$)Nr`ra) model_outputsrar)model)rIrfr`rjforward_outputss r _forward!KeypointMatchingPipeline._forwards4).9  2\2 ,9_mLnKoprc USnUSnURRX4US9nUSn/n[USUSUS5Hupxn [USR 5USR 5S 9n[USR 5USR 5S 9nUR [ XxU R 5S 95 M [US S S 9nU$)Nrjra)rarPr keypoints0 keypoints1matching_scoresr )rr)r$r%r&c US$)Nr&r)rs r 6KeypointMatchingPipeline.postprocess..s' rT)keyreverse)rbpost_process_keypoint_matchingzipritemappendr"sorted) rIrlrPrjrapostprocess_outputs pair_resultkp_0kp_1r&s r postprocess$KeypointMatchingPipeline.postprocesss'8 &~6 "22QQ  R 2!4 !$  -  -  1 2" D d1gllnQ ?Dd1gllnQ ?D   udY^YcYcYef g" [.BDQ rr)NN)gr1)rrrr__doc___load_processor_load_image_processor_load_feature_extractor_load_tokenizerrGrSrrrrlistr"rXrrgrmrr __classcell__)rLs@r rArAEsO #Oc 9dydUdCdTXY^T_dd ptIp5pRUpZ^_cdi_jZkpp -d9oy01-- - tE{De-- . --^" T%[rrAN)collections.abcrtypingrrrtyping_extensionsrr image_utilsr utilsr r baserPILrrr,rrrr"r?rArrr rs%((1&:( mS&8 9: 9: y I $$(92E)F$0mxmr