+ QV-jaRt0t^RIHt^RIHtHtHtHt^RIH t ^RI H t ^RI H t Ht^RIHt] !4'd ^RIHt^RI Ht]]R ]3,,t]^k!R R ]4t!R R ]4tRRlt!RR]4tR#))Sequence)Any TypeAlias TypedDictUnion)overload) is_pil_image)is_vision_availablerequires_backends)Pipeline)Image) load_imagez Image.Imagec,a]tRt^"toV3RltRtVtR#)Keypointc2<V^8dQh/S[;R&S[;R&#)xy)float)format __classdict__s"y/Volumes/fast/ai/experiments/ui-tars-smoke/.venv/lib/python3.14/site-packages/transformers/pipelines/keypoint_matching.py __annotate__Keypoint.__annotate__"s H HN__name__ __module__ __qualname____firstlineno____annotate_func____static_attributes____classdictcell__rs@rrr"rrc,a]tRt^'toV3RltRtVtR#)Matchc><V^8dQh/S[;R&S[;R&S[;R&#)rkeypoint_image_0keypoint_image_1score)rr)rrs"rrMatch.__annotate__'s' LrrNrr%s@rr(r('r&rr(c\V^8dQhR\R\\\,,/#)rimagesreturn)rr ImagePair)rs"rrr-s$$$$(92E)F$rczaRpRo\V\4'd\V4^8XdD\;QJdV3RlV4F 'dK RM RM!V3RlV44'dV.#\;QJdV3RlV4F 'dK RM RM!V3RlV44'dV#\ V4h)-Input images must be a one of the following :cH\V4;'g\V\4#)z"images is a PIL Image or a string.)r isinstancestr)images&r_is_valid_image-validate_image_pairs.._is_valid_image4sE"<'validate_image_pairs..9s#Q&_U%;%;&FTc3<"TFmp\V\4;'dQ\V4^8H;'d;\;QJdV3RlV4F 'dK RM RM!V3RlV44xKo R#5i)rc34<"TF pS!V4xK R#5ir;rr<s& rr>1validate_image_pairs...>sC uOE** r@FTN)r5rlenall)r= image_pairr8s& rr>r?;sk %  z8 , D DJ1$ D DC CC CC D%sA8A8 A8A8 A8)r3z - A pair of images.z - A list of pairs of images.)r5rrDrE ValueError)r/ error_messager8s& @rvalidate_image_pairsrI-sM =&(## v;! #Q&#Q#Q&#Q Q Q8O 3 %  333 %    M ] ##rcaa]tRt^EtoRtRtRtRtRtV3Rlt RRlt ] RV3RlRll4t ] RV3RlR ll4t RV3R lV3R lllt RR lt R tRV3RlRlltRtVtV;t#)KeypointMatchingPipelinezz Keypoint matching pipeline using any `AutoModelForKeypointMatching`. This pipeline matches keypoints between two images. FTc@<\SV`!V/VB\VR4R#)visionN)super__init__r )selfargskwargs __class__s&*,rrO!KeypointMatchingPipeline.__init__Os $)&)$)rc4/pVeW#R&/pVeWR&V/V3#)Ntimeout thresholdr)rPrWrVpreprocess_paramspostprocess_paramss&&& r_sanitize_parameters-KeypointMatchingPipeline._sanitize_parametersSs8  +2i (  .7{ + "&888rc B<V^8dQhRS[RS[RS[RS[S[,/#rinputsrWrRr0)r1rrlistr()rrs"rr%KeypointMatchingPipeline.__annotate__]s$ddydUdCdTXY^T_drc R#r;rrPr^rWrRs&&&,r__call__!KeypointMatchingPipeline.__call__\sadrc b<V^8dQhRS[S[,RS[RS[RS[S[S[,,/#r]r_r1rrr()rrs"rrr``s/pptIp5pRUpZ^_cdi_jZkprc R#r;rrbs&&&,rrcrd_smprc <V^8dQhRS[S[,S[,RS[RS[RS[S[,S[S[S[,,,/#r]rf)rrs"rrr`bsN--Y)+-- - etDK( ( -rc <Vf \R4h\V4p\SV` !V3RV/VBp\ V4^8Xd V^,#V#)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!rW)rGrIrNrcrD)rPr^rWrRformatted_inputsoutputsrSs&&&, rrcrdbsYN >ef f/7'"#3SySFS  A %1: rcVUu.uFp\W2R7NK ppVPVRR7pVPVP4pVUu.uFq3PNK ppRVRV/pV#uupiuupi))rVpt)r/return_tensors model_inputs target_sizes)rimage_processortodtypesize)rPr/rVr7rorppreprocess_outputss&&& r preprocess#KeypointMatchingPipeline.preprocesssxBHI&*U4&I++6$+O #tzz2 067u  7,lNLY!! J8s A,A1cXVR,pVP!R/VBpRVRVR,./pV#)ro model_outputsrpr)model)rPruroryforward_outputss&& r_forward!KeypointMatchingPipeline._forwards;).9  2\2 *M>L^_mLnKoprc0<V^8dQhRS[S[,/#)rr0)r_r()rrs"rrr`sT%[rc  VR,pVR,pVPPW4VR7pV^,p.p\VR,VR,VR,4Fwrxp \V^,P 4V^,P 4R7p\V^,P 4V^,P 4R7pVP \ WxV P 4R74K \VRR R 7pV#) ryrp)rprW keypoints0 keypoints1matching_scores)rr)r*r+r,cVR,#)r,r)rs&r6KeypointMatchingPipeline.postprocess..s' rT)keyreverse)rqpost_process_keypoint_matchingzipritemappendr(sorted) rPr{rWryrppostprocess_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)gr;)rrr r!__doc___load_processor_load_image_processor_load_feature_extractor_load_tokenizerrOrZrrcrvr|rr#r$ __classcell__)rSrs@@rrKrKEstO #O*9ddd ppp--^" rrKc@V^8dQh/^\9d \;R&#)rr1)__conditional_annotations__r)rs"rrrs$$ ;:9:!%rN)rcollections.abcrtypingrrrrtyping_extensionsr image_utilsr utilsr r baser PILr rr6r1rr(rIrKr)rs@rrsu%$33&&:( mS&8 9: : y I $0kxkr