dh SSKJr SSKrSSKJrJr SSKJr SSKJ r J r J r SSK J r \R"\5r"SS\ 5r"S S \ 5rg) ) annotationsN)OptionalType)CallbackManagerForToolRun) BaseModelFieldHttpUrl) EdenaiToolc,\rSrSr%\"SS9rS\S'Srg)ObjectDetectionInputzurl of the image to analyze) descriptionr queryN)__name__ __module__ __qualname____firstlineno__rr__annotations____static_attributes__rn/var/www/html/shao/venv/lib/python3.13/site-packages/langchain_community/tools/edenai/image_objectdetection.pyr r s'DEE7Err c\rSrSr%SrSrS\S'SrS\S'\r S\S 'S r S \S 'S r S\S'Sr S\S'SSjr SSjrSSSjjrSrg)EdenAiObjectDetectionToolaNTool that queries the Eden AI Object detection API. for api reference check edenai documentation: https://docs.edenai.co/reference/image_object_detection_create. To use, you should have the environment variable ``EDENAI_API_KEY`` set with your API token. You can find your token here: https://app.edenai.run/admin/account/settings edenai_object_detectionstrnamezA wrapper around edenai Services Object Detection . Useful for when you have to do an to identify and locate (with bounding boxes) objects in an image Input should be the string url of the image to identify.rzType[BaseModel] args_schemaFboolshow_positionsimagefeatureobject_detection subfeaturec /n/nUSHnUSSUS3nURS5nURS5nURS5nURS5n UR(a%[UUUU /5(aUS US US US U 3- nURU5 M URS R U55 SR U5$)Nitemslabelz - Confidence confidencex_minx_maxy_miny_maxz,at the position x_min: z , x_max: z, y_min: z , y_max:  z )getr!allappendjoin) self json_dataresult label_info found_obj label_strr*r+r,r-s r _parse_json%EdenAiObjectDetectionTool._parse_json-s "7+I$W-.nY|=TrWsF"!>..H   8 $F9FE0 E0r