GeoIP2Fast is the fastest GeoIP2 country/city/asn lookup library. A search takes less than 0.00003 seconds. It has its own data file updated twice a week with Maxmind-Geolite2-CSV and is Pure Python!
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Updated
Sep 20, 2024 - Python
GeoIP2Fast is the fastest GeoIP2 country/city/asn lookup library. A search takes less than 0.00003 seconds. It has its own data file updated twice a week with Maxmind-Geolite2-CSV and is Pure Python!
Easily download and evaluate pre-trained Visual Place Recognition methods. Code built for the ICCV 2023 paper "EigenPlaces: Training Viewpoint Robust Models for Visual Place Recognition"
An OSINT Geolocalization tool for Telegram that find nearby users and groups 📡🌍🔍
This is an official PyTorch implementation of our NeurIPS 2023 paper "GeoCLIP: Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization"
Picarta AI Image Geolocalization API.
An RSSI Radar library based on RRVP algorithm 📶
Code for the CVPR 2024 paper highlight and demo "PIGEON: Predicting Image Geolocations".
a study of image geolozalization of MLDL course 2024 of POLITO (Politecnico di Torino) university.
Implementation and evaluation of a visual place recognition model for geolocalization, incorporating novel miner behavior adjustments and comprehensive model comparisons across different configurations of miners and loss functions.
Automatic download VPR datasets in a standard format
Official code for CVPR 2022 paper "Rethinking Visual Geo-localization for Large-Scale Applications"
Official Repository of "Learning Sequential Descriptors for Sequence-based Visual Place Recognition "
Geolocalización de IP: Encuentra Ubicaciones con Precisión
Config files for Picarta.ai GitHub profile.
Authors official PyTorch implementation of the "Leveraging EfficientNet and Contrastive Learning for Accurate Global-scale Location Estimation" [ICMR 2021] and "Leveraging Selective Prediction for Reliable Image Geolocation" [MMM 2022]
Official code for CVPR 2022 (Oral) paper "Deep Visual Geo-localization Benchmark"
Gem that tracks suspicious activity within your user sessions.
A React Native App (TBD: paired with an Android Widget) displaying the current location from a NUTS data source
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