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gmberton/VPR-methods-evaluation ★ 204 34 DATA_RESEARCH

This repository is a research evaluation harness for Visual Place Recognition (VPR) models. It wraps a wide range of state-of-the-art VPR methods behind a common CLI, allowing users to run any supported model on standard VPR datasets (e.g., St Lucia) or a bundled toy dataset. The main entry point is test_dataset.py, which loads database/query image folders, extracts descriptors using the selected model, computes recall@N metrics, and saves logs and optional visualizations. The repo is designed to work with the companion VPR-datasets-downloader to standardize dataset format. Although it is a CLI tool, its primary purpose is research evaluation, so it is classified as data_research.

RATING: 7.9/10 REPRO: 7.0/10 MAINT: active DRIFT: low
#visual-place-recognition #benchmark #evaluation #pytorch #image-retrieval #research-code #computer-vision #geolocalization #localization #place-recognition #visual-geo-localization
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