oeg1n18/simple-vpr-demo

Visual Place Recognition Demo

This is a Visual Place Recognition (VPR) demo using EigenPlaces model. Upload a query image to find similar places in our database of 400+ images from various cities.

How it works

1. 1.Upload a query image
2. 2.The model extracts visual features from your image
3. 3.It compares these features with pre-computed features from 400+ database images
4. 4.Returns the most similar matches with similarity scores and location information

Dataset

• —Database: 400+ images from various cities
• —Cities: Melbourne, Boston, and others
• —Metadata: Each image includes place ID, city, and GPS coordinates

Model

• —Architecture: EigenPlaces with ResNet50 backbone
• —Descriptor Dimension: 2048
• —Similarity Metric: Cosine similarity

Usage

1. 1.Upload a query image using the interface
2. 2.Adjust the number of matches you want to see (1-10)
3. 3.Click "Find Matches" to get results
4. 4.View the matched images and their metadata

Technical Details

The demo uses:

• —EigenPlaces model for visual feature extraction
• —Pre-computed descriptors for fast similarity search
• —Cosine similarity for matching
• —Gradio for the web interface

Files

• —app.py: Main Gradio application
• —model.py: Model loading and descriptor computation
• —dataset.py: Dataset handling and ground truth lookup
• —data/: Contains database images, query images, and ground truth JSON