Video Location Estimator
Overview
This project uses the SatCLIP model to estimate the geographic location of a video based on its visual content. It works by extracting frames from the video, processing each frame through the SatCLIP model, and averaging the estimated locations to produce a final location estimate.
Prerequisites
- Python 3.7+
 - FFmpeg
 - PyTorch
 - rasterio
 - scikit-learn
 - numpy
 - matplotlib
 
You also need to have the SatCLIP model and its associated data (control embeddings, locations) set up.
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