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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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