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.
Inference Providers
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