A high-performance, model-agnostic geospatial inference pipeline for gigapixel satellite imagery. Features a memory-efficient chunking engine, flexible batch processing, and a unified CLI/GUI ecosystem for seamless deep learning integration on standard hardware.
computer-vision deep-learning geospatial gis pytorch remote-sensing earth-observation geospacial-analysis inference-pipeline gigapixel foundation-models satelite-imagery
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Updated
May 22, 2026 - Python