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🛰️ SAHI-powered satellite reconnaissance system for detecting military vehicles in high-resolution imagery. Uses YOLOv8 with sliding window inference to detect small objects (tanks, trucks, AFVs) that standard detection misses due to aggressive image downscaling. Processes 4000x4000 images via 512x512 overlapping tiles.
Fast image tiling, sliding-window cropping, and seamless reconstruction with overlap blending. Designed for deep learning inference on large images (segmentation, detection, super-resolution). Pure NumPy with optional GPU (CuPy) support.