solidsf-inc/solidcv

Pure-Rust OpenCV Replacement & Visual/Mechanistic Accelerator for LLMs, VLMs, and 3D Spatial Computing (solidSF) solidcv (re-exported as solidcv::opencv for drop-in opencv-rust ergonomics) is a 100% pure-Rust, zero-FFI computer vision, stereo reconstruction, and mechanistic interpretability engine developed by solidSF (Andy Norris). It eliminates C++ libopencv build chains while unifying classical 2D/3D computer vision with Pixelean bit-sliced algebra, Voxelean 3D octree topology, $(3+1)\text{D}$ Hyper-Voxelean Worldtubes, RealityComber static-vs-moving scene separation, and native hardware kernels for Apple Silicon (aarch64 NEON + Metal 3.1 + WebGPU) and NVIDIA Grace-Blackwell GB300 / GB10 (PTX 8.5+ Tensor Core b1.xor.popc + NVLink-C2C coherent slabs). Modern Vision-Language Models (VLMs) and Mechanistic Interpretability pipelines face three severe bottlenecks that solidcv solves directly in memory: Current VLMs (ViT-14, SigLIP, LLaVA, Qwen-VL) tokenize every video or GUI frame into dense $14\times 14$ or $16\times 16$ patch grids and run full transformer prefill on every frame—even when $95\%+$ of the scene is static.…