GeezerVison is showing github.com — ParkWardRR - Overview
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A driving log for your own car, kept on your own computer: an OBD-II dongle, your iPhone as the relay, a server you run and a web dashboard. No cloud, no account. This is the front door: docs, road…
Go
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Render a print-ready keepsake road-trip map — route, ferries, stays, sights, weather & blow-up insets — from one JSON file, over 15 basemaps.
Svelte
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Capture BMW ISTA diagnostic sessions and package them for LLM-assisted vehicle troubleshooting
Go
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Forked from bbenchoff/OrthoRoute
Apple Metal GPU backend for OrthoRoute PCB autorouter -- GPU-accelerated shortest-path routing on Apple Silicon (M1/M2/M3/M4) using Metal Shading Language, replacing CUDA/CuPy. 3.7x faster than RTX…
Python
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OpenWrt with NSS hardware offload for EnGenius EWS377AP v3, ECW230v3 & EWS377-FIT (IPQ8072A, ap-hk07). 4×4 Wi-Fi 6, 2.5 GbE, kernel 6.18. Alpha — hardware-validated on EWS377AP v3. Community tester…
Zig
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If you are running a custom Synology... If you are running a custom Synology DVA build (DVA3221 or DVA3219, via Proxmox, ESXi, or baremetal Xpenology/ARC loader) with a dedicated NVIDIA GPU, you may encounter an issue where Surveillance Station's Deep Learning analytics (DVA) fail to load or crash.
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# Fixing Synology DVA AI Inference with Community NVIDIA GPU Drivers
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If you are running a custom Synology DVA build — **DVA3221** or **DVA3219** via Proxmox, ESXi, or bare metal Xpenology/ARC loader — with a dedicated NVIDIA GPU, you may hit a frustrating issue: **Surveillance Station Deep Learning analytics fail to load, crash, or silently do nothing**.
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This guide provides a clean, standalone fix that restores native DVA AI inference while keeping the broader GPU compatibility and modern transcoding benefits of the community NVIDIA driver.
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