AD-Census
Runs the high‑performance AD‑Census stereo matching algorithm in C++ to generate dense depth maps from a pair of rectified images.
- •You need real‑time depth estimation on a robot or AR device that uses an Intel RealSense D400 camera.
- •You want a CPU‑only baseline for comparing against neural‑network depth models.
- •Your product requires a deterministic, low‑latency depth map that can be compiled into an embedded C++ binary.
./ad_census ./samples/left.png ./samples/right.png ./output/depth.png --max-disparity 128 --census-window 9
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/ad-census && curl -fsSL https://workflowstacks.com/api/skills/ad-census/claude-skill -o ~/.claude/skills/ad-census/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
AD-Census is a small C++ project (~1.8k lines across 14 code files). Setup is light: small project — see the README for how to run it. Last commit 70 months ago, MIT license, no tests found.
- 1README.mdStart here — what it does and how to install it
- 2AD-Census/main.cppInside AD-Census/ — the main logic begins here
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/ad-census && curl -fsSL https://workflowstacks.com/api/skills/ad-census/claude-skill -o ~/.claude/skills/ad-census/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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