Doop
Doop is an open-source multiplayer design canvas and design MCP for Claude Code, Codex, and any AI agent. Design side by side with agents — free in beta.
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尚未偵測到更新。GitHub 發布版本後會顯示在這裡。
個人 GitHub 帳號下公開儲存庫的擁有者可以登入並驗證所有權,自行管理介紹,無需管理員核准。
登入並產生驗證檔案,在 30 分鐘內將其提交至此儲存庫的預設分支。其他分支或分叉儲存庫中的檔案無效。然後在下方檢查檔案,即可無需管理員核准直接管理專案。請保留檔案以維持管理權限。
如需登入,將前往登入頁面。登入後請回到此處,再次點擊所選的驗證按鈕。
在專案資料夾中執行 /nomorevibe verify,即可驗證所有權並自行管理介紹。
一分鐘完成驗證製作者的介紹僅有上面的一句話。 更多詳情請閱讀儲存庫 README。 儲存庫 README ↗
正在載入完整 README。
檢視完整 README ↗Map a few thousand m² of land in 3D by walking it once with an iPhone Pro (LiDAR).
ios/ — WalkScan, a SwiftUI + ARKit app. Records LiDAR depth, camera poses, photos and
GPS to disk during one continuous walk, with a live coverage minimap (red = not yet seen) and
haptic warnings (too fast, tracking lost, pointing at the sky, heat, battery, storage).pipeline/ — Python (uv + Open3D) on the Mac: drift correction (fragment pose graph with
loop closures), coloured point cloud, TSDF mesh, ground height grid, GPS georeferencing, and a
three.js browser viewer. See pipeline/README.md.FORMAT.md — the on-disk walk format shared by the app and the pipeline.scripts/ — fetch/crop IDE Uruguay national orthophoto and elevation tiles for context.ios/WalkScan.xcodeproj, pick your team under Signing, run on an iPhone/iPad with LiDAR.xcrun devicectl (see pipeline README).cd pipeline && uv run python process.py <walk.zip or walk folder>, then open the printed viewer URL.Recordings (walks/), outputs (out/) and downloaded map data (data/) are git-ignored.