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BAMA: Build Any Mac App. Agent skills to research, clone, design, build, optimize, and test native macOS apps with Swift and SwiftUI.
3D model → 4–8 camera render → COLMAP → 4D Gaussian Splatting workflow for coding agents, with ready-made scripts and rules.
SkillsGitHub @snmzzcenkOnlineOwner unconfirmed
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Open tools for 4D Gaussian Splatting with 4dgspl.at: Blender multi-camera rig + COLMAP calibration, pre-upload checker, AI agent instructions (Claude Code, Codex)
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Read the full README ↗Open tools for making 4D Gaussian Splatting (4DGS) content with 4dgspl.at. Turn a 3D model, an animated character (for example from Mixamo) or a Blender scene into a synchronized multi-camera render with exact COLMAP calibration, validate it, and convert it to a 4DGS sequence that plays in the browser.
Built to be used by AI coding agents (Claude Code, Codex, …) as well as people. Agents: start with AGENTS.md.
| Tool | What it does |
|---|---|
tools/4dgspl_blender_rig.py | Blender: builds a 4–16 camera ring (8 recommended, two heights) around the scene, renders cam00.mp4 … from every camera and writes COLMAP cameras.txt + images.txt (kalibrasyon.zip). Pure black world by default. |
tools/4dgspl_yukle.py | Dependency-free upload client for an agent key (DGSPL_ANAHTAR). It validates, creates a project, uploads, submits, waits and downloads the per-frame 3DGS result: --gonder --bekle --indir result. |
tools/4dgspl_mcp.py | Dependency-free MCP server (stdio). Claude Code, Codex, Cursor or Claude Desktop get 4dgspl.at as tools: get_4dgs_guide, check_delivery, upload_project, submit_project, project_status, list_projects, download_result. |
tools/4dgspl_kontrol.py | Dependency-free pre-upload checker. It checks video names, resolution, fps and frame count, the calibration format and pixel units, whether the cameras look at a common centre, height variety and ring gaps, and a black background. --json output; exit code 1 on errors. |
# 1. Camera ring + render + calibration (Blender 4.x)
blender -b scene.blend -P tools/4dgspl_blender_rig.py -- --kamera 8 --yaricap 3.5 --cikti //teslim --render
# 2. Validate
python3 tools/4dgspl_kontrol.py teslim
# 3. Upload, process and download with your agent key (4dgspl.at → Projelerim → Ajan anahtarları)
export DGSPL_ANAHTAR=4dg_…
python3 tools/4dgspl_yukle.py teslim --gonder --bekle --indir result
Real footage without a calibration file: add --colmap (8+ cameras at most 45° apart, textured scene).
Rules that matter most:
Details: agent guide · capture guide · examples · llms.txt
skills/4dgs-blender/SKILL.md packages the whole workflow as an agent skill: GLB 3D animation, video, still image and 4DGS videos from one Blender scene. To install it in Claude Code, copy the folder into ~/.claude/skills/. Agents that read SKILL.md from their own skills folder can use the same files.
mkdir -p ~/.4dgspl && cd ~/.4dgspl && curl -O https://4dgspl.at/araclar/4dgspl_mcp.py \
-O https://4dgspl.at/araclar/4dgspl_yukle.py -O https://4dgspl.at/araclar/4dgspl_kontrol.py
claude mcp add 4dgspl --env DGSPL_ANAHTAR=4dg_… -- python3 ~/.4dgspl/4dgspl_mcp.py # Claude Code
codex mcp add 4dgspl --env DGSPL_ANAHTAR=4dg_… -- python3 ~/.4dgspl/4dgspl_mcp.py # Codex
4dgspl.mcpb from the latest release and enter the key in its settings.python3, argument the path to 4dgspl_mcp.py, environment DGSPL_ANAHTAR.get_4dgs_guide and check_delivery still work.io.github.snmzzcenk/4dgspl (server.json). Build the bundle with python3 mcpb/build.py.4dgspl.at reconstructs every frame as a 3D Gaussian Splatting scene (gsplat). The output is:
compressed.ply sequence in PlayCanvas format;sahne.json with the frame count, fps, start camera and metrics;Play the sequence in the browser with PlayCanvas, or open a single frame in SuperSplat.
4dgspl.at ile 4D Gaussian Splatting içeriği üretmek için açık araçlar. Blender rig betiği 4–16 kameralı halkayı kurar, her kameradan render alır ve COLMAP kalibrasyonunu yazar. Denetleyici, teslimi yüklemeden önce motorun kurallarına göre kontrol eder (--dil tr). Yapay zekâ ajanları için iş akışı: https://4dgspl.at/ajan.html
The tools in this repository are copies of https://4dgspl.at/araclar/; the site is the source and they are kept in sync. MIT license.