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title: Video to COLMAP for tttLRM
emoji: 🎞️
colorFrom: yellow
colorTo: gray
sdk: gradio
sdk_version: 6.2.0
python_version: 3.12
app_file: app.py
pinned: false
suggested_hardware: cpu-upgrade
---
# Video to COLMAP for tttLRM
Standalone Hugging Face Space that converts an uploaded video into a raw COLMAP scene archive suitable for the `tttLRM` inference Space.
## What it does
- Normalizes uploaded video with `ffmpeg`
- Samples candidate frames across the clip
- Scores sharpness, scene cuts, and inter-frame motion
- Chooses an ordered keyframe set with overlap appropriate for COLMAP
- Runs CPU COLMAP (`feature_extractor`, `sequential_matcher`, `mapper`)
- Packages a raw scene archive with:
- `images/`
- `sparse/0/`
- `report.json`
## Recommended workflow
1. Upload a short orbit or slow pan video of a single object or scene.
2. Download the generated raw COLMAP `.zip`.
3. Upload that archive into the companion `tttLRM` inference Space.
## Notes
- This Space is CPU-oriented because COLMAP runs on CPU in standard Hugging Face Spaces more reliably than GPU-specific builds.
- Best results come from a stable single-shot orbit video with limited lighting changes and no jump cuts.
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