Spaces:
Running
Running
| title: DVIDIA Observation Lab | |
| emoji: 🔎 | |
| colorFrom: gray | |
| colorTo: blue | |
| sdk: static | |
| app_file: index.html | |
| license: mit | |
| tags: | |
| - robotics | |
| - annotation | |
| - offline | |
| - research | |
| - synthetic | |
| # DVIDIA Observation Lab | |
| An interactive **synthetic review-workflow demo** of the open-source local | |
| [DVIDIA Observation Lab](https://github.com/Dvidia-Inference/dvidia-training/blob/observation-lab-v0.1.0/docs/observations.md). | |
| Play a schematic clip, inspect timestamped image boxes, edit labels/boundaries, | |
| approve or reject proposals, add a missed event, save a browser-local revision, | |
| and download its JSON. | |
| **The two videos and annotations are authored geometric fixtures. No object | |
| detector, VLM, trained DVIDIA model, live tracking or robot policy runs here.** | |
| The occlusion example deliberately omits blue-shape annotations behind a panel. | |
| These clips demonstrate the interface, not annotation accuracy or task success. | |
| ## Your reviews stay in your browser | |
| This static Space has no upload endpoint, backend review store, account or model | |
| download. Review revisions stay in this browser’s storage and never go to DVIDIA | |
| or Hugging Face as application requests. If browser storage or cross-tab locking is unavailable, | |
| the page explicitly uses temporary memory; download your saved review before | |
| leaving. Reset removes only this demo’s local revisions. The host still receives | |
| ordinary page/media requests under its own policies. | |
| The synthetic originals are read-only. Source/annotation hashes and revision | |
| parents detect inconsistent local history; they do not authenticate a reviewer | |
| or independently establish annotation correctness. An accepted event does not | |
| qualify a robot skill. | |
| ## Install the actual local detector tool | |
| The actual tool uses locally provisioned, hash-checked **OpenCV Zoo YOLOX and | |
| MediaPipe palm ONNX detectors**. It runs locally after setup, samples at two | |
| frames/second, associates image boxes, proposes image-overlap relations and | |
| records append-only review revisions. It has no VLM or calibrated 3D/force output. | |
| With Python 3.12+ and FFmpeg/ffprobe installed, check out the versioned release: | |
| ```sh | |
| git clone --branch observation-lab-v0.1.0 https://github.com/Dvidia-Inference/dvidia-training.git | |
| cd dvidia-training | |
| python3.12 -m venv .venv | |
| .venv/bin/python -m pip install '.[observations]' | |
| .venv/bin/python scripts/download_observation_models.py --download --output runs/observation-models | |
| .venv/bin/dvidia-observe analyze /path/to/source.json --models runs/observation-models --output runs/observations-001 | |
| .venv/bin/dvidia-observation-studio runs/observations-001 --port 8280 | |
| ``` | |
| The explicit provisioning step needs network access and downloads about 40 MB of | |
| upstream weights. Inference makes no model downloads. Keep permitted footage | |
| local and provide the documented provenance/permission manifest. The local | |
| server binds only to 127.0.0.1; its local filesystem interface is not a public | |
| upload service. No GPU is required for this CPU detector path, but measured | |
| minimum hardware and other-platform throughput have not been established. | |
| - [Setup and input contract](https://github.com/Dvidia-Inference/dvidia-training/blob/observation-lab-v0.1.0/docs/observations.md) | |
| - [Actual feasibility report](https://github.com/Dvidia-Inference/dvidia-training/blob/observation-lab-v0.1.0/benchmarks/observation-20261010/README.md) | |
| - [Model artifacts and licenses](https://github.com/Dvidia-Inference/dvidia-training/blob/observation-lab-v0.1.0/docs/observation-models.md) | |
| - [Planned independent accuracy/correction-effort study](https://github.com/Dvidia-Inference/dvidia-training/blob/observation-lab-v0.1.0/docs/observation-pilot-plan.md) | |
| - [DVIDIA research](https://research.dvidia.org/) | |
| - [DVIDIA Hugging Face organization](https://huggingface.co/Dvidia) | |
| ## Reproduce and inspect this demo | |
| The Space contains the original MIT review page at `source/observation_studio.html`, | |
| its clearly labeled demo derivative at `index.html`, a browser-only fixture API, | |
| and generated synthetic videos/JSON. `provenance.json` records explicit source | |
| hashes; `demo/provenance.json` records the drawing recipe, encoder version and | |
| media hashes. The public repository's separate preparation script stages only | |
| these allowlisted files and creates the complete publication inventory. | |
| `python3 generate_demo.py --output new-demo` regenerates the schematic clips | |
| with local FFmpeg/libx264. The geometry is deterministic; encoded file hashes | |
| depend on the FFmpeg build. Serving this directory over HTTP is sufficient to | |
| run the demo. No runtime Python dependencies, Docker or GPU are needed. | |
| Own demo source and authored fixtures are MIT. The separate actual detector | |
| adapter/weights retain upstream Apache 2.0 licenses and attribution, included here | |
| under `licenses/` for reference; no upstream code or weights are bundled in this | |
| Space. See `LICENSE` and `THIRD_PARTY.md`. | |