# ReInterHand shared-v1.0 — reproduction and review

Use Python 3.12 on Linux (the archived production converters use POSIX locks,
symlinks and archive streaming). No GPU is required. Two dataset workers and
two FFmpeg threads per worker are the production limits; numerical libraries
are limited to one thread by `run.py`. Leave at least 400 GB free.

## Install

Create a Python 3.12 virtual environment **outside** shared-v1.0:

```sh
python3.12 -m venv ../runtime-env
. ../runtime-env/bin/activate
python -m pip install -r script/requirements-lock.txt
ffmpeg -version
ffprobe -version
```

Install FFmpeg/ffprobe separately (production ReInterHand used FFmpeg 6.1.1).
The package lock records direct Python dependencies, not a full OS image.
Acquire MANO v1.2 LEFT/RIGHT pickle files under the MANO license; they are not
redistributed here. Put them in the `models` directory in `script/config.json`.
For ReInterHand that directory must be `<runtime>/models`. Install dependencies
in the activated environment; the optional `packages` path allows reuse of
the existing server installation. It may point to a nonexistent directory
when using the virtual environment. Paths in config are relative to the dataset
root (the parent of shared-v1.0), or may be absolute. Place raw at `<root>/raw`.

## Commands (from shared-v1.0)

```sh
python script/run.py checksums
python script/run.py preflight
python script/run.py inventory
python script/run.py validate
python script/run.py validate --tensors
python script/run.py validate --tensors --media
python script/run.py review
```

`validate` reads every view's metadata, declared references and complete frame
mapping. `--tensors` also loads component data/valid tensors, checks T, dtype,
finite valid values and camera rotations. `--media` decodes all MKV streams
to count frames and check dimensions; it can take many hours. Neither mode
claims source pixel equivalence or independent official digest verification.
For machine reports use `python script/validate_release.py --output ../tmp/check`.

`review` reads the current data and writes a new fixed-seed complete-sequence
review to config `review_output`; an existing output is rejected to preserve
earlier review evidence. New reports start pending and require new human review.

## Reproduce conversion in a fresh root

Copy this script directory into a fresh `<root>/shared-v1.0/script`, configure
the models and put the verified raw at `<root>/raw`. Pilot and production
should use separate output roots. After explicit pilot approval:

```sh
python script/run.py pilot --sequence '<capture ID>' --segment <action>
python script/run.py full
```

The safe handoff entry refuses conversion into a populated data directory.
For an interrupted run, investigate first, retain its tmp checkpoints and use
the archived converter directly with the same arguments, input, script and
configuration. Do not remove locks without checking the actual process.
ReInterHand historical checkpoints do not bind every script/input change;
do not reuse them after changing converter logic. Existing production data
was not reconverted during this documentation repair.

## File responsibilities

- `run.py`: simple release-local CLI, config loading, CPU limits and guards.
- `config.json`: paths, resources, deterministic review seed and optional partition.
- `preprocess_*.py`: archived dataset conversion implementation; retained filenames
  preserve imports and production provenance.
- `validate_release.py`: independently rereads final files; no data writes.
- `render_*`: full-sequence review renderers, called by `run.py review`.
- `requirements-lock.txt`: pinned direct Python dependencies.
- `checksums.json`: all formal script file SHA256 values, excluding itself.

Publication is deliberately external to this reproduction bundle. This bundle
has no upload command. Existing fixed-commit
verification evidence is in `../doc/validation/publication/`; a future release
must get authorization and create a new manifest before publication.
Raw is read-only. Scratch, logs, locks and model files stay outside shared-v1.0.
See `../doc/RAW_MAPPING.md` for time semantics, splits and modality mappings.

For distributed reproduction, set captures_file to captures-iipl100.txt or captures-iipl126.txt, never both on one worker. The two lists are disjoint and cover all 10 captures. Set partition to the matching label for sampling.