Replaces the placeholder stub that returned EXIT_PENDING with a real
analyze --config <yaml> [--output <json>] command. Loads the YAML,
validates through AnalysisConfig (so typos fail with a clear
ValidationError before any predictions load), runs the pipeline,
and writes the AnalysisReport atomically.
Surfaces YAML parse errors and schema violations as EXIT_USAGE=2
with messages pointing at the offending file. Missing predictions
files during execution also surface as EXIT_USAGE rather than a
bare traceback.
Prints a one-line summary after the run: segmentation counts, the
analysis kind, and — for DTW — the per-segment distance count and
mean. --output / -o overrides the report path declared in the
config, useful when sweeping a single config over multiple input
pairs from a shell loop.
Captures the MeTRAbs SHA-256 and filename plus tensorflow /
tensorflow-metal / numpy / neuropose / python versions, and reserves
slots for seed, deterministic, and analysis_config. Populated
automatically by Estimator.process_video when the model was loaded via
load_model; propagates into JobResults and BenchmarkResult via the
existing output path. None on the injected-model test path where no
SHA is known.
_model.load_metrabs_model now returns a LoadedModel dataclass so the
estimator can bundle the TF handle with the pinned SHA without
re-hashing the tarball on every daemon startup. All test fakes and
the integration smoke tests updated to unwrap .model.
Bumps the optional schema_version field on VideoPredictions and
BenchmarkResult to default=CURRENT_VERSION so fresh writes stamp the
latest version; legacy payloads without it are migrated on load via
the chain registered in the previous commit.
Levi Neuwirth