An automated clip production system that cuts event-level training clips with pre/post-roll context and structures them into timeline-based datasets.

OVERVIEW
Event Clip Factory is the production engine of the pipeline. It takes generated scenarios and automatically cuts them into event-level clips -- each with configurable pre-roll and post-roll context, precise event start/end markers, and structured event timelines. Unlike frame-level annotation tools, Event Clip Factory produces datasets designed for temporal event recognition, where the model needs to understand when something begins and ends, not just what is visible in a single frame. Every run is reproducible via seed and configuration versioning.
TECHNOLOGY
Automated event-boundary detection and clip extraction with configurable pre-roll and post-roll durations.
Organizes clips into structured event timelines with start/end markers, event metadata, and temporal annotations.
Rust-based deterministic runtime ensuring identical outputs given the same seed and configuration.
Scalable clip production system that generates thousands of event clips in parallel with resource optimization.
CAPABILITIES
Automatically cut clips at event boundaries with configurable pre-roll and post-roll context windows.
Structure each clip with precise start/end timestamps, event type labels, and state-change markers.
Every production run is deterministic -- same seed and config always produce identical datasets.
Export completed clip datasets in standard ML formats ready for immediate model training pipeline integration.
Every dataset run is tracked with full configuration history for audit trails and iterative improvement.
Handle multiple event types within a single clip, supporting complex multi-event scenarios.
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