Automated README summary
Automatically summarized from the README on 30 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
S1GHT is a Python library that asks decision models typed questions about images and video, returning calibrated probabilities. It supports full-frame prediction and hybrid tracking where a YOLO detector tracks objects and decisions are made per track within a budget.
How it uses Jev
Jev answers typed Noul, Choice and Score questions about an image or about each tracked object's crop. The scheduler selects which tracks to ask (new, changed, uncertain, stale) within a decisions-per-second budget. Answers are smoothed over time, calibrated, and Noul threshold crossings become start/end events.
Primitives:noulchoicescore
Technique worth stealing
Budgeted scheduling of decisions per track with temporal smoothing and calibration turns raw model scores into thresholdable events.
Try it
pip install "s1ght-visual-decisions[native]" then run model.decide() or model.track() as shown in README.
Model judgments from README excerpts
Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.
Models & evaluation dates
- Inclusion gate
jev-1.14.0- Project signals
jev-1.14.0- Category
jev-1.14.0- Pattern tags
jev-1.14.0
Evidence
These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.
- Jev is core to the projectunclear0.54
- Shows a System One patternFound in material0.95
- Describes handling uncertaintynot found in the excerpt0.34
- Reports measured numbersnot found in the excerpt0.02
- Is a runnable toolFound in material0.92
- Top-10 learning shortlist signalnot found in the excerpt0.05
- Is a replica of the modelnot found in the excerpt0.07
- Solves a common problem (0–2)score on a 0–2 scale1.15 / 2
- About JevFound in material0.93
no-judgment band (0.40–0.60)
no-judgment band (0.40–0.60)
The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 30 Oct 2026.