Automated README summary
Automatically summarized from the README on 21 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
FrameFind is a local Python web app for finding moments in videos by describing them in natural language. Users upload a clip or import a public video URL, search for scenes, objects, text, or actions, then play or export matching snippets.
How it uses Jev
Jev checks sampled frames (every tenth decoded frame) against each query, including nearby frames for motion context, with 8 concurrent requests by default. It returns a normalized relevance score; frames scoring at or above the fixed 95% cutoff become playable snippets. Repeated queries reuse saved scores.
Primitives:score
Technique worth stealing
Sample every tenth frame locally, score frames with Jev against a natural-language query, and cache scores per frame and model.
Try it
Install Python 3.11+, FFmpeg, and Node.js 22+; run python start.py, enter your TypeSafe key, and open http://127.0.0.1:8765.
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-1.13.0- Project signals
jev-1.13.0- Category
jev-1.13.0- Pattern tags
jev-1.13.0
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 projectunclear0.55
- Shows a System One patternnot found in the excerpt0.09
- Describes handling uncertaintynot found in the excerpt0.04
- Reports measured numbersnot found in the excerpt0.04
- Is a runnable toolFound in material0.93
- Top-10 learning shortlist signalnot found in the excerpt0.17
- Is a replica of the modelnot found in the excerpt0.03
- Solves a common problem (0–2)score on a 0–2 scale0.85 / 2
- About JevFound in material0.97
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 21 Oct 2026.