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Jev Vision for Self-driving

A demo that applies Jev box-type questions to traffic footage from Jakarta one frame in four: Jev finds cars, motorcycles and buses, a local tracker fills the other frames, and the app overlays boxes with latency, cost and detection counts.
Stars
4
Language
Python
Reading time
2 min
Published by
Community
Author
Amr-devman
Last verified
Oct 2026
Languages
Python
Platforms
CLI
Capabilities
Open sourceRequires API key

Highlights

  • Jev answers box-type questions on traffic video; the app draws boxes and shows latency, cost and detection count.
  • Jev checks one frame in four; a local image tracker follows boxes on the other frames to cut API cost and box jitter.
  • Tracked boxes are drawn dashed and Jev's boxes solid, per the README's how-it-works section.
  • For each checked frame the app sends the full image plus 30 tiles arranged in grids.
  • Python 3.11+, ffmpeg and a TypeSafe API key; the input clip is included in the repo.

Quickstart

bash
python3 -m venv .venv
.venv/bin/pip install -r requirements.txt
cp .env.sample .env
.venv/bin/python jev_vision.py

Watch out

README reviewed 2026-10-17; this is a small demo (3 stars) with a one-minute Jakarta traffic clip, the digest excerpt cuts off mid-sentence about the 30 tiles, and no detection accuracy figures are given.

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