CharlesFeng0314/JEV_sees
Eyes are All JEV Needs - real time visual devisions from RGB, video and RGB-D cameras.
From the publisher
README & documentation
Source previewRead the project’s overview, installation instructions and usage examples. The original README is the source of truth.
English | 中文 JEV is fast, structured, and built to make decisions. Connect an image, a video stream, or an RGB-D camera to JEV, and suddenly the same judgment engine can work on the visual world: identify what matters, estimate risk, score a situation, or judge many visible objects at once. One frame. Many objects. One JEV call. JEV judges. JEV Sees lets it see. JEV Control lets it act. JEV is already good at fast, closed, structured judgment: choice, probability, score. But without vision, a huge class of useful questions is simply unavailable: JEV Sees opens that door. It adds a visual front end to JEV so a camera can become another source of decisions — not just something that produces a description. VLMs are great when you want open-ended visual understanding: describe a scene, answer a broad question, explain what is happening. JEV is interesting when the question…
Read the full README ↗ · Preview checked 2026-10-03T12:13:36.817Z
Inside the original README — Document outline
- JEV Sees
- Give JEV eyes.
- Why give JEV eyes?
- Why this is interesting next to a VLM
- What can I ask?
- Identify
- Estimate a probability
- Judge many objects at once
- Quick start
- 1. Install
- 2. Add a JEV API key
- 3. Run the smallest example
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What this repository does
Eyes are All JEV Needs - real time visual devisions from RGB, video and RGB-D cameras.
Repository facts
- Owner
- CharlesFeng0314
- Primary language
- Python
- Stars
- 175
- Forks
- 8
- Open issues + pull requests
- 0
- License
- MIT
- Archived
- No
- Default branch
- main
- Created
- 2026-09-30T05:22:15.000Z
- Last push
- 2026-10-02T04:20:08.000Z
Topics and intended use
Owner-supplied topics: computer-vision, jev, multimodal-ai, object-detection, object-tracking, python, real-time-ai, rgbd, robotics, typesafe-ai, visual-reasoning, yolo
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Source and freshness
Source: GitHub. Metadata observed 2026-10-03T12:05:37.640Z. Daily imports are snapshots, not real-time monitoring.
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