Javacr/PyQt5-YOLOv5
PyQt5 implementation of YOLOv5 GUI observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1800
- days_rel: n/a
- days_push: 720
- n_releases_24m: 0
Adoption not part of the score
1547 stars · 238 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A desktop GUI application built with PyQt5 that wraps YOLOv5 (v6.1) object detection models. It supports running detection on images, videos, webcams, and RTSP streams with adjustable confidence and IoU thresholds and automatic saving of results.
Use cases
- run yolov5 object detection with a gui
- detect objects in webcam or rtsp stream
- batch detect objects in images and videos
- adjust confidence and iou thresholds visually
- package a yolov5 detector as a desktop exe
- view detection result statistics
When to choose
- you want a ready-made desktop interface for YOLOv5 inference without writing code
- you need to demo object detection on live camera or video streams
- you want to tweak model, confidence, and IoU settings interactively
When to avoid
- you need training or fine-tuning of YOLOv5 models
- you need a headless or server-side detection pipeline
- you require YOLOv8 or newer architectures natively (see forked alternatives)
Facets
application · maturity maintenance
computer-vision machine-learning gui image-processing video-processing computer-vision machine-learning desktop-applications deep-learning python cross-platform yolov5 object-detection pyqt5 gui-application inference desktop
1 source
- readme: https://github.com/Javacr/PyQt5-YOLOv5 · fetched 2026-08-28 · 8de5861ffee5
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Javacr/PyQt5-YOLOv5 | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="Javacr/PyQt5-YOLOv5")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem