# Javacr/PyQt5-YOLOv5

PyQt5 implementation of YOLOv5 GUI

Repository: https://github.com/Javacr/PyQt5-YOLOv5
Canonical: https://ross.abutalabs.com/products/pyqt5-yolov5
Language: Python
License: GPL-3.0
License Family: copyleft
Last push: 2024-09-12T12:58:17+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 1800, "days_push": 720, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1547, forks 238 (observed 2026-08-28T04:05:01.737538+00:00)

## What it is
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
- artifact type: application
- maturity: maintenance
- function: computer-vision, machine-learning, gui, image-processing, video-processing
- domain: computer-vision, machine-learning, desktop-applications, deep-learning
- platform: python, cross-platform
- tags: yolov5, object-detection, pyqt5, gui-application, inference, desktop

## Member repositories
- Javacr/PyQt5-YOLOv5 (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:01.737538+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:30:27.598419+00:00, confidence not recorded.
  - readme: https://github.com/Javacr/PyQt5-YOLOv5 (fetched 2026-08-28T04:05:01.737538+00:00, sha 8de5861ffee5)
- Data as of 2026-08-30T08:39:29.467469+00:00.