kongqw/OpenCVForAndroid
目标检测&目标追踪&人脸检测&人脸识别 observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
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: 3645
- days_rel: n/a
- days_push: 3162
- n_releases_24m: 0
Adoption not part of the score
2228 stars · 636 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
An Android sample library built on OpenCV 3.2.0 demonstrating object detection (face, eyes, smile, body), object tracking with the CamShift algorithm, and face recognition. It is a Java-based demo project requiring OpenCV Manager on Android.
Use cases
- detect faces in android camera feed
- track objects with camshift on android
- android opencv face detection example
- detect eyes and smiles in images on android
- compare faces for recognition on android
When to choose
- you need a working Android example of OpenCV-based face detection or CamShift tracking
- you are learning OpenCV integration on Android with Java
When to avoid
- you need a maintained library or recent OpenCV support (last release 2018)
- you need production-grade detection or modern ML-based face recognition
- you need a license-compliant dependency (no license provided)
Facets
library · maturity abandoned
computer-vision image-processing computer-vision android-tools machine-learning jvm opencv face-detection object-detection object-tracking camshift face-recognition sample-project android mobile
1 source
- readme: https://github.com/kongqw/OpenCVForAndroid · fetched 2026-08-28 · fe61a41a10b2
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| kongqw/OpenCVForAndroid | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="kongqw/OpenCVForAndroid")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem