asingh33/CNNGestureRecognizer
Gesture recognition via CNN. Implemented in Keras + Tensorflow/Theano + OpenCV observed · 2026-08-28
Health v2 · maintenance only
60/100
- Activity 83
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3412
- days_rel: n/a
- days_push: 104
- n_releases_24m: 0
Adoption not part of the score
1041 stars · 352 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A desktop application that recognizes hand gestures from webcam video using a convolutional neural network built with Keras, TensorFlow/Theano, and OpenCV. It includes training scripts, a dataset of ~4015 gesture images, and pretrained weight files.
Use cases
- recognize hand gestures from webcam
- train a CNN on gesture images
- gesture-controlled interface prototype
- visualize CNN feature maps
- learn gesture recognition with Keras and OpenCV
When to choose
- you want a working gesture recognition demo with pretrained weights
- you're learning CNNs with Keras and OpenCV
- you need a small gesture dataset to experiment with
When to avoid
- you need production-grade, real-time multi-hand tracking
- you require modern maintained dependencies (Theano is obsolete)
- you need mobile or embedded deployment
Facets
application · maturity maintenance
machine-learning computer-vision image-processing computer-vision machine-learning deep-learning python cross-platform gesture-recognition cnn keras opencv hand-gestures desktop
1 source
- readme: https://github.com/asingh33/CNNGestureRecognizer · fetched 2026-08-28 · b8816e77f13f
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| asingh33/CNNGestureRecognizer | main | 60 |
For agents
markdown · JSON · MCP: product_card(name="asingh33/CNNGestureRecognizer")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem