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https://github.com/peculiarventures/gammacv
GammaCV is a WebGL accelerated Computer Vision library for browser
https://github.com/peculiarventures/gammacv
computer-vision feature-extraction gpu gpu-acceleration image-analysis image-processing machine-learning machine-vision object-detection opencv webgl
Last synced: 5 days ago
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GammaCV is a WebGL accelerated Computer Vision library for browser
- Host: GitHub
- URL: https://github.com/peculiarventures/gammacv
- Owner: PeculiarVentures
- License: mit
- Created: 2018-06-28T22:01:00.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2025-01-04T14:10:00.000Z (26 days ago)
- Last Synced: 2025-01-26T06:05:56.577Z (5 days ago)
- Topics: computer-vision, feature-extraction, gpu, gpu-acceleration, image-analysis, image-processing, machine-learning, machine-vision, object-detection, opencv, webgl
- Language: JavaScript
- Homepage: https://gammacv.com
- Size: 27.5 MB
- Stars: 181
- Watchers: 17
- Forks: 24
- Open Issues: 14
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.md
Awesome Lists containing this project
README
# 
# 
#### GammaCV is a WebGL accelerated Computer Vision library for modern web applications.
We created GammaCV to make it easy to integrate Computer Vision in modern web applications. GammaCV was built with a similar architecture to TensorFlow, in particular, it also uses a data flow paradigm to create and run graphs on GPU, this enables the robust image processing and feature extraction capability of the library.
[](https://circleci.com/gh/PeculiarVentures/GammaCV)
## Installation
To install the stable version:
```bash
npm install --save gammacv
```
This assumes you are using [npm](https://www.npmjs.com/) as your package manager.
## Examples
- [Lines Detector](https://gammacv.com/examples/pc_lines)
- [Histogram of Oriented Gradients](https://gammacv.com/examples/hog)
- [Canny Edges](https://gammacv.com/examples/canny_edges)
- [Gaussian Blur](https://gammacv.com/examples/gaussian_blur)
- [Skin Test](https://gammacv.com/examples/skin_test)
- [Color Segmentation](https://gammacv.com/examples/color_segmentation)
- [Normalization](https://gammacv.com/examples/norm)
- [Histogram Equalization](https://gammacv.com/examples/histogram_equalization)
- [Extract Mean Std](https://gammacv.com/examples/extract_mean_std)
- [Extract Histogram](https://gammacv.com/examples/histogram)
## Documentation
You can find the GammaCV documentation [on the website](https://gammacv.com/docs).
## Want to help?
Want to file a bug, contribute some code, or improve documentation? Excellent! Read up on our guidelines for [contribution](https://github.com/PeculiarVentures/GammaCV/blob/master/CONTRIBUTING.md).
## Core Contributors
[Arkadiy Pilguk](https://github.com/apilguk),
[Mihail Zachepilo](https://github.com/WorldThirteen),
[Dmitriy Donskov](https://github.com/donskov),
[Ihor Pchelnik](https://github.com/p1nta),
[Rostyslav Kravchenko](https://github.com/RostyslavKravchenko),
[Andrii Omelianenko](https://github.com/andrOmelianenko)