Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/eluv-io/blind-video-watermark

Blind video watermarking with great invisibility and robustness.
https://github.com/eluv-io/blind-video-watermark

blind-watermark image-processing python video video-processing watermark-video watermarking

Last synced: about 2 months ago
JSON representation

Blind video watermarking with great invisibility and robustness.

Host: GitHub
URL: https://github.com/eluv-io/blind-video-watermark
Owner: eluv-io
License: mit
Created: 2022-07-27T21:24:07.000Z (over 2 years ago)
Default Branch: main
Last Pushed: 2022-08-11T19:07:28.000Z (over 2 years ago)
Last Synced: 2024-11-07T14:06:56.429Z (2 months ago)
Topics: blind-watermark, image-processing, python, video, video-processing, watermark-video, watermarking
Language: Python
Homepage: https://github.com/eluv-io/blind-video-watermark
Size: 3.72 MB
Stars: 72
Watchers: 2
Forks: 17
Open Issues: 6
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

README

# blind-video-watermark

[![PyPI](https://img.shields.io/pypi/v/blind-video-watermark)](https://pypi.org/project/blind-video-watermark/)
[![License](https://img.shields.io/badge/license-MIT-green)](https://github.com/eluv-io/blind-video-watermark/blob/main/LICENSE)

Blind video watermarking with great invisibility and robustness.

`blind-video-watermark` features multiple blind video watermarking techniques in DT CWT domain. It aims at achieving good imperceptibility and strong robustness against various operations and attacks, including compression, resizing, cropping, rotation and frame rate conversions.

## Installation

```bash
pip install blind-video-watermark
```
For the latest in-development version:
```bach
git clone https://github.com/eluv-io/blind-video-watermark
cd blind-video-watermark
pip install .
```

## Getting Started

1. The documentations are hosted on this repo's [Wiki Page](https://github.com/eluv-io/blind-video-watermark/wiki). Check this [page](https://github.com/eluv-io/blind-video-watermark/wiki/CLI) for examples and documentations of the command line interface.
2. Play with the examples in `examples` directory. All sample videos, images and watermarks are included inside. Take a look at the [doc](https://github.com/eluv-io/blind-video-watermark/wiki/Lib) for various interfaces for developers.