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Watermark Anything download for Linux

Free download Watermark Anything Linux app to run online in Ubuntu online, Fedora online or Debian online

This is the Linux app named Watermark Anything whose latest release can be downloaded as watermark-anythingsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named Watermark Anything with OnWorks for free.

Follow these instructions in order to run this app:

- 1. Downloaded this application in your PC.

- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 3. Upload this application in such filemanager.

- 4. Start the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.

- 5. From the OnWorks Linux OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 6. Download the application, install it and run it.

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Watermark Anything


DESCRIPTION

Watermark Anything (WAM) is an advanced deep learning framework for embedding and detecting localized watermarks in digital images. Developed by Facebook Research, it provides a robust, flexible system that allows users to insert one or multiple watermarks within selected image regions while maintaining visual quality and recoverability. Unlike traditional watermarking methods that rely on uniform embedding, WAM supports spatially localized watermarks, enabling targeted protection of specific image regions or objects. The model is trained to balance imperceptibility, ensuring minimal visual distortion, with robustness against transformations and edits such as cropping or motion.



Features

  • Embeds localized or multiple watermarks directly into image regions
  • Enables watermark detection and bit-level decoding from images
  • Balances imperceptibility vs. robustness through a configurable scaling factor
  • Offers pretrained models on COCO (CC-BY-NC) and SA-1B (MIT) datasets
  • Implements robustness-focused training and fine-tuning pipelines
  • Supports multi-watermark embedding for complex content protection scenarios


Programming Language

Python


Categories

AI Models

This is an application that can also be fetched from https://sourceforge.net/projects/watermark-anything.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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