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...But, it lacks the ability to export each panel in high quality state & the Export feature is deprecated in modern versions. 🖥️ How to use Panel Splitter? - Download Panel Splitter for Adobe Photoshop - Double click on the downloaded setup file and install the software. - Start Panel Splitter and click Install, Panel Splitter will automatically identify installed Photoshop versions and configure. - If your Photoshop application is already opened, close and restart it. (First time only; to load the script to PS Read More at: https://github.com/Dilshan-H/Panel-Splitter

Bring Your Old Photos to Life with RetroShine – Vibrant, Authentic, and Instantly Beautiful RetroShine transforms your digitized analog photos with a single click. Whether you’re reviving family memories or preserving your artistic legacy for future generations, RetroShine uses intelligent color enhancement and curve corrections to restore natural tones and give your photos a fresh, contemporary look. Authenticity is our mission. Unlike generative AI tools, RetroShine doesn’t...

...By default, the viewer starts in full screen mode but it can be switched to windowed mode by pressing F11. Also, you can press Enter to hide or show the toolbars, Space to start the slideshow or Escape to exit the program. To use this program as the default viewer for any image file, right click on the file and use the "Open with" option in the context menu.

A free open source Java application created to help you apply watermarks to your pictures in order to protect them from unauthorized distribution. Different font, color, size and transparency texts or images can be added as a watermark. Batch processing is also provided.

...There is also a Python API that provides a procedural as well as an object-oriented interface to these functions. A Python GUI for interacting with such datasets is also part of the project. While there are other open-source GIS, and image-processing packages available, this one is designed to be comprehensive, work on 3 major platforms, user-extensible, fast, and able to handle huge datasets. Click the Blog tab for more info.