Open Source Python Graphics Software - Page 16

This is a GNOME 2 program that shows the newest desktop backgrounds from different websites, such as art.gnome.org, deviantART or your own sites. You can see thumbnails and descriptions of the pictures and download or set them as your desktop background.

Gnome picture Of The Day background changer. Parses the description of the image and saves it to a file so that applications such as conky can read it for display.

Gnupylot is a GUI for gnuplot (the widely used multi-OS plotting utility). It's written in Python using PyQt4 libraries. With Gnupylot you can save your plots (even the datasets). It's still in Alpha stage.

This object-oriented python module converts 3D VRML models into Collada and integrates it in Google Earth (GE) through the Keyhole Markup Language (KML). It enables the visualisation of large scale aerial/satellite images in the Geo Browser.

GMUVE (Graphical Multiuser Virtual Environment) is an engine/framework that lets large numbers of users interact in a 3D world. GMUVE is a peer to peer networked OpenGL application that can be used for MMPOG or 3D chat. It is available in Python and JAVA

Graphite is a Python graphing package currently under development which uses either SPING or PIDDLE (http://piddle.sourceforge.net). It produces PS, PDF, SVG output, bitmap, TK or wXpython with optional modules.

It uses most update packages and technologies for example OpenGL 4, pyhton3.3 and etc. Project focus is on simplicity, efficiency, performance, flexibility. This project aimed for Linux environment and more specifically Gnome shell. Its most development is in Fedora 20.

This is a python package that allows one to easily create timelines in object-oriented python which later renders to HTML.

This script analyzes a GPS-tracklog to find the position where digital images were taken. It's main objectives are to embed this position into the EXIF-data and to display the images in Google Earth.

Hexerei utilizes the PIL to convert produce an image (png, jpg, gif, or bmp) consisting of color blocks which correspond to the given text. Thus, "a thousand words" become a picture!

Hey Mang! is a free, open-source project that allows you to get your manga from your favourite sites. It supports: * MangaReader * MangaFox * Batoto * E-Hentai And among its features are: * RSS Downloads (Currently for MangaFox only) * Update notification * Path change You just need to paste the first page of the chapter you want to download and that's it!

A spacemouse plugin for SideFX Houdini.

The Houdini Character Development Kit is a set of tools (scripts / HDA's) that help and make easier the task of rigging characters.

House3D is a large-scale virtual 3D simulation environment designed to support research in embodied AI, reinforcement learning, and vision-language navigation. It provides more than 45,000 richly annotated indoor scenes sourced from the SUNCG dataset, covering diverse architectural layouts such as studios, multi-floor homes, and spaces with detailed furnishings and room types. Each environment includes fully labeled 3D objects, allowing agents to perceive and interact with their surroundings through multiple sensory modalities including RGB images, depth maps, semantic segmentation masks, and top-down maps. The simulator is optimized for high-performance rendering, achieving thousands of frames per second to enable efficient large-scale training of RL agents. House3D has served as the foundation for several influential research projects such as RoomNav (for concept-based navigation) and Embodied Question Answering (EQA).

Iki is a python django application to organize, share and synchronize digital photo and other type of media. It support lot's of users, photos, else. It includes a web service, and use AJAX just a little bit.

Searches and spiders the internet for various categories of images, photographs, and art. Automatically learns what images you prefer.

Slices images of a grid with markers in the corners into component images for each cell.

A graphical interface to manipulate images. The programming language is Python and wxPython is used as GUI.

The goal of this project is to upscale and improve the quality of low-resolution images. This project contains Keras implementations of different Residual Dense Networks for Single Image Super-Resolution (ISR) as well as scripts to train these networks using content and adversarial loss components. Docker scripts and Google Colab notebooks are available to carry training and prediction. Also, we provide scripts to facilitate training on the cloud with AWS and Nvidia-docker with only a few commands. When training your own model, start with only PSNR loss (50+ epochs, depending on the dataset) and only then introduce GANS and feature loss. This can be controlled by the loss weights argument. The weights used to produce these images are available directly when creating the model object. ISR is compatible with Python 3.6 and is distributed under the Apache 2.0 license.

iwftools is a set of tools and libraries for developers of digital imaging workflow applications. It consists of generic Python components for this purpose, as well as an reference application. It is implemented without any OS specific dependencies.

Image2DocInfo has been made to quickly tag digital pictures. A GUI allows you to set attributes for an image, and then store them in XML files. Those files follow the Dublin Core naming scheme and are stored in the same directories than the pictures.

This project provides a fast distributed system for image processing, written in Python. It aim is to be used as service to PHP, Perl and Python application servers.

ImageFix is intended to be used in a production environment where professional photography solutions aren't practical. It is capable of making a customizable set of changes to improve the quality, professionalism, and consistency of the pictures.

ImageRevise is a streamlined Tkinter-based application that makes image resizing and optimization effortless. With its intuitive interface, you can easily resize images while maintaining the aspect ratio, add custom watermarks with customizable positions, and optimize images for web use by adjusting quality levels. The application also lets you view and remove EXIF metadata, ensuring privacy and reducing file size. Features like multi-threaded image processing keep the app responsive during operations and enhance the overall user experience. With advanced error handling, the application is very reliable, and dynamic labels now provide real-time updates during image processing, with informative MessageBox popups when tasks are completed. Additionally, tooltips are refined to offer detailed guidance, making the app more user-friendly.