Open Source Python Graphics Software - Page 26

A utility to generate mandalas in SVG format.

Scale images in JPG, PNG or GIF format and generate bbCode. It's purpose is to use your webspace as storage for your images to publish them in forums quick and easy.

The Scientific Visualization Artist Tools (SVAT) include converters from the Visualization Toolkit (VTK) to RenderMan Interface Bytestream (RIB) (ASCII and binary files supported), Blender to RenderMan, compilable RenderMan shaders and other utilities.

Sculpt Mesh is a 3D tool for sculpting mesh as if it were clay, It provides some of the basic functionality of ZBrush (TM), giving unprecedented artistic freedom, allowing artists to rapidly achieve quality and interesting results with free tools.

SeVeraGe is a project aimed at leveraging SVG's capabilities in the real world! This is the home of iSVG, multi-language SVG DOM implementations and a few converters.

Self-Organizing Photo Album is an application that automatically organizes your collection of pictures primarily based on the location where the pictures were taken, at what event, time etc.

ShadeGE is an example implementation of features present in a modern 3D game engine. Games can be written using scripts in Python or Lua, or through the C++ API directly.

The purpose of this projects is to define, design and code a models-sharing system for the RepRap replication machines, so that end-users and designers can easily find, create, modify or build objects models.

Shepard is a asset / project manager made spacifically for intergration in to post-production / animation pipelines. Includeing File playback/convertion and creation of clips for upload to ftp locations.

A collection of tools for generating audio and visual (PNG/HTML/WAVE) for use in web sites including CAPTCHA challenges and PNG image creation tools with Javascript mouse tracking support.

Slimn is a Python module (based on FLTK) for painting simple graphics to a window and responding to user input.

Slut is a programming framework for generative, synthetic, interactive, network-enabled graphics. THIS IS AN OLD PROJECT. But since you are interested in it you should check out the SceneExpression project: http://labs.nortd.com/sx/

SPG is a photo gallery maker. It is intended to be used when a large set of pictures needs to be published easily on the Internet. SPG is meant to be very easy to use and require very little amount of setup. The publication of pictures is done simply by

Graphical pre-print pdf manipulation tool. Written in PyGtk it use Cairo and poppler to render and generate PDF files. This tool is similar to FinePrint.

Snap Dragon is a picture sorting program. Pictures are displayed in the program and when the number keys are pressed it saves that picture to a folder corresponding to that number key.

Snappy is a fast, easy to use, cross platform screenshot/screencast application currently being written in Python. It will integrate with many services, allowing the user to quickly upload to YouTube/ImageShack/FTP/etc.

SoftArt has been moved to google code server. Check http://code.google.com/p/softart/ please.

Everyday Software for the Researcher of Restricted Means: This project is intended to offer scientists and students with small budgets advanced versions of aqua-built desktop-editing, graphics and statistical applications for MacOSX.

Copies pictures from a source folder to a destination folder.The pictures are organized into folders within destination folder according to the date they were taken.So for example you may end up with pictures in a set of folders such as 2009/10/24 and 2009/10/27 within your destination folder. Useful if you have a lot of pictures in many different types of folders and you want to organize them neatly by the date they were taken.

Spectral Python (SPy) is a python package for reading, viewing, manipulating, and classifying hyperspectral image (HSI) data. SPy includes functions for clustering, dimensionality reduction, supervised classification, and more.

3D shape descriptor which explicitly captures the local geometry and encodes it using an efficient representation. Our method consists of multiple evolving fronts which are realized by a set of growing spheres on the surface.

Spineless is a generic cross-platform 3D game engine implemented in Python. Focus is on flexibility, clean design and ease of use, not pure speed or bleeding edge graphics.

Sport Tafeln werden mit Daten aus dem Internet erstellt. Die Software ist für Fernsehsender, Zeitungen u.ä. gedacht um Sport Tafeln generieren zu können. Ein Ordner enthält die Tafeln. Sobald eine Tafel gelöscht wird, wird diese sofort neu gener

This project is an extension for the Stable Diffusion Web UI that removes backgrounds from images directly inside the interface. It wraps popular background-removal models so creators can take a generated or uploaded image and isolate the subject with a single click. The workflow is designed to be non-destructive: you can preview, tweak thresholds, and export either a transparent PNG or a masked layer for further editing. Because it runs within the Web UI, you can chain it with other operations such as upscaling, inpainting, or ControlNet to refine edges and composites. Batch processing helps clear backgrounds from whole sets of renders, which is useful for asset pipelines, catalogs, and thumbnails. The extension aims for convenience and predictable results, sparing users from round-tripping through separate editors just to knock out a background.

Run the Stable Diffusion releases in a Docker container with txt2img, img2img, depth2img, pix2pix, upscale4x, and inpaint. Run the Stable Diffusion releases on Huggingface in a GPU-accelerated Docker container. By default, the pipeline uses the full model and weights which requires a CUDA capable GPU with 8GB+ of VRAM. It should take a few seconds to create one image. On less powerful GPUs you may need to modify some of the options; see the Examples section for more details. If you lack a suitable GPU you can set the options --device cpu and --onnx instead. Since it uses the model, you will need to create a user access token in your Huggingface account. Save the user access token in a file called token.txt and make sure it is available when building the container. Create an image from an existing image and a text prompt. Modify an existing image with its depth map and a text prompt.