Rendering Libraries

11 Components & Libraries

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Rendering Libraries

Mapnik is an open source toolkit for developing mapping applications

Mapnik is an open source toolkit for developing mapping applications. At the core is a C++ shared library providing algorithms and patterns for spatial data access and visualization. Mapnik is basica…

A procedural Blender pipeline for photorealistic training image generation

A procedural Blender pipeline for photorealistic rendering. The simplest way to install blenderproc is via pip: Alternatively, if you need to make changes to blenderproc or you want to make use of th…

A modern open source rendering engine for animation and visual effects

appleseed is an open source, physically-based global illumination rendering engine primarily designed for animation and visual effects. appleseed is actively developed by a small, international team …

Blender Python scripts for rendering images directly from command-line interface

A set of Blender Python scripts for generating scenes and rendering images directly from command-line interface.

A python Tkinter widget to display tile based maps like OpenStreetMap or Google Satellite Images.

TkinterMapView is a tile based interactive map renderer widget for the python Tkinter library. By default, it displays the OpenStreetMap map, but you can change the tile server to whatever you like, …

python script to convert .obj files into Minecraft java edition models, rendering them in game with a core shader.

i cannot guarantee modded compatibility. core shaders are a vanilla resourcepack feature, if a mod breaks this vanilla feature its likely a decision by the mod creator. make sure Python and Pillow is…

CGL (C Game Library) is a multipurpose library mainly for recreational coding / demo scenes / prototyping / small games / experimentation.

cgl-rs cgl-py Windowing library (Optional) Utility functionalities Noise API Triangulation Artificial Intelligence Graph Algorithms Data structures Logger Cross Platform Networking (Optional) Cross P…

Reconstruction of the original paper on neural style transfer (Gatys et al.). I've additionally included reconstruction scripts which allow you to reconstruct only the content or the style of the image - for better understanding of how NST works.

The algorithm transfers style from one input image (the style image) onto another input image (the content image) using CNN nets (usually VGG-16/19) and gives a composite, stylized image out which ke…

Read SVG files and convert them to other formats.

pytorch-naive-video-neural-style-transfer

Create naive (no temporal loss) NST for videos with person segmentation. Just place your videos in data/, run and you get your stylized and segmented videos.

The first video of the series was created exactly using this method (I also used ReCoNet for 1 part of the video). On the left you can see typical NST output and the 2 other images on the right were …

Synthesize image datasets of documents in natural scenes with Python+Blender3D

Sim2Real Docs is a python framework for synthesizing datasets and performing domain randomization of documents in natural scenes. It enables programmatic 3D rendering of documents using Blender, an o…

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