A very impractical 3D rendering engine that runs in the python terminal.

Overview

Terminal-3D-Render

A very impractical 3D rendering engine that runs in the python terminal. do NOT try to run this program using the standard python IDE as it does not use ANSI escape codes. If your terminal of choice does not support ANSI escape codes it will also break in the same way.

ONLY ON VERSIONS BEFORE 0.1.3: Due to the time it takes to use the print command, sometimes the screen will refresh while the program is in the process of clearing and redrawing the screen. this causes the screen to flash rapidly and the effect worsens the higher your refresh rate is. At 60Hz it isn't that bad, but I would still be careful running this if you suffer from any conditions that cause light sensitivity.

NOTES: if you want to use your own models with this program you must export them without normals but with UVs included. if you're using blender, when exporting make sure to click on the "Geometry" tab in the exporting menue, check the "Triangulate faces" option, and un-check the "Write normals" option. It should now load correctly.

Thanks for checking this out!

-E. Parker

You might also like...
UnsupervisedR&R: Unsupervised Pointcloud Registration via Differentiable Rendering

UnsupervisedR&R: Unsupervised Pointcloud Registration via Differentiable Rendering This repository holds all the code and data for our recent work on

Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)
Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)

Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021) An efficient PyTorch library for Point Cloud Completion.

Rendering Point Clouds with Compute Shaders
Rendering Point Clouds with Compute Shaders

Compute Shader Based Point Cloud Rendering This repository contains the source code to our techreport: Rendering Point Clouds with Compute Shaders and

Official repo for AutoInt: Automatic Integration for Fast Neural Volume Rendering in CVPR 2021
Official repo for AutoInt: Automatic Integration for Fast Neural Volume Rendering in CVPR 2021

AutoInt: Automatic Integration for Fast Neural Volume Rendering CVPR 2021 Project Page | Video | Paper PyTorch implementation of automatic integration

Code for PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Relighting and Material Editing

PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Relighting and Material Editing CVPR 2021. Project page: https://kai-46.github.io/

Generative Query Network (GQN) in PyTorch as described in
Generative Query Network (GQN) in PyTorch as described in "Neural Scene Representation and Rendering"

Update 2019/06/24: A model trained on 10% of the Shepard-Metzler dataset has been added, the following notebook explains the main features of this mod

This repository contains the source code for the paper
This repository contains the source code for the paper "DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks",

DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks Project Page | Video | Presentation | Paper | Data L

[CVPR2021] De-rendering the World's Revolutionary Artefacts

De-rendering the World's Revolutionary Artefacts Project Page | Video | Paper In CVPR 2021 Shangzhe Wu1,4, Ameesh Makadia4, Jiajun Wu2, Noah Snavely4,

The source code of the ICCV2021 paper
The source code of the ICCV2021 paper "PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering"

The source code of the ICCV2021 paper "PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering"

Releases(v0.1.5)
  • v0.1.5(Mar 31, 2022)

    Minor Update:

    Added camera movement - WASD to move, IJKL to look. Precalculated Divisions to speed up rendering.

    some other minor tweaks I've forgotten about.

    Source code(tar.gz)
    Source code(zip)
  • v0.1.4.3(Mar 29, 2022)

    Minor improvements,

    Removed os.system(CLS) call, replaced with proper ANCI code. Added support for the greyscale portion of 256 colour mode.

    I forgot to add a licence agreement in the last couple versions, that one's on me.

    Minor tweaks and fixes.

    Source code(tar.gz)
    Source code(zip)
  • v0.1.3(Mar 28, 2022)

    Some cool updates!

    Sorry for the version skip, there were a couple of versions I didn't feel were good enough to release so close to the last patch. I'd much rather have a good and working version of a piece of software rather than a bunch of dysfunctional versions that have continuity.

    • 256 colour mode now working using ANSI escape codes.
    • Flickering completely fixed, switched from print statements to ANSI escape sequence (Thanks u/SamyBencherif for suggesting this!)
    • Minor UI fixes
    Source code(tar.gz)
    Source code(zip)
  • v0.1.0(Mar 27, 2022)

  • v0.0.9(Mar 27, 2022)

Utilities to bridge Canvas-generated course rosters with GitLab's API.

gitlab-canvas-utils A collection of scripts originally written for CSE 13S. Oversees everything from GitLab course group creation, student repository

Eugene Chou 5 Jun 08, 2022
details on efforts to dump the Watermelon Games Paprium cart

Reminder, if you like these repos, fork them so they don't disappear https://github.com/ArcadeHustle/WatermelonPapriumDump/fork Big thanks to Fonzie f

Hustle Arcade 29 Dec 11, 2022
This repository contains the code to replicate the analysis from the paper "Moving On - Investigating Inventors' Ethnic Origins Using Supervised Learning"

Replication Code for 'Moving On' - Investigating Inventors' Ethnic Origins Using Supervised Learning This repository contains the code to replicate th

Matthias Niggli 0 Jan 04, 2022
Group project for MFIN7036. Our goal is to predict firm profitability with text-based competition measures.

NLP_0-project Group project for MFIN7036. Our goal is to predict firm profitability with text-based competition measures1. We are a "democratic" and c

3 Mar 16, 2022
Collection of generative models in Tensorflow

tensorflow-generative-model-collections Tensorflow implementation of various GANs and VAEs. Related Repositories Pytorch version Pytorch version of th

3.8k Dec 30, 2022
Neural Caption Generator with Attention

Neural Caption Generator with Attention Tensorflow implementation of "Show

Taeksoo Kim 510 Nov 30, 2022
FLVIS: Feedback Loop Based Visual Initial SLAM

FLVIS Feedback Loop Based Visual Inertial SLAM 1-Video EuRoC DataSet MH_05 Handheld Test in Lab FlVIS on UAV Platform 2-Relevent Publication: Under Re

UAV Lab - HKPolyU 182 Dec 04, 2022
Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.

Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.

keven 198 Dec 20, 2022
A GPT, made only of MLPs, in Jax

MLP GPT - Jax (wip) A GPT, made only of MLPs, in Jax. The specific MLP to be used are gMLPs with the Spatial Gating Units. Working Pytorch implementat

Phil Wang 53 Sep 27, 2022
⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.

Optimized Einsum Optimized Einsum: A tensor contraction order optimizer Optimized einsum can significantly reduce the overall execution time of einsum

Daniel Smith 653 Dec 30, 2022
Optimizing synthesizer parameters using gradient approximation

Optimizing synthesizer parameters using gradient approximation NASH 2021 Hackathon! These are some experiments I conducted during NASH 2021, the Neura

Jordie Shier 10 Feb 10, 2022
😮The official implementation of "CoNeRF: Controllable Neural Radiance Fields" 😮

CoNeRF: Controllable Neural Radiance Fields This is the official implementation for "CoNeRF: Controllable Neural Radiance Fields" Project Page Paper V

Kacper Kania 61 Dec 24, 2022
Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

Official repository of OFA. Paper: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

OFA Sys 1.4k Jan 08, 2023
TAug :: Time Series Data Augmentation using Deep Generative Models

TAug :: Time Series Data Augmentation using Deep Generative Models Note!!! The package is under development so be careful for using in production! Fea

35 Dec 06, 2022
A CROSS-MODAL FUSION NETWORK BASED ON SELF-ATTENTION AND RESIDUAL STRUCTURE FOR MULTIMODAL EMOTION RECOGNITION

CFN-SR A CROSS-MODAL FUSION NETWORK BASED ON SELF-ATTENTION AND RESIDUAL STRUCTURE FOR MULTIMODAL EMOTION RECOGNITION The audio-video based multimodal

skeleton 15 Sep 26, 2022
Codebase to experiment with a hybrid Transformer that combines conditional sequence generation with regression

Regression Transformer Codebase to experiment with a hybrid Transformer that combines conditional sequence generation with regression . Development se

International Business Machines 27 Jan 05, 2023
Sequence to Sequence (seq2seq) Recurrent Neural Network (RNN) for Time Series Forecasting

Sequence to Sequence (seq2seq) Recurrent Neural Network (RNN) for Time Series Forecasting Note: You can find here the accompanying seq2seq RNN forecas

Guillaume Chevalier 1k Dec 25, 2022
Official implementation of TMANet.

Temporal Memory Attention for Video Semantic Segmentation, arxiv Introduction We propose a Temporal Memory Attention Network (TMANet) to adaptively in

wanghao 94 Dec 02, 2022
A Decentralized Omnidirectional Visual-Inertial-UWB State Estimation System for Aerial Swar.

Omni-swarm A Decentralized Omnidirectional Visual-Inertial-UWB State Estimation System for Aerial Swarm Introduction Omni-swarm is a decentralized omn

HKUST Aerial Robotics Group 99 Dec 23, 2022
LIAO Shuiying 6 Dec 01, 2022