Realistic lighting in ursina!

Last update: Jul 07, 2022

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Ursina Lighting

Realistic lighting in ursina!

If you want to have realistic lighting in ursina, import the UrsinaLighting.py in your project and use the LitObject class instead of the Enity class. If you need help, ask me (https://discord.gg/JpBPbcKJ) or look in UrsinaLighting.py where you can find the source code and an example.

You can use my code in your projects and make private changes to it, but you are not allowed without permission to re-distribute my code to the internet and taking credit for it.

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Realistic lighting in ursina!

Related tags

Overview

Ursina Lighting

Owner

Python-experiments - A Repository which contains python scripts to automate things and make your life easier with python

Generalized Decision Transformer for Offline Hindsight Information Matching

Baseline for the Spoofing-aware Speaker Verification Challenge 2022

[ICCV'21] Official implementation for the paper Social NCE: Contrastive Learning of Socially-aware Motion Representations

Identify the emotion of multiple speakers in an Audio Segment

A system for quickly generating training data with weak supervision

Code for ACM MM 2020 paper "NOH-NMS: Improving Pedestrian Detection by Nearby Objects Hallucination"

Cleaned up code for DSTC 10: SIMMC 2.0 track: subtask 2: multimodal coreference resolution

Inference pipeline for our participation in the FeTA challenge 2021.

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

LERP : Label-dependent and event-guided interpretable disease risk prediction using EHRs

Official implementation of "Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets" (CVPR2021)

Distributional Sliced-Wasserstein distance code

Deeprl - Standard DQN and dueling network for simple games

ReGAN: Sequence GAN using RE[INFORCE|LAX|BAR] based PG estimators

Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018

Scripts for training an AI to play the endless runner Subway Surfers using a supervised machine learning approach by imitation and a convolutional neural network (CNN) for image classification

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