This repository consists of Blender python scripts and corresponding assets to generate variants of the CANDLE dataset

Overview

candle-simulator

arXiv AAAI Get the dataset GitHub

This repository consists of Blender python scripts and corresponding assets to generate variants of the IITH-CANDLE dataset.

The rendered version of the dataset is provided at the IITH-CANDLE repository.

Environment Setup

Download and install Blender. Make sure that it's accessible from the command line.

Note: Tests and rendering were performed on version 2.90. Unless future versions include breaking changes, functionality should be largely unaffected. We will be happy to receive a PR / issue if any incompatibilities arise.

Running the script

The main script candle_simulator.py runs in an instance of blender invoked by the command:

# starts blender in the background, without audio and runs the python script
$ blender -b -noaudio -P candle_simulator.py

Sample images from IITH-CANDLE

IITH-CANDLE grid The rendered version of the dataset is provided at the IITH-CANDLE repository.

Extending IITH-CANDLE

Each factor of variation can be independently modified or extended by simply editing or adding .blend files under ./data/ consisting of just that factor. The script then combines them independently while generating the dataset.

Steps to extend

  1. Add in or modify a factor, say we add ./objects/monkey.blend. Ensure that the filename and the property name of the factor in Blender match.
  2. Update properties: object_type to include monkey.
  3. Rendering a version now will augment IITH-CANDLE with all variants of monkey.

Conventions followed

Factor Conventions
objects We recommend the objects fit in a 1x1x1m space at the origin. This helps with uniform translation and scaling. Also update properties: object_type.
scenes They are node-based world textures pointing to a HDRI image. We recommend just copying an existing one over and modifying the image to point to the required one. Also update scenes and bounds in the script with the XY coordinates where objects are allowed to be placed.
size Just modify properties: size in the script. The objects will be scaled at runtime.
rotation Just modify properties: rotation in the script. The objects will be rotated at runtime.
lights To modify the type of light, edit lights.blend. If only the positions have to be changed, just edit lights and light_position correspondingly.
color (materials) Vanilla Blender materials. Just modify properties: color as well.

How to cite our work

If you use IITH-CANDLE, please consider citing:

@article{candle, 
title={On Causally Disentangled Representations},  
journal={Proceedings of the AAAI Conference on Artificial Intelligence}, 
author={Abbavaram Gowtham Reddy, Benin Godfrey L, and Vineeth N Balasubramanian}, 
year={2022},
month={February}
}

License

This work is licensed under the MIT License and the dataset itself is licensed under the Creative Commons Attribution 4.0 International License.

Code to reproduce the results for Statistically Robust Neural Network Classification, published in UAI 2021

Code to reproduce the results for Statistically Robust Neural Network Classification, published in UAI 2021

1 Jun 02, 2022
[ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization

Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization Kaidi Cao, Yining Chen, Junwei Lu, Nikos Arechiga, Adrien Gaidon, Tengyu Ma

Kaidi Cao 29 Oct 20, 2022
Azua - build AI algorithms to aid efficient decision-making with minimum data requirements.

Project Azua 0. Overview Many modern AI algorithms are known to be data-hungry, whereas human decision-making is much more efficient. The human can re

Microsoft 197 Jan 06, 2023
Yoloxkeypointsegment - An anchor-free version of YOLO, with a simpler design but better performance

Introduction 关键点版本:已完成 全景分割版本:已完成 实例分割版本:已完成 YOLOX is an anchor-free version of

23 Oct 20, 2022
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Score-Based Generative Modeling through Stochastic Differential Equations This repo contains a PyTorch implementation for the paper Score-Based Genera

Yang Song 757 Jan 04, 2023
Pytorch code for "Text-Independent Speaker Verification Using 3D Convolutional Neural Networks".

:speaker: Deep Learning & 3D Convolutional Neural Networks for Speaker Verification

Amirsina Torfi 114 Dec 18, 2022
patchmatch和patchmatchstereo算法的python实现

patchmatch patchmatch以及patchmatchstereo算法的python版实现 patchmatch参考 github patchmatchstereo参考李迎松博士的c++版代码 由于patchmatchstereo没有做任何优化,并且是python的代码,主要是方便解析算

Sanders Bao 11 Dec 02, 2022
A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

DensePose: Dense Human Pose Estimation In The Wild Rıza Alp Güler, Natalia Neverova, Iasonas Kokkinos [densepose.org] [arXiv] [BibTeX] Dense human pos

Meta Research 6.4k Jan 01, 2023
[CVPR 2021] Monocular depth estimation using wavelets for efficiency

Single Image Depth Prediction with Wavelet Decomposition Michaël Ramamonjisoa, Michael Firman, Jamie Watson, Vincent Lepetit and Daniyar Turmukhambeto

Niantic Labs 205 Jan 02, 2023
AI Face Mesh: This is a simple face mesh detection program based on Artificial intelligence.

AI Face Mesh: This is a simple face mesh detection program based on Artificial Intelligence which made with Python. It's able to detect 468 different

Md. Rakibul Islam 1 Jan 13, 2022
A PyTorch Implementation of SphereFace.

SphereFace A PyTorch Implementation of SphereFace. The code can be trained on CASIA-Webface and the best accuracy on LFW is 99.22%. SphereFace: Deep H

carwin 685 Dec 09, 2022
Repository aimed at compiling code, papers, demos etc.. related to my PhD on 3D vision and machine learning for fruit detection and shape estimation at the university of Lincoln

PhD_3DPerception Repository aimed at compiling code, papers, demos etc.. related to my PhD on 3D vision and machine learning for fruit detection and s

lelouedec 2 Oct 06, 2022
Narya API allows you track soccer player from camera inputs, and evaluate them with an Expected Discounted Goal (EDG) Agent

Narya The Narya API allows you track soccer player from camera inputs, and evaluate them with an Expected Discounted Goal (EDG) Agent. This repository

Paul Garnier 121 Dec 30, 2022
Source code for ZePHyR: Zero-shot Pose Hypothesis Rating @ ICRA 2021

ZePHyR: Zero-shot Pose Hypothesis Rating ZePHyR is a zero-shot 6D object pose estimation pipeline. The core is a learned scoring function that compare

R-Pad - Robots Perceiving and Doing 18 Aug 22, 2022
Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch

disclaimer: this code is modified from pytorch-tutorial Image classification with synthetic gradient in Pytorch I implement the Decoupled Neural Inter

Andrew 114 Dec 22, 2022
Official implementation of paper "Query2Label: A Simple Transformer Way to Multi-Label Classification".

Introdunction This is the official implementation of the paper "Query2Label: A Simple Transformer Way to Multi-Label Classification". Abstract This pa

Shilong Liu 274 Dec 28, 2022
This is a TensorFlow implementation for C2-Rec

This is a TensorFlow implementation for C2-Rec We refer to the repo SASRec. Requirements requirement.txt Datasets This repo includes Amazon Beauty dat

7 Nov 14, 2022
Source code of our work: "Benchmarking Deep Models for Salient Object Detection"

SALOD Source code of our work: "Benchmarking Deep Models for Salient Object Detection". In this works, we propose a new benchmark for SALient Object D

22 Dec 30, 2022