In generative deep geometry learning, we often get many obj files remain to be rendered

Overview

a python prompt cli script for blender batch render

In deep generative geometry learning, we always get many .obj files to be rendered. Our rendered images should be will designed via various camera angle, geometry material and environments setting.

Many prior blender batch render tool 1 ,2 provides auto batch rendering for many files and a set of gui or

tui interface. However, when it comes to paper-oriented render scene, we have to open blender/maya to build a scene to render.

We find a method to solve this. Just separate a folder of obj file io with the whole render setting(render engine, camera, background image, geometry modifier, texture/materials). The input is folder name ,then scripts will find corresponding obj file (figure1 left), and then create rendered images with transparent background, various material, camera position or not.

1639580912321

Usage

  1. Open blend/render_normalization_square_hit_ground.blend by blender, and setup
  • camera
  • light
  • mesh modifier: NEED TO CHANGE PYHTON SCRIPT ACCORDING TO .blender FILE
  • render background
  • shade material(bpy.data.materials["Material"])

1639581637774

1639581702981

  1. Run

for quick start,we recommend that

blender --background blend/render_normalization_square_hit_ground.blend --python obj_render_background_blend.py -- -in {path_to_dir} --multiview
blender --background blend/render_normalization_square_hit_ground.blend --python obj_render_background_blend.py -- -in D:\your_folder -m NULL

if you want to define the render effects, you can use .blend file to solve all rendering and geometry postprocessing problems

tips for .blend config:First open render_normalization_template.blend by blender, and setup

​ 'Camera', 'Camera.001', 'Camera.002', 'Camera.003': we create the optimal view based on normalized chairs in shapenet dataset(bionic chair should also meets this points, or it will failed in functionality)

​ light,

​ mesh modifier: NEED TO CHANGE PYHTON SCRIPT ACCORDING TO .blender FILE, because if you delete geometry,the modifier will disappear

​ render background,we use "courtyard.exr" file to provide complex light field environment for better visual effect

​ shade

material(bpy.data.materials["PreparedMaterial"])

blender-batch-render-with-.blend-background-

Owner
Tian-yi Liang
提出一种小样本多模态跨域的可微“摸鱼”方法 代码已经开源到YuTangHub.org,遵循MoYu Clience。 目前研究发表在ACMoYu SIG TouchingFish,IEEE Transaction on 捕鲲等国际顶级期刊会议上20余篇。
Tian-yi Liang
Implementation of the paper "Generating Symbolic Reasoning Problems with Transformer GANs"

Generating Symbolic Reasoning Problems with Transformer GANs This is the implementation of the paper Generating Symbolic Reasoning Problems with Trans

Reactive Systems Group 1 Apr 18, 2022
Machine learning and Deep learning models, deploy on telegram (the best social media)

Semi Intelligent BOT The project involves : Classifying fake news Classifying objects such as aeroplane, automobile, bird, cat, deer, dog, frog, horse

MohammadReza Norouzi 5 Mar 06, 2022
Nb workflows - A workflow platform which allows you to run parameterized notebooks programmatically

NB Workflows Description If SQL is a lingua franca for querying data, Jupyter sh

Xavier Petit 6 Aug 18, 2022
This is a computer vision based implementation of the popular childhood game 'Hand Cricket/Odd or Even' in python

Hand Cricket Table of Content Overview Installation Game rules Project Details Future scope Overview This is a computer vision based implementation of

Abhinav R Nayak 6 Jan 12, 2022
LeViT a Vision Transformer in ConvNet's Clothing for Faster Inference

LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference This repository contains PyTorch evaluation code, training code and pretrained

Facebook Research 504 Jan 02, 2023
This repository comes with the paper "On the Robustness of Counterfactual Explanations to Adverse Perturbations"

Robust Counterfactual Explanations This repository comes with the paper "On the Robustness of Counterfactual Explanations to Adverse Perturbations". I

Marco 5 Dec 20, 2022
Replication Package for AequeVox:Automated Fariness Testing for Speech Recognition Systems

AequeVox Replication Package for AequeVox:Automated Fariness Testing for Speech Recognition Systems README under development. Python Packages Required

Sai Sathiesh 2 Aug 28, 2022
Tutorials and implementations for "Self-normalizing networks"

Self-Normalizing Networks Tutorials and implementations for "Self-normalizing networks"(SNNs) as suggested by Klambauer et al. (arXiv pre-print). Vers

Institute of Bioinformatics, Johannes Kepler University Linz 1.6k Jan 07, 2023
Differentiable simulation for system identification and visuomotor control

gradsim gradSim: Differentiable simulation for system identification and visuomotor control gradSim is a unified differentiable rendering and multiphy

105 Dec 18, 2022
A toy project using OpenCV and PyMunk

A toy project using OpenCV, PyMunk and Mediapipe the source code for my LindkedIn post It's just a toy project and I didn't write a documentation yet,

Amirabbas Asadi 82 Oct 28, 2022
Space-event-trace - Tracing service for spaceteam events

space-event-trace Tracing service for TU Wien Spaceteam events. This service is

TU Wien Space Team 2 Jan 04, 2022
Python implementation of MULTIseq barcode alignment using fuzzy string matching and GMM barcode assignment

Python implementation of MULTIseq barcode alignment using fuzzy string matching and GMM barcode assignment.

MT Schmitz 2 Feb 11, 2022
MicRank is a Learning to Rank neural channel selection framework where a DNN is trained to rank microphone channels.

MicRank: Learning to Rank Microphones for Distant Speech Recognition Application Scenario Many applications nowadays envision the presence of multiple

Samuele Cornell 20 Nov 10, 2022
🌊 Online machine learning in Python

In a nutshell River is a Python library for online machine learning. It is the result of a merger between creme and scikit-multiflow. River's ambition

OnlineML 4k Jan 02, 2023
Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds (CVPR 2022, Oral)

Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds (CVPR 2022, Oral) This is the official implementat

Yifan Zhang 259 Dec 25, 2022
PyTorch implementation of the R2Plus1D convolution based ResNet architecture described in the paper "A Closer Look at Spatiotemporal Convolutions for Action Recognition"

R2Plus1D-PyTorch PyTorch implementation of the R2Plus1D convolution based ResNet architecture described in the paper "A Closer Look at Spatiotemporal

Irhum Shafkat 342 Dec 16, 2022
auto-tuning momentum SGD optimizer

YellowFin YellowFin is an auto-tuning optimizer based on momentum SGD which requires no manual specification of learning rate and momentum. It measure

Jian Zhang 288 Nov 19, 2022
SCI-AIDE : High-fidelity Few-shot Histopathology Image Synthesis for Rare Cancer Diagnosis

SCI-AIDE : High-fidelity Few-shot Histopathology Image Synthesis for Rare Cancer Diagnosis Pretrained Models In this work, we created synthetic tissue

Emirhan Kurtuluş 1 Feb 07, 2022
MakeItTalk: Speaker-Aware Talking-Head Animation

MakeItTalk: Speaker-Aware Talking-Head Animation This is the code repository implementing the paper: MakeItTalk: Speaker-Aware Talking-Head Animation

Adobe Research 285 Jan 08, 2023
PyTorch framework, for reproducing experiments from the paper Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks

Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks. Code, based on the PyTorch framework, for reprodu

Asaf 3 Dec 27, 2022