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
A pytorch implementation of faster RCNN detection framework (Use detectron2, it's a masterpiece)

Notice(2019.11.2) This repo was built back two years ago when there were no pytorch detection implementation that can achieve reasonable performance.

Ruotian(RT) Luo 1.8k Jan 01, 2023
Code for "Discovering Non-monotonic Autoregressive Orderings with Variational Inference" (paper and code updated from ICLR 2021)

Discovering Non-monotonic Autoregressive Orderings with Variational Inference Description This package contains the source code implementation of the

Xuanlin (Simon) Li 10 Dec 29, 2022
This is the dataset and code release of the OpenRooms Dataset.

This is the dataset and code release of the OpenRooms Dataset.

Visual Intelligence Lab of UCSD 95 Jan 08, 2023
Deep Learning Visuals contains 215 unique images divided in 23 categories

Deep Learning Visuals contains 215 unique images divided in 23 categories (some images may appear in more than one category). All the images were originally published in my book "Deep Learning with P

Daniel Voigt Godoy 1.3k Dec 28, 2022
Rewrite ultralytics/yolov5 v6.0 opencv inference code based on numpy, no need to rely on pytorch

Rewrite ultralytics/yolov5 v6.0 opencv inference code based on numpy, no need to rely on pytorch; pre-processing and post-processing using numpy instead of pytroch.

炼丹去了 21 Dec 12, 2022
GEA - Code for Guided Evolution for Neural Architecture Search

Efficient Guided Evolution for Neural Architecture Search Usage Create a conda e

6 Jan 03, 2023
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks

DECAF (DEbiasing CAusal Fairness) Code Author: Trent Kyono This repository contains the code used for the "DECAF: Generating Fair Synthetic Data Using

van_der_Schaar \LAB 7 Nov 24, 2022
🏅 The Most Comprehensive List of Kaggle Solutions and Ideas 🏅

🏅 Collection of Kaggle Solutions and Ideas 🏅

Farid Rashidi 2.3k Jan 08, 2023
LBBA-boosted WSOD

LBBA-boosted WSOD Summary Our code is based on ruotianluo/pytorch-faster-rcnn and WSCDN Sincerely thanks for your resources. Newer version of our code

Martin Dong 20 Sep 19, 2022
TorchDistiller - a collection of the open source pytorch code for knowledge distillation, especially for the perception tasks, including semantic segmentation, depth estimation, object detection and instance segmentation.

This project is a collection of the open source pytorch code for knowledge distillation, especially for the perception tasks, including semantic segmentation, depth estimation, object detection and i

yifan liu 147 Dec 03, 2022
Keras community contributions

keras-contrib : Keras community contributions Keras-contrib is deprecated. Use TensorFlow Addons. The future of Keras-contrib: We're migrating to tens

Keras 1.6k Dec 21, 2022
[CVPR 2022 Oral] Crafting Better Contrastive Views for Siamese Representation Learning

Crafting Better Contrastive Views for Siamese Representation Learning (CVPR 2022 Oral) 2022-03-29: The paper was selected as a CVPR 2022 Oral paper! 2

249 Dec 28, 2022
An Efficient Training Approach for Very Large Scale Face Recognition or F²C for simplicity.

Fast Face Classification (F²C) This is the code of our paper An Efficient Training Approach for Very Large Scale Face Recognition or F²C for simplicit

33 Jun 27, 2021
Run object detection model on the Raspberry Pi

Using TensorFlow Lite with Python is great for embedded devices based on Linux, such as Raspberry Pi.

Dimitri Yanovsky 6 Oct 08, 2022
Prototypical Networks for Few shot Learning in PyTorch

Prototypical Networks for Few shot Learning in PyTorch Simple alternative Implementation of Prototypical Networks for Few Shot Learning (paper, code)

Orobix 835 Jan 08, 2023
PyTorch implementation of MLP-Mixer

PyTorch implementation of MLP-Mixer MLP-Mixer: an all-MLP architecture composed of alternate token-mixing and channel-mixing operations. The token-mix

Duo Li 33 Nov 27, 2022
[CVPR 2021] Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion

[CVPR 2021] Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion

Rex Cheng 364 Jan 03, 2023
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

face.evoLVe: High-Performance Face Recognition Library based on PaddlePaddle & PyTorch Evolve to be more comprehensive, effective and efficient for fa

Zhao Jian 3.1k Jan 04, 2023
Learning Representational Invariances for Data-Efficient Action Recognition

Learning Representational Invariances for Data-Efficient Action Recognition Official PyTorch implementation for Learning Representational Invariances

Virginia Tech Vision and Learning Lab 27 Nov 22, 2022
A note taker for NVDA. Allows the user to create, edit, view, manage and export notes to different formats.

Quick Notetaker add-on for NVDA The Quick Notetaker add-on is a wonderful tool which allows writing notes quickly and easily anytime and from any app

5 Dec 06, 2022