Node Editor Plug for Blender

Overview

NodeEditor

Blender的程序化建模插件

Show

1

2

Current

  • 基本框架:自定义的tree-node-socket、tree中的node与socket采用字典查询、基于socket入度的拓扑排序
  • 数据传递和处理依靠Tree中的字典,socket传递字典key

TODO

  • 增加更多的节点

  • 建模系统、颜色系统

  • socket与节点内置值的联动

  • socket的节点内值缺省

  • 更好的UI和交互

  • 节点的UI-update和process-Update

  • 节点执行后数据结果的自动刷新问题

  • 将入度判断从socket数量的prepare_num改为input-link的num+必须连接的函数判断,link_num为0时执行,会使得没有任何连接的节点执行,prepare函数能否保证不会出问题?检查(已更新,待检查)

  • 封装init文件自动加载路径下模块(已完成)

  • 让process返回True/False,确定节点是否完成计算,以便决定是否执行transfer

  • 隐式mesh-object系列虽然能够独立的产生新obj,但是build之后的所有操作本质还是堆栈式的,需要更改,一个方法是每个节点都产生独立的obj,比如每个节点先进行一个new object(input.name+self.name),但是这种方式显然不是最佳,并且会产生很多冗余,需要思考更好的方式

  • 简单节点的速度比原版本低了一些,但大数据处理速度快了接近一倍。现在传递15万顶点到另一个物体需要1s左右。当然相比原生操作还是慢

Large Change

  • 原来socket父类内置有被继承的socket_value,但是由于子类数据类型的变化,父类中的socket_value已经删除,所有的子类必须自己定义socket_value才能满足transfer 传递socket_value的需求(已弃用)
  • 原来使用原生list类型用于存储bmesh的点边面数据,但是存在覆盖的问题无法解决,采用转换StringProperty代替(已弃用)
  • 底层改变:采用Tree中的字典按照node-name与socket-name储存所有需要处理的值,现在每个节点都需要一个指向tree的引用。但是省去了原socket相关的时空处理。

Develop Need

fake-bpy-module
Blender Development

Reference

Blender/3.0/scripts/templates_py
https://gitlab.com/AquaticNightmare/rigging_nodes
https://github.com/aachman98/Sorcar
https://github.com/nortikin/sverchok

notice

建立object需要mesh,删除object时不会删除mesh,需要清理未使用数据clean

Owner
Cuimi
风雪渐披肩,入夜阑火蜷。
Cuimi
CNN Based Meta-Learning for Noisy Image Classification and Template Matching

CNN Based Meta-Learning for Noisy Image Classification and Template Matching Introduction This master thesis used a few-shot meta learning approach to

Kumar Manas 2 Dec 09, 2021
Pytorch implementation for RelTransformer

RelTransformer Our Architecture This is a Pytorch implementation for RelTransformer The implementation for Evaluating on VG200 can be found here Requi

Vision CAIR Research Group, KAUST 21 Nov 22, 2022
李云龙二次元风格化!打滚卖萌,使用了animeGANv2进行了视频的风格迁移

李云龙二次元风格化!一键star、fork,你也可以生成这样的团长! 打滚卖萌求star求fork! 0.效果展示 视频效果前往B站观看效果最佳:李云龙二次元风格化: github开源repo:李云龙二次元风格化 百度AIstudio开源地址,一键fork即可运行: 李云龙二次元风格化!一键fork

oukohou 44 Dec 04, 2022
Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration

CoGAIL Table of Content Overview Installation Dataset Training Evaluation Trained Checkpoints Acknowledgement Citations License Overview This reposito

Jeremy Wang 29 Dec 24, 2022
DA2Lite is an automated model compression toolkit for PyTorch.

DA2Lite (Deep Architecture to Lite) is a toolkit to compress and accelerate deep network models. ⭐ Star us on GitHub — it helps!! Frameworks & Librari

Sinhan Kang 7 Mar 22, 2022
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

About PyTorch 1.2.0 Now the master branch supports PyTorch 1.2.0 by default. Due to the serious version problem (especially torch.utils.data.dataloade

Sanghyun Son 2.1k Jan 01, 2023
PySOT - SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

PySOT is a software system designed by SenseTime Video Intelligence Research team. It implements state-of-the-art single object tracking algorit

STVIR 4.1k Dec 29, 2022
Hashformers is a framework for hashtag segmentation with transformers.

Hashtag segmentation is the task of automatically inserting the missing spaces between the words in a hashtag. Hashformers applies Transformer models

Ruan Chaves 41 Nov 09, 2022
Politecnico of Turin Thesis: "Implementation and Evaluation of an Educational Chatbot based on NLP Techniques"

THESIS_CAIRONE_FIORENTINO Politecnico of Turin Thesis: "Implementation and Evaluation of an Educational Chatbot based on NLP Techniques" GENERATE TOKE

cairone_fiorentino97 1 Dec 10, 2021
Pytorch implementation of Depth-conditioned Dynamic Message Propagation forMonocular 3D Object Detection

DDMP-3D Pytorch implementation of Depth-conditioned Dynamic Message Propagation forMonocular 3D Object Detection, a paper on CVPR2021. Instroduction T

Li Wang 32 Nov 09, 2022
PyContinual (An Easy and Extendible Framework for Continual Learning)

PyContinual (An Easy and Extendible Framework for Continual Learning) Easy to Use You can sumply change the baseline, backbone and task, and then read

176 Jan 05, 2023
A Keras implementation of YOLOv3 (Tensorflow backend)

keras-yolo3 Introduction A Keras implementation of YOLOv3 (Tensorflow backend) inspired by allanzelener/YAD2K. Quick Start Download YOLOv3 weights fro

7.1k Jan 03, 2023
The fastai deep learning library

Welcome to fastai fastai simplifies training fast and accurate neural nets using modern best practices Important: This documentation covers fastai v2,

fast.ai 23.2k Jan 07, 2023
Physical Anomalous Trajectory or Motion (PHANTOM) Dataset

Physical Anomalous Trajectory or Motion (PHANTOM) Dataset Description This dataset contains the six different classes as described in our paper[]. The

0 Dec 16, 2021
Implementation for Panoptic-PolarNet (CVPR 2021)

Panoptic-PolarNet This is the official implementation of Panoptic-PolarNet. [ArXiv paper] Introduction Panoptic-PolarNet is a fast and robust LiDAR po

Zixiang Zhou 126 Jan 01, 2023
Source code for "Pack Together: Entity and Relation Extraction with Levitated Marker"

PL-Marker Source code for Pack Together: Entity and Relation Extraction with Levitated Marker. Quick links Overview Setup Install Dependencies Data Pr

THUNLP 173 Dec 30, 2022
Implementation for the paper SMPLicit: Topology-aware Generative Model for Clothed People (CVPR 2021)

SMPLicit: Topology-aware Generative Model for Clothed People [Project] [arXiv] License Software Copyright License for non-commercial scientific resear

Enric Corona 225 Dec 13, 2022
Evaluation framework for testing segmentation networks in PyTorch

Evaluation framework for testing segmentation networks in PyTorch. What segmentation network to choose for next Kaggle competition? This benchmark knows the answer!

Eugene Khvedchenya 37 Apr 27, 2022
PixelPyramids: Exact Inference Models from Lossless Image Pyramids (ICCV 2021)

PixelPyramids: Exact Inference Models from Lossless Image Pyramids This repository contains the PyTorch implementation of the paper PixelPyramids: Exa

Visual Inference Lab @TU Darmstadt 8 Dec 11, 2022
Code for our CVPR 2021 Paper "Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes".

Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes (CVPR 2021) Project page | Paper | Colab | Colab for Drawing App Rethinking Style

CompVis Heidelberg 153 Jan 04, 2023