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
Based on the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral

Geometry-aware Instance-reweighted Adversarial Training This repository provides codes for Geometry-aware Instance-reweighted Adversarial Training (ht

Jingfeng 47 Dec 22, 2022
[MedIA2021]MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning

MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning [MedIA or Arxiv] and [Demo] This repository pr

Healthcare Intelligence Laboratory 92 Dec 08, 2022
Weakly supervised medical named entity classification

Trove Trove is a research framework for building weakly supervised (bio)medical named entity recognition (NER) and other entity attribute classifiers

60 Nov 18, 2022
以孤立语假设和宽度优先搜索为基础,构建了一种多通道堆叠注意力Transformer结构的斗地主ai

ddz-ai 介绍 斗地主是一种扑克游戏。游戏最少由3个玩家进行,用一副54张牌(连鬼牌),其中一方为地主,其余两家为另一方,双方对战,先出完牌的一方获胜。 ddz-ai以孤立语假设和宽度优先搜索为基础,构建了一种多通道堆叠注意力Transformer结构的系统,使其经过大量训练后,能在实际游戏中获

freefuiiismyname 88 May 15, 2022
abess: Fast Best-Subset Selection in Python and R

abess: Fast Best-Subset Selection in Python and R Overview abess (Adaptive BEst Subset Selection) library aims to solve general best subset selection,

297 Dec 21, 2022
Fashion Recommender System With Python

Fashion-Recommender-System Thr growing e-commerce industry presents us with a la

Omkar Gawade 2 Feb 02, 2022
A PyTorch Implementation of PGL-SUM from "Combining Global and Local Attention with Positional Encoding for Video Summarization", Proc. IEEE ISM 2021

PGL-SUM: Combining Global and Local Attention with Positional Encoding for Video Summarization PyTorch Implementation of PGL-SUM From "PGL-SUM: Combin

Evlampios Apostolidis 35 Dec 22, 2022
KDD CUP 2020 Automatic Graph Representation Learning: 1st Place Solution

KDD CUP 2020: AutoGraph Team: aister Members: Jianqiang Huang, Xingyuan Tang, Mingjian Chen, Jin Xu, Bohang Zheng, Yi Qi, Ke Hu, Jun Lei Team Introduc

96 May 30, 2022
Embeds a story into a music playlist by sorting the playlist so that the order of the music follows a narrative arc.

playlist-story-builder This project attempts to embed a story into a music playlist by sorting the playlist so that the order of the music follows a n

Dylan R. Ashley 0 Oct 28, 2021
[ECCVW2020] Robust Long-Term Object Tracking via Improved Discriminative Model Prediction (RLT-DiMP)

Feel free to visit my homepage Robust Long-Term Object Tracking via Improved Discriminative Model Prediction (RLT-DIMP) [ECCVW2020 paper] Presentation

Seokeon Choi 35 Oct 26, 2022
U-Net Brain Tumor Segmentation

U-Net Brain Tumor Segmentation 🚀 :Feb 2019 the data processing implementation in this repo is not the fastest way (code need update, contribution is

Hao 448 Jan 02, 2023
The code for "Deep Level Set for Box-supervised Instance Segmentation in Aerial Images".

Deep Levelset for Box-supervised Instance Segmentation in Aerial Images Wentong Li, Yijie Chen, Wenyu Liu, Jianke Zhu* Any questions or discussions ar

sunshine.lwt 112 Jan 05, 2023
A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning", IJCAI-21

MERIT A PyTorch implementation of our IJCAI-21 paper Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning. Depen

Graph Analysis & Deep Learning Laboratory, GRAND 32 Jan 02, 2023
ByteTrack(Multi-Object Tracking by Associating Every Detection Box)のPythonでのONNX推論サンプル

ByteTrack-ONNX-Sample ByteTrack(Multi-Object Tracking by Associating Every Detection Box)のPythonでのONNX推論サンプルです。 ONNXに変換したモデルも同梱しています。 変換自体を試したい方はByteT

KazuhitoTakahashi 16 Oct 26, 2022
Experiment about Deep Person Re-identification with EfficientNet-v2

We evaluated the baseline with Resnet50 and Efficienet-v2 without using pretrained models. Also Resnet50-IBN-A and Efficientnet-v2 using pretrained on ImageNet. We used two datasets: Market-1501 and

lan.nguyen2k 77 Jan 03, 2023
Making Structure-from-Motion (COLMAP) more robust to symmetries and duplicated structures

SfM disambiguation with COLMAP About Structure-from-Motion generally fails when the scene exhibits symmetries and duplicated structures. In this repos

Computer Vision and Geometry Lab 193 Dec 26, 2022
This is an official implementation for "Video Swin Transformers".

Video Swin Transformer By Ze Liu*, Jia Ning*, Yue Cao, Yixuan Wei, Zheng Zhang, Stephen Lin and Han Hu. This repo is the official implementation of "V

Swin Transformer 981 Jan 03, 2023
Materials for my scikit-learn tutorial

Scikit-learn Tutorial Jake VanderPlas email: [email protected] twitter: @jakevdp gith

Jake Vanderplas 1.6k Dec 30, 2022
High-Resolution 3D Human Digitization from A Single Image.

PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization (CVPR 2020) News: [2020/06/15] Demo with Google Colab (i

Meta Research 8.4k Dec 29, 2022
An executor that loads ONNX models and embeds documents using the ONNX runtime.

ONNXEncoder An executor that loads ONNX models and embeds documents using the ONNX runtime. Usage via Docker image (recommended) from jina import Flow

Jina AI 2 Mar 15, 2022