A blender add-on that automatically re-aligns wrong axis objects.

Overview

Auto Align

A blender add-on that automatically re-aligns wrong axis objects.

inform

Usage

There are three options available in the 3D Viewport > Sidebar > Item > Auto Align.

  • Rotate : Rotate the selected object to match the world axis.
  • Rotate & Bake : Same as Rotate, but rotation is applied.
  • Keep Position & Bake : Keep the object fixed and only change the local axis.

Also there is a symmetry option. This option can be used to align symmetrical objects, even though there are not many orthogonal faces to the axis. It's a bit slower, but effective when aligning organic objects, such as people.

inform2

Note

  • The object should be symmetric or have enough orthogonal faces.
  • When using symmetry option, the model doesn't need to be completely symmetrical because the algorithm considers the outlier.
  • The symmetry plane detection algorithm is far from perfect. If the object is complex (>105 vertices?), symmetry detection will fail with a high probability. Also, if a single object has multiple planes of symmetry, the alignment can be done in an unintended manner.

Algorithm

Orientation

The proper orientation of the object is calculated as follows:

  1. RANSAC (Random sample consensus)

    • Randomly select two orthogonal faces to create a candidate orientation.
    • Find the faces that corresponding to the axis within a specific threshold (<5 deg).
    • Criterion is to maximize the sum of the areas of the face.
  2. Correction

    • Fine-tune the candidate orientation.
    • Find the weighted median of the points on each axis and rotate the orientation.
    • Repeat until convergence.
  3. XYZ adjustment

    • To avoid continuous flips and maintain consistency while repeating the same operation.
    • Determine XYZ axis to have the least difference from the initial mesh orientation.

For each object, only up to 104 faces are considered in the process. This is due to performance reason. If there are more than 104 faces, larger faces would be considered first.

Symmetry Plane Detection

When the symmetry option is on, the symmetry plane must be derived before RANSAC.

  1. Vertex pair matching
    • Randomly extract vertex pairs that satisfy symmetry conditions.
    • Vertex normals must be consistent with their relative positions.
  2. Plane voting
    • 4 parameters of fitting plane is calculated from each pair.
    • From 4D voting space, choose plane parameters that receive the most votes.
  3. Correction
    • From the planes within a certain distance, calculate the median of each parameter.
Code for the paper "There is no Double-Descent in Random Forests"

Code for the paper "There is no Double-Descent in Random Forests" This repository contains the code to run the experiments for our paper called "There

2 Jan 14, 2022
Tensorflow Implementation of the paper "Spectral Normalization for Generative Adversarial Networks" (ICML 2017 workshop)

tf-SNDCGAN Tensorflow implementation of the paper "Spectral Normalization for Generative Adversarial Networks" (https://www.researchgate.net/publicati

Nhat M. Nguyen 248 Nov 25, 2022
NeurIPS-2021: Neural Auto-Curricula in Two-Player Zero-Sum Games.

NAC Official PyTorch implementation of NAC from the paper: Neural Auto-Curricula in Two-Player Zero-Sum Games. We release code for: Gradient based ora

Xidong Feng 19 Nov 11, 2022
Faster RCNN pytorch windows

Faster-RCNN-pytorch-windows Faster RCNN implementation with pytorch for windows Open cmd, compile this comands: cd lib python setup.py build develop T

Hwa-Rang Kim 1 Nov 11, 2022
Pytorch implementation of "M-LSD: Towards Light-weight and Real-time Line Segment Detection"

M-LSD: Towards Light-weight and Real-time Line Segment Detection Pytorch implementation of "M-LSD: Towards Light-weight and Real-time Line Segment Det

123 Jan 04, 2023
BMVC 2021 Oral: code for BI-GCN: Boundary-Aware Input-Dependent Graph Convolution for Biomedical Image Segmentation

BMVC 2021 BI-GConv: Boundary-Aware Input-Dependent Graph Convolution for Biomedical Image Segmentation Necassary Dependencies: PyTorch 1.2.0 Python 3.

Yanda Meng 15 Nov 08, 2022
πŸ›  All-in-one web-based IDE specialized for machine learning and data science.

All-in-one web-based development environment for machine learning Getting Started β€’ Features & Screenshots β€’ Support β€’ Report a Bug β€’ FAQ β€’ Known Issu

Machine Learning Tooling 2.9k Jan 09, 2023
🚩🚩🚩

My CTF Challenges 2021 AIS3 Pre-exam / MyFirstCTF Name Category Keywords Difficulty β’Έβ“„β“‹β’Ύβ’Ή-①⑨ (MyFirstCTF Only) Reverse Baby β˜… Piano Reverse C#, .NET β˜…

6 Oct 28, 2021
Train Dense Passage Retriever (DPR) with a single GPU

Gradient Cached Dense Passage Retrieval Gradient Cached Dense Passage Retrieval (GC-DPR) - is an extension of the original DPR library. We introduce G

Luyu Gao 92 Jan 02, 2023
SymmetryNet: Learning to Predict Reflectional and Rotational Symmetries of 3D Shapes from Single-View RGB-D Images

SymmetryNet SymmetryNet: Learning to Predict Reflectional and Rotational Symmetries of 3D Shapes from Single-View RGB-D Images ACM Transactions on Gra

26 Dec 05, 2022
A torch.Tensor-like DataFrame library supporting multiple execution runtimes and Arrow as a common memory format

TorchArrow (Warning: Unstable Prototype) This is a prototype library currently under heavy development. It does not currently have stable releases, an

Facebook Research 536 Jan 06, 2023
Fuzzing the Kernel Using Unicornafl and AFL++

Unicorefuzz Fuzzing the Kernel using UnicornAFL and AFL++. For details, skim through the WOOT paper or watch this talk at CCCamp19. Is it any good? ye

Security in Telecommunications 283 Dec 26, 2022
Use unsupervised and supervised learning to predict stocks

AIAlpha: Multilayer neural network architecture for stock return prediction This project is meant to be an advanced implementation of stacked neural n

Vivek Palaniappan 1.5k Dec 26, 2022
This repo provides code for QB-Norm (Cross Modal Retrieval with Querybank Normalisation)

This repo provides code for QB-Norm (Cross Modal Retrieval with Querybank Normalisation) Usage example python dynamic_inverted_softmax.py --sims_train

36 Dec 29, 2022
Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.

TorchSeg This project aims at providing a fast, modular reference implementation for semantic segmentation models using PyTorch. Highlights Modular De

ycszen 1.4k Jan 02, 2023
Implementation of SwinTransformerV2 in TensorFlow.

SwinTransformerV2-TensorFlow A TensorFlow implementation of SwinTransformerV2 by Microsoft Research Asia, based on their official implementation of Sw

Phan Nguyen 2 May 30, 2022
Source code and dataset for ACL2021 paper: "ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning".

ERICA Source code and dataset for ACL2021 paper: "ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive L

THUNLP 75 Nov 02, 2022
SwinIR: Image Restoration Using Swin Transformer

SwinIR: Image Restoration Using Swin Transformer This repository is the official PyTorch implementation of SwinIR: Image Restoration Using Shifted Win

Jingyun Liang 2.4k Jan 08, 2023
Diagnostic tests for linguistic capacities in language models

LM diagnostics This repository contains the diagnostic datasets and experimental code for What BERT is not: Lessons from a new suite of psycholinguist

61 Jan 02, 2023
An Exact Solver for Semi-supervised Minimum Sum-of-Squares Clustering

PC-SOS-SDP: an Exact Solver for Semi-supervised Minimum Sum-of-Squares Clustering PC-SOS-SDP is an exact algorithm based on the branch-and-bound techn

Antonio M. Sudoso 1 Nov 13, 2022