Treemap visualisation of Maya scene files

Overview

Ever wondered which nodes are responsible for that 600 mb+ Maya scene file?

Features

  • Fast, resizable UI
  • Parsing at 50 mb/sec
  • Dependency-free, single-file install
  • Script Editor support
  • Terminal support
  • Percentage of total size per node
  • Color-coded node types
  • Click to copy node name to clipboard
  • Click to select node in Maya
  • Tooltip with full node name

Roadmap

  • Group by hierarchy SpaceSniffer has the ability to "zoom out" by grouping hierarchies under one large box. That would help snuff out those huge groups with thousands of offset groups and metadata stored as strings.
  • More metadata Hovering takes a while since it's a tooltip. Would be good having not only a faster and more visible popup, but also the full path (rather than just the name) along with parent, number of children, number of attributes, number of connections etc. To help make the decision to kill easier
  • Click to kill Modify the file directly, by removing any offending nodes you know aren't used or necessary.
  • Visualise plug-ins Spot and kill viruses like Turtle on-sight, with one click
  • Live Refresh Just a button to refresh current scene without re-launching the UI
  • Density Graph Just a graph, one point per node, sorted by size. It'll show whether size comes from a few dense nodes, or lots of smaller ones.
  • Heatmap Click button to put a surface shader on all renderable geometry, color all curves, with red being large, black being small. To demonstrate interactively in 3d where size comes from.
  • Visualise Connections These are currently ignored, but sometimes occupy >30% of the file. Include these, somehow..
  • Visualise Maya Preferences These are sometimes stored with the scene file, can get large, but aren't part of any node (?)
  • Responsive UI during parse Parse in a thread, and let the user know about progress. It's plain-old line-by-line reading, so we can get a pretty accurate percentage out of it.

Pull-requests are welcome.

sniffselect


Install

It's a single file, no dependencies.

  1. Download maya_sniffer.py
  2. Store in ~/maya/scripts, e.g. c:\Users\marcus\Documents\maya\scripts
  3. See Usage below

Usage

From the Script Editor.

import maya_sniffer
maya_sniffer.show()

From a terminal.

python maya_sniffer.py c:\path\to\scene.ma

Here's the currently coloured node types.

Color Node Type
transform
nurbsCurve
mesh
joint
camera
skinCluster
dagPose
animCurve

Why?

Whenever I run out of diskspace, I use a free Windows utility called SpaceSniffer. 2 minutes later, I've got the space I was looking for along with a greater understanding of where space typically ends up.

I wanted something like this for Maya.


How it works

Maya Sniffer counts the number of ASCII characters used when saving each node to disk.

That's it.

It's real silly and doesn't tell you how complex or heavy your scene is at run-time. Instead, it'll give you an approximation of where size is and how to recover it.


Showcase

Resizable UI

maya_sniffer

Script Editor

image

Standalone

Requires Python 2/3 and PySide2

image

Owner
Marcus Ottosson
Computer Artist
Marcus Ottosson
NewsMTSC: (Multi-)Target-dependent Sentiment Classification in News Articles

NewsMTSC: (Multi-)Target-dependent Sentiment Classification in News Articles NewsMTSC is a dataset for target-dependent sentiment classification (TSC)

Felix Hamborg 79 Dec 30, 2022
Python library for processing Chinese text

SnowNLP: Simplified Chinese Text Processing SnowNLP是一个python写的类库,可以方便的处理中文文本内容,是受到了TextBlob的启发而写的,由于现在大部分的自然语言处理库基本都是针对英文的,于是写了一个方便处理中文的类库,并且和TextBlob

Rui Wang 6k Jan 02, 2023
🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools

🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools

Hugging Face 15k Jan 02, 2023
Simple, hackable offline speech to text - using the VOSK-API.

Simple, hackable offline speech to text - using the VOSK-API.

Campbell Barton 844 Jan 07, 2023
Language-Agnostic SEntence Representations

LASER Language-Agnostic SEntence Representations LASER is a library to calculate and use multilingual sentence embeddings. NEWS 2019/11/08 CCMatrix is

Facebook Research 3.2k Jan 04, 2023
Fast, DB Backed pretrained word embeddings for natural language processing.

Embeddings Embeddings is a python package that provides pretrained word embeddings for natural language processing and machine learning. Instead of lo

Victor Zhong 212 Nov 21, 2022
This project is part of Eleuther AI's quest to create a massive repository of high quality text data for training language models.

This project is part of Eleuther AI's quest to create a massive repository of high quality text data for training language models.

EleutherAI 42 Dec 13, 2022
Share constant definitions between programming languages and make your constants constant again

Introduction Reconstant lets you share constant and enum definitions between programming languages. Constants are defined in a yaml file and converted

Natan Yellin 47 Sep 10, 2022
Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

NLP-Models-Tensorflow, Gathers machine learning and tensorflow deep learning models for NLP problems, code simplify inside Jupyter Notebooks 100%. Tab

HUSEIN ZOLKEPLI 1.7k Dec 30, 2022
End-to-end MLOps pipeline of a BERT model for emotion classification.

image source EmoBERT-MLOps The goal of this repository is to build an end-to-end MLOps pipeline based on the MLOps course from Made with ML, but this

Dimitre Oliveira 4 Nov 06, 2022
Using context-free grammar formalism to parse English sentences to determine their structure to help computer to better understand the meaning of the sentence.

Sentance Parser Executing the Program Make sure Python 3.6+ is installed. Install requirements $ pip install requirements.txt Run the program:

Vaibhaw 12 Sep 28, 2022
Convolutional 2D Knowledge Graph Embeddings resources

ConvE Convolutional 2D Knowledge Graph Embeddings resources. Paper: Convolutional 2D Knowledge Graph Embeddings Used in the paper, but do not use thes

Tim Dettmers 586 Dec 24, 2022
TTS is a library for advanced Text-to-Speech generation.

TTS is a library for advanced Text-to-Speech generation. It's built on the latest research, was designed to achieve the best trade-off among ease-of-training, speed and quality. TTS comes with pretra

Mozilla 6.5k Jan 08, 2023
Unsupervised Document Expansion for Information Retrieval with Stochastic Text Generation

Unsupervised Document Expansion for Information Retrieval with Stochastic Text Generation Official Code Repository for the paper "Unsupervised Documen

NLP*CL Laboratory 2 Oct 26, 2021
A PyTorch-based model pruning toolkit for pre-trained language models

English | 中文说明 TextPruner是一个为预训练语言模型设计的模型裁剪工具包,通过轻量、快速的裁剪方法对模型进行结构化剪枝,从而实现压缩模型体积、提升模型速度。 其他相关资源: 知识蒸馏工具TextBrewer:https://github.com/airaria/TextBrewe

Ziqing Yang 231 Jan 08, 2023
[EMNLP 2021] Mirror-BERT: Converting Pretrained Language Models to universal text encoders without labels.

[EMNLP 2021] Mirror-BERT: Converting Pretrained Language Models to universal text encoders without labels.

Cambridge Language Technology Lab 61 Dec 10, 2022
BERTopic is a topic modeling technique that leverages 🤗 transformers and c-TF-IDF to create dense clusters allowing for easily interpretable topics whilst keeping important words in the topic descriptions

BERTopic BERTopic is a topic modeling technique that leverages 🤗 transformers and c-TF-IDF to create dense clusters allowing for easily interpretable

Maarten Grootendorst 3.6k Jan 07, 2023
🦆 Contextually-keyed word vectors

sense2vec: Contextually-keyed word vectors sense2vec (Trask et. al, 2015) is a nice twist on word2vec that lets you learn more interesting and detaile

Explosion 1.5k Dec 25, 2022
Guide to using pre-trained large language models of source code

Large Models of Source Code I occasionally train and publicly release large neural language models on programs, including PolyCoder. Here, I describe

Vincent Hellendoorn 947 Dec 28, 2022
Deep Learning for Natural Language Processing - Lectures 2021

This repository contains slides for the course "20-00-0947: Deep Learning for Natural Language Processing" (Technical University of Darmstadt, Summer term 2021).

0 Feb 21, 2022