A simple visual front end to the Maya UE4 RBF plugin delivered with MetaHumans

Overview

poseWrangler

alt tag

Overview

PoseWrangler is a simple UI to create and edit pose-driven relationships in Maya using the MayaUE4RBF plugin. This plugin is distributed by Epic Games and installed by Quixel Bridge, initially with MetaHuman source files.

Initially created by Chris Evans, maintained, improved and prettied-up throughout MetaHuman development by Judd Simantov.

Opening the tool

To load the tool, you can call it like so:

from poseWrangler import poseWranglerUI as ui
ui.showUI()
You might also like...
Open-Source Toolkit for End-to-End Speech Recognition leveraging PyTorch-Lightning and Hydra.
Open-Source Toolkit for End-to-End Speech Recognition leveraging PyTorch-Lightning and Hydra.

OpenSpeech provides reference implementations of various ASR modeling papers and three languages recipe to perform tasks on automatic speech recogniti

Open-Source Toolkit for End-to-End Speech Recognition leveraging PyTorch-Lightning and Hydra.
Open-Source Toolkit for End-to-End Speech Recognition leveraging PyTorch-Lightning and Hydra.

OpenSpeech provides reference implementations of various ASR modeling papers and three languages recipe to perform tasks on automatic speech recogniti

In this repository, I have developed an end to end Automatic speech recognition project. I have developed the neural network model for automatic speech recognition with PyTorch and used MLflow to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry.
Athena is an open-source implementation of end-to-end speech processing engine.

Athena is an open-source implementation of end-to-end speech processing engine. Our vision is to empower both industrial application and academic research on end-to-end models for speech processing. To make speech processing available to everyone, we're also releasing example implementation and recipe on some opensource dataset for various tasks (Automatic Speech Recognition, Speech Synthesis, Voice Conversion, Speaker Recognition, etc).

Open-Source Toolkit for End-to-End Speech Recognition leveraging PyTorch-Lightning and Hydra.
Open-Source Toolkit for End-to-End Speech Recognition leveraging PyTorch-Lightning and Hydra.

🤗 Contributing to OpenSpeech 🤗 OpenSpeech provides reference implementations of various ASR modeling papers and three languages recipe to perform ta

A demo for end-to-end English and Chinese text spotting using ABCNet.
A demo for end-to-end English and Chinese text spotting using ABCNet.

ABCNet_Chinese A demo for end-to-end English and Chinese text spotting using ABCNet. This is an old model that was trained a long ago, which serves as

End-to-end text to speech system using gruut and onnx. There are 40 voices available across 8 languages.
Deal or No Deal? End-to-End Learning for Negotiation Dialogues

Introduction This is a PyTorch implementation of the following research papers: (1) Hierarchical Text Generation and Planning for Strategic Dialogue (

PyTorch implementation of Microsoft's text-to-speech system FastSpeech 2: Fast and High-Quality End-to-End Text to Speech.
PyTorch implementation of Microsoft's text-to-speech system FastSpeech 2: Fast and High-Quality End-to-End Text to Speech.

An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"

Comments
  • Adding driven transform also adds a mx_pose node which breaks export.

    Adding driven transform also adds a mx_pose node which breaks export.

    Had this issue on my own character so decided to test it on a meta human character to see if it was something specific to my own rig, and I got the same issue.

    Repro steps:

    1. Export a metahuman from Quixel Bridge to Maya 2020.4. (I exported the character Ada.)
    2. Add a joint to the skeleton. (In this case I duplicated calf_knee_l_drv, renamed it to calf_knee_l_pad and parented it under calf_correctiveRoot_l_drv.)
    3. Select the new joint.
    4. Select calf_l_UE4RBFSolver as driver in the Pose Wrangler UI.
    5. Press Add driven transform(s).
    6. The new joint is added to the Driven transform(s) list but so is a node called calf_l_back_50_calf_knee_l_pad_mx_pose1.

    This extra node breaks export of the poses. We get a value error: # ValueError: No object matches name: calf_l_back_50_calf_knee_l_pad_mx_pose1.translate

    extra_mx_pose_node

    opened by annikens 0
  • Maya 2020 compatability

    Maya 2020 compatability

    Thanks for the Tool Chris! I found some issues when working with Maya 2020. I had to add a couple of lines of code to make it work. I'm not sure what "Radius" dose on the solver node, but in 2020 it was being created with a value of 0, which was breaking our RBF poses (well they just wern't being applied when no in Edit mode. (sorry if this isnt the way to go about it, I'm a git noob)

    In poseWrangler.create_UE4RBFSolverNode() [line 167] cmds.setAttr((self.solver + '.automaticRadius'), 1)

    and in poseWranglerUI.init() [line 52]

    version = cmds.about(version=True)
    if not cmds.pluginInfo(('MayaUE4RBFPlugin' + version), q=True, loaded=True):
                cmds.loadPlugin(('MayaUE4RBFPlugin' + version))
    

    Thanks and hope it helps! Andy Seredy

    opened by AndyInTX 1
Releases(2.0.0)
  • 2.0.0(Jun 9, 2022)

    • Supports scenes created with the UERBFSolverNode
    • Multiple Driver Support
    • Initial blendshape support (WIP)
    • Supports Maya 2018-2022
    • Support for custom mirror mappings to allow for rigs with naming conventions that deviate from the default UE5 conventions
    • Fully automatable via Python and MayaPy
    • Serialization/deserialization to dictionary or JSON file
    • Support for custom extensions and context menu actions

    Contributors

    • Chris Theodosius
    • Chris Evans
    • Judd Simantov
    • David Corral
    • Borna Berc
    Source code(tar.gz)
    Source code(zip)
  • 1.0.0(Jun 9, 2022)

Owner
Christopher Evans
Always trying to give back!
Christopher Evans
Research Code for NeurIPS 2020 Spotlight paper "Large-Scale Adversarial Training for Vision-and-Language Representation Learning": UNITER adversarial training part

VILLA: Vision-and-Language Adversarial Training This is the official repository of VILLA (NeurIPS 2020 Spotlight). This repository currently supports

Zhe Gan 109 Dec 31, 2022
Data preprocessing rosetta parser for python

datapreprocessing_rosetta_parser I've never done any NLP or text data processing before, so I wanted to use this hackathon as a learning opportunity,

ASReview hackathon for Follow the Money 2 Nov 28, 2021
Code repository of the paper Neural circuit policies enabling auditable autonomy published in Nature Machine Intelligence

Code repository of the paper Neural circuit policies enabling auditable autonomy published in Nature Machine Intelligence

9 Jan 08, 2023
A method to generate speech across multiple speakers

VoiceLoop PyTorch implementation of the method described in the paper VoiceLoop: Voice Fitting and Synthesis via a Phonological Loop. VoiceLoop is a n

Facebook Archive 873 Dec 15, 2022
An implementation of model parallel GPT-3-like models on GPUs, based on the DeepSpeed library. Designed to be able to train models in the hundreds of billions of parameters or larger.

GPT-NeoX An implementation of model parallel GPT-3-like models on GPUs, based on the DeepSpeed library. Designed to be able to train models in the hun

EleutherAI 3.1k Jan 08, 2023
This repository contains the code, models and datasets discussed in our paper "Few-Shot Question Answering by Pretraining Span Selection"

Splinter This repository contains the code, models and datasets discussed in our paper "Few-Shot Question Answering by Pretraining Span Selection", to

Ori Ram 88 Dec 31, 2022
Simple Python library, distributed via binary wheels with few direct dependencies, for easily using wav2vec 2.0 models for speech recognition

Wav2Vec2 STT Python Beta Software Simple Python library, distributed via binary wheels with few direct dependencies, for easily using wav2vec 2.0 mode

David Zurow 22 Dec 29, 2022
Awesome Treasure of Transformers Models Collection

💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️

Ashish Patel 577 Jan 07, 2023
Package for controllable summarization

summarizers summarizers is package for controllable summarization based CTRLsum. currently, we only supports English. It doesn't work in other languag

Hyunwoong Ko 72 Dec 07, 2022
edge-SR: Super-Resolution For The Masses

edge-SR: Super Resolution For The Masses Citation Pablo Navarrete Michelini, Yunhua Lu and Xingqun Jiang. "edge-SR: Super-Resolution For The Masses",

Pablo 40 Nov 10, 2022
A simple recipe for training and inferencing Transformer architecture for Multi-Task Learning on custom datasets. You can find two approaches for achieving this in this repo.

multitask-learning-transformers A simple recipe for training and inferencing Transformer architecture for Multi-Task Learning on custom datasets. You

Shahrukh Khan 48 Jan 02, 2023
A PyTorch implementation of VIOLET

VIOLET: End-to-End Video-Language Transformers with Masked Visual-token Modeling A PyTorch implementation of VIOLET Overview VIOLET is an implementati

Tsu-Jui Fu 119 Dec 30, 2022
Model parallel transformers in JAX and Haiku

Table of contents Mesh Transformer JAX Updates Pretrained Models GPT-J-6B Links Acknowledgments License Model Details Zero-Shot Evaluations Architectu

Ben Wang 4.9k Jan 04, 2023
Using BERT-based models for toxic span detection

SemEval 2021 Task 5: Toxic Spans Detection: Task: Link to SemEval-2021: Task 5 Toxic Span Detection is https://competitions.codalab.org/competitions/2

Ravika Nagpal 1 Jan 04, 2022
DANeS is an open-source E-newspaper dataset by collaboration between DATASET JSC (dataset.vn) and AIV Group (aivgroup.vn)

DANeS - Open-source E-newspaper dataset Source: Technology vector created by macrovector - www.freepik.com. DANeS is an open-source E-newspaper datase

DATASET .JSC 64 Aug 17, 2022
Applied Natural Language Processing in the Enterprise - An O'Reilly Media Publication

Applied Natural Language Processing in the Enterprise This is the companion repo for Applied Natural Language Processing in the Enterprise, an O'Reill

Applied Natural Language Processing in the Enterprise 95 Jan 05, 2023
CPC-big and k-means clustering for zero-resource speech processing

The CPC-big model and k-means checkpoints used in Analyzing Speaker Information in Self-Supervised Models to Improve Zero-Resource Speech Processing.

Benjamin van Niekerk 5 Nov 23, 2022
Code for Findings of ACL 2022 Paper "Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR Errors"

SWRM Code for Findings of ACL 2022 Paper "Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR Errors" Clone Clone th

14 Jan 03, 2023
Train 🤗transformers with DeepSpeed: ZeRO-2, ZeRO-3

Fork from https://github.com/huggingface/transformers/tree/86d5fb0b360e68de46d40265e7c707fe68c8015b/examples/pytorch/language-modeling at 2021.05.17.

Junbum Lee 12 Oct 26, 2022
The official implementation of VAENAR-TTS, a VAE based non-autoregressive TTS model.

VAENAR-TTS This repo contains code accompanying the paper "VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis". Sa

THUHCSI 138 Oct 28, 2022