Human motion synthesis using Unity3D

Overview

Human motion synthesis using Unity3D

Prerequisite:

Software: amc2bvh.exe, Unity 2017, Blender.
Unity: RockVR (Video Capture), scenes, character models Files:
Motion files: amc, asf or bvh formats.
Character models: fbx format.

Procedure

  1. If motion files in amc/asf format, run amc2bvh.exe to convert them to bvh
  2. Place all bvh files into "Desktop/New folder/bvh" (or modify script)
  3. Open Blender and run the bvh2fbx.py script. It will convert the motion files to fbx format which Unity can process and place them under the unity "Resources/Input"[1]
  4. Find the imported motion file in Unity and change its Animation Type to Humanoid under Rig. Check to make sure the model is mapped properly.
  5. Configure the different variations to record video (characters, camera angle, scene, lighting)
    1. For characters, add[2] or remove from the "characters" GameObject in Unity Editor for the ones desired. For new character added to the scene, add the "New Animation Controller"[3] in Asset to the character's controller in the "Animator" section.
    2. For camera, change the position of the DedicatedCapture GameObjects to the desired location. Add additional DedicatedCapture GameObjects for more angle. Read the documentation for RockVR Video Capture for more detail.
    3. For scene, check the desired scenes within the intro scene and run.
    4. For lighting, change the "lights" parameter in Automation.cs script. Add more values to the array for more variations in lighting angles.
  6. Start up the "intro" scene and run it from Unity Editor. Click "Start" button to start the problem.
  7. Adjust the desired resolution and framerate and click start. For initial run, leave all the counters to 0. For continuing runs enter the counters where the previous run left off. The videos will be recorded to "Documents/RockVR/Video"[4]

Note

  • [1] Converting too many bvh files at a time may result in Blender crashing. Try converting them in batches of smaller quantity (~50).
  • [2] To add a GameObject to a Scene in Unity, drag it from the Asset menu to a position in the Hierarchy menu or a position in the scene itself. You can also create an empty GameObject from the "GameObject->Create Empty" option.
  • [3] Depending on the framerate of the motion files, you may need to adjust the speed of the animation. To do this go to "Assets" and find the "New Animator Controller" and open it. Then click on "New State" and adjust the speed to framerate/24 (if 120 frames changes to 5, if 60 change to 2.5, etc). Also find the line "timeLeft = ((AnimationClip)clips[clipCounter]).length;" in the SwitchAnimation function and divide it by the speed.
  • [4] Unity will most likely freeze or crash if left running for too long. Adjust the counters in the "intro" scene to resume progress.

Scene Creation procedure

  1. To get a scene, either download a pre-built one or build one yourself using various 3d models for GameObjects.
  2. Create an empty GameObject named "characters" and place it at a location best suited for recording. Add a character to it to see if any adjusting or scaling is needed.
  3. Add DedicatedCapture GameObjects from the "RockVR/Video/Prefabs" folder to the scene in desired locations.
  4. Attach the AudioCapture script in "RockVR/Video/Scripts" folder to the main camera.
  5. Create an empty GameObject named "VideoCaptureCtrl" and attach the VideoCaptureCtrl script in "RockVR/Video/Scripts" to it. Also attach the Automation.cs script from "Scripts" to it as well.
  6. Add the first DedicatedCapture GameObject as well as the AudioCapture to the the VideoCaptureCtrl script.
  7. If there is no "Directional light" GameObject, create one.
  8. Add the created scene to build settings.
  9. Add a check box in the intro scene for the newly created scene and modify the scene "ProcessParameter" accordingly.

Additional characters

In the "characters" folder in Assets, there is a list of preprocessed characters I got from the Unity asset store for free.
To process new characters:

  1. Change its Animation type to Humanoid under Rig
  2. Fix any mapping problem for the bones of the character
  3. Remove the mapping on the bones for both hands. This could be done using the "New Human Template" in the Assets folder. (This is to avoid weird finger mapping from the animations)

Instructions on error handling

  • If you tried to terminate the program insider the Unity Editor, the ffmpeg.exe will still be running and result in unfinished video and audio files to remain in the videos folder. To solve this issue, simply terminate the ffmpeg.exe from task manager and delete the unfinished files.
  • Since the program freezes fairly often, a temporary save state feature is implemented. Once Unity froze, terminate it from task manager. Look into the videos folder and figure out what combination the next video should be. Enter the parameters where the last run left off in the "intro" scene (various counters) to pick up from there.

Local environment specs

  • OS: Microsoft Windows 10 Pro
  • Version: 10.0.16299 Build 16299
  • Processor: Intel(R) Xeon(R) CPU E5-2630 v4 @ 2.20GHz, 2201 Mhz, 10 Core(s), 20 Logical Processor(s)
  • Total Physical Memory: 63.9 GB
  • GPU: NVIDIA Quadro M5000
Owner
Hao Xu
Hao Xu
Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shakespeare, mnist, cifar-10 and fashion-mnist. )

Differential Privacy (DP) Based Federated Learning (FL) Everything about DP-based FL you need is here. (所有你需要的DP-based FL的信息都在这里) Code Tip: the code o

wenzhu 83 Dec 24, 2022
A PyTorch Implementation of Single Shot Scale-invariant Face Detector.

S³FD: Single Shot Scale-invariant Face Detector A PyTorch Implementation of Single Shot Scale-invariant Face Detector. Eval python wider_eval_pytorch.

carwin 235 Jan 07, 2023
State-of-the-art language models can match human performance on many tasks

Status: Archive (code is provided as-is, no updates expected) Grade School Math [Blog Post] [Paper] State-of-the-art language models can match human p

OpenAI 259 Jan 08, 2023
An example of semantic segmentation using tensorflow in eager execution.

Semantic segmentation using Tensorflow eager execution Requirement Python 2.7+ Tensorflow-gpu OpenCv H5py Scikit-learn Numpy Imgaug Train with eager e

Iñigo Alonso Ruiz 25 Sep 29, 2022
🏆 The 1st Place Submission to AICity Challenge 2021 Natural Language-Based Vehicle Retrieval Track (Alibaba-UTS submission)

AI City 2021: Connecting Language and Vision for Natural Language-Based Vehicle Retrieval 🏆 The 1st Place Submission to AICity Challenge 2021 Natural

82 Dec 29, 2022
Code for CVPR2021 paper "Learning Salient Boundary Feature for Anchor-free Temporal Action Localization"

AFSD: Learning Salient Boundary Feature for Anchor-free Temporal Action Localization This is an official implementation in PyTorch of AFSD. Our paper

Tencent YouTu Research 146 Dec 24, 2022
ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information

ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information This repository contains code, model, dataset for ChineseBERT at ACL2021. Ch

413 Dec 01, 2022
A Transformer-Based Siamese Network for Change Detection

ChangeFormer: A Transformer-Based Siamese Network for Change Detection (Under review at IGARSS-2022) Wele Gedara Chaminda Bandara, Vishal M. Patel Her

Wele Gedara Chaminda Bandara 214 Dec 29, 2022
Prototypical python implementation of the trust-region algorithm presented in Sequential Linearization Method for Bound-Constrained Mathematical Programs with Complementarity Constraints by Larson, Leyffer, Kirches, and Manns.

Prototypical python implementation of the trust-region algorithm presented in Sequential Linearization Method for Bound-Constrained Mathematical Programs with Complementarity Constraints by Larson, L

3 Dec 02, 2022
Unsupervised Learning of Video Representations using LSTMs

Unsupervised Learning of Video Representations using LSTMs Code for paper Unsupervised Learning of Video Representations using LSTMs by Nitish Srivast

Elman Mansimov 341 Dec 20, 2022
Roadmap to becoming a machine learning engineer in 2020

Roadmap to becoming a machine learning engineer in 2020, inspired by web-developer-roadmap.

Chris Hoyean Song 1.7k Dec 29, 2022
Training neural models with structured signals.

Neural Structured Learning in TensorFlow Neural Structured Learning (NSL) is a new learning paradigm to train neural networks by leveraging structured

955 Jan 02, 2023
Wordle-solver - Wordle answer generation program in python

🟨 Wordle Solver 🟩 Wordle answer generation program in python ✔️ Requirements U

Dahyun Kang 4 May 28, 2022
FAMIE is a comprehensive and efficient active learning (AL) toolkit for multilingual information extraction (IE)

FAMIE: A Fast Active Learning Framework for Multilingual Information Extraction

18 Sep 01, 2022
source code for https://arxiv.org/abs/2005.11248 "Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics"

Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics This work will be published in Nature Biomedical

International Business Machines 71 Nov 15, 2022
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

mani 1.2k Jan 07, 2023
YOLOX_AUDIO is an audio event detection model based on YOLOX

YOLOX_AUDIO is an audio event detection model based on YOLOX, an anchor-free version of YOLO. This repo is an implementated by PyTorch. Main goal of YOLOX_AUDIO is to detect and classify pre-defined

intflow Inc. 77 Dec 19, 2022
Bounding Wasserstein distance with couplings

BoundWasserstein These scripts reproduce the results of the article Bounding Wasserstein distance with couplings by Niloy Biswas and Lester Mackey. ar

Niloy Biswas 1 Jan 11, 2022
torchbearer: A model fitting library for PyTorch

Note: We're moving to PyTorch Lightning! Read about the move here. From the end of February, torchbearer will no longer be actively maintained. We'll

631 Jan 04, 2023
Simple renderer for use with MuJoCo (>=2.1.2) Python Bindings.

Viewer for MuJoCo in Python Interactive renderer to use with the official Python bindings for MuJoCo. Starting with version 2.1.2, MuJoCo comes with n

Rohan P. Singh 62 Dec 30, 2022