Humor

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humor is an open-source tool for 3D human motion modeling and robust pose estimation. It provides an official implementation for the ICCV 2021 paper, focusing on research and development in computer vision.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is humor?

humor is the official open-source implementation for the ICCV 2021 paper "HuMoR: 3D Human Motion Model for Robust Pose Estimation." This tool is designed for researchers and developers in computer vision, offering capabilities for 3D human motion modeling and robust pose estimation. It supports various functionalities including fitting to RGB videos, 3D data, and specific datasets like i3DB and PROX. Users can train and test motion models, including HuMoR and HuMoR-Qual, and visualize results. The codebase relies on external dependencies like SMPL+H, VPoser, and OpenPose for comprehensive human motion analysis and reconstruction.

Best used for

Ideal for developers and data scientists who need to implement and evaluate advanced 3D human motion models, estimate human pose from various data sources, and conduct research in computer vision. Especially valuable for those working with RGB videos, 3D keypoints, and large motion capture datasets.

Common actions

model human motion

estimate human pose

analyze video data

train computer vision models

reconstruct 3D human movement

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Capabilities

Key features

3D human motion modeling
Robust pose estimation
Fit to RGB videos
Fit to 3D data
Train motion models
Evaluate motion models
Visualize results

Target Audience

developerdata scientistprofessorstudent

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What are the system requirements for running humor?

humor was developed on Ubuntu 16.04/18.04 with Python 3.7, CUDA 10.1, and PyTorch 1.6.0. While later versions might work, these are the tested configurations. You will also need ffmpeg installed for visualizations and potentially OpenPose for 2D joint detection from RGB videos.

What external dependencies are required for humor?

The codebase relies on several external downloads. These include SMPL+H for the body model, VPoser for the pose prior during initialization, and various datasets like AMASS, i3DB, and PROX. OpenPose is also needed for 2D joint detection if you're processing arbitrary RGB videos.

Can humor be used to analyze custom RGB videos?

Yes, humor supports test-time optimization for arbitrary RGB videos. You will need SMPL+H, VPoser, OpenPose, and a pretrained HuMoR model. The tool provides configurations for optimizing entire videos or splitting longer videos into overlapping sub-sequences for efficiency.

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