dbm-test123 0.1.17

OpenDBM is a software package that allows for calculation of digital biomarkers of health and functioning from video or audio of an individual’s behavior.

OpenDBM

Supported OS Platforms

OS	Build Status
Linux
Windows
macOS

What is it

OpenDBM is a software package that allows for calculation of digital biomarkers of health and functioning from video or audio of an individual’s behavior. It integrates existing tools for behavioral measurements such as facial activity, voice, speech, and movement into a single package for measurement of overall behavior.

More About OpenDBM

At a modular level, OpenDBM is a library that consists of the following components:

Component	Description
Facial	An OpenDBM module to get facial attributes
Movement	An OpenDBM module to get movement attributes
Accoustic	An OpenDBM module to get accoustic attributes
Audio	An OpenDBM module to get audio attributes

Usually, OpenDBM is used for:

• A digital biomaker extraction app
• A helper tools to give insight of patient condition

Table of Contents

• ⭐️ Installation
  • Prerequisites
    • Install Dependencies
  • OpenDBM Installation
• ⭐️ Usage
  • Basic Usage
    • Try your first OpenDBM program
• ⭐️ More resources
• ⭐️ License
• ⭐️ People

⭐️ Installation

Prerequisites (Install Dependencies)

With Conda Environment (recommended)

Make sure to install conda first at anaconda

On Linux/macOS

conda install -c conda-forge cmake ffmpeg sox

On Windows

#Make sure to run in Anaconda Prompt, or add conda to the path.
conda install -c conda-forge ffmpeg sox dlib

Without Conda Environment

Installation instructions

OpenDBM Installation

pip install opendbm 

Model Download ( Facial and Movement Components)

Make sure you have installed docker and already login to Docker Hub.

If you haven't, Find the tutorial here

docker pull jordihasianta/dbm-test2
docker image tag jordihasianta/dbm-test2 dbm-openface

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⭐️ Usage

Basic Usage

Try your first OpenDBM program

from opendbm import FacialActivity

#make sure Docker is active to access the model
model = FacialActivity()
path = "sample.mp4"
model.fit(path)
landmark = model.get_landmark()

To get the attribute like mean and std is as straighforward as .mean():

landmark.mean()
landmark.std()
landmark.to_dataframe() # convert results as pandas dataframe

For more in-depth tutorials about OpenDBM, you can check out:

• Introduction to OpenDBM
• Advance Guide
• API Documentation

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⭐️ More resources

• Our wiki
• OpenDBM 2.0 Documentation
• AiCure page

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⭐️ License

OpenDBM is published under the GNU AGPL 3.0 license.

⭐️ People

OpenDBM was developed by Anzar Abbas and Vijay Yadav, alongside Vidya Koesmahargyo and Isaac Galatzer-Levy, from within the Research and Development department at AiCure––a health tech startup in New York. It was made open source in October 2020. You can contact us at [e-mail].

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