Travis Med AI

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1. Introduction
2. Getting Started
a) InstallationPrerequisitesClone repositoryStart projectb) Basic Usage
3. Models
4. Contributing

Installation

Prerequisites

Docker

  • Install docker from here
    • Make sure to add user to the docker group (more info)

Nvidia

Setup Nvidia Runtime

  • Install nvidia drivers
  • Install nvidia runtime using commands below (more info here)
#### Add the package repositories
distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add -
curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list
sudo apt-get update && sudo apt-get install -y nvidia-container-toolkit
sudo systemctl restart docker
  • Install nvidia-container-runtime
sudo apt install nvidia-container-runtime
  • Add the following file at /etc/docker/daemon.json
{
    "runtimes": {
        "nvidia": {
            "path": "nvidia-container-runtime",
            "runtimeArgs": []
        }
    }
}
  • Test that the setup is working with the following command
docker run --runtime=nvidia nvidia/cuda:10.0-base nvidia-smi

Clone repository

git clone git@github.com:tclarke104/med-ai --recursive-submodules # download
cd med-ai/med-ai-model
chmod +x ./build.sh
./build.sh

Start project

cd med-ai
docker-compose up --build

Site will be running at http://localhost:4200.