Pre-requisite

• Ubuntu 18.04 or later
• CUDA version 10+
• List of NVIDIA Graphics cards supporting CUDA 10+ https://gist.github.com/standaloneSA/99788f30466516dbcc00338b36ad5acf

1. Download and Install Anaconda from the following link

https://www.anaconda.com/products/individual

Make sure to export your conda bin folder to .bashrc

export PATH="/root/anaconda3/bin:$PATH"

2. Download and unzip the application from

Click here to download 4SM application

3. Install Python libraries dependencies

In the root folder of the unzipped project, run the following shell script

sh linux_install_libs.sh

This step will create Anaconda's environment and install all python dependencies

Running the application

Run the following shell script in the root folder of the application

sh linux_start_app.sh

If you are running on a remote server, the application can be access from its public URL as shown above A new browser will open with 4SM app running on the following URL: [http://:8501](http://:8501)

Please note that if you are using an older version of Internet Explorer, copy the application URL and paste it in Google Chrome, Microsoft Edge, or Firefox

Common installation issues

Ubuntu

ImportError: libGL.so.1: cannot open shared object file: No such file or directory

Run

apt-get update && apt-get install -y python3-opencv