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🚀 Installation Guide

DL_Track_US is designed with ease-of-use in mind. Whether you're a developer or completely new to coding, getting started is simple.

We provide two ways to install DL_Track_US:

No programming required

  1. Visit our OSF project page and anvigate to `Files/v0.3.0/´
  2. Download and unzip the file: DL_Track_US_example0.3.0.zip
  3. Inside the unzipped folder, open:
    DL_Track_US_example/DL_Track_US_Installer/DLTrackUS_Installer_Windows.exe
  4. Follow the instructions in the installation wizard.
  5. Double-click the desktop icon to launch the DL_Track_US GUI

If you want to change the analysis settings, run DL_Track_US as administrator.

You can now test the app using the provided example files.
Check our Tutorial and Testing sections for more.

⚠️ Note: The DL_Track_US installer is available for Windows only. We are working on a MacOS version.

⚠️ You might see a warning from your antivirus software. You can safely dismiss it, this app is secure and verified.

Ideal for customization, development, or contributing

Step 1 - Install Anaconda

  • Download and install Anaconda
  • Be sure to check the box:
    Add Anaconda to my PATH environment variable

Step 2 - Create a virtual environment

conda create -n DL_Track_US0.3.0 python=3.10
conda activate DL_Track_US0.3.0

Step 3 - Install DL_Track_US

Windows users:

pip install DL-Track-US==0.3.0

MacOS users:

  1. Download the repo or just the requirements.txt file from
    GitHub
  2. Navigate to the folder where requirements.txt is located:
cd path/to/DL_Track_US
  1. Install dependencies and the package:
pip install -r requirements.txt
python -m pip install -e .

⚠️ Note: DL_Track_US was tested on Windows 10 and 11 as well as M1/M2 Macs.

Step 4 - Start the DL_Track_US GUI

You have two options:

Option A From the installed package:

python -m DL_Track_US

Option B From the cloned repository:

cd DL_Track_US/DL_Track_US
python DL_Track_US_GUI.py

Optional: GPU Setup for Faster Inference

For Windows/NVIDIA users:

  1. Install NVIDIA GPU drivers
  2. Download:
  3. CUDA 11.2
  4. cuDNN 8.5
  5. Follow this video tutorial (minutes 9-13)

For Mac (M1/M2) users:

Need Help?

We're happy to help you get up and running!