🚀 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:
Option 1: Download the Executable (Recommended for Beginners)¶
No programming required
- Visit our OSF project page
- Download and unzip the file:
DL_Track_US_example.zip
- Inside the unzipped folder, open:
DL_Track_US_example/executable/DL_Track_US.exe
- Double-click the file to launch the DL_Track_US GUI
🎯 You can now test the app using the provided example files.
Check our Tutorial and Testing sections for more.
⚠️ You might see a warning from your antivirus software. You can safely dismiss it, this app is secure and verified.
Option 2: Install via pip and GitHub (Recommended for Developers)¶
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¶
Step 3 - Install DL_Track_US¶
Windows users:¶
MacOS users:¶
- Download the repo or just the
requirements.txt
file from
GitHub - Navigate to the folder where
requirements.txt
is located:
- Install dependencies and the package:
Step 4 - Start the DL_Track_US GUI¶
You have two options:
Option A From the installed package:¶
Option B From the cloned repository:¶
Optional: GPU Setup for Faster Inference¶
For Windows/NVIDIA users:
- Install NVIDIA GPU drivers
- Download:
- CUDA 11.2
- cuDNN 8.5
- Follow this video tutorial (minutes 9-13)
For Mac (M1/M2) users:
- Follow this Apple Silicon TensorFlow guide for optional GPU support
Need Help?¶
- Visit the DL_Track_US Q&A on GitHub
- Tag your post with Problem
- Attach screenshots or logs if possible
We're happy to help you get up and running!