Course Content

Environment Setup

Before we begin building models, we need to set up the necessary software tools to train and deploy ML models on our hardware.

1. Prerequisites

2. OS-Specific Configuration

Select your operating system below to see specific installation instructions.

Windows Installation
Method 1: Automatic Script (Recommended)
  1. Clone the repository: 
    git clone https://github.com/DeKUT-DSAIL/dsail-tech4wildlife.git
  2. Run install.bat with administrative privileges.
Method 2: Manual Installation
  1. Clone the repository as shown above.
  2. Install Edge Impulse CLI:
    • Install Node.js (v18+). Ensure you check "Tools for Native Modules".
    • Install Python 3.10.
    • Run: 
      npm install -g edge-impulse-cli --force
  3. Install Arduino CLI:
    • Open PowerShell as Administrator and run: 
      choco install arduino-cli
      (Requires Chocolatey)
  4. Set up Python Environment: 
    pip install virtualenv
python -m virtualenv dsail-tech4wildlife
.\dsail-tech4wildlife\Scripts\activate
pip install -r requirements.txt
Linux Installation
Method 1: Automatic Script (Recommended)
  1. Clone the repository: 
    git clone https://github.com/DeKUT-DSAIL/dsail-tech4wildlife.git
  2. Run the install script: 
    sudo bash install.sh
Method 2: Manual Installation
  1. Clone the repository as shown above.
  2. Install Node.js: 
    curl -fsSL https://deb.nodesource.com/setup_18.x | sudo -E bash -
sudo apt-get install -y nodejs
  3. Install Edge Impulse CLI: 
    npm install -g edge-impulse-cli
  4. Install Arduino CLI using Snap: 
    sudo apt install snapd
snap install arduino-cli
  5. Set up Python Environment: 
    pip install virtualenv
python3 -m virtualenv dsail-tech4wildlife
source dsail-tech4wildlife/bin/activate
pip install -r requirements.txt
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