How to install Betanin on Ubuntu Server

Betanin is an open-source tool that provides an automated way to test and compare deep learning models. This tutorial will guide you through the process of installing Betanin on your Ubuntu server.

Step 1: Install Dependencies

Before installing Betanin, you need to install some dependencies. Open your terminal and execute the following commands:

sudo apt update
sudo apt upgrade
sudo apt install python3-pip
sudo apt install cmake libopenmpi-dev zlib1g-dev libgl1-mesa-glx libglib2.0-dev
sudo apt install libjpeg-dev libpng-dev libtiff-dev libavcodec-dev libavformat-dev libswscale-dev libv4l-dev libxvidcore-dev libx264-dev libgtk-3-dev libatlas-base-dev gfortran libhdf5-dev libopenblas-dev liblapack-dev

Step 2: Install Betanin

Next, we will install Betanin. Follow these steps:

1. Clone Betanin's GitHub repository using the git command:

git clone https://github.com/sentriz/betanin.git

2. Navigate to the Betanin directory:

cd betanin

3. Create a virtual environment for Betanin:

python3 -m venv env

4. Activate the virtual environment:

source env/bin/activate

5. Install Betanin using pip:

pip3 install -e .

Step 3: Test Betanin

Now that you have installed Betanin, you can test it to make sure it's working correctly. Follow these steps:

1. Download a dataset from a URL. For example:

wget https://storage.googleapis.com/download.tensorflow.org/example_images/flower_photos.tgz

2. Unpack the dataset:

tar xzf flower_photos.tgz

3. Run the following command to test Betanin with the dataset:

python3 betanin.py config.yaml --dataset_dir flower_photos

If Betanin is working correctly, it will begin comparing the different deep learning models within the dataset.

Conclusion

In this tutorial, you have learned how to install Betanin on your Ubuntu server. With Betanin, you can easily test and compare deep learning models.

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