Computer Vision - MAIBI

This repository contains the notebooks for the course of Computer Vision, given at the master AI for Business and Industry.

Setting up VSC OnDemand

• Browse to https://ondemand.hpc.kuleuven.be/ and log in
• Click on Login Server Shell Access
• Test if Conda is installed by running conda --version. If this runs without an error message containing something like command not found, Conda is installed.
• If you do get a command not found error, you can install Conda as follows:

wget https://repo.anaconda.com/miniconda/Miniconda3-py310_24.1.2-0-Linux-x86_64.sh
bash Miniconda3-py310_24.1.2-0-Linux-x86_64.sh -b -p $VSC_DATA/miniconda3
echo 'export PATH="${VSC_DATA}/miniconda3/bin:${PATH}"' >> ~/.bashrc
source ~/.bashrc

• Run the following commands:

cd $VSC_DATA
git clone https://github.com/florisdf/maibi_cv.git
cd maibi_cv
conda create -n maibi_cv python=3.10
source activate maibi_cv
pip install -r requirements.txt --no-cache-dir
python -m ipykernel install --prefix=${VSC_HOME}/.local --name maibi_cv

• Go back to https://ondemand.hpc.kuleuven.be/
• Click on Jupyter Lab
• Fill in the fields:
  • Partition: interactive
  • Number of hours: 4 (can have a value up to 16)
  • Number of nodes: 1
  • Required memory per core in megabytes: 3400
  • The Number of cores and Number of gpu's depend on the notebooks you'll be running. For simple notebooks, 1 core will suffice and you won't need any GPUs. For notebooks in which we you train a neural network, try 4 cores and 1 GPU.
• Click Launch
• Once Jupyter is running, click Connect to Jupyter Lab

Getting started on your own pc

Install Python and pip

If this is not yes installed, see https://www.python.org/downloads/ for instructions.

Also, make sure pip is installed. See https://pip.pypa.io/en/stable/installation/ for details.

Set up the virtual environment

Open a terminal window and clone this repository

git clone https://github.com/florisdf/maibi_cv.git

Change the directory of your terminal to move into the repository.

cd maibi_cv

Create a new virtual environment.

python -m venv .venv

Activate the environment you just created:

source .venv/bin/activate

Also, make sure pip has the most recent version.

pip install --upgrade pip

Finally, install the requirements into the virtual environment.

pip install -r requirements.txt

Open Jupyter Notebook

Run the following command in your terminal. Make sure that:

1. You are in the directory of this repository (so in the directory called maibi_cv).
2. You have activated the virtual environment with source .venv/bin/activate.

jupyter notebook