Computer Vision Course

Internkurs i Computer Vision - BRAIN NTNU 2020

Setup

Code

1. See course Github-repository: Computer Vision Course Repository
2. Clone repository: git clone https://github.com/BRAIN-NTNU/computer-vision-course.git
3. Open cloned directory: cd computer-vision-course

Install Jupyter Notebook

We are using Jupyter Notebook for our course:

Download Jupyter Notebook (official tutorial here):

1. Install with pip: pip install notebook
2. Verify successful installation with: jupyter notebook
3. End session: Press cmd+C on Mac, or ctrl+C on Windows.

Setup Python environment

We use virtualenv is to manage Python packages for different projects. Using virtualenv allows you to avoid installing Python packages globally which could break system tools or other projects. You can also just install the packages specified in the requirements.txt globally if you want. Assuming Python 3 already installed. Use pip or pip3 for the commands below, depending on your local environment.

1. Install virtualenv, if not already installed: pip install virtualenv
2. Create new environment in computer-vision-course/: virtualenv venv
3. Activate new environment: source venv/bin/activate on Mac, or equivalently venv\Scripts\activate.bat on Windows.
4. Install packages that is needed for course: pip install -r requirements.txt
5. Add new virtual environment to Jupyter: python -m ipykernel install --user --name=venv.
6. Start jupyter notebook: jupyter notebook
7. Open [For Participants]-notebook.
8. Change kernel to venv: Select venv under Kernel > Change kernel > venv, from the top menu bar

If you want to remove the virtual environment after the course delete our venv using: rm -rf venv/ and remove from Jupyter: jupyter kernelspec uninstall venv.