This repository contains the Jupyter notebooks and related files used in the Python programming exercise for the CS-E4850 - Computer Vision course at the Aalto University, including (1) the actual weekly homework assignments and (2) all test images. Please, see the notebooks for more details on e.g. submission guideline.
Clone the repository:
cd [your directory]
git clone https://github.com/AaltoVision/CV_course_py.git
Load/install anaconda2/3:
Aalto Linux workstations: module load anaconda2/3
Your home workstation: install e.g. miniconda https://conda.io/miniconda.html
Create a virtual environment for the course programming assignments:
conda create -n CV_course python=2/3 numpy scipy matplotlib scikit-image scikit-learn jupyter
source activate CV_course
pip install opencv-python
Start Jupyter and find the notebooks:
jupyter notebook
All notebooks and assignments should be Python 2/3 compatible.
For more information, or bug reporting, feel free to contact at juha.ylioinas@aalto.fi / santiago.cortes@aalto.fi.