02461 — E2024#
Looking for other years?
This guideline is for students attending course 02461 in the E2024 year.
The course requires:
A working Python (can be installed here)
A working VS Code (is installed by following these guides)
Choose one of these installation procedures:
Download the 02461.yml and install
it using this environment.yml guide.
This will create an environment named Environment(name='IntelligentSystems', channels=['pytorch', 'conda-forge', 'nodefaults'], dependencies=['python', 'pytorch', 'torchvision', 'torchaudio', 'matplotlib', 'opencv', 'imageio', 'scikit-learn', 'scikit-image', 'jupyter', 'pygame', 'scipy', 'nltk', 'ipywidgets', 'tqdm'], pip_dependencies=[]) that you should
activate when following the course.
We recommend you to create an environment for this course:
conda config --add channels conda-forge
conda create --name Environment(name='IntelligentSystems', channels=['pytorch', 'conda-forge', 'nodefaults'], dependencies=['python', 'pytorch', 'torchvision', 'torchaudio', 'matplotlib', 'opencv', 'imageio', 'scikit-learn', 'scikit-image', 'jupyter', 'pygame', 'scipy', 'nltk', 'ipywidgets', 'tqdm'], pip_dependencies=[])
Every time you need to run code in the course, you need to activate the environment:
conda activate Environment(name='IntelligentSystems', channels=['pytorch', 'conda-forge', 'nodefaults'], dependencies=['python', 'pytorch', 'torchvision', 'torchaudio', 'matplotlib', 'opencv', 'imageio', 'scikit-learn', 'scikit-image', 'jupyter', 'pygame', 'scipy', 'nltk', 'ipywidgets', 'tqdm'], pip_dependencies=[])
The required packages should be installed in the above environment, and can be done by executing these commands, one by one:
conda activate Environment(name='IntelligentSystems', channels=['pytorch', 'conda-forge', 'nodefaults'], dependencies=['python', 'pytorch', 'torchvision', 'torchaudio', 'matplotlib', 'opencv', 'imageio', 'scikit-learn', 'scikit-image', 'jupyter', 'pygame', 'scipy', 'nltk', 'ipywidgets', 'tqdm'], pip_dependencies=[])
conda config --env --add channels pytorch
conda install pytorch torchvision torchaudio matplotlib opencv imageio scikit-learn scikit-image jupyter pygame scipy nltk ipywidgets tqdm