MPV python assignment templates
Using this repo
The recommended way of using the templates is as follows.
First, you clone the repository:
git clone Then, you create a new branch for your solutions:
cd mpv-python-assignment-templates
git checkout -b solutionsAfter that, you can work on your solutions, commiting as necessary.
In order to update the template, commit all your work and execute:
# download the new template version:
git checkout master
git pull
# and update your solutions branch:
git checkout solutions
git merge masterYou can create conda environment with all required packages via
cd conda_env_yaml
# For CPU-only setup run
conda env create -f environment-cpu.yml
# if you have CUDA GPU card use instead
conda env create -f environment-gpu.ymlIf way above does not work for you (e.g. you are on Windows), try the following for CPU:
conda create --name mpv-assignments-cpu-only python=3.6
conda activate mpv-assignments-cpu-only
conda install pytorch torchvision cpuonly -c pytorch
pip install kornia tqdm notebook matplotlib opencv-contrib-python seaborn tensorboard tensorboardX
conda install -c conda-forge widgetsnbextension
conda install -c conda-forge ipywidgetsAnd following for GPU:
conda create --name mpv-assignments-gpu python=3.6
conda activate mpv-assignments-gpu
conda install pytorch torchvision cudatoolkit=10.1 -c pytorch
pip install kornia tqdm notebook matplotlib opencv-contrib-python seaborn tensorboard tensorboardX
conda install -c conda-forge widgetsnbextension
conda install -c conda-forge ipywidgetsKeep in mind that the assignments and the assignment templates will be updated during the semester. Always pull the current template version before starting to work on an assignment!