CS131 Computer Vision: Foundations and Applications

How to submit your assignments?

After you have completed each assignment, you need to submit the following deliverables:

• hw*.pdf - Export the hw*.ipynb ipython notebook as a PDF and submit it to the Gradescope site under the assignment called Homework * PDF . In order to export notebook as a PDF, you will need to install additional libraries .
• hw*.ipynb, *.py - All the python files we ask you to code up must be submitted to Gradescope as well under the assignment called Homework * Code .
• If you experience errors with the Gradescope site and are about to miss the deadline for submitting the assignment, then attach your completed assignment to a private Piazza post with the subject [CS131-HW* submission] so that we have a record of your work.

How to start working on an assignment?

Before working on each homework, you need to setup a few things:

Installing Python 3.6+: To use python3, make sure to install version 3.6+ on your local machine. If you are on Mac OS X, you can do this using Homebrew with brew install https://raw.githubusercontent.com/Homebrew/homebrew-core/f2a764ef944b1080be64bd88dca9a1d80130c558/Formula/python.rb . You can find instructions for Ubuntu here .

Setting up a virtual environment: we strongly recommend working using a single virtual environment for all homeworks. This will allow you to have a working environment with all the package dependencies within the repository of your homework, without messing up your work environment in other repositories.

All necessary dependencies for your CS131 homeworks can be found in a single requirements.txt file, which has been placed at the root of the homework release repository.

To set up a virtual environment with name .env , run the following inside your homework directory (ex: inside cs131/ ):

sudo pip install virtualenv        # You will need to do this only once
virtualenv -p python3 .env         # Creates a virtual environment with python3
source .env/bin/activate           # Activate the virtual environment
pip install -r requirements.txt    # Install all the dependencies
# Work on the assignement for a while...
deactivate                         # Exit the virtual environment when you're done

Note that every time you want to work on the assignment, you should run source .env/bin/activate (from within your assignment folder) to re-activate the virtual environment, and deactivate again whenever you are done.

Working with Jupyter notebooks : in your assignment repository, start the notebook with the jupyter notebook command. You might have issues if you are in a virtual environment, as the notebook might not recognize your virtual environment and might not find the kernel located in .env to execute code. In this case, refer to this page and do the following within your virtual environment:

python -m ipykernel install --user --name=my-virtualenv-name

If you are unfamiliar with Jupyter notebooks, you can also refer this IPython tutorial .

When working with a Jupyter notebook, you can edit the *.py files either in the Jupyter interface (in your browser) or with your favorite editor (vim, Atom...). Whenever you save a *.py file, the notebook will reload their content directly.

Collaboration Policy

• Study groups are allowed but we expect students to understand and complete their own assignments and to hand in one assignment per student.
• If you worked in a group, please put the names of your study group on your assignment on top.
• Finally, we expect students to not look at implementations online. Just like all other classes at Stanford, we take the student Honor Code seriously.