huh, I've never used Caffe but wrapping my venvs with pipenv has never caused me this kind of grief.

I tell pipenv to store venv stuff in the project folder (`export PIPENV_VENV_IN_PROJECT=1`), and then do the following to start a new project:

    pipenv --python 3.7
    pipenv install ipykernel
    pipenv run python -m ipykernel install --user --name=`basename $(pipenv run dirname '$VIRTUAL_ENV')
    jupyter lab

(all the magic is in that third command)

Then in the list of kernels, in addition to the usual suspects I'll have one named for the folder I ran the above in. If I started a notebook before all that, I'll have to change it's kernel. Doing more `pipenv install` at the prompt makes new packages immediately available in the running notebook.