Note - lcopt-cv requires the lcopt and brightway2 packages to be installed, and for lcopt to be set up with ecoinvent 3.3 cutoff
The best way to install lcopt-cv is to use the conda package. The command is:
conda install -y -q -c conda-forge -c cmutel -c haasad -c pjamesjoyce lcopt-cv
One additional dependency isn’t available as a conda package and needs to be installed separately using pip. Here is the command:
pip install opencv-python
If you already had lcopt installed and set up - that’s it. If not you need to set up lcopt to talk to brightway.
Full instructions on how to do this are in the lcopt documentation
The short version is
Download the file called ecoinvent 3.3_cutoff_ecoSpold02.7z from the ecoinvent website
Unzip the file using 7zip and make a note of the path of the datasets folder
Run the following command:
lcopt-bw2-setup path/to/ecospold/files # use "" if there are spaces in your path
This will generate the lcopt template databases in brightway2 so that you can analyse your LCA models.