1 Conda Virtual Environments

If you use conda for managing Python virtual environments, first you need to install either Miniconda or Anaconda.

1.1 Libmamba Solver

Conda's own solver is very slow, so I recommend using Libmamba. To use the new solver, first update conda in the base environment (optional step):

conda update -n base conda

Then install and activate Libmamba as the solver:

conda install -n base conda-libmamba-solver
conda config --set solver libmamba

Following YAML configuration files for Conda environments are available:

3d-computer-vision.yml
- Environment name: 3d-computer-vision
- Contains: pykitti, open3d, opencv, numpy etc.

You can create a new virtual environment as follows:

conda env create -f <NAME-OF-THE-FILE>

Once the environment has been created, you can activate it by executing the following command:

conda activate <NAME-OF-THE-ENVIRONMENT>