Installation¶
Download¶
You can download pysegcnn
from this repository’s
website
or alternatively use git
from terminal:
git clone https://gitlab.inf.unibz.it/REMSEN/ccisnow/pysegcnn.git
This creates a copy of the repository in your current directory on the file system.
Conda package manager¶
To install pysegcnn
, I recommend to use the conda
package manager.
You can download conda
here.
Once successfully installed conda
, I recommend to add conda-forge
as
your default channel:
conda config --add channels conda-forge
Conda environment¶
To install pysegcnn
, I recommend to create a specific conda
environment,
by using the provided environment.yml
file. In a terminal, navigate to the
cloned git repositories root directory and type:
conda env create -f environment.yml
This may take a while. The above command creates a conda environment with all
required dependencies except the pytorch
package. The first line in
environment.yml
defines the environment name, in this case pysegcnn
.
Activate your environment using:
conda activate pysegcnn
Install PyTorch¶
The installation of pytorch
is heavily dependent on the hardware of your
machine. Therefore, after activating your environment, install the version of
PyTorch that your system supports by following the
official instructions.
If you have to build pytorch
from source, follow this
guide.
To verify the installation, run some sample PyTorch code.
Install PySegCNN¶
To finally install pysegcnn
run the below command from this repositories
root directory within the activated ``pysegcnn`` conda environment:
pip install -e .
If successful, you should be able to import pysegcnn
from any Python
interpreter using:
import pysegcnn