Recipes to build conda packages can be found here.

Follow theses instruction to build conda packages.

:::warning Conda packages should be built from the base environment.

conda activate base

:::

Requirements

Install conda-build:

Install conda-build, in the base environment, to be able to build conda package:

conda install conda-build

WARNING: For macOS, follow these instructions to install the required macOS 10.9 SDK.

Optional - Install anaconda-client:

To be able to upload your package on anaconda cloud you need to install anaconda-client:

conda install anaconda-client

Build conda packages:

Build lettucethink:

Using the given recipe, it is easy to build the lettucethink-python conda package:

cd conda_recipes/
conda build lettucethink/ --user romi-eu

Build romidata:

Using the given recipe, it is easy to build the romidata conda package:

cd conda_recipes/
conda build romidata/ -c romi-eu -c open3d-admin --user romi-eu

Build romiscan:

Using the given recipe, it is easy to build the romiscan conda package:

cd conda_recipes/
conda build romiscan/ -c romi-eu -c conda-forge -c open3d-admin --user romi-eu

Build romi-plantviz:

Using the given recipe, it is easy to build the romi-plantviz conda package:

cd conda_recipes/
conda build romi-plantviz/ -c romi-eu -c conda-forge --user romi-eu

Optional - Build dirsync package:

To build dirsync you have to install hgsvn:

sudo apt install hgsvn

Using the given recipe, it is easy to build the dirsync conda package:

cd conda_recipes
conda build dirsync/recipe/ --user romi-eu

Optional - Build opencv-python package:

To build opencv-python you have to install qt4-qmake:

sudo apt install qt4-qmake qt4-default

Using the given recipe, it is easy to build the opencv-python conda package:

cd conda_recipes
conda build opencv-python/ -c conda-forge --user romi-eu

Conda useful commands:

Purge built packages: 

conda build purge

Clean cache & unused packages: 

conda clean --all