Conda

Recipes to build conda packages can be found here.

Follow these instructions 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 plantdb:

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

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

Build plant3dvision:

Using the given recipe, it is easy to build the plant3dvision conda package:

cd conda_recipes/
conda build plant3dvision/ -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