Tested on Ubuntu 12.04, 14.04 and 16.04, all with 2GB RAM.
Inselect runs on Python 3.4 or later and OpenCV 3.
While Ubuntu provides a deb package for Python 3, it does not provide
(at time of writing) a deb package of Python 3 bindings for OpenCV.
For these reasons, and to provide a consistent environment among distributions,
we recommend using
Continuum's Miniconda as shown below.
To run Inselect with system packages, you will need to compile OpenCV.
wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O /tmp/Miniconda3-latest-Linux-x86_64.sh
bash /tmp/Miniconda3-latest-Linux-x86_64.sh -b -p $HOME/miniconda3
rm /tmp/Miniconda3-latest-Linux-x86_64.sh
export PATH=~/miniconda3/bin:$PATH
conda update --yes conda
conda env create -f inselect.yml
source activate inselect
pip install -r requirements.pip
Inselect has optional barcode reading capabilities. The dependent libraries can be installed with
sudo apt-get install libzbar-dev libdmtx0a
Test
python -c "from gouda.engines import ZbarEngine; print(ZbarEngine.available())"
python -c "from gouda.engines import LibDMTXEngine; print(LibDMTXEngine.available())"
Icons are stored as individual files in icons. They are frozen into
a python file inselect/gui/icons.py by running
pyrcc5 icons.qrc > inselect/gui/icons.py
nosetests --verbose --with-coverage --cover-inclusive --cover-tests --cover-package=inselect inselect
Ubuntu 16.04 appears to come with nose already installed so the
pip2 install -r requirements.pip step above will not install nose within
the virtual env. nosetests will not find the packages within the
virtualenv and you will see lots of ImportErrors. If this is the case, run
python -m nose --verbose --with-coverage --cover-inclusive --cover-tests --cover-package=inselect inselect
Run inselect
python -m inselect.scripts.inselect