
- Cellprofiler custom script for mac#
- Cellprofiler custom script install#
- Cellprofiler custom script update#
- Cellprofiler custom script software#
- Cellprofiler custom script code#
Cellprofiler custom script update#
If the installation of javabridge fails with AttributeError: 'NoneType' object has no attribute 'rfind', activate the conda environment (see below) to set JAVA_HOME and run conda env update -f environment.yml to complete the package installation. If packages cannot be resolved, adding conda-forge to the bottom (lowest priority) of the channel list might make the packages available to conda. Then, create the environment with this command, conda env create -f environment.yml. This can be achieved by adding daf to the bottom (lowest priority) of the channels list and replacing wxpython with wxpython=3.0.2.0.įrom a command line, cd to the directory that contains the environment file. Mac and Linux users will need to use wxpython=3.0.2.0 from the daf channel.Save the above text in a text file with a name such as environment.yml. # - BjornFJohansson # wxpython for linux not longer available # in order of priority: highest (top) to lowest (bottom)

# run: conda env update -f environment.yml Here is an example of an environment file for running the CellProfiler master branch: # run: conda env create -f environment.yml

Environment FilesĮnvironment files describe a coding environment in YAML. It may be well advised to check that a compiler like gcc, the command git and a newer version of OpenJDK (version 8 is good) are available. Usually no additional packages are required, as git and the compilers are usually part of the base distro.
Cellprofiler custom script for mac#
Cellprofiler custom script install#
Cellprofiler custom script code#
For instance, environments can be created for the branches of CellProfiler, so these branches of CellProfiler will run independently of each other just like how git keeps the code branches separated for writing code.ĬellProfiler currently runs on Python 2.7, so please to be sure to use Conda for Python 2, not Python 3. This isolation prevents conflict between packages with the same name, which is common when working with different versions of the same package. running CellProfiler from source, and isolates them from other Conda environments. These environments organize a collection of packages for a particular programming purpose, e.g. Conda also manages programming environments in a manner similar to virtualenv or pyenv.
Cellprofiler custom script software#
Introduction to CondaĬonda is a package manager that can simplify and self-document the installation of python software from source.

Please take care when following below instructions when installing a HEAD development revision, as it may reference Python 3 already. This is not yet reflected in the instructions below because Python 3 is still a moving target and not available in an official release. Important notesĪs of 10/2019, CellProfiler is in a transition from Python 2 to Python 3. If you are installing CellProfiler on OS X or Linux and are not already an Anaconda/Miniconda user, please first refer to the pages for your operating system for instructions on installing CellProfiler using pip. Please check out the image.sc forum or our Github issues (and submit new issues as needed) if these instructions fail to work for you. Instructions for CellProfiler 4.0 installation will be added shortly for all compatible platforms. name: cp4ĬellProfiler 3 The instructions below apply to CellProfiler 3.1.9 and earlier versions. We have been told by users that the following yaml file works to install CellProfiler 4.2.4 as of August 2022. Installation is Conda is largely untested across different environments. In general, we advise users to install CellProfiler using pip instead of conda.
