Then it's just a matter of running the shell script.

Python ~/repos/metashape/python/metashape_workflow.py ~/projects/forest_structure/metashape_configs/config003.yml Python ~/repos/metashape/python/metashape_workflow.py ~/projects/forest_structure/metashape_configs/config002.yml Python ~/repos/metashape/python/metashape_workflow.py ~/projects/forest_structure/metashape_configs/config001.yml The shell script might look like the following (note the only thing that changes is the name of the config file): The calls can be combined into a shell script. Running workflows in batch (i.e., multiple workflows in series) on a single computer is as simple as creating configuration file for each workflow run and calling the Python workflow script once for each. Running workflow batches in serial on a single computer

The run name and output directories are specified in the configuration file. After intalling miniconda, you will need to install additional packages required by our scripts (currently only PyYAML) using pip install _abc.xyz. Alternative option: If you want a minimal python installation (such as if you're installing on a computing cluster), you can install miniconda instead. If it doesn't, you may still need to initialize your Conda install. A way to check is to simply enter python at your command prompt and see if the resulting header info includes Anaconda and Python 3. Anaconda must be initialized upon install such that python can be called from the command line. When installing, if asked whether the installer should initialize Anaconda3, say 'yes'.

We recommend the Anaconda distribution because it includes all the required libraries. ‼️ Easy, reproducible Metashape workflowsĪ tool to make it easy to run reproducible, automated, documented Metashape photogrammetry workflows in batch on individual computers or as parallel jobs on a compute cluster. This repository is no longer actively maintained.

‼️ NOTE: Active development is now happening at.

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