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AGISOFT METASHAPE CRACK INSTALL
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Metashape requires this information in a very specific format, so this repository includes an R script to assist in producing the necessary files based on more human-readable input. The process of preparing GCPs involves recording (a) the geospatial location of the GCPs on the earth and (b) the location of the GCPs within the photos in which they appear. Preparing ground-control points (GCPs)īecause the workflow implemented here is completely GUI-free, it is necessary to prepare GCPs in advance. You can also put multiple sbatch commands into a shell script so that you only have to run the shell script. Once you have submitted one job using the sbatch command, you can submit another so that they run in parallel (assuming your user group has sufficient resource allocation on farm).

The meanings of the sbatch parameters are explained in the linked resources above. Sbatch -p bigmemh -time=24:00:00 -job-name=MetaDemo -c 64 -mem=128G shell/farm_python.sh python/metashape_workflow.py config/example.yml Next you need to create a shell script that will set up the appropriate environment variables and then call python to execute the metashape_workflow.py file with a provided config file (save as farm_python.sh):

AGISOFT METASHAPE CRACK INSTALL

This is easiest if you first install Miniconda and install Metashape (along with PyYAML) there. You will need to install the Metashape python module into your user account on farm following the Setup instructions above (including the isntructions related to the Metashape license).

Additional resources for getting set up and running jobs on farm.

Basic instructions for running jobs on farm.

Basic farm overview and account creation information.

Example for the farm cluster (UC Davis College of Agricultural and Environmental Sciences) Submitting a job simply involves instructing the cluster to run the metashape_workflow.py script with the specified configuration file. Running Metashape workflow batches in parallel on a cluster is as simple as submitting multiple jobs to the cluster. Running workflow batches in parallel on a compute cluster 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.

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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.