This extractor converts PLY 3D point cloud files into LAS files.
The Dockerfile included in this directory can be used to launch this Transformer in a container.
Below is a sample command line that shows how the .ply to .las file converter Docker image could be run. An explanation of the command line options used follows. Be sure to read up on the docker run command line for more information.
docker run --rm --mount "src=/home/test,target=/mnt,type=bind" agpipeline/ply2las:2.1 --working_space "/mnt" --metadata "/mnt/08f445ef-b8f9-421a-acf1-8b8c206c1bb8_metadata_cleaned.json" /mnt/3c807fe1-a5ba-4b4b-b618-1d2c9c981678__Top-heading-east_0.ply
This example command line assumes the source files are located in the /home/test
folder of the local machine.
The name of the image to run is agpipeline/ply2las:2.1
.
We are using the same folder for the source files and the output files.
By using multiple --mount
options, the source and output files can be separated.
Docker commands
Everything between 'docker' and the name of the image are docker commands.
run
indicates we want to run an image--rm
automatically delete the image instance after it's run--mount "src=/home/test,target=/mnt,type=bind"
mounts the/home/test
folder to the/mnt
folder of the running image
We mount the /home/test
folder to the running image to make files available to the software in the image.
Image's commands
The command line parameters after the image name are passed to the software inside the image.
Note that the paths provided are relative to the running image (see the --mount option specified above).
--working_space "/mnt"
specifies the folder to use as a workspace--metadata "/mnt/08f445ef-b8f9-421a-acf1-8b8c206c1bb8_metadata.cleaned.json"
is the name of the source metadata to use/mnt/3c807fe1-a5ba-4b4b-b618-1d2c9c981678__Top-heading-east_0.ply
is the name of the ply file to convert