Merge pull request #198 from sbonaime/publish

tutorial for ClusterODM, NodeODM, SLURM, with Singularity on HPC
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@ -117,7 +117,7 @@ In most of the cases a lawn mower flight pattern is capable of producing highly
.. figure:: images/lawnmower_pattern.png
:alt: a simple lawnmower flight pattern can produce accurate results
:align: center
Recommended overlap would be between 75% and 80% with a sidelap in the order of 65% to 70%. It is also recommended to slightly increase overlap and sidelap as the flight height is increased.
Flight height
@ -158,17 +158,17 @@ Measuring
As almost 50% of the material will be found in the first 20% of the stockpile height, special care should be taken in adequately defining the base plane.
.. figure:: images/stockpile.png
:alt: almost 50% of the material will be found in the first 20% of the stockpile height
:alt: almost 50% of the material will be found in the first 20% of the stockpile height
:align: center
In WebODM Dashboard, clic on "view map" to start a 2D view of your project.
In WebODM Dashboard, clic on "view map" to start a 2D view of your project.
Once in the 2D map view, clic on the "Measure volume, area and length" button.
.. figure:: images/measurement1.png
:alt: clic on the "Measure volume, area and length" button
:align: center
then clic on "Create a new measurement"
.. figure:: images/measurement2.png
@ -180,13 +180,13 @@ Start placing the points to define the stockpile base plane
.. figure:: images/measurement3.png
:alt: Define the stockpile base plane
:align: center
Clic on "Finish measurement" to finish the process.
.. figure:: images/measurement4.png
:alt: Clic on "Finish measurement" to finish the process
:align: center
Dialog box will show the message "Computing ..." for a few seconds, and after the computing is finished the volume measurement value will be displayed.
.. figure:: images/measurement7.png
@ -319,7 +319,7 @@ For latest ODM GPU Docker image
Using Singularity SIF image
===========================
Once you have used one of the above commands to download and create the `odm_latest.sif` image, it can be ran using singularity.
Once you have used one of the above commands to download and create the `odm_latest.sif` image, it can be ran using singularity.
Place your images in a directory named “images” (for example /my/project/images) , then simply run
..code:: bash
@ -386,7 +386,7 @@ Install
address of your server). If you want to follow this example
closely, *do* use the username ``odm``; then your install path
will be ``/home/odm/ODM/`` and will match all of the examples in
this document.
this document.
- Go ahead and execute ``sudo apt update`` and ``sudo apt upgrade`` to ensure
your server isnt dangerously without updates. Make sure to stay with
Ubuntu 18.04.
@ -455,7 +455,7 @@ Prep data and project
example, into the volume we attached to the cloud machine at
``/mnt/odmdata/``.
- This will take some bandwidth. No way around the size of the
files.\ `1 <#footnote1>`__, \ `2 <#footnote2>`__\
files.\ `1 <#footnote1>`__, \ `2 <#footnote2>`__\
Directory structure
^^^^^^^^^^^^^^^^^^^
@ -653,7 +653,7 @@ By default, Eye Dome-Lighting is enabled on Potree 3D viewer, but it can be disa
Background
----------
Potree 3D viewer background can be modified. Available options are **Skybox** / **Gradient** / **Black** / **White** / **None**
Potree 3D viewer background can be modified. Available options are **Skybox** / **Gradient** / **Black** / **White** / **None**
.. figure:: images/Background_animation.gif
:alt: Background selection
@ -687,7 +687,7 @@ Measurements are performed by left clicking on the desired points and for some t
**Angle**
This tool measures the tridimensional angle formed by the lines connecting 3 points.
This tool measures the tridimensional angle formed by the lines connecting 3 points.
To start a measurement, click on the angle icon, then left click on 3 point and the process will be automatically ended.
Further information can also be obtained from selecting this element under the scene section.
@ -839,7 +839,7 @@ To create an animation, adjust the points for the camera locations and camera di
Scene
=====
The Scene section displays a file tree containing all the scene elements.
The Scene section displays a file tree containing all the scene elements.
Elements are arranged in six groups, which are **Point clouds** / **Measurements** / **Annotations**
/ **Other** / **Vector** / **Images**
@ -853,3 +853,177 @@ For instance, point clouds properties can be modified to show elevation and also
`Learn to edit <https://github.com/opendronemap/docs#how-to-make-your-first-contribution>`_ and help improve `this page <https://github.com/OpenDroneMap/docs/blob/publish/source/tutorials.rst>`_!
***************************************************
ClusterODM, NodeODM, SLURM, with Singularity on HPC
***************************************************
Let's say that we will get ClusterODM and NodeODM images in the same folder
Downloading and installing the images
=====================================
In this example ClusterODM and NodeODM will be installed in $HOME/git
ClusterODM
----------
::
cd $HOME/git
git clone https://github.com/OpenDroneMap/ClusterODM
cd ClusterODM
singularity pull --force --disable-cache docker://opendronemap/clusterodm:latest
ClusterODM image needs to be "installed"
::
singularity shell --bind $PWD:/var/www clusterodm_latest.sif`
And then in the Singularity shell
::
cd /var/www
npm install --production
exit
NodeODM
-------
::
cd $HOME/git
git clone https://github.com/OpenDroneMap/NodeODM
cd NodeODMDM
singularity pull --force --disable-cache docker://opendronemap/nodeodm:latest
NodeODM image needs to be "installed"
::
singularity shell --bind $PWD:/var/www nodeodm_latest.sif
And then in the Singularity shell
::
cd /var/www
npm install --production
exit
Launching
=========
On two different terminals connected to the HPC , or with tmux (or screen...) a slurm script will start NodeODM instances.
Then ClusterODM could be started
NodeODM
-------
Create a nodeodm.slurm script in $HOME/git/NodeODM with
::
#!/usr/bin/bash
#source .bashrc
#SBATCH -J NodeODM
#SBATCH --partition=ncpulong,ncpu
#SBATCH --nodes=2
#SBATCH --mem=10G
#SBATCH --output logs_nodeodm-%j.out
cd $HOME/git/NodeODM
#Launched on first node
srun --nodes=1 singularity run --bind $PWD:/var/www nodeodm_latest.sif $
#Launch on second node
srun --nodes=1 singularity run --bind $PWD:/var/www nodeodm_latest.sif $
wait
start this script with
::
sbatch $HOME/git/NodeODM/nodeodm.slurm
logs of this script are written in $HOME/git/NodeODM/logs_nodeodm-XXX.out XXX is the slurm job number
ClusterODM
----------
Then you can start ClusterODM on the head node with
::
cd $HOME/git/ClusterODM
singularity run --bind $PWD:/var/www clusterodm_latest.sif
Connecting Nodes to ClusterODM
==============================
Use the following command to get the nodes names where NodeODM is running
::
squeue -u $USER
ex : squeue -u $USER
JOBID PARTITION NAME USER ST TIME NODES NODELIST(REASON)
1829323 ncpu NodeODM bonaime R 24:19 2 ncpu[015-016]
In this case, NodeODM run on ncpu015 and ncpu016
Web interface
-------------
ClusterODM administrative web interface could be used to wire NodeODMs to the ClusterODM.
Open another shell window in your local machine and tunnel them to the HPC using the following command:
::
ssh -L localhost:10000:localhost:10000 yourusername@hpc-address
Replace yourusername and hpc-address with your appropriate username and the hpc address.
Basically, this command will tunnel the port of the hpc to your local port.
After this, open a browser in your local machine and connect to http://localhost:10000.
Port 10000 is where ClusterODM's administrative web interface is hosted at.
Then NodeODMs could be add/deleted to ClusterODM
This is what it looks like :
.. figure:: images/clusterodm-admin-interface.png
:alt: Clusterodm admin interface
:align: center
telnet
------
You can connect to the ClusterODM CLI and wire the NodeODMs. For the previous example :
telnet localhost 8080
> NODE ADD ncpu015 3000
> NODE ADD ncpu016 3000
> NODE LIST
Using ClusterODM and its NodeODMs
=================================
Open another shell window in your local machine and tunnel them to the HPC using the following command:
::
ssh -L localhost:10000:localhost:10000 yourusername@hpc-address
Replace yourusername and hpc-address with your appropriate username and the hpc address.
After this, open a browser in your local machine and connect to http://localhost:3000 with your browser
Here, you can Assign Tasks and observe the tasks' processes.
.. figure:: images/clusterodm-user-interface.png
:alt: Clusterodm user interface
:align: center
After adding images in this browser, you can press Start Task and see ClusterODM assigning tasks to the nodes you have wired to. Go for a walk and check the progress.