Update ada-training-commands.sh

docs/ada-training-commands.sh

@@ -1,36 +1,60 @@
+## Setup
 # go do the resource group ada-training
 https://portal.azure.com/#@rodekruis.onmicrosoft.com/resource/subscriptions/b2d243bd-7fab-4a8a-8261-a725ee0e3b47/resourcegroups/510global-ada-training
 
-# Start your VM
+# Start your VM (change the name at the end of the url to your name)
 https://portal.azure.com/#@rodekruis.onmicrosoft.com/resource/subscriptions/b2d243bd-7fab-4a8a-8261-a725ee0e3b47/resourceGroups/510global-ada-training/providers/Microsoft.Compute/virtualMachines/NC4as-T4-V3-Bouke
 
-# Connect > Connect via Bastion
+# Connect to the VM:
+1. navigate to bastion
+2. enter credentials from bitwarden
+3. connection to the vm will now open \in another browser tab. Make sure pop-ups are not blocked by your browser
 
-# mount the datalake storage
+# mount the datalake storage (let's look into blobfuse2)
 sudo blobfuse training-data --tmp-path=/mnt/resource/blobfusetmp  --config-file=blobfuse/fuse_connection_adatraining.cfg -o attr_timeout=240 -o entry_timeout=240 -o negative_timeout=120 -o allow_other
 
-# in this training, we prepared the images for you in the directory ~/training-data/hurricane-dorian.
-# In real life, you need to manually upload them to the datalake (divided in pre- and post-event) OR download them from Maxar open data
+# have a look at the data
+1. run `ls`
+2. the training-data folder should now be highlighted
+3. run `cd training-data`
+4. run 'ls'
+5. all datat in the datalake storage is now available within the vm
+
+## Getting Images
+# Next step would be to check if there are satellite images available that cover the relevant area, pre and post images overlap and that are of sufficient quality. 
+# This can be quiet a hassle since we are working with big files here. Downloading the images and visualizing them in QGIS is a lot of work!! (is there a QGIS plugin to directly connect to Azure Blob Storage)?
+# Have a good look at the file names of the sattelite images, they often correspond to geographical areas and can already tell you which pre and post images might overlap.
+# Again, take into account that this might actually take some time.
+
+# A common source for good satellite images would be Maxar. If they have images available, the first step would be to manually upload them to the datalake (divided in pre- and post-event) OR download them from Maxar open data
 # 1. go to https://www.maxar.com/open-data
 # 2. browse to the relevant event
 # 3. copy the name of the event from the URL (e.g. "typhoon-mangkhut" from https://www.maxar.com/open-data/typhoon-mangkhut)
 # 4. download the images with 
-# load-images --disaster typhoon-mangkhut --dest ~/training-data/typhoon-mangkhut
+# `load-images --disaster typhoon-mangkhut --dest ~/training-data/typhoon-mangkhut`
+# 5. The images are now uploaded to the datalake storage which is mounted to the VM
+# 6. Usually the next step would be to inspect the images as described above. For now we have already prepared images of good quality. :):)
 
-# copy images on the VM (processing is faster locally)
+# Then copy images from the datalake storage to the VM (processing is faster locally)
 cp -r ~/training-data/hurricane-dorian ~/hurricane-dorian
 
-# download the images from the datalake to your local machine, visualize them with QGIS and check if OpenStreetMap (OSM) is good enough;
-# if yes, download OSM buildings with
-cd ~/hurricane-dorian
-get-osm-buildings --raster pre-event/1050010012BCAE00-pre-clipped.tif
+## Getting building footprints
+# If you haven't already, download the images from the datalake to your local machine. 
+# Visualize them with QGIS and check if OpenStreetMap (OSM) buildings are good enough;
+# 1. ...
+# 2. ...
+
+# If OSM buildings are good enough, download OSM buildings with
+# 1. navigate to hurrican dorian folder: `cd ~/hurricane-dorian`
+# 2. run `get-osm-buildings --raster pre-event/1050010012BCAE00-pre-clipped.tif`
 
 # if not, check Google buildings
 # https://sites.research.google/open-buildings/#download
 
 # if not, check Microsoft buildings
 # https://github.com/microsoft/GlobalMLBuildingFootprints/blob/main/examples/example_building_footprints.ipynb
 
+## Run ADA
 # prepare data for caladrius (damage classification model)
 cd ~/hurricane-dorian
 prepare-data --data . --buildings buildings.geojson --dest caladrius
@@ -45,3 +69,13 @@ final-layer --builds buildings.geojson --damage caladrius/runs/run-input_size_32
 
 # copy it back on the datalake, download it locally and visualize it with QGIS
 cp buildings-predictions.geojson ~/training-data/hurricane-dorian/
+
+## Optionally: create map
+
+
+## Shut down
+# unmount the datalake storage
+sudo fusermount -u training-data
+
+## Final notes
+# We have run everything on a VM now. .... Can also use Azure Batch ....