Iso files need git lfs installed to be fetch cf. git lfs
Rederbro is the name we gave to our backpack, this backpack takes spherical pictures using 6 cameras and is also equiped with a GPS and compass.
Pictures are saved on the 6 cameras SD cards and GPS/compass (we will call them RederbroMeta) are saved in a CSV file. Note that the cameras doesn't have their own batteries they are connected on a central battery that not always plugged in, this mean they can loose their dates and time.
It's really long to manually copy all pictures from SD card and organize them. Also to make spherical pictures we need to group the pictures and associate the correct RederbroMeta to a set of 6 images. Camera syncrhonization is suppose to be good, but sometimes some cameras may fail (and not take all pictures). Date and times on the RederbroMeta is also not always occurate (in absolute value) as the backpack isn't always on power supply.
What we have is relative timings on the camera pictures exif data and in the CSV file, we also know that most of the time pictures and RederbroMeta are taken saved correctly. For that we made an algorithm to maximise the matches and generate set of 6 images matched with RederbroMeta. A set of 6 images with the RederbroMeta is called a Lot.
All generated Lot are then saved in database using our API, pictures are saved using our DirectoryManager (more details about our infrastructure and containers deployment script are here).
We use udiskctl to mount and umount devices :
apt install udisks2You should use a virtualenv.
python setup.py install or, if you're developing on it, python setup.py develop
You don't want to manipulate cards as it takes times, that's why we made a script that will listen on new plugged devices and copy DCIM folders from all configured camera SD cards, even if they are all plugged at the same time. For Open Path View, we use an USB3.0 hub to plug our 6 SD cards at the same time after the import script is launched.
opv-sd-copier -h # for full details
opv-sd-copier /tmp/import_cameras_outputIf you are using gnome, be sure to disable gnome auto-mount feature using this command :
gsettings set org.gnome.desktop.media-handling automount false
# to ensable it back
# gsettings set org.gnome.desktop.media-handling automount trueNow you have your images (and maybe a CSV file with RederbroMeta), you can launch the following command to make lots. All lots will be associated to a campaign in the database, you can specify the name, description and id_rederbro of the campaign.
opv-make-lot -h # for full details
opv-make-lot /tmp/import_cameras_output --csv-path=picturesInfocsv --campaign-name="After refacto"This commands may take some times, don't worry. You might need to configure the APIs endpoints, see opv-make-lot -h to see the options.
Each camera has an SD card. To know who is who when importing we needed to know from which camera comes an SD card to
do so we add a configuration file to the camera a file named APN_config.json.
We made an utility to do that, simply run opv-sd-configurer an insert your cards, you will be asked for each card
to enter it's apn_number (apn number must start at 0, for us it's from 0 to 5 as we have 6 cameras).
After data are copied, we needed an easy and efficient way of cleaning the SD cards. We made a script that will burn an iso (disk image) on all plugged (and configured) devices. This disk image represent an SD card just after we format it in the camera. Camera sometimes add some data on the SD card after formating it that why we prefer tu burn a clean image (build by the camera) and we don't use FAT32 formating tool (see below how you can make the disk image).
When you have the image simply run (if you have 6 devices, script will stop after they are cleaned) :
opv-sd-cleaner iso/goPro.iso --number-of-devices=6SD cards for GoPro cameras needs to be well formated. The only way to do that is to format an SD card in a GoPro camera an copy it's partition table. To do so :
- format your SD card in a GoPro camera
- Make an ISO :
sudo dd if=/dev/sdb of=imgGoPro.img bs=10M count=1
Copyright (C) 2018 Open Path View
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