fokion.blogg.se - Image tagger

#Image tagger install#
#Image tagger verification#

This feature is enabled and running automatically in Docker based deployments. If downloading zip files of Imagesets is desired, the feature can be enabled by settings IT_ENABLE_ZIP_DOWNLOAD to true.Ī separate zip generation daemon must then be started via the following command. To use this custom configuration class, the environment variables DJANGO_SETTINGS_MODULE=ttings_localĪnd DJANGO_CONFIGURATION=M圜ustomClass must be set. In Docker this file may be located at /app/config/settings.py so that If completely custom configuration is desired, imagetagger/imagetagger/settings_local.py can be created in whichĪ custom configuration class may be created. These are taken from environment variables where the key is the variable name This can be overridden via the environment variable DJANGO_CONFIGURATION.įor a list of available configuration values see settings.py.

ImageTagger is configured to use a Dev configuration when running locally and Prod when running in a container. ImageTagger is a Django application and uses django-configurations Where the application server stores its images (and tools).Ĭonfiguration of the application server. Per default this deployment references the image imagetagger:local which is probably not resolvable and should be replaced by a reference to where your previously built container image is available. Also available inside the application server deployment so that settings can be referenced.Īpplication server. Where the postgresql server stores its dataĬonfiguration of the postgresql server. The replica count can be dialed down to 0 if an the usage of an external server is desired. Postgresql server which is required by ImageTagger. The namespace in which each resource resides ImageTagger: An Open Source Online Platform for Collaborative Image Labeling. Please cite if you use this tool in your research:įIEDLER, Niklas, et al. This paper describes the Bit-Bots ImageTagger more in depth.

collections of filtered images from multiple imagesets.

#Image tagger verification#

image preloading for labeling and verification.

bounding box, polygon, line and point labeling.

This enables you to use already labeled images from other teams and to share your own.įor a short overview of the functions please have a look at the following poster:

#Image tagger install#

If you are participating in RoboCup, you should not install your own instance but rather use the one provided by the Hamburg Bit-Bots ( ). This is a collaborative online tool for labeling image data.