Badger Vision 🐼

Extract concepts and tags from images using badger vision. It's a wrapper around the Places365 project allowing you to understand what landscape information is available a given images

Add this line to your application's Gemfile:

gem 'badger_vision'

And then execute:

$ bundle

Or install it yourself as:

$ gem install badger_vision

You always need to pass a URL of the image to the service.

url = 'https://www.telegraph.co.uk/content/dam/Travel/Destinations/Asia/Maldives/Maldives%20lead-xlarge.jpg'
response = BadgerVision::Client.image_information(url)

Your response has the following methods:

response.attributes
#=> ['natural light', 'open area', 'man-made', 'sunny', 'clouds', 'far-away horizon', 'swimming', 'boating', 'diving']

response.type
#=> 'outdoor'

scenes = info.scenes

scenes.first.name
#=> 'lagoon'

scenes.first.probability
#=> 0.299

After checking out the repo, run bin/setup to install dependencies. Then, run rake spec to run the tests. You can also run bin/console for an interactive prompt that will allow you to experiment.

To install this gem onto your local machine, run bundle exec rake install. To release a new version, update the version number in version.rb, and then run bundle exec rake release, which will create a git tag for the version, push git commits and tags, and push the .gem file to rubygems.org.

Bug reports and pull requests are welcome on GitHub at https://github.com/Hendricius/badger_vision.