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:
And then execute:
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.