README.md
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# Imagga
Client for Imagga image analytics services API
## Installation
Add this line to your application's Gemfile:
gem 'imagga'
And then execute:
$ bundle
Or install it yourself as:
$ gem install imagga
## Usage
Set up a client
client = Imagga::Client.new(
base_uri: '0.0.0.0', # IP of the Imagga server
api_key: '12345678', # Your api key
api_secret: '1234567890123456789' # Your api secret
)
Extract image information
results = client.extract('http://imagga.com/images/scheme_colors.png')
Extract image information with indexing and extraction options:
results = client.extract(
[
Imagga::Image.new(url: 'http://image1', id: '333'),
Imagga::Image.new(url: 'http://image2')
],
extract_overall_colors: true,
extract_object_colors: false
)
Check the results, for example:
results.each do |info| # iterate over all input image infos
puts info.object_percentage # percentage of the central object on image
info.image_colors.each do |color| # iterate over all significant colors
puts color.info # 85.89%, rgb: (246,246,246), hex: #f6f6f6
end
end
Multi-color search:
client.rank(
colors: [
Imagga::RankColor.new(percent: 100, r: 82, g: 37, b: 43) # use r g b values
Imagga::RankColor.new(percent: 100, hex: '#336699') # or use hex
],
type: 'object',
dist: 6000,
count: 10
).each do |similarity|
puts "Distance of #%i is %.4f" % [similarity.id, similarity.dist] # Distance of #333 is 3581.5500
end
Image crop suggestions:
client.crop(
[
'http://image1', # Use urls
Imagga::Image.new(url: 'http://image2') # or image object
],
resolutions: ['100x40','50x100'], # '100,40,50,100' or '100x40,50x100' instead of array would work also
no_scaling: true
).each do |crop_info|
puts crop_info.url
crop_info.croppings.each do |cropping|
puts cropping.info
end
end
## Contributors
martkaru
jprosevear
## Contributing
1. Fork it
2. Create your feature branch (`git checkout -b my-new-feature`)
3. Commit your changes (`git commit -am 'Add some feature'`)
4. Push to the branch (`git push origin my-new-feature`)
5. Create new Pull Request