designerpages / imagga

Client for Imagga image analytics services

Imagga

Client for Imagga image analytics services API

Note: images MUST be passed in as http and NOT https

Installation

Add this line to your application's Gemfile:

gem 'imagga', :git => 'git://github.com/designerpages/imagga.git', :branch => 'master' #client for imagga services like color extraction and categorization

And then execute:

$ bundle install

To install the original (NON-FORKED) verision one may do yourself as:

$ gem install imagga

Usage

Oringally to set up a client one did

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
)

but in the dp20 repository Rob added an initlizer named imagga with the following

IMAGGA_API_KEY = '12345678'
IMAGGA_API_SECRET = '1234567890123456789'
IMAGGA_API_SERVER_IP = '0.0.0.0'

#overwriting the core client with the proper values hardcoded inside
module Imagga
  class CoreClient
    def initialize(opts={})
      @api_key     = IMAGGA_API_KEY
      @api_secret  = IMAGGA_API_SECRET 
      @base_uri    = IMAGGA_API_SERVER_IP
    end
  end
end

by doing this when one does client = Imagga::Client.new they get back a client with the proper credentials already supplied

Extract image information

results = client.extract('http://designerpages.s3.amazonaws.com/assets/33815872/137198173.jpg')

Extract image information with category information

results = client.extract_with_category('http://designerpages.s3.amazonaws.com/assets/33815872/137198173.jpg')

default paramets for category extraction is { :extract_overall_colors => 1, :extract_object_colors =>0, :apply_color_threshold => 1, :classify_with_threshold => 99.61

example with #take first 5 images of first carpet product DPCategory.find(412).products.first.images.collect do |i| i.filename.to_s.gsub("https","http").gsub("-dev","") end.slice(0,4)

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