Paperclip::FaceCrop

Paperclip::FaceCrop is a Paperclip processor that is aware of the faces found on the image so that they aren't cropped or aren't shown too small while generating the thumbnails. It can use the OpenCV library, the Face.com or LambdaLabs web service(or all three at the same time) for the facial recognition.

Requirements:

OpenCV

If you want to use OpenCV on your own server, you need to install:

In case you get the error message /ext/opencv/cverror.cpp:143: error: ‘CV_GpuCufftCallError’ was not declared in this scope while installing the ruby binding, checkout the OpenCV_2.2 branch or just remove the line 143 from /ext/opencv/cverror.cpp

Face.com

rest-client

In order to use the Face.com service, you will also need to register in order to get your api key and api secret for your application.

lambdal.com

rest-client

In order to use the lambdal.com service, you will also need to register in order to get your api key for your application.

Installation:

Add to your application Gemfile
```
    gem 'paperclip-facecrop'
```
Type
```
    bundle install
```
Write an initializer setting the detectors configuration (initializers/paperclip.rb for example):

OpenCV

Set the path of the haarcascade filters:

      Paperclip::FaceCrop.detectors = {
        'OpenCV' =>  { 
          :face => %w(/usr/local/share/opencv/haarcascades/haarcascade_frontalface_alt_tree.xml)
        }
      }

You can use more than one filter to try more accurate searches:

      Paperclip::FaceCrop.detectors = {
        'OpenCV' =>  { 
          :face => %w(/usr/local/share/opencv/haarcascades/haarcascade_frontalface_alt_tree.xml
                      /usr/local/share/opencv/haarcascades/haarcascade_frontalface_alt.xml
                      /usr/local/share/opencv/haarcascades/haarcascade_profileface.xml)
        }
      }

In order to try to avoid some false positives, you can also specify other classifiers to detect other parts of the face. In that case, only the found areas that contain parts like a mouth, an eye or a nose will be considered a face:

      Paperclip::FaceCrop.detectors = {
        'OpenCV' =>  { 
          :face => %w(/usr/local/share/opencv/haarcascades/haarcascade_frontalface_alt_tree.xml
                      /usr/local/share/opencv/haarcascades/haarcascade_frontalface_alt.xml
                      /usr/local/share/opencv/haarcascades/haarcascade_profileface.xml),
          
          :parts => %w(/usr/local/share/opencv/haarcascades/haarcascade_mcs_nose.xml
                       /usr/local/share/opencv/haarcascades/haarcascade_mcs_lefteye.xml
                       /usr/local/share/opencv/haarcascades/haarcascade_mcs_righteye.xml)
        }
      }

Face.com

      Paperclip::FaceCrop.detectors = {
        'FaceCom' => { :api_key => "<YOUR API KEY>", :api_secret => "<YOUR API SECRET>"}
      }

lambdal.com

      Paperclip::FaceCrop.detectors = {
        'LambdaLabs' => {:mashape_authorization => "<YOUR API KEY>"}
      }

Usage:

Just specify your image styles as usual and set :face_crop as the processor:

class Image < ActiveRecord::Base

  has_attached_file :attachment, 
      :styles => {:thumbnail => "200x125#"}, 
      :processors => [:face_crop]
end

In case no faces were found, it will behave simply as the Paperclip::Thumbnail processor

You can also set the debug mode to draw on the image the detected regions:

Paperclip::FaceCrop.debug = Rails.env.development?

Each detector will draw the found regions in different colors(Face.com detector in red and OpenCV in green)

Credits:

Copyright (c) 2011 Borja Martín Sánchez de Vivar [email protected] - http://dagi3d.net, released under the MIT license
The photo used as example belongs to Jesper Rønn-Jensen

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