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Description

Motionscan is a RubyMotion wrapper for the Moodstocks SDK. Moodstocks provide an incredibly fast and easy tool to add image recognition to your app.

Watch the video to see what you will be able to build in few minutes : http://cl.ly/0Q3K163y3b12

http://blog.rubymotion.com/post/41861021757/scan-barcodes-and-images-with-moodstocks-and-rubymotion http://www.moodstocks.com/2013/01/30/image-recognition-in-rubymotion-with-the-moodstocks-sdk/

Usage

  • Create an account on moodstocks.com
  • Use Moodstocks image uploader to add images to your account
  • Complete your application Rakefile with RakefileExample (most notably pod and credentials)
  • Look at /app to use it in your application
  • add "motionscan" in your Gemfile or install : gem install motionscan
  • add require 'motionscan' in your Rakefile before Motion::Project::App.setup...

If you want build this application you need to upload images with json attached to images, for example : http://cl.ly/image/3l331E0K0L2P

Look the standalone demo app for more informations : https://github.com/jjaffeux/TestMotionscan

Documentation

Motionscan::Sync

Moodstocks is fast because the image processor is fast but also because it allows you to cache image signature, the Sync class allows you to decide when and how you want to sync the device cache.

-init

sync = Motionscan::Sync.init

-startWithStatus(syncStarted, success:syncCompleted, error:syncFailed, progress:syncProgressed)

sync.startWithStatus(
  lambda {
    # sync started
  },
  success:lambda {|result|
    # sync finished
    # Motionscan::Result instance
  },
  error:lambda {|error|
    # an error occured while syncing
    # NSError
  },
  progress:lambda {|progress, total|
    # progress : current number of cached items
    # total : number of items to cache
  }
)

Motionscan::Scanner

-initWithFrame(frame)

scanner = Motionscan::Scanner.initWithFrame([[0,0],[320,200]])

-frame=(frame)

scanner.frame = [[0,0],[320,200]]

-displayScannerInView(view)

scanner.displayScannerInView(self.view)

-startWithStatus(scanStarted, success:scanCompleted, error:scanError, notFound:scanNotFound)

scanner.startWithStatus(
  lambda {
  	# scan started
    # will fire once at the beginning
    # from this point everything captured 
    # by the video will be scanned
  },
  success:lambda {|result|
  	# scan found and image in the cache
    # Motionscan::Result instance
  },
  error:lambda {|error|
  	# scan error
    # NSError 
  },
  notFound:lambda {
  	# scan didn't find the image in the cache
    # you shouldn't do anything expensive here
    # as it will fire very frequently
  }
)

-pause

If you wish to pause the scanner, and prevent current result to change you can use this method. Use scanner.resume to resume scanning process.

scanner.pause

-stop

Call this method to terminate the scanner, usually in viewWillDisappear(animated). /!\ You have to call it at some point or pushing a new UIViewController and going back to this one, will crash the app.

scanner.stop

-resume

scanner.resume

-searchWithStatus(searchStarted, success:searchCompleted, error:searchError, notFound:searchNotFound)

If an image is not in the cache, you can trigger an API call to search it on your account.

scanner.searchWithStatus(
  lambda {
  	#search in remote started
  },
  success:lambda {|result|
  	#search found and image in remote
  },
  error:lambda {|error|
  	#search error
  },
  notFound:lambda {
  	#search didn't find the image in remote
  }
)

Motionscan::Result

Result is a simple wrapper arround MSResult, every methods that should return a result will give an instance of Motionscan::Result.

-imageId

Returns the imageId of the scanned image.

result.imageId

-data

result.data

Returns the string or the hash (json is converted to a hash) saved with the image. For example if the following json is attached to your image :

{"type":"businessCat", "name":"Carl"}

You will get the following ruby hash :

result.data
# {type:"businessCat", name:"Carl"}

About

Motionscan is a RubyMotion wrapper for the image recognition Moodstocks SDK : www.moodstocks.com

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