I'd like to use the DeepLearningKit for iOS. I want to use UIImage objects to be classified. The sample application only uses a float array loaded from a json file. Thus I have to create the bitmap representation of the UIImage as a float array and use this for the classify-method.
Can anybody help me on that? Is there a way to create a bitmap representation for UIImage? Moreover I have to swap the channels from RGB to BGR.
Have added an extension to UIImage that allows setting and getting RGB(A) pixels directly - key methods:
public func setPixelColorAtPoint(point:CGPoint, color: RawColorType) -> UIImage? func getPixelColorAtLocation(point:CGPoint)->UIColor?
where RawColorType is defined as
public typealias RawColorType = (newRedColor:UInt8, newgreenColor:UInt8, newblueColor:UInt8, newalphaValue:UInt8)
This way you should be able to convert back and forth between bitmap representation and UIImage. Wrote a blog post that gives some more context: http://deeplearningkit.org/tutorials-for-ios-os-x-and-tvos/tutorial-image-handling-in-deeplearningkit/