Scale classifiers (to ensure that classifiers work on images different sizes to training data)

[jakewilliami]

[jakewilliami]

I have added

FaceDetection.notifyUser("Loading test faces...")
      
      facesTesting = FaceDetection.loadImages(posTestingPath)
      # facesIITesting = map(FaceDetection.toIntegralImage, facesTesting)
      facesIITesting = map(i -> imresize(i, (19,19)), map(FaceDetection.toIntegralImage, facesTesting))
      println("...done. ", length(facesTesting), " faces loaded.")
      
      FaceDetection.notifyUser("Loading test non-faces..")
      
      nonFacesTesting = FaceDetection.loadImages(negTestingPath)
      nonFacesIITesting = map(i -> imresize(i, (19,19)), map(FaceDetection.toIntegralImage, nonFacesTesting))
      println("...done. ", length(nonFacesTesting), " non-faces loaded.\n")

but is this enough? Instead of resizing the images, it would be ideal to resize the classifiers.