Optimisation

[jakewilliami]

Completed most optimisation changes:

• Switched from print statements to @info and added ability to turn off the progress bar using the new(ish) ProgressMeter keyword argument enabled
  • As such, removed test-specific dependencies, as they were no longer needed
• Optimised parts of the AdaBoost algorithm
• Used generics where possible
  • TODO: ensure everything is type stable
• Ensure functions which require an integral image as input use IntegralArray types, not just array types, as it does not make theoretical sense to accept any other type here
• Slight bug fix in calculation of weights (indexing error)
• Added example script using FFHQ dataset for faces and THINGS dataset for non-faces, with around 70–80% accuracy for both (from a subset of 2000 training images and 2000 testing images per category)
• Added benchmarking script (required to check that optimisations were indeed optimising)
• Convention fixes in code (Blue Code Style and Julia Lang conventions)
• Added @inbounds in some places where suitable
  • TODO: Add more @inbounds and add @views where possible