Future Training Enhancements

[gfiumara]

Regarding the serialisation of the model: in my opinion the size could be much compressed when using truncated random forest parameters without any expected loss of accuracy. However, I did not find a native way in opencv yet on how to do that.

In a possible next iteration, there are many points to work on, e.g.:

• Swapping underlying comparators to the latest generation and hence improving the training data selection
• Consider other interesting parameters in the GridSearch (as mentioned previously)
• Optimising model complexity - performance
• Improving training and model selection procedure
• Improving by using other/more recent ML approaches
• Using another framework with more flexibility, other than opencv for training

(Source: E-mail exchange with Daniel Hartung)