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This repository contains the main code which performs learning and construction of the memory
Add port that sends a notification message every time a classification has been done (event driven activation)
Currently faces model classifies all people as Sock -> Check if it's a recall error or a modelling error
When optimising model with SAMOptimise, load the ini settings from the model, apply them to the config.ini within the 'ModelName' section and then start optimising
Fix the current ipyparallel code. Either check if an ipyparallel is availble that allows for explicitly clearing memory or use a different approach
Poll process for checking if training has finished successfully does not currently work for windowed training processes.
Possible solution: Pipe back error to samSupervisor/convert trainSamActions to yarp rf module implementation
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