[utils.metric] Rename as measure as some of the values are not real metrics; Add tests for AUC and improve its implementation

[utils.plot] Implement a more fair std.dev. plot using a bivariate gaussian modelling instead of vector addition (thinner regions)

[engine.*] Move model summarization to training; Separate static information from dynamic information logging

[engine.trainer] Implement thorough resource monitoring; Do not plot in the end - writing a CSV is fine already

[script.*] Implement F1-score a priori where possible; Improve plotting of precision-recall curves with better legends, more consistence; Remove redundant plotting code; Update tests

[checkpointer] Make it flexible to directory renames; Fix saving of trainlog in case we are interrupted

[docs,scripts] Separate evaluation script; Improve trainer engine code; Reset network model names to match resource names

[script/binseg] In evalpred, allow user to specify the prediction map extension, but defaults to .png