diff --git a/thesis/thesis.tex b/thesis/thesis.tex index f3e5bf9..35ffbeb 100644 --- a/thesis/thesis.tex +++ b/thesis/thesis.tex @@ -496,6 +496,16 @@ design, how the object detection model was trained and tuned, and do the same for the classifier. Also describe the shape and contents of the training sets. +Estimated 7 pages for this chapter. + +\section{Design} +\label{sec:design} + +Reference methods section (~\ref{sec:methods}) to explain two-stage +structure of the approach. + +Estimated 1 page for this section. + \section{Object Detection} \label{sec:development-detection} @@ -503,6 +513,8 @@ Describe how the object detection model was trained, what the training set looks like and which complications arose during training as well as fine-tuning. +Estimated 2 pages for this section. + \section{Classification} \label{sec:Classification} @@ -510,11 +522,15 @@ Describe how the classification model was trained, what the training set looks like and which complications arose during training as well as fine-tuning. +Estimated 2 pages for this section. + \section{Deployment} Describe the Jetson Nano, how the model is deployed to the device and how it reports its results. +Estimated 2 pages for this section. + \chapter{Results} \label{chap:results} @@ -1241,6 +1257,26 @@ more plants are correctly detected and classified overall, but the confidence scores tend to be lower with the optimized model. The \textsf{mAP}@0.5:0.95 could be improved by about 0.025. +\chapter{Discussion} +\label{chap:discussion} + +Pull out discussion parts from current results chapter +(~\ref{chap:results}) and add a section about achievement of the aim +of the work discussed in motivation and problem statement section +(~\ref{sec:methods}). + +Estimated 2 pages for this chapter. + +\chapter{Conclusion} +\label{chap:conclusion} + +Conclude with a part on possible improvements to the +approach/prototype. Suggest further research directions regarding the +approach. Give an outlook on further possibilities in this research +field with respect to object detection and plant classification. + +Estimated 1 page for this chapter. + \backmatter % Use an optional list of figures. @@ -1271,4 +1307,6 @@ confidence scores tend to be lower with the optimized model. The %%% TeX-master: t %%% TeX-master: t %%% TeX-master: "thesis" +%%% TeX-master: t +%%% TeX-master: t %%% End: