Add preliminary structure for Prototype Implementation and Design

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: