\begin
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% This work was originally written by Joseph Rowell and edited by Kholoud Althobaiti
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\date{September 2024}
\title{RESEARCH TITLE (Font Size 24 Bold)}
\author{
\\ \underline{\textbf{Research Project I (50XXXX-3)}}
\\A MSc Research Project submitted as partial fulfillment To:
\\Graduate Studies Committee
\\College of Computers and Information Technology, Taif University
\\
\\
\\ Advisor:
\\
\\Student Name:
\\
\\
}
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\chapter*{Evaluation Committee}
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MEMBER NAME & ROLE & DATE & SIGNATURE
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& Advisor& & \\
&Examiner 1 & &\\
&Examiner 2& &\\
\hline
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\textbf{Graduate Studies Committee Chair------------------------ Signature:}
\textbf{College of Computers and Information Technology}
\textbf{Taif University, KSA.}
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\chapter*{Students Anti-Plagiarism Statement}
\addcontentsline{toc}{chapter}{Students Anti-Plagiarism Statement}
\fbox{\parbox{\dimexpr\textwidth\fboxsep-2\fboxrule\relax}{ I hereby declare this report is my own work except for properly referenced quotations, and contains no plagiarism; it has not been submitted previously for any other assessed unit on this or other degree courses.\\
I have read and understood the School's rules on assessment offences which are available in the Taif University Handbook}}
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\textbf{Author:} & &\\
Name & Signature: & Date: \\
Student's Name & \includegraphics[width=2cm]{Images/signature.PNG}& 3/10/2024\\
% Name & Signature: & Date: \\
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\chapter*{Dedication}
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This work is dedicated to my dear --------
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% Copyright \copyright \thinspace 2022 by Joseph Rowell \\ All Rights Reserved
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% %\epigraph{The Book of Nature is written in the language of mathematics.}{--- \textup{Galileo Galilei}}
% \epigraph{The computer was born to solve problems that did not exist before.}{--- \textup{Bill Gates}}
\chapter*{Abstract in English}
\addcontentsline{toc}{chapter}{Abstract}
\input{0 Abstract}
\keywords{Includes at least 5 keywords or phrases.}
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\chapter*{Abstract in Arabic}
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\tableofcontents
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\listoftables
\listoffigures
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% \listofalgorithms
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\input{1 Introduction}
\input{2 Lit Review}
\input{3 Methodology}
\input{4 Requirements Analysis}
\input{5 Conclusion}
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% APPENDIX
\begin{appendices}
\chapter{Code Samples}
\subsection{Libraries}
\begin{lstlisting}[language=Python]
import torch
import numpy as np
from torch.utils.data import Dataset
import cv2
from skimage.transform import resize
import torch.nn as nn
import torch.nn.functional as F
import cv2
import glob
from PIL import Image
import matplotlib.pyplot as plt
from scipy.signal import butter, lfilter, get_window
import torchvision.models as models
\end{lstlisting}
\subsection{Frames Extraction and Pre-processing}
\begin{lstlisting}[language=Python]
def extract_faces_frames(video_file,timesep,h,w):
face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
vid_capture = cv2.VideoCapture(video_file)
frames = []
frames_count = 0
while vid_capture.isOpened():
return_TF, saved_frames = vid_capture.read()
if not return_TF:
break
saved_frames = enhance_image(saved_frames)
gray = cv2.cvtColor(saved_frames, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, scaleFactor=1.1, minNeighbors=5)
for i, (x, y, width, height) in enumerate(faces):
# Extract ROI
if frames_count == timesep:
break
roi = saved_frames[y:y+height, x:x+width]
roi = cv2.resize(roi,(h,w))
frames.append(roi)
frames_count+=1
vid_capture.release()
return frames
\end{lstlisting}
\end{appendices}
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% GLOSSARY
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