chore: reformated and updated diagram
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@ -2,14 +2,6 @@ indata: "Input data" {
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shape: cylinder
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}
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model-generation: Model Generation {
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generator: Generator {
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model-training: Model Training {
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node: Node
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}
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}
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}
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node-manager: Node Manager {
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node1
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node2
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@ -20,8 +12,6 @@ node-manager: Node Manager {
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node-manager->noden: Manage
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}
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model-generation.generator.model-training.node<->node-manager: Request/Gives node to train
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model-database: Model database {
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shape: cylinder
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}
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@ -40,9 +30,7 @@ model-runner: Model Runner {
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headless->model-search: Results
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model-search: Model Search {
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}
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model-search: Model Search {}
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model-search<->_.model-database: Request Head Models
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@ -69,14 +57,14 @@ model-runner: Model Runner {
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model-runner.node<->node-manager: Request/Gives node to run model
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User.shape: Person
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User->indata: Uploads data
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User->model-generation: Requests Model
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User->model-database: Manages Models
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User->model-runner: Request image for classification
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model-runner->User: Give class of image
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model-generation.generator <-> indata: Requests Data
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model-generation: Model Generation {}
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User->model-generation: Requests Model
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model-generation <-> indata: Requests Data
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model-generation<->node-manager: Request/Gives node to train
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@ -55,6 +55,10 @@
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\includegraphics[height=0.5\textheight]{uni_surrey}
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\end{center}
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\begin{center}
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\today
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\end{center}
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\newpage
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\section*{Declaration of Originality}
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@ -67,15 +71,24 @@
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\newpage
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\section*{Acknowledgements}
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I would like to take this opportunity to thank my supervisor Rizwan Asghar that helped me from the
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start of the project till the end.
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I am honestly thankful to him for sharing his honest and educational views on a number of issues related
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to this report.
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Additionally, I would like to thank my parents and friends for their continued support and
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encouragement from the first day of the university. They always have been motivating, inspiring and
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helping me to achieve my life goals
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\newpage
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\section*{Abstract}
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Currently there are few automatic image calssificication platforms.
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This project hopes to work as a guide for the creating a new image automatic classification platform.
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The project goes through all the requirmenets for creating a platform service as well as all of its needs.
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\newpage
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\tableofcontents
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\newpage
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\section{Introduction}
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% This section should contain an introduction to the problem aims and objectives (0.5 page)
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Currently, there are many classification tasks that are being done manually. These tasks could be done more effectively if there was tooling that would allow the easy creation of classification models, without the knowledge of data analysis and machine learning models creation.
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@ -101,6 +114,7 @@
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\end{itemize}
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\pagebreak
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\section{Literature and Technical Review}
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This section reviews existing technologies in the market that do image classification. It also reviews current image classification technologies, which meet the requirements for the project. This review also analyses methods that are used to distribute the learning between various physical machines, and how to spread the load so minimum reloading of the models is required when running the model.
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