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iOS Application for Festival Visitors
Menšík, Jan ; Polášek, Tomáš (referee) ; Bobák, Petr (advisor)
The aim of this thesis is to implement iOS application aggregating information about festivals to one place. Application should provide general overview about individual festival events and help users with time planning. Thesis is describing process of creation from user interface design and system architecture to implementation with final testing. The result is client-server application providing web interface to organizers for any kind of festival registration which is later available in the mobile application. Server is implemented in Django framework, client application in framework SwiftUI.
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Mobile Application Using Deep Convolutional Neural Networks
Poliak, Sebastián ; Herout, Adam (referee) ; Sochor, Jakub (advisor)
This thesis describes a process of creating a mobile application using deep convolutional neural networks. The process starts with proposal of the main idea, followed by product and technical design, implementation and evaluation. The thesis also explores the technical background of image recognition, and chooses the most suitable options for the purpose of the application. These are object detection and multi-label classification, which are both implemented, evaluated and compared. The resulting application tries to bring value from both user and technical point of view.
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iOS Application for Festival Visitors
Menšík, Jan ; Polášek, Tomáš (referee) ; Bobák, Petr (advisor)
The aim of this thesis is to implement iOS application aggregating information about festivals to one place. Application should provide general overview about individual festival events and help users with time planning. Thesis is describing process of creation from user interface design and system architecture to implementation with final testing. The result is client-server application providing web interface to organizers for any kind of festival registration which is later available in the mobile application. Server is implemented in Django framework, client application in framework SwiftUI.
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|
|
Mobile Application Using Deep Convolutional Neural Networks
Poliak, Sebastián ; Herout, Adam (referee) ; Sochor, Jakub (advisor)
This thesis describes a process of creating a mobile application using deep convolutional neural networks. The process starts with proposal of the main idea, followed by product and technical design, implementation and evaluation. The thesis also explores the technical background of image recognition, and chooses the most suitable options for the purpose of the application. These are object detection and multi-label classification, which are both implemented, evaluated and compared. The resulting application tries to bring value from both user and technical point of view.
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