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Annotating of Videos for Analytical Purposes
Lištiak, Filip ; Zendulka, Jaroslav (referee) ; Fröml, Vojtěch (advisor)
The objective of this thesis is the analysis, design and implementation of the program, which allows the user annotation of video data for the selected method, which provide support for event detection in the image data. Application allows to play video sequences and display events found in this sequence according to the method chosen. The main purpose of the application is to extend these methods of manual user inputs.
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Dataset Annotator for Neural Network Training
Schneider, Martin ; Materna, Zdeněk (referee) ; Beran, Vítězslav (advisor)
The goal of this thesis is design and implementation of a system for image data annotation which will learn neural networks. An important feature of this system is the iterative approach of learning, where the annotated set is extended by the neural network itself and users make corrections of these extensions. The system consists of an information system with an embedded annotation tool. Information system communicates with neural network management program. The information system is designed according to the MVC architectural model. The frontend of the application is built on JavaScript library - React and is designed according to Material Design conventions using the Material-UI framework. The frontend maintains a permanent connection to the Python backend using the WebSocket protocol, which is also used by the backend to communicate with the neural network management program. The NoSQL database system uses MongoDB technology.
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Znovupoužitelný 2D editor pro webové aplikace
Schneider, Martin ; Hradiš, Michal (referee) ; Herout, Adam (advisor)
The goal of this work is to implement a 2D editor as a library for web applications together with a test application. The library primarily targets segmentation neural network and remote use environments with optimizations for data transfer. First, the reader is introduced to frontend application development with a focus on 2D graphics editing and image data display. Next, an analysis of the needs for a 2D editor with applications to annotation editing and displaying results in computer vision tasks is presented. The result of the analysis is then converted into a system design, which is subsequently implemented and tested.
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Dataset Annotator for Neural Network Training
Schneider, Martin ; Materna, Zdeněk (referee) ; Beran, Vítězslav (advisor)
The goal of this thesis is design and implementation of a system for image data annotation which will learn neural networks. An important feature of this system is the iterative approach of learning, where the annotated set is extended by the neural network itself and users make corrections of these extensions. The system consists of an information system with an embedded annotation tool. Information system communicates with neural network management program. The information system is designed according to the MVC architectural model. The frontend of the application is built on JavaScript library - React and is designed according to Material Design conventions using the Material-UI framework. The frontend maintains a permanent connection to the Python backend using the WebSocket protocol, which is also used by the backend to communicate with the neural network management program. The NoSQL database system uses MongoDB technology.
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Annotating of Videos for Analytical Purposes
Lištiak, Filip ; Zendulka, Jaroslav (referee) ; Fröml, Vojtěch (advisor)
The objective of this thesis is the analysis, design and implementation of the program, which allows the user annotation of video data for the selected method, which provide support for event detection in the image data. Application allows to play video sequences and display events found in this sequence according to the method chosen. The main purpose of the application is to extend these methods of manual user inputs.
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