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Image similarity measuring using deep learning
Štarha, Dominik ; Šeda, Pavel (referee) ; Rajnoha, Martin (advisor)
This master´s thesis deals with the reseach of technologies using deep learning method, being able to use when processing image data. Specific focus of the work is to evaluate the suitability and effectiveness of deep learning when comparing two image input data. The first – theoretical – part consists of the introduction to neural networks and deep learning. Also, it contains a description of available methods, their benefits and principles, used for processing image data. The second - practical - part of the thesis contains a proposal a appropriate model of Siamese networks to solve the problem of comparing two input image data and evaluating their similarity. The output of this work is an evaluation of several possible model configurations and highlighting the best-performing model parameters.
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Simple Mobile and Web App for Organizing Meetings
Fašánková, Erika ; Škandera, Juraj (referee) ; Herout, Adam (advisor)
The aim of this work is to create a web application, the purpose of which will be to manage the queue of people. The application will help to better organize the people waiting for their turn and save them a lot of time, as they can enroll to the queue before arriving at the place. The application, developed using the Django framework and the PostgreSQL database and other technologies, is located on Heroku. The web application is responsive and thus adapted to mobile devices or tablets. The user creates the queue - "traffic light" and sees a list of people enrolled in the queue on his administration page. You can end or open enrolling to queue, or call next person waiting in queue. People who want to join the queue already know, how many people are waiting for their turn. After join, they have the ability to control their position, which is updated without having to refresh the page. The content of the bachelor thesis is acquaintance with the principle of web application development, existing solutions to a similar problem, the design of the application Organize Semaphore, the technologies used and the implementation of the application.
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Software for DSLR control for use in microscopy
Mokrejš, Jakub ; Janoušek, Oto (referee) ; Čmiel, Vratislav (advisor)
This master's thesis initially deals with a review of cameras used in microscopy, describing their properties and the difference between microscopic and DSLR cameras. Furthermore, it describes the programs used by microscopic cameras for control via a computer. The thesis then defines the technologies used for software development and presents a design of the software's program equipment. The practical part of the thesis first describes the technologies used for software development along with a development diagram. The next section describes the functions that the software uses to communicate with the DSLR camera and introduces the software's graphical user interface. The conclusion of the practical part is devoted to testing the software itself, where it also presents various ways of its control. The test results are then evaluated in the discussion.
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Simple Mobile and Web App for Organizing Meetings
Fašánková, Erika ; Škandera, Juraj (referee) ; Herout, Adam (advisor)
The aim of this work is to create a web application, the purpose of which will be to manage the queue of people. The application will help to better organize the people waiting for their turn and save them a lot of time, as they can enroll to the queue before arriving at the place. The application, developed using the Django framework and the PostgreSQL database and other technologies, is located on Heroku. The web application is responsive and thus adapted to mobile devices or tablets. The user creates the queue - "traffic light" and sees a list of people enrolled in the queue on his administration page. You can end or open enrolling to queue, or call next person waiting in queue. People who want to join the queue already know, how many people are waiting for their turn. After join, they have the ability to control their position, which is updated without having to refresh the page. The content of the bachelor thesis is acquaintance with the principle of web application development, existing solutions to a similar problem, the design of the application Organize Semaphore, the technologies used and the implementation of the application.
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Image similarity measuring using deep learning
Štarha, Dominik ; Šeda, Pavel (referee) ; Rajnoha, Martin (advisor)
This master´s thesis deals with the reseach of technologies using deep learning method, being able to use when processing image data. Specific focus of the work is to evaluate the suitability and effectiveness of deep learning when comparing two image input data. The first – theoretical – part consists of the introduction to neural networks and deep learning. Also, it contains a description of available methods, their benefits and principles, used for processing image data. The second - practical - part of the thesis contains a proposal a appropriate model of Siamese networks to solve the problem of comparing two input image data and evaluating their similarity. The output of this work is an evaluation of several possible model configurations and highlighting the best-performing model parameters.
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