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Application for Objects Removal from Images Using Deep Learning Methods
Kotoun, Josef ; Hradiš, Michal (referee) ; Španěl, Michal (advisor)
The thesis deals with the development of a web application that allows users to easily select an object in an image and then remove it in a visually plausible way. The application is implemented using the SvelteKit framework. Mobile Segment Anything and Mobile Inpainting GAN neural networks are utilized for object selection and removal. The neural networks are executed on the client-side of the web application using the ONNX Runtime Web library. To efficiently utilize client device resources, WebGPU and WebAssembly technologies are employed. Thanks to the neural networks used, the resulting application enables users to select and remove objects in just a few clicks. According to user feedback, the application is easy to use, and the edited part of the resulting photograph is barely noticeable in most cases.
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Mobile App for Monitoring the Condition of Bike Parts
Kotoun, Josef ; Kapinus, Michal (referee) ; Herout, Adam (advisor)
The thesis deals with the creation of a mobile application that allows to monitor the condition of bicycle components. The application is implemented in React Native, Firebase services are used for data storage and authentication. The resulting solution provides the user with the ability to record mileage and ride time for individual components and bikes, and to record the state of wear and services performed on components. Mileage and ride time are obtained from the ride records, which the user can enter manually using a form or sync with their Strava account. The resulting app is available on Google Play under the name Bike Components Manager.
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Mobile App for Monitoring the Condition of Bike Parts
Kotoun, Josef ; Kapinus, Michal (referee) ; Herout, Adam (advisor)
The thesis deals with the creation of a mobile application that allows to monitor the condition of bicycle components. The application is implemented in React Native, Firebase services are used for data storage and authentication. The resulting solution provides the user with the ability to record mileage and ride time for individual components and bikes, and to record the state of wear and services performed on components. Mileage and ride time are obtained from the ride records, which the user can enter manually using a form or sync with their Strava account. The resulting app is available on Google Play under the name Bike Components Manager.
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Economic cooperation of the Czech Republic and the People´s Republic of China on the example of selected companies
Musil, Daniel ; Zamykalová, Miroslava (advisor) ; Kotoun, Josef (referee)
This diploma thesis deals with economic relations between the Czech Republic and the People's Republic of China. It is divided into theoretical and practical part. The theoretical part involves two chapters which deal with bilateral relations of both countries on general level. In the first chapter I compare the czech and chinese business environment and mutual economic cooperation using main economic indicators. This chapter is also dedicated to political relations and the problems which China is facing nowadays. The second chapter deals with current economic and export strategies of both countries and their penetration. The last part of this chapter is dedicated to czech institutions which support czech export. The third chapter is the practical part of this thesis in which I focused on putting knowledge of the theoretical part into practice using case study of czech company Škoda Praha, a.s.
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