|
|
Comparison of deep learning and classical methods for traffic signs detection
Geiger, Petr ; Šikudová, Elena (advisor) ; Mirbauer, Martin (referee)
The goal of this thesis is to explore and evaluate classic and deep neural network computer vision methods in the task of detection position of a level crossing barrier. This thesis is based on an initial detection algorithm using a Stable Wave Detector. The initial algorithm is optimized both in performance and quality of the results. Both is crucial, because the best method should be suitable as a component of the real-time level crossing safety system. Then an another approach is implemented using deep neural networks and optimized in the same manner. Throughout the work several datasets are created for both training and testing of the algorithms. Both approaches are finally evaluated on the same test datasets and the results are compared.
|
|
|
Dungeon Master Game for the .NET Platform
Geiger, Petr ; Ježek, Pavel (advisor) ; Gemrot, Jakub (referee)
The goal of this thesis is to reimplement the Dungeon Master game. Currently there exist several clones of this wellknown game. However, compared to them this thesis focuses on aspect stated below. The game is implemented in the C# language using .NET platform. Furthermore, the entire engine is designed towards sustainability and scalability - i. e. that by using this engine it is possible to design slightly different game based on the same principles. Especially, it is easy to add new features to the engine. The engine is also prepared for different input formats of levels. Also the rendering layer of the game engine is completely separate. Due to nature of the project the engine can serve as a representative example of a complex program in programming courses. Powered by TCPDF (www.tcpdf.org)
|
|
|
Comparison of deep learning and classical methods for traffic signs detection
Geiger, Petr ; Šikudová, Elena (advisor) ; Mirbauer, Martin (referee)
The goal of this thesis is to explore and evaluate classic and deep neural network computer vision methods in the task of detection position of a level crossing barrier. This thesis is based on an initial detection algorithm using a Stable Wave Detector. The initial algorithm is optimized both in performance and quality of the results. Both is crucial, because the best method should be suitable as a component of the real-time level crossing safety system. Then an another approach is implemented using deep neural networks and optimized in the same manner. Throughout the work several datasets are created for both training and testing of the algorithms. Both approaches are finally evaluated on the same test datasets and the results are compared.
|
|
|
Dungeon Master Game for the .NET Platform
Geiger, Petr ; Ježek, Pavel (advisor) ; Gemrot, Jakub (referee)
The goal of this thesis is to reimplement the Dungeon Master game. Currently there exist several clones of this wellknown game. However, compared to them this thesis focuses on aspect stated below. The game is implemented in the C# language using .NET platform. Furthermore, the entire engine is designed towards sustainability and scalability - i. e. that by using this engine it is possible to design slightly different game based on the same principles. Especially, it is easy to add new features to the engine. The engine is also prepared for different input formats of levels. Also the rendering layer of the game engine is completely separate. Due to nature of the project the engine can serve as a representative example of a complex program in programming courses. Powered by TCPDF (www.tcpdf.org)
|
guest ::
