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Application for Exam Preparation
Líbal, Tomáš ; Veigend, Petr (referee) ; Dytrych, Jaroslav (advisor)
This thesis deals with the issue of preparation of final exams at the Faculty of Information Technology of Brno University of Technology. It describes the process of design and implementation of a web application that allows teachers to create and manage room schemes and terms of individual exams. An important part of the application is also the automatic placement of students in the rooms and the generation of individual exam assignments for printing based on the given template and the method of placement. The application provides students with a clear view of individual exam terms and details about them. The work will result in a functional and usable web application written in Java using the Spring and Angular frameworks.
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Detection of Vehicle License Plates in Video
Líbal, Tomáš ; Hradiš, Michal (referee) ; Herout, Adam (advisor)
This thesis deals with preparation of training dataset and training of convolutional neural network for licence plate detection in video. Darknet technology was used for detection, specifically the YOLOv3-tiny neural network model. The solution was focused on the most accurate detection and the smallest number of false positives per image, thus minimizing overall model error. Dataset was prepared from existing freely available datasets, from the dataset provided by the GRAPH@FIT research group, and from self-annotated images created from downloaded YouTube videos. Furthermore, this dataset has been processed using data augmentation, extending it to twice the size. The YOLO Mark tool was used to create annotations. An ROC curve was used to visualize the detection success. Created solution reaches minimum total error 10,849%. Part of the solution is already mentioned dataset.
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Application for Exam Preparation
Líbal, Tomáš ; Veigend, Petr (referee) ; Dytrych, Jaroslav (advisor)
This thesis deals with the issue of preparation of final exams at the Faculty of Information Technology of Brno University of Technology. It describes the process of design and implementation of a web application that allows teachers to create and manage room schemes and terms of individual exams. An important part of the application is also the automatic placement of students in the rooms and the generation of individual exam assignments for printing based on the given template and the method of placement. The application provides students with a clear view of individual exam terms and details about them. The work will result in a functional and usable web application written in Java using the Spring and Angular frameworks.
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Detection of Vehicle License Plates in Video
Líbal, Tomáš ; Hradiš, Michal (referee) ; Herout, Adam (advisor)
This thesis deals with preparation of training dataset and training of convolutional neural network for licence plate detection in video. Darknet technology was used for detection, specifically the YOLOv3-tiny neural network model. The solution was focused on the most accurate detection and the smallest number of false positives per image, thus minimizing overall model error. Dataset was prepared from existing freely available datasets, from the dataset provided by the GRAPH@FIT research group, and from self-annotated images created from downloaded YouTube videos. Furthermore, this dataset has been processed using data augmentation, extending it to twice the size. The YOLO Mark tool was used to create annotations. An ROC curve was used to visualize the detection success. Created solution reaches minimum total error 10,849%. Part of the solution is already mentioned dataset.
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