|
|
Mobile App for Management and Reservation of Sports Lessons
Hynek, Tomáš ; Tomešek, Jan (referee) ; Herout, Adam (advisor)
The goal of this thesis is to create a mobile application for Android that will offer management for reservations of training lessons. There are two user roles in the application. The first one is coach who can offer his lessons to other users. Users then can book this lesson right from the application. Coach can also manage all of his lessons and see his reservations in calendar. The second type of user is an athlete who can search for training lessons by name or place distance and then he can book them. The name of the application is Fittyy and it complies with Material Design rules. It uses advanced technologies like Android Jetpack to store local data, implement MVVM model or process server requests in the background. Communication between coach and athlete was implemented using CMS system made by Dactyl Group s.r.o.
|
|
|
Education Computer Program for Demonstration Methods of 3D Objects Illumination and Shading
Chvál, Vít ; Herout, Adam (referee) ; Zuzaňák, Jiří (advisor)
This work describes an Education Computer Program for Demonstration Methods of 3D Objects Illumination and Shading creation. There are in detail described lighting models in this text. There are Phong and Lambert models as representatives of empiric models and BRDF as representative of physical model. Next part of the text describes types of shading methods. You can find there constant, Gouraud and Phong method. Following part of the text discuss issues of Educational applications. The rest of the text is devoted to design and implementation of the application.
|
|
|
Detection of a Yoga Poses in Image
Kutálek, Jiří ; Bartl, Vojtěch (referee) ; Herout, Adam (advisor)
The motivation for this thesis is the concept of a smartphone app detecting Yoga poses and displaying Yoga frames to a user. The goal of this project is proving that even a simple Convolutional Neural Network (CNN) model can be trained to recognize and classify video frames from a Yoga session. I created an application in which the videos are manually annotated. The data, consisting of frames captured from 162 collected videos based on the annotations, is then passed to train a CNN model. The Dataset consists of 22 000 images of 22 different Yoga poses. The frames are captured using the OpenCV library, the training process is handled by the TensorFlow platform and the Keras API, and the results are visualized in the TensorBoard toolkit. The Model's multi-class classification accuracy reaches 91% when the binary cross-entropy loss function and the sigmoid activation function are used. Despite the promising experimental results, the main contributions are the dataset forming tools and the Dataset itself, which both helped to confirm the proof-of-concept.
|
|
|
Web App for Management of Appointments
Balajka, Pavel ; Špaňhel, Jakub (referee) ; Herout, Adam (advisor)
The aim of this work is to create an aplication that allows lectors create and manage consultation appointments on which students will be able to sing on. Therefore a web application designed to run on a server was created, that lectors and students can access with an internet browser. The mentioned problem is solved in a way which simplifies the work of its users and offers them additional possibilities regarding consultation management. For example, the application is able to send a notification when a section of a consultation becomes available or to show consultation's history - which user has done what action with a chosen consultation. The procedure of simple usage of the application is the following: Lector creates a consultation - chooses date, time and number of sections. Student selects a lector in the appliacion, displays his consultations, chooses desired time and signs on the consultation by just one click. Application was developed primarily for university lectors and students but it can be as well used by other subjects that need or want a system where they can create an event on which other people can sign on.
|
|
|
Robust and Distribusted OCR Processing System
Raur, Pavel ; Herout, Adam (referee) ; Hradiš, Michal (advisor)
This thesis focuses on creating distributed computing system for document processing using OCR. System is designed to coordinate computation across multiple nodes and distribute tasks between them. Created system was tested for proper functionality. Development is carried out within the PERO project. Developed system will be integrated into the project's demonstration application.
|
|
|
Fast Ray-Scene Intersection
Stříž, Martin ; Zemčík, Pavel (referee) ; Herout, Adam (advisor)
Ray-tracing of 3-D scene is one of the contemporary used rendering methods. Altough it is not a photorealistic method, it produces results with high image quality. Main disadvantage of this method is that it needs a large amount of processing power. That is why various optimalizations must be implemented. This thesis is focused on spatial subdivision optimalizations, namely BSP and KD trees, and their comparsion.
|
|
|
Deep Learning for Object Detection
Paníček, Andrej ; Herout, Adam (referee) ; Teuer, Lukáš (advisor)
This work deals with the object detection using deep neural networks. As part of the solution, I modified, implemented and trained the well-known model of cascade neural networks MTCNN so that it could perform the detection of traffic signs. The training data was generated from GTSRB and GTSDB data sets. MTCNN showed solid performance on the evaluation data, where the detection accuracy reached 97.8 %.
|
|
|
Pattern Recognition in Image Using Classifiers
Juránek, Roman ; Španěl, Michal (referee) ; Herout, Adam (advisor)
An AdaBoost algorithm for construction of strong classifier from several weak hypotesis will be presented in this work. Theoretical background of the algorithm and the method of construction of strong classifiers will be explained. WaldBoost extension to the algorithm will be described. The thesis deals with image features that are often used as element of weak classifiers. Brief introduction to pattern recognition in context of computer vision will be outlined in the begining of the work. Also some widely used methods of classifier training will be presented. An object detection library based on AdaBoost classifiers was developed as part of the work. The library was used in implementation of software that in praktice demonstrates object detection in videosquences. Last part of the work describes tool for training of AdaBoost classifiers.
|
|
|
Detection of Vehicles in Image
Pomykal, Antonín ; Beran, Vítězslav (referee) ; Herout, Adam (advisor)
This work deals with the possibility of detection of cars in the image using the characteristics of cars with custom created image features , which are made pursuant to Haar-like features, and using methods of AdaBoost to train and their detection. We introduce the possibilities and types of custom picture features, OpenCV library, which was used in the implementation of the program, and we show the results and the success of this combination of detection algorithms.
|
|
|
Client for 3D Client/Server Chess
Starka, Tomáš ; Kubíček, Radek (referee) ; Herout, Adam (advisor)
Bachelory work is a corner-stone for project which employs itself with playing board games via internet. It outlines some of board games issues and for a fraction of them is designed a system that stands on an application protocol called BGame which was created for that purpose. Th e Chess has been chosen as a testing game. Whole implementation is on Java platform.
|
guest ::
