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Simulation of an ARM Processor for the Education of Programming in Assembler
Ondryáš, Ondřej ; Goldmann, Tomáš (referee) ; Orság, Filip (advisor)
This thesis aims to implement a didactic tool for simulation of an Arm-based processor integrated into the Visual Studio Code editor. The tool facilitates learning about the machine-level programming of these processors. It implements a service that provides an assembler and a simulator for the A32 instruction set. The service is built using the Unicorn emulation framework and other open-source tools. The editor extension uses the service to add support for the development and debugging of programs written in the assembly language. It shows descriptions of used instructions and helps the programmer understand their function. When debugging, it enables stepping through the code and provides various views of the state of the simulated processor, its registers and memory. The solution can be used in the Advanced Assembly Languages course at FIT BUT. It could be further improved in the future to support other architectures and provide an easy learning environment in other courses related to machine-level programming.
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Thermal Imaging System for Measuring Body Temperature
Mysza, Róbert ; Kolář, Dušan (referee) ; Goldmann, Tomáš (advisor)
The COVID-19 pandemic brought increased need for measuring human temperature. This thesis deals with solution of using low-cost thermal camera module FLIR Lepton 3.5 for measuring human forehead temperature and examines the real usability of this in terms of an accuracy. In the beginning, I describe various methods of measuring temperature and factors, which can influence the measurement. Subsequently, I examine various factors influencing human body and surface temperature. As of result of thesis is full design and implementation of thermal image system for temperature measurement, which I tested in different environmental conditions and compared its the precision against medical contactless infrared thermometer.
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Detection and Recognition of Gun in a Scene
Stuchlík, David ; Goldmann, Tomáš (referee) ; Drahanský, Martin (advisor)
The aim of the diploma thesis is to design an algorithm for detection and recognition of the type of gun in the image. Firstly, the existing methods and techniques for detecting the various objects are briefly introduced in the text of the thesis however, the methods are primarily focused on guns. Next, the basics of neural networks are briefly outlined, followed by an overview of the most common detectors for deep neural networks. The second half of the thesis is devoted to the implementation of an application for generating images based on a 3D model of a gun, the creation of a data file and learning of a neural network. Finally, the results obtained, which clearly indicate that in order to cover a huge variation of real weapons, is necessary to generate a large amount of training data based on many different 3D models, are briefly summarized in the conclusion of the thesis.
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Estimation of the Position of the Feet in a Image
Havlíček, Lukáš ; Orság, Filip (referee) ; Goldmann, Tomáš (advisor)
This thesis deals with the design and implementation of solution for estimating the position of the feet in the image, focusing on cases where the feet are covered in the image. The area of anthropometry, neural networks, solution design and implementation and subsequent experiments are described here. The solution uses own convolutional network, implemented using the Keras interface with the creation of own dataset with a focus on covered legs. In the experiments, other points on the body are used to increase accuracy.
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Simulation of Skin Diseases Effect Using GAN
Bak, Adam ; Goldmann, Tomáš (referee) ; Kanich, Ondřej (advisor)
Cieľom tejto diplomovej práce je vygenerovanie datasetu syntetických snímkov odtlačkov prstov, ktoré vykazujú známky kožných ochorení. Práca sa zaoberá poškodením spôsobeným kožnými ochoreniami v odtlačkoch prstov a generovaním syntetických odtlačkov prstov. Odtlačky prstov s prejavom kožných ochorení boli generované s využitím modelu založeného na Wasserstein GAN s penalizáciou gradientu. Na trénovanie GAN modelu bola použitá unikátna databáza odtlačkov prstov s prejavom kožných ochorení vytvorená na FIT VUT. Daný model bol trénovaný na troch typoch kožných ochorení: atopický ekzém, psoriáza a dyshidrotický ekzém. Sieť generátoru z natrénovaného WGAN-GP modelu bola použitá na vygenerovanie datasetov syntetických odtlačkov prstov. Tieto syntetické odtlačky boli porovnané s reálnymi odtlačkami s využitím NFIQ a FiQiVi nástrojov na určenie kvality spoločne s porovnaním rozložení lokácií a orientácii markantov v snímkoch odtlačkov prstov.
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Tracking People in Video Captured from a Drone
Lukáč, Jakub ; Orság, Filip (referee) ; Goldmann, Tomáš (advisor)
Práca rieši možnosť zaznamenávať pozíciu osôb v zázname z kamery drona a určovať ich polohu. Absolútna pozícia sledovanej osoby je odvodená vzhľadom k pozícii kamery, teda vzhľadom k umiestneniu drona vybaveného príslušnými senzormi. Zistené dáta sú po ich spracovaní vykreslené ako príslušné cesty. Práca si ďalej dáva za cieľ využiť dostupné riešenia čiastkových problémov: detekcia osôb v obraze, identifikácie jednotlivých osôb v čase, určenie vzdialenosti objektu od kamery, spracovanie potrebných senzorových dát. Následne využiť preskúmané metódy a navrhnúť riešenie, ktoré bude v reálnom čase pracovať na uvedenom probléme. Implementačná časť spočíva vo využití akcelerátoru Intel NCS v spojení s Raspberry Pi priamo ako súčasť drona. Výsledný systém je schopný generovať výstup o polohe osôb v zábere kamery a príslušne ho prezentovať.
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Generator of the Spatial Structure of the Cardiovascular System of the Human Hand Finger
Gajdoš, Samuel ; Goldmann, Tomáš (referee) ; Drahanský, Martin (advisor)
The work contains theoretical knowledge in the field of scanning the veins of the human finger as a biometric feature. In addition to the study of biometrics, the thesis also includes resources from the field of medicine, where it mainly studies the anatomy and distribution of organs in the human finger. Subsequently, the algorithm that was selected to generate the spatial structure of the cardiovascular system of the human finger is discussed. This is a Space Colonization algorithm that was not created for this purpose. However, with small modifications to the basic algorithm, this procedure proved to be relatively efficient and suitable for the given task. The work also describes the used programming environment Processing and its libraries, which were used in the implementation of the spatial model generator.
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Pedestrians Tracking in a Video Record from a Stationary Camera
Trnkal, Milan ; Orság, Filip (referee) ; Goldmann, Tomáš (advisor)
This bachelor thesis focuses on pedestrians tracking from camera. In this work, I have introduced several methods of computer vision suitable for detection and classification of people. I proposed an algorithm for detecting and tracking pedestrians based on detection of movement. The application uses a Histogram of Oriented Gradients and SVM classifier together with color histograms for identification of pedestrians. Pedestrian's trajectories are then rendered to the output. Last part of the thesis deals with testing and evaluation of the results of the algorithm.
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Detect the Use of Retouch Filters in a Face Image
Kraváček, Adam ; Drahanský, Martin (referee) ; Goldmann, Tomáš (advisor)
These days, altering images via filters is one of the easiest ways of enhancing its properties. Social networks like Instagram or Snapchat, focused primarily on image sharing, offer their users the option to apply filters on their images, which alter their colours to make them look better. If someone was to extract images from these platforms, many of these images would have a filter applied. This thesis explains the principles of these filters and focuses on detection of filters on facial images. Several approaches to detecting filters are being experimented with. Detection by analysis of histograms and detection by convolutional neural network achieve the best results and so are implemented in a program with a simple user interface. They achieved a success rate of 94,44% (histogram) and 99,10% (CNN). This thesis also investigates the impact of filters on facial recognition, where the impact varies depending on the filter used. Some filters have a significant impact on the rate of successful identifications, whereas others have little impact.In general, however, it can be said that the changes introduced by the application of filters are not negligible.
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Biometric Gateway Using Camera to Identify People
Jelen, Vilém ; Drahanský, Martin (referee) ; Goldmann, Tomáš (advisor)
Biometric gateways are used to quickly and accurately identify people. Of the biometric characteristics, iris, face and fingerprints are commonly used. By combining them, better identification results can be achieved. The aim of this thesis is to create such a biometric gateway together with the control application. A combination of iris of both eyes and face is used, which is captured by cameras from three angles to increase accuracy. Neural networks are used to detect and extract face features. Iris recognition is realized using Daugman's algorithm.
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