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The Posthumanist Object
Adámková, Štěpánka ; Alaverdyan, Argišt (referee) ; Rathouský, Luděk (advisor)
In this bachelor’s thesis, its author will focus on corporeality and a connection of organic and synthetic. The author will examine how a synthetic material reacts with an organic body, will question possible ways to combine the dichotomy of synthetic and organic, and thus create their metamorphosis, their own worlds, an abstracted form of figuration. These topics will be expressed through wall objects; these objects are based on admiration of the human body which is encased and surrounded by synthetic materials, and it expresses its dynamism, muscle movement, corporeality. The author perceives and understands this relationship and connection contemplatively and romanticizes it. The bachelor’s thesis will ask questions about the perception of one’s own corporeality, about existence and humanity in the era of synthetics, virtuality and derealization. With contemplating these questions, the author will try to create their own form of corporeality, which they depicts with their own visual nomenclature, their own forms of synthetic-organic life – humanity submits to the artificial world and, conversely, creates a new post-humanist body for which a new definition needs to be created. The goal of the work is a series of large-format wall objects. Wall objects will be made using spray and stencils. The aim of the author’s bachelor’s thesis is to, through these wall objects, visually represent their contemplative relationship to the connection of organic and synthetic, physical and artificial, static and moving.
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Detection of Traffic Signs in Image and Video
Kočica, Filip ; Hradiš, Michal (referee) ; Herout, Adam (advisor)
This thesis deals with the traffic sign detection problematics using modern techniques in image processing. Special architecture of deep convolutional neural network YOLO, i.e. You Only Look Once, which performs both detection and classification in one step, has been used. This architecture allows object detector to work on very high speeds. This thesis also deals with comparison of models trained on real and synthetic datasets. The best model trained on real dataset has reached 63.4% mAP success rate and 82.3% mAP when trained on synthetic dataset. Evaluation of one image takes about ~40.4ms on average graphics processing unit and ~3.9ms on higher than average graphics processing unit. The benefit of this thesis is that under certain conditions neural network model trained on synthetic data can achieve same or even better results than model trained on real data. This may simplify process of object detector development since it is not necessary to annotate large number of images.
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Detection of Traffic Signs in Image and Video
Kočica, Filip ; Hradiš, Michal (referee) ; Herout, Adam (advisor)
This thesis deals with the traffic sign detection problematics using modern techniques in image processing. Special architecture of deep convolutional neural network YOLO, i.e. You Only Look Once, which performs both detection and classification in one step, has been used. This architecture allows object detector to work on very high speeds. This thesis also deals with comparison of models trained on real and synthetic datasets. The best model trained on real dataset has reached 63.4% mAP success rate and 82.3% mAP when trained on synthetic dataset. Evaluation of one image takes about ~40.4ms on average graphics processing unit and ~3.9ms on higher than average graphics processing unit. The benefit of this thesis is that under certain conditions neural network model trained on synthetic data can achieve same or even better results than model trained on real data. This may simplify process of object detector development since it is not necessary to annotate large number of images.
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Syntetické pojmy a priori
Duží, M. ; Materna, Pavel
Concepts are explicated as objective procedures ("constructions" in transparent intensional logic). All mathematical concepts are a priori. Analytic mathematical concepts are effective procedures that compute some recursive functions. Synthetic mathematical concepts either identify a non-recursive function or identify a recursive function in a non-effective way. There are more synthetic concepts a priori than analytic concepts a priori.
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Synthetic Concepts a priori
Materna, Pavel
The rational core of Kant's claim that there are synthetic judgments a priori can be formulated as follows: some a priori (first of all mathematical) concepts cannot effectively determine their object.
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