National Repository of Grey Literature 6 records found  Search took 0.01 seconds. 
Klasifikace dat v obraze pomocí nástrojů pro strojové učení v jazyce Python
Voronin, Artyom ; Appel, Martin (referee) ; Bastl, Michal (advisor)
This thesis introduces the issue of data classification in the image using tools for machine learning in Python. The aim is to verify the possibilities of overtraining existing models on their own data and evaluating the efficiency and complexity of the entire process. Subsequently, the processing of the achieved results in the form of a demonstration task, image capturing by a web camera and classification of the object in the field of view.
Computer vision for mechatronic applications using the OpenCV library
Černil, Martin ; Spáčil, Tomáš (referee) ; Bastl, Michal (advisor)
This thesis introduces a computer vision library OpenCV, which is subsequently implemented into three distinguishably different problems using Python programming language. These three problems are identifying an object and its location, object tracking and difference detection, safe distance qualification using a depth map.
Usage of two-dimensional barcodes for camera position estimation in AR applications
Boháč, Daniel ; Věchet, Stanislav (referee) ; Adámek, Roman (advisor)
This thesis deals with the creation of algorithm for camera pose estimation using QR codes in augmented reality applications. It must be able to work with multiple codes in the image. The OpenCV computer vision library and the Python programming language are used for this. The algorithm is then included in an easy-to-use library. The created solution is compared against ArUco markers. Finally, a sample application is created.
Usage of two-dimensional barcodes for camera position estimation in AR applications
Boháč, Daniel ; Věchet, Stanislav (referee) ; Adámek, Roman (advisor)
This thesis deals with the creation of algorithm for camera pose estimation using QR codes in augmented reality applications. It must be able to work with multiple codes in the image. The OpenCV computer vision library and the Python programming language are used for this. The algorithm is then included in an easy-to-use library. The created solution is compared against ArUco markers. Finally, a sample application is created.
Klasifikace dat v obraze pomocí nástrojů pro strojové učení v jazyce Python
Voronin, Artyom ; Appel, Martin (referee) ; Bastl, Michal (advisor)
This thesis introduces the issue of data classification in the image using tools for machine learning in Python. The aim is to verify the possibilities of overtraining existing models on their own data and evaluating the efficiency and complexity of the entire process. Subsequently, the processing of the achieved results in the form of a demonstration task, image capturing by a web camera and classification of the object in the field of view.
Computer vision for mechatronic applications using the OpenCV library
Černil, Martin ; Spáčil, Tomáš (referee) ; Bastl, Michal (advisor)
This thesis introduces a computer vision library OpenCV, which is subsequently implemented into three distinguishably different problems using Python programming language. These three problems are identifying an object and its location, object tracking and difference detection, safe distance qualification using a depth map.

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