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Virtex-based implementation of real-time image processing algorithms for city traffic control. Contribution Initially, this master aimed to explore, benchmark and optimize one or more commercial approaches to the acceleration of convolutional neural networks on FPGAs, with a focus on embedded systems. You signed out in another tab or window.

Abstract Image Understanding is becoming a vital feature in ever more applications ranging from medical diagnostics to autonomous vehicles. You signed out in another tab or window. Initially, this master aimed to explore, benchmark and optimize one or more commercial approaches to the acceleration of convolutional neural networks on FPGAs, with a focus on embedded systems. In addition, the Netscope CNN Analyzer is introduced, a custom tool for visualizing, analyzing and editing convolutional neural network topologies. Convolutional Neural Networks CNNs presently achieve record-breaking accuracies in all image understanding benchmarks, but have a very high computational complexity. Permalink Failed to load latest commit information.

This Masters Thesis is brought to you for free and open access by the Student the Biocybernetic Laboratory 1. Testing and developing of the RETINA Board. Mar 11, Master's thesis completed in Electronics Systems by a 3D graphics system on

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  1. Филатов Степан Максимович

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