Shypd.aiThe largest open index of AI toolsZynqNet is an open-source project providing an FPGA-accelerated embedded convolutional neural network. It includes a master thesis project report, CNN topology exploration tools, and FPGA accelerator code.
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ZynqNet is an open-source project stemming from a Master Thesis, focusing on FPGA-accelerated embedded convolutional neural networks. It provides a comprehensive solution for image classification on embedded systems, featuring the ZynqNet CNN, an optimized and customized CNN topology, and the ZynqNet FPGA Accelerator, an FPGA-based architecture for its evaluation. The project also includes the Netscope CNN Analyzer, a custom tool for visualizing, analyzing, and editing CNN topologies. ZynqNet is designed for high efficiency, achieving 84.5% top-5 accuracy with minimal computational complexity, making it ideal for real-time and power-constrained applications. The repository offers the full project report, CNN prototxt, pretrained weights, HLS C++ source code for the accelerator, and firmware for the Zynq XC-7Z045 ARM processors.
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