hunterlew/convolution_network_on_FPGA
CNN acceleration on virtex-7 FPGA with verilog HDL
This project helps embedded systems engineers and researchers accelerate the processing of Synthetic Aperture Radar (SAR) target classification. It takes a pre-trained SAR target classification network, converts its weights and inputs, and then runs the classification inference on a Virtex-7 FPGA. The result is extremely fast image classification, completing in under 1 millisecond per image.
475 stars. No commits in the last 6 months.
Use this if you need to perform very high-speed, low-latency SAR target classification inference directly on an FPGA.
Not ideal if you are looking to train neural networks on an FPGA or if your application doesn't involve SAR data or real-time embedded classification.
Stars
475
Forks
138
Language
Verilog
License
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Last pushed
Feb 27, 2018
Commits (30d)
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