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AI High-Performance Solution on FPGA

License: Apache License 2.0

C++ 38.75% Python 61.25%

ai convolutional-neural-network convolutional neural network fpga mpsoc xilinx inference training

p5-aionfpga's Introduction

P5-AIonFPGA

AI High-Performance Solution on FPGA

Repository Structure

This repository is structured as follows:

.
├── cad                 # CAD files of the Throwing Booth
├── doc                 # Documentation
│   ├── fact-sheet      # Fact Sheet
│   ├── presentation    # Presentation
│   ├── project-plan    # Project Plan
│   └── report          # Project Report
└── sw                  # Software
    ├── cam-interface   # Camera Interface
    └── python          # Python Scripts

Downloads

Documents

The compiled .pdf files can be downloaded from here directly:

Name	Download	SHA-256 checksum
Project Plan	.pdf	`75256fd6d28adf24114fa799d3c93957663c4cb0b65e296efe11dfb00c0f3305`
Project Report	.pdf	`1cc0ad37966c758b7be9acfc377187fbf6ed6d5011ed15d732652167e6351fd1`
Presentation	.pptx	`98d2db6d353c2f17faa2e8a698cb1655aaf4e8a67ca07d807dd26fe1fddd615f`
Fact Sheet	.pdf	`c5267fa345f4ed9caf45743bf182baf9919883fc5a41b03d3843d0520dc32060`

Compilation

The .pdf files can be built by running make in the respective directory:

$ make build clean

Mechanical

Name	CAD	Drawing
Mounting Adapter	.dxf	.pdf
Camera Protection	.dxf	.pdf
Rear Panel	.dxf	.pdf
Side Panel	.dxf	.pdf
Fibox		.pdf
Throwing Booth	.stp

Software

Name	Download	SHA-256 checksum
Camera Interface	.exe	`6fe96e48369980c44b1ec7f457cd6a8e701554c5ae7c9b6a90c904dd19e3de93`
Database	.csv	`12a48e5d6550a2349968a423ea74518bb0d7ee153c19a7675a96eec8ee55d664`

License

Copyright © 2019 Dominik Müller and Nico Canzani

This project is licensed under the terms of the Apache License 2.0 - see the LICENSE file for details

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