Intel® FPGA AI Suite: Getting Started Guide

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ID 768970
Date 7/17/2023
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Document Table of Contents
Document Table of Contents x
1. Intel® FPGA AI Suite Getting Started Guide 2. Intel® FPGA AI Suite Components 3. Intel® FPGA AI Suite Installation Overview 4. Installing the Intel® FPGA AI Suite Compiler and IP Generation Tools 5. Installing the Intel® FPGA AI Suite PCIe-Based Design Example Prerequisites 6. Intel® FPGA AI Suite Quick Start Tutorial A. Intel® FPGA AI Suite Getting Started Guide Archives B. Intel® FPGA AI Suite Getting Started Guide Document Revision History
3. Intel® FPGA AI Suite Installation Overview x
3.1. Intel® FPGA AI Suite Directory Structure
4. Installing the Intel® FPGA AI Suite Compiler and IP Generation Tools x
4.1. Supported FPGA Families 4.2. Operating System Prerequisites 4.3. Installing the Intel® FPGA AI Suite With System Package Management Tools 4.4. Installing OpenVINO™ Toolkit 4.5. Installing Intel® Quartus® Prime Pro Edition Software 4.6. Setting Required Environment Variables 4.7. Installing Intel® Threading Building Blocks (TBB) 4.8. Finalizing Your Intel® FPGA AI Suite Installation
4.3. Installing the Intel® FPGA AI Suite With System Package Management Tools x
4.3.1. Installing the Intel® FPGA AI Suite Into an Alternative Location
5. Installing the Intel® FPGA AI Suite PCIe-Based Design Example Prerequisites x
5.1. PCIe-based Design Example Hardware Prerequisites 5.2. PCIe-based Design Example Operating System Prerequisites 5.3. PCIe-based Design Example Software Prerequisites
5.3. PCIe-based Design Example Software Prerequisites x
5.3.1. Additional Software Prerequisites for the PCIe-based Design Example for Intel Agilex® 7 Devices 5.3.2. Additional Software Prerequisites for the PCIe-Based Design Example for Intel® Arria® 10 Devices
6. Intel® FPGA AI Suite Quick Start Tutorial x
6.1. Creating a Working Directory 6.2. Preparing OpenVINO™ Model Zoo 6.3. Preparing a Model 6.4. Running the Graph Compiler 6.5. Preparing an Image Set 6.6. Programming the FPGA Device 6.7. Performing Inference on the PCIe-Based Example Design 6.8. Building an FPGA Bitstream for the PCIe Example Design 6.9. Building the Example FPGA Bitstreams 6.10. Preparing a ResNet50 v1 Model 6.11. Performing Inference on the Inflated 3D (I3D) Graph 6.12. Performing Inference on YOLOv3 and Calculating Accuracy Metrics
6.12. Performing Inference on YOLOv3 and Calculating Accuracy Metrics x
6.12.1. Preparing a YOLOv3 Model 6.12.2. Preparing a COCO Validation Dataset and Annotations 6.12.3. Inference on YOLOv3 and Calculating Accuracy Scores
1. Intel® FPGA AI Suite Getting Started Guide
2. Intel® FPGA AI Suite Components
3. Intel® FPGA AI Suite Installation Overview
4. Installing the Intel® FPGA AI Suite Compiler and IP Generation Tools
5. Installing the Intel® FPGA AI Suite PCIe-Based Design Example Prerequisites
6. Intel® FPGA AI Suite Quick Start Tutorial
A. Intel® FPGA AI Suite Getting Started Guide Archives
B. Intel® FPGA AI Suite Getting Started Guide Document Revision History

6.12.2. Preparing a COCO Validation Dataset and Annotations

Use the publicly available COCO 2017 validation images as input to the model and the COCO 2017 annotations as the ground-truth.

You can download the images from the following URL: http://images.cocodataset.org/zips/val2017.zip.

You can download the annotations from the following URL: http://images.cocodataset.org/annotations/annotations_trainval2017.zip.

  1. Build the runtime with the following commands (add the -de10_agilex argument to build_runtime.sh if targeting the Terasic* DE10-Agilex Development Board): 
    cd $COREDLA_WORK/runtime
rm -rf build_Release
./build_runtime.sh
  2. Download and extract both .zip files into the coco-images directory:
    cd $COREDLA_WORK/runtime
mkdir coco-images
cd coco-images
wget http://images.cocodataset.org/zips/val2017.zip
wget http://images.cocodataset.org/annotations/annotations_trainval2017.zip
unzip annotations_trainval2017.zip
unzip val2017.zip
  3. The dla_benchmark application allows only plain text ground truth files, so use the convert_annotations.py script to setup the groundtruth directory as follows:
    cd $COREDLA_WORK/runtime/coco-images
mkdir groundtruth
python3 \
  ../dla_benchmark/convert_annotations.py \
  annotations/instances_val2017.json \
  groundtruth
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