Intel® FPGA AI Suite: Getting Started Guide

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ID 768970
Date 4/05/2023
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Document Table of Contents
Document Table of Contents x
1. Intel® FPGA AI Suite Getting Started Guide 2. About the Intel® FPGA AI Suite 3. Installing the Intel® FPGA AI Suite 4. Installing the Intel® FPGA AI Suite PCIe-Based Design Example Prerequisites 5. Installing the Intel FPGA AI Suite Compiler and IP Generation Tools 6. Intel® FPGA AI Suite Quick Start Tutorial A. Installation Notes for Other Operating Systems B. Intel® FPGA AI Suite Getting Started Guide Archives C. Intel® FPGA AI Suite Getting Started Guide Document Revision History
3. Installing the Intel® FPGA AI Suite x
3.1. Intel® FPGA AI Suite Directory Structure
4. Installing the Intel® FPGA AI Suite PCIe-Based Design Example Prerequisites x
4.1. PCIe-based Design Example Hardware Prerequisites 4.2. PCIe-based Design Example Operating System Prerequisites 4.3. PCIe-based Design Example Software Prerequisites
4.3. PCIe-based Design Example Software Prerequisites x
4.3.1. Additional Software Prerequisites for the PCIe-based Design Example for Intel Agilex® 7 Devices 4.3.2. Additional Software Prerequisites for the PCIe-Based Design Example for Intel® Arria® 10 Devices
5. Installing the Intel FPGA AI Suite Compiler and IP Generation Tools x
5.1. Supported FPGA Families 5.2. Operating System Prerequisites 5.3. Software Prerequisites 5.4. Installing the Intel® FPGA AI Suite Using System Package Management Tools 5.5. Installing the Intel® FPGA AI Suite Into an Alternative Location
5.3. Software Prerequisites x
5.3.1. OpenVINO™ Toolkit 5.3.2. Intel® Quartus® Prime Pro Edition Software
6. Intel® FPGA AI Suite Quick Start Tutorial x
6.1. Creating a Working Directory 6.2. Preparing OpenVINO™ Model Zoo and Model Optimizer 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
A. Installation Notes for Other Operating Systems x
A.1. CentOS* 7 Installation Notes
1. Intel® FPGA AI Suite Getting Started Guide
2. About the Intel® FPGA AI Suite
3. Installing the Intel® FPGA AI Suite
4. Installing the Intel® FPGA AI Suite PCIe-Based Design Example Prerequisites
5. Installing the Intel FPGA AI Suite Compiler and IP Generation Tools
6. Intel® FPGA AI Suite Quick Start Tutorial
A. Installation Notes for Other Operating Systems
B. Intel® FPGA AI Suite Getting Started Guide Archives
C. 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 agument 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
mkdir groundtruth
python3 ../dla_benchmark/convert_annotations.py annotations/instances_val2017.json \
  groundtruth
 
  
 
 
  


        
    

    

        
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