Intel® FPGA AI Suite: PCIe-based Design Example User Guide

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ID 768977
Date 12/01/2023
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Document Table of Contents
Document Table of Contents x
1. Intel® FPGA AI Suite PCIe-based Design Example User Guide 2. About the PCIe* -based Design Example 3. Getting Started with the Intel® FPGA AI Suite PCIe* -based Design Example 4. Building the Intel® FPGA AI Suite Runtime 5. Running the Design Example Demonstration Applications 6. Design Example Components 7. Design Example System Architecture for the Intel PAC with Intel® Arria® 10 GX FPGA A. Intel® FPGA AI Suite PCIe-based Design Example User Guide Archives B. Intel® FPGA AI Suite PCIe-based Design Example User Guide Document Revision History
4. Building the Intel® FPGA AI Suite Runtime x
4.1. CMake Targets 4.2. Build Options
5. Running the Design Example Demonstration Applications x
5.1. Exporting Trained Graphs from Source Frameworks 5.2. Compiling Exported Graphs Through the Intel FPGA AI Suite 5.3. Compiling the PCIe* -based Example Design 5.4. Programming the FPGA Device ( Intel® Arria® 10) 5.5. Programming the FPGA Device ( Intel Agilex® 7) 5.6. Performing Accelerated Inference with the dla_benchmark Application 5.7. Running the Ported OpenVINO™ Demonstration Applications
5.6. Performing Accelerated Inference with the dla_benchmark Application x
5.6.1. Inference on Image Classification Graphs 5.6.2. Inference on Object Detection Graphs 5.6.3. Additional dla_benchmark Options
5.6.2. Inference on Object Detection Graphs x
5.6.2.1. The mAP and COCO AP Metrics 5.6.2.2. Specifying Ground Truth 5.6.2.3. Example of Inference on Object Detection Graphs
5.7. Running the Ported OpenVINO™ Demonstration Applications x
5.7.1. Example Running the Object Detection Demonstration Application
6. Design Example Components x
6.1. Build Script 6.2. Example Architecture Bitstream Files 6.3. Software Components 6.4. Software Interface to the BSP
6.1. Build Script x
6.1.1. Build Script Options 6.1.2. Script Flow
6.3. Software Components x
6.3.1. OpenVINO™ FPGA Runtime Plugin 6.3.2. Intel FPGA AI Suite Runtime 6.3.3. BSP Driver
7. Design Example System Architecture for the Intel PAC with Intel® Arria® 10 GX FPGA x
7.1. System Overview 7.2. Hardware
7.2. Hardware x
7.2.1. PLL Adjustment
1. Intel® FPGA AI Suite PCIe-based Design Example User Guide
2. About the PCIe* -based Design Example
3. Getting Started with the Intel® FPGA AI Suite PCIe* -based Design Example
4. Building the Intel® FPGA AI Suite Runtime
5. Running the Design Example Demonstration Applications
6. Design Example Components
7. Design Example System Architecture for the Intel PAC with Intel® Arria® 10 GX FPGA
A. Intel® FPGA AI Suite PCIe-based Design Example User Guide Archives
B. Intel® FPGA AI Suite PCIe-based Design Example User Guide Document Revision History

5.6.2. Inference on Object Detection Graphs

To enable the accuracy checking routine for object detection graphs, you can use the -enable_object_detection_ap=1 flag.

This flag lets the dla_benchmark calculate the mAP and COCO AP for object detection graphs. Besides, you need to specify the version of the YOLO graph that you provide to the dla_benchmark through the –yolo_version flag. Currently, this routine is known to work with YOLOv3 (graph version is yolo-v3-tf) and TinyYOLOv3 (graph version is yolo-v3-tiny-tf).


Section Content
The mAP and COCO AP Metrics
Specifying Ground Truth
Example of Inference on Object Detection Graphs

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