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1. FPGA AI Suite PCIe-based Design Example User Guide
2. About the PCIe* -based Design Example
3. Getting Started with the FPGA AI Suite PCIe* -based Design Example
4. Building the 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 Arria® 10 GX FPGA
A. FPGA AI Suite PCIe-based Design Example User Guide Archives
B. FPGA AI Suite PCIe-based Design Example User Guide Document Revision History
5.1. Exporting Trained Graphs from Source Frameworks
5.2. Compiling Exported Graphs Through the FPGA AI Suite
5.3. Compiling the PCIe* -based Example Design
5.4. Programming the FPGA Device ( Arria® 10)
5.5. Programming the FPGA Device ( Agilex™ 7)
5.6. Performing Accelerated Inference with the dla_benchmark Application
5.7. Running the Ported OpenVINO™ Demonstration Applications
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5.7.1. Example Running the Object Detection Demonstration Application
You must download the following items:
- yolo-v3-tf from the OpenVINO™ Model Downloader. The command should look similar to the following command:
python3 <path_to_installation>/open_model_zoo/omz_downloader \ --name yolo-v3-tf \ --output_dir <download_dir>
From the downloaded model, generate the .bin/.xml files:python3 <path_to_installation>/open_model_zoo/omz_converter \ --name yolo-v3-tf \ --download_dir <download_dir> \ --output_dir <output_dir> \ --mo <path_to_installation>/model_optimizer/mo.py
Model Optimizer generates an FP32 version and an FP16 version. Use the FP32 version.
- Input video from: https://github.com/intel-iot-devkit/sample-videos.
- The recommended video is person-bicycle-car-detection.mp4
To run the object detection demonstration application,
- Ensure that demonstration applications have been built with the following command:
build_runtime.sh -build-demo
- Ensure that the FPGA has been configured with the Generic bitstream.
- Run the following command:
./runtime/build_Release/object_detection_demo/object_detection_demo \ -d HETERO:FPGA,CPU \ -i <path_to_video>/input_video.mp4 \ -m <path_to_model>/yolo_v3.xml \ -arch_file=$COREDLA_ROOT/example_architectures/A10_Generic.arch \ -plugins_xml_file $COREDLA_ROOT/runtime/plugins.xml \ -t 0.65 \ -at yolo