This repository contains source code of Kria SOM AIBox-ReID accelerated application.

The AI Box with ReID accelerated application performs distributed, scalable, multi-stream tracking and Re-Identification. The application leverages machine learning for pedestrian tracking and decoding multiple camera streams and performs pedestrian detection and tracking across camera feeds. Common applications include smart cities, retail analytics, and video analytics.

For more details refer AIBox ReID Landing Page

If you want to cross compile the source in Linux PC machine, follow these steps, otherwise skip this section.

1. Refer to the K260 SOM Starter Kit Tutorial to build the cross-compilation SDK, and install it to the path you choose or default. Suppose it's SDKPATH.

2. Run "./build.sh ${SDKPATH}" in the source code folder of current application, to build the application.

3. The build process in 2 will produce a rpm package aibox-reid-1.0.1-1.aarch64.rpm under build/, upload to the board, and run "rpm -ivh --force ./aibox-reid-1.0.1-1.aarch64.rpm" to update install.

A step by step tutorial and details on how to setup the board and run this application is given in the AIBox ReID Documentation. Please visit the documentation page for more details.

• The application is installed as:

  • Binary File Directory: /opt/xilinx/bin

    filename	description
    aibox-reid	main app

  • Configuration file directory: /opt/xilinx/share/vvas/aibox-reid

    filename	description
    ped_pp.json	Config of preprocess for refinedet.
    refinedet.json	Config of refinedet.
    crop.json	Config of cropping for reid.
    reid.json	Config of reid.
    draw_reid.json	Config of final results drawing.

  • Configuration File Directory: /opt/xilinx/kv260-aibox-reid/share/vitis_ai_library/models

    The model files integrated in the application use the B3136 DPU configuration.

    foldername	description
    personreid-res18_pt	Model files for reid
    refinedet_pruned_0_96	Model files for refinedet

  • Jupyter Notebook Directory: /opt/xilinx/share/notebooks/aibox-reid

    filename	description
    aibox-reid.ipynb	Jupyter notebook file for aibox-reid.

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Copyright 2022 Xilinx Inc.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
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    http://www.apache.org/licenses/LICENSE-2.0

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