Hailo TAPPAS Installation

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• Hailo-8
  • Hailo-8 Overview
  • Software and Tools
    • Hailo AI Software Suite
    • Hailo Dataflow Compiler
    • Hailo AI Software Suite Installation
    • Hailo TAPPAS Installation
    • Hailo Commands
    • Hailo Model Scripts
• Hailo-15
  • Hailo-15 Overview
  • Hardware Setup
    • Hailo-15 SBC (Single-Board-Computer)
    • UART Connection Setup for Hailo-15
    • Serial_Monitoring
    • Hailo-15 SPI Programming
  • Image Building
    • Building a Yocto Image for Hailo-15
    • Creating a Bootable Micro SD Card for Hailo-15
    • Booting a Yocto Image on the Hailo-15 from an SD Card
  • AI Applications
    • Run an Example Application

• Hailo Available Source Code
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TAPPAS is Hailo's set of full application examples, implementing pipeline elements and pre-trained AI tasks. Demonstrating Hailo's system integration

First, after installing the 'Hailo AI Software Suite' with Hailo AI Software Suite Installation, you will find a TAPPAS folder in the /artifacts directory. But if you want to install TAPPAS isolated, you must need to follow this wiki.

TAPPAS Installation

Here are the steps to install TAPPAS:

1. Download TAPPAS

First, download the file tappas_VERSION_linux_installer.zip from the Hailo Developer Zone, as shown in the image below:

How to download TAPPAS

2. Unzip TAPPAS file

Next, move the .zip file to the folder where the Hailo AI Software Suite is located. Then, unzip the downloaded file using the following command:

unzip tappas_VERSION_linux_installer.zip

3. Install the dependencies

After unzipping the file, you need to install the required dependencies with the following commands:

sudo apt-get install -y rsync ffmpeg x11-utils python3-dev python3-pip python3-setuptools python3-virtualenv python-gi-dev libgirepository1.0-dev gcc-12 g++-12 cmake git libzmq3-dev

 sudo apt-get install -y libopencv-dev python3-opencv

sudo apt-get install libgstreamer1.0-dev libgstreamer-plugins-base1.0-dev libgstreamer-plugins-bad1.0-dev gstreamer1.0-plugins-base gstreamer1.0-plugins-good gstreamer1.0-plugins-bad gstreamer1.0-plugins-ugly gstreamer1.0-libav gstreamer1.0-tools gstreamer1.0-x gstreamer1.0-alsa gstreamer1.0-gl gstreamer1.0-gtk3 gstreamer1.0-qt5 gstreamer1.0-pulseaudio

sudo apt install python3-gi python3-gi-cairo gir1.2-gtk-3.0

sudo apt-get install libcairo2-dev

2. Install TAPPAS

First, activate your virtual environment using the following command:

source hailo_ai_sw_suite/hailo_venv/bin/activate

Next, define the TAPPAS_WORKSPACE by running the following command:

export TAPPAS_WORKSPACE=[directory]/hailo_ai_sw_suite/artifacts/tappas/

Note:

Replace [directory] with the path to the directory where the hailo_ai_sw_suite directory is located.

Then, execute the following command:

 ./install.sh --skip-hailort

Note:

The install.sh script is located in the TAPPAS[version] folder.

Run TAPPAS examples

TAPPAS examples

TAPPAS includes several examples. To access them, navigate to the following path:

$TAPPAS_WORKSPACE/hailo_ai_sw_suite/artifacts/tappas/apps/h8/gstreamer/general

In this directory, you will find the following examples:

cascading_networks  depth_estimation  face_recognition       license_plate_recognition           multistream_detection    python      sanity_pipeline century             detection         instance_segmentation  multi_person_multi_camera_tracking  multistream_multidevice  README.rst  tiling

When accessing each example, a .sh file with the same name as the folder will be found. The following demonstrates how to execute the 'detection' example.

First, navigate to the detection folder by running:

cd detection

Then, execute the example with the following command:

./detection.sh

This script will execute a GStreamer pipeline that plays a video and displays the predictions made by the model as shown bellow:

Detection TAPPAS example

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