Build from Source#

Build the Visual Pipeline and Platform Evaluation Tool from source to customize, debug, or extend its functionality. In this guide, the following tasks are covered:

  • Setting up the development environment.

  • Compiling the source code and resolving dependencies.

  • Generating a runnable build for local testing or deployment.

This guide is intended for developers working directly with the source code.

Prerequisites#

Before starting, ensure the following:

  • System requirements: The system meets the minimum requirements.

  • Docker platform: Docker is installed. For details, see the Docker installation guide.

  • Dependencies installed:

    • Git: Install Git.

    • Make: Standard build tool, typically provided by the build-essential (or equivalent) package on Linux.

For GPU and/or NPU usage, appropriate drivers must be installed. The recommended method is to use the DLS installation script, which detects available devices and installs the required drivers. Follow the Prerequisites section in:

This guide assumes basic familiarity with Git commands and terminal usage. For more information, see:

Steps to Build#

  1. Clone the repository:

    git clone https://github.com/open-edge-platform/edge-ai-libraries.git
cd ./edge-ai-libraries/tools/visual-pipeline-and-platform-evaluation-tool

  2. Build and start the application:

    make build run

Validation#

  1. Verify build success:

    • Logs should be checked for confirmation messages indicating that the microservice has started successfully.

  2. Access the application API documentation:

    • Open a browser and navigate to http://localhost:7860/docs to access the Swagger UI.

Known issues, limitations and troubleshooting#