Documentation
3D data acquisition, for instance by using drones or helicopters, is often associated with high costs. Therefore, the key consideration becomes: what should be done with the acquired data? AIPHA addresses this concern by offering a comprehensive framework for large-scale cloud computing, enabling users to extract maximum insights from their data. AIPHA primarily focuses on providing an easy-to-use platform for 3D point cloud and 2D image processing. It seamlessly integrates both traditional computer vision techniques and deep learning methods.
This documentation provides a comprehensive overview of the AIPHA framework. It is divided into the following sections:
Getting Started
Operators
Processing Pipelines
API
The Getting Started section provides a brief overview of the installation process and the various ways in which AIPHA can be used. The Operators section provides a brief overview of the operators available in AIPHA. The Processing Pipelines section provides a brief overview of ready to use processing pipelines that can help you to perform various tasks. The API section provides a brief overview of the API.
Getting Started
In this section, we elucidate the various methods available for harnessing the potential of the AIPHA framework. We provide a brief overview of the installation process and the various ways in which AIPHA can be used.
Getting Started
Operators
AIPHA provides a wide range of operators for processing 3D point clouds and 2D images. These operators can be used to create processing pipelines for a variety of applications. The following section provides a brief overview of the operators available in AIPHA.
Processing Pipelines
This section provides a brief overview of ready to use processing pipelines that can help you to perform various tasks.
Application Programming Interface
AIPHA provides a comprehensive API for users to create their own operators and pipelines. The following section provides a brief overview of the API.
API