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Tools to track particles with machine learning.

Project description

Particle Detection

This repository customizes the training, inference and visualization code of the Detectron2 framework to accurately detect rod-like particles. It additionally provides functionality to track these detected particles over multiple frames and reconstruct 3D representations of these observed granular gases.

Rod Detection Output Image

Please refer to the documentation for more detailed information.

Installation

Install the default version using pip:

pip install ParticleDetection

Or use one of the options described in the documentation. Some options require manual installation of additional libraries.

pip install ParticleDetection[OPTION]

It is also possible to install it directly from GitHub:

pip install 'git+https://github.com/ANP-Granular/ParticleTracking.git#egg=particledetection&subdirectory=ParticleDetection'
pip install 'particledetection[DETECTRON] @ git+https://github.com/ANP-Granular/ParticleTracking.git#egg=
particledetection&subdirectory=ParticleDetection'

Project details


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particledetection-0.4.2.dev3.tar.gz (76.7 kB view hashes)

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particledetection-0.4.2.dev3-py3-none-any.whl (100.7 kB view hashes)

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