Skip to main content

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


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

particledetection-0.4.2.dev28.tar.gz (76.8 kB view details)

Uploaded Source

Built Distribution

particledetection-0.4.2.dev28-py3-none-any.whl (100.8 kB view details)

Uploaded Python 3

File details

Details for the file particledetection-0.4.2.dev28.tar.gz.

File metadata

  • Download URL: particledetection-0.4.2.dev28.tar.gz
  • Upload date:
  • Size: 76.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.11.9 Linux/6.5.0-1021-azure

File hashes

Hashes for particledetection-0.4.2.dev28.tar.gz
Algorithm Hash digest
SHA256 7db50297e82e2a59f29a6c452731fc67af896a9a6778a05f748415b81a4c2231
MD5 596e8e58c58752542ed96d8debd4dc98
BLAKE2b-256 f2d8c55dc0a25f125ff36da3eed58e39031c3086f747a9896a770572851c194c

See more details on using hashes here.

File details

Details for the file particledetection-0.4.2.dev28-py3-none-any.whl.

File metadata

File hashes

Hashes for particledetection-0.4.2.dev28-py3-none-any.whl
Algorithm Hash digest
SHA256 7644ff59cac8649c485c2f6bf92e14880489619d6cc5f0f29c8d055044163370
MD5 93b4ea4ba78e666be9cebdc56c27504b
BLAKE2b-256 0cb1752cf93805e4c72f7fe4aeb86fb535e625259970700237ce2365e6bcbbd2

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page