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-0.4.3.dev12.tar.gz (76.9 kB view details)

Uploaded Source

Built Distribution

particledetection-0.4.3.dev12-py3-none-any.whl (100.9 kB view details)

Uploaded Python 3

File details

Details for the file particledetection-0.4.3.dev12.tar.gz.

File metadata

  • Download URL: particledetection-0.4.3.dev12.tar.gz
  • Upload date:
  • Size: 76.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.11.9 Linux/6.5.0-1025-azure

File hashes

Hashes for particledetection-0.4.3.dev12.tar.gz
Algorithm Hash digest
SHA256 f1833478d95308881592a020c360fc5372234fa1579e231743cc3cf861289387
MD5 a266cefc98d26b2e0183681859a88e15
BLAKE2b-256 63c90b770a4b63c39f84c26f67e1917bbd4b4929cdc8ae2fa727d5ecccda55ad

See more details on using hashes here.

File details

Details for the file particledetection-0.4.3.dev12-py3-none-any.whl.

File metadata

File hashes

Hashes for particledetection-0.4.3.dev12-py3-none-any.whl
Algorithm Hash digest
SHA256 81d2113eb53de2f8284d7f18bc05afc4f78168e6078029b9c9ed75388636b897
MD5 e7b9169577ad1ec8130750c1e7732596
BLAKE2b-256 a56d10aba7e45d662c06216edf2a730462206c9b0c52b6399432eff91cff4539

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