Skip to main content

Static and Dynamic classification tool.

Project description

Oneat

PyPI version

This project provides static and action classification networks for LSTM based networks to recoganize cell events such as division, apoptosis, cell rearrangement for various imaging modalities.

Installation & Usage

Installation

This package can be installed by

pip install --user oneat

additionally ensure that your installed tensorflow version is not over 2.3.4

If you are building this from the source, clone the repository and install via

git clone https://github.com/Kapoorlabs-CAPED/CAPED-AI-oneat/

cd CAPED-AI-oneat

pip install --user -e .

# or, to install in editable mode AND grab all of the developer tools
# (this is required if you want to contribute code back to NapaTrackMater)
pip install --user -r requirements.txt

Pipenv install

Pipenv allows you to install dependencies in a virtual environment.

# install pipenv if you don't already have it installed
pip install --user pipenv

# clone the repository and sync the dependencies
git clone https://github.com/Kapoorlabs-CAPED/CAPED-AI-oneat/
cd CAPED-AI-oneat
pipenv sync

# make the current package available
pipenv run python setup.py develop

# you can run the example notebooks by starting the jupyter notebook inside the virtual env
pipenv run jupyter notebook

Examples

oneat comes with different options to combine segmentation with classification or to just use classification independently of any segmentation during the model prediction step. We summarize this in the table below:

Example Dataset DataSet Trained Model Notebook Code Heat Map Csv output Visualization Notebook
Example timelapse Oneat model Colab Notebook Heat Map Csv File [Napari notebook] ()
Example timelapse Oneat model Colab Notebook Heat Map Csv File [Napari notebook] ()
Example timelapse Oneat model Colab Notebook Heat Map Csv File [Napari notebook] ()
Example timelapse Oneat model Colab Notebook Heat Map Csv File [Napari notebook] ()
Example timelapse Oneat model Colab Notebook Heat Map Csv File [Napari notebook] ()
Example timelapse Oneat model Colab Notebook Heat Map Csv File [Napari notebook] ()

Troubleshooting & Support

  • The image.sc forum is the best place to start getting help and support. Make sure to use the tag oneat, since we are monitoring all questions with this tag.
  • If you have technical questions or found a bug, feel free to open an issue.

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

oneat-2.3.5.tar.gz (78.0 kB view details)

Uploaded Source

Built Distribution

oneat-2.3.5-py3-none-any.whl (87.5 kB view details)

Uploaded Python 3

File details

Details for the file oneat-2.3.5.tar.gz.

File metadata

  • Download URL: oneat-2.3.5.tar.gz
  • Upload date:
  • Size: 78.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.0

File hashes

Hashes for oneat-2.3.5.tar.gz
Algorithm Hash digest
SHA256 47cde56e74ef27f80973fae22a7b8b21863f46f6817b93892574e0996fe218a0
MD5 290327499ac5acf15d3ed0eec532f65c
BLAKE2b-256 908ef8678f5fd858c59456523fae5a761edce473269bdcf12e18a003f9e85314

See more details on using hashes here.

File details

Details for the file oneat-2.3.5-py3-none-any.whl.

File metadata

  • Download URL: oneat-2.3.5-py3-none-any.whl
  • Upload date:
  • Size: 87.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.0

File hashes

Hashes for oneat-2.3.5-py3-none-any.whl
Algorithm Hash digest
SHA256 15ffa77e604bdb884b6496cf678756d24b7682d2e0fe9107cd91e73f8a10eddd
MD5 1832bfc7d7109b6cca5a941cbfd5be02
BLAKE2b-256 2f01afd4087f2ea745f574fed1f1f1911ccaceef1bf752861494baa032cbecd2

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