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-1.1.9.tar.gz (76.5 kB view details)

Uploaded Source

Built Distribution

oneat-1.1.9-py3-none-any.whl (85.9 kB view details)

Uploaded Python 3

File details

Details for the file oneat-1.1.9.tar.gz.

File metadata

  • Download URL: oneat-1.1.9.tar.gz
  • Upload date:
  • Size: 76.5 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-1.1.9.tar.gz
Algorithm Hash digest
SHA256 732e5a7c6e3637c97ca3cbe08aa6da2bda04e63c9ec4c3e7d336a40fae2af22f
MD5 3477f33b38556a9e78950055978081b7
BLAKE2b-256 7652f5f31ded79558f8108bcf6ed25c1c138196c3fc8435c8f0d7cbc12f024c6

See more details on using hashes here.

File details

Details for the file oneat-1.1.9-py3-none-any.whl.

File metadata

  • Download URL: oneat-1.1.9-py3-none-any.whl
  • Upload date:
  • Size: 85.9 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-1.1.9-py3-none-any.whl
Algorithm Hash digest
SHA256 a43980ec8bedeb359267e13cdbb5017b53967103fa607f361fc1b3a4ebc8a9cb
MD5 2643c23fd21abeda3ee523a271d27fc6
BLAKE2b-256 d3339e2447ccaf21a82e319430e82e51432edfe014d57b5e2fb7b28f39da8dae

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