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-1.0.6.tar.gz (75.7 kB view details)

Uploaded Source

Built Distribution

oneat-1.0.6-py3-none-any.whl (85.2 kB view details)

Uploaded Python 3

File details

Details for the file oneat-1.0.6.tar.gz.

File metadata

  • Download URL: oneat-1.0.6.tar.gz
  • Upload date:
  • Size: 75.7 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-1.0.6.tar.gz
Algorithm Hash digest
SHA256 e738a9ccce9ff709a932b6ffe02d5455889fe8e907dc66e01913cb114421c9de
MD5 7144710dd044da295b8a528875e78ec0
BLAKE2b-256 85692bd6ca8dc5b63123a7d79a7c36a7fb078d64e0fde4e0bddcbb036336d6c5

See more details on using hashes here.

File details

Details for the file oneat-1.0.6-py3-none-any.whl.

File metadata

  • Download URL: oneat-1.0.6-py3-none-any.whl
  • Upload date:
  • Size: 85.2 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-1.0.6-py3-none-any.whl
Algorithm Hash digest
SHA256 c4f69da07bddfc278fb98b26f3fa53199a44d22a51447766a83d68cdb2fc2316
MD5 49fd32e7d0c9b3c7d00f06d9de369f0a
BLAKE2b-256 515d9d5e1dfc6043be06937b10d955a24d06de55365d81229c47c7f36c45841d

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