napari AIDeveloper

napari-aideveloper

napari_aideveloper is a napari-plugin deived from AIDeveloper that allows you to train, evaluate and apply deep neural nets for image classification within a graphical user-interface (GUI).

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napari_aideveloper is a napari-plugin derived from AIDeveloper that allows you to train, evaluate, and apply deep neural nets for image classification within a graphical user-interface (GUI).

Installation

You can install napari-aideveloper via pip:

pip install napari-aideveloper

Introduction

Main functions


Build

1. Load data

Drag and drop your data in .rtdc (HDF5) format into the file table and set the class and training/validation. alt Load_data

2. Choose Neural Networks

alt Load_data

3. Set model storage path

alt Load_data

4. Start fitting

alt Load_data alt Load_data

Preview image

alt Load_data

Image augmentation

alt Load_data


History

1. Load meta data

alt Load_data

2. Check model details

alt Load_data

3. Rolling median & Linear fit

alt Load_data

Contributing

Contributions are very welcome. You can submit your pull request on GitHub. Tests can be run with tox, please ensure the coverage at least stays the same before you submit a pull request.

License

Distributed under the terms of the BSD-3 license, "napari-aideveloper" is free and open source software

Issues

If you encounter any problems, please file an issue along with a detailed description.


This napari plugin was generated with Cookiecutter using @napari's cookiecutter-napari-plugin template.

Version:

  • 0.0.4

Last updated:

  • 17 June 2022

First released:

  • 20 May 2022

License:

Supported data:

  • Information not submitted

Plugin type:

GitHub activity:

  • Stars: 7
  • Forks: 1
  • Issues + PRs: 1

Python versions supported:

Operating system:

Requirements:

  • numpy
  • magicgui
  • qtpy
  • dclab (>=0.39.9)
  • h5py (>=3.6.0)
  • Keras-Applications (>=1.0.8)
  • keras (>=2.8.0)
  • keras-metrics (>=1.1.0)
  • napari-plugin-engine (>=0.2.0)
  • napari (>=0.4.14)
  • onnx (>=1.11.0)
  • opencv-contrib-python-headless (>=4.5.5.62)
  • openpyxl (>=3.0.9)
  • pandas (>=1.4.1)
  • Pillow (>=9.1.1)
  • psutil (>=5.9.0)
  • pyqtgraph (>=0.12.3)
  • pytest (>=7.1.2)
  • scikit-learn (>=1.1.1)
  • scipy (>=1.8.0)
  • setuptools (>=58.0.4)
  • six (>=1.16.0)
  • tensorboard (>=2.8.0)
  • tensorflow (>=2.8.0)
  • tf2onnx (>=1.9.3)
  • xlrd (>=2.0.1)

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