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

    Release date:

    • 17 June 2022

    First released:

    • 20 May 2022

    License:

    • BSD-3-Clause

    Supported data:

    • Information not submitted

    Plugin type:

    • Information not submitted

    GitHub activity:

    • Stars: 7
    • Forks: 1
    • Issues + PRs: 0

    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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