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).
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-aideveloperIntroduction¶
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.
2. Choose Neural Networks
3. Set model storage path
4. Start fitting
Preview image
Image augmentation
History
1. Load meta data
2. Check model details
3. Rolling median & Linear fit
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
GitHub activity:
- Stars: 7
- Forks: 1
- Issues + PRs: 0
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)