{"name":"napari-aideveloper","display_name":"napari AIDeveloper","visibility":"public","icon":"","categories":[],"schema_version":"0.2.0","on_activate":null,"on_deactivate":null,"contributions":{"commands":[{"id":"napari-aideveloper.make_qwidget","title":"Make example QWidget","python_name":"napari_aideveloper._widget:AIDeveloper","short_title":null,"category":null,"icon":null,"enablement":null}],"readers":null,"writers":null,"widgets":[{"command":"napari-aideveloper.make_qwidget","display_name":"AIDeveloper","autogenerate":false}],"sample_data":null,"themes":null,"menus":{},"submenus":null,"keybindings":null,"configuration":[]},"package_metadata":{"metadata_version":"2.1","name":"napari-aideveloper","version":"0.0.4","dynamic":null,"platform":null,"supported_platform":null,"summary":"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).","description":"# napari-aideveloper\n\n[![License](https://img.shields.io/pypi/l/napari-aideveloper.svg?color=green)](https://github.com/zcqwh/napari-aideveloper/raw/main/LICENSE)\n[![PyPI](https://img.shields.io/pypi/v/napari-aideveloper.svg?color=green)](https://pypi.org/project/napari-aideveloper)\n[![Python Version](https://img.shields.io/pypi/pyversions/napari-aideveloper.svg?color=green)](https://python.org)\n[![tests](https://github.com/zcqwh/napari-aideveloper/workflows/tests/badge.svg)](https://github.com/zcqwh/napari-aideveloper/actions)\n[![codecov](https://codecov.io/gh/zcqwh/napari-aideveloper/branch/main/graph/badge.svg)](https://codecov.io/gh/zcqwh/napari-aideveloper)\n[![napari hub](https://img.shields.io/endpoint?url=https://api.napari-hub.org/shields/napari-aideveloper)](https://napari-hub.org/plugins/napari-aideveloper)\n\n[napari_aideveloper](https://www.napari-hub.org/plugins/napari-aideveloper) is a napari-plugin derived from [AIDeveloper](https://github.com/maikherbig/AIDeveloper) that allows you to train, evaluate, and apply deep neural nets for image classification within a graphical user-interface (GUI).\n\n\n\n\n## Installation\n\nYou can install `napari-aideveloper` via [pip]:\n\n pip install napari-aideveloper\n\n## Introduction\n### Main functions\n* [Build](#build)\n* [History](#history)\n\n****\n\n### Build \n#### 1. Load data\nDrag and drop your data in .rtdc (HDF5) format into the file table and set the class and training/validation.\n![alt Load_data](https://github.com/zcqwh/napari-aideveloper/blob/main/Tutorial/00_Load_data.gif?raw=true)\n\n#### 2. Choose Neural Networks\n![alt Load_data](https://github.com/zcqwh/napari-aideveloper/blob/main/Tutorial/01_choose%20NN.gif?raw=true)\n\n#### 3. Set model storage path\n![alt Load_data](https://github.com/zcqwh/napari-aideveloper/blob/main/Tutorial/02_save_model.gif?raw=true)\n\n#### 4. Start fitting\n![alt Load_data](https://github.com/zcqwh/napari-aideveloper/blob/main/Tutorial/03_start_fitting.gif?raw=true)\n![alt Load_data](https://github.com/zcqwh/napari-aideveloper/blob/main/Tutorial/04_fitting.gif?raw=true)\n\n#### Preview image\n![alt Load_data](https://github.com/zcqwh/napari-aideveloper/blob/main/Tutorial/05_preview.gif?raw=true)\n\n#### Image augmentation\n![alt Load_data](https://github.com/zcqwh/napari-aideveloper/blob/main/Tutorial/06_augmentation.gif?raw=true)\n\n****\n\n### History\n#### 1. Load meta data\n![alt Load_data](https://github.com/zcqwh/napari-aideveloper/blob/development/Tutorial/GIF/History/01_Load_metadata.gif?raw=true)\n\n#### 2. Check model details\n![alt Load_data](https://github.com/zcqwh/napari-aideveloper/blob/development/Tutorial/GIF/History/02_model_detail.gif?raw=true)\n\n#### 3. Rolling median & Linear fit\n![alt Load_data](https://github.com/zcqwh/napari-aideveloper/blob/development/Tutorial/GIF/History/03_rolling_linear.gif?raw=true)\n\n\n\n\n\n\n## Contributing\n\nContributions are very welcome. You can submit your pull request on [GitHub](https://github.com/zcqwh/napari-aideveloper/pulls). Tests can be run with [tox], please ensure the coverage at least stays the same before you submit a pull request.\n\n## License\n\nDistributed under the terms of the [BSD-3] license,\n\"napari-aideveloper\" is free and open source software\n\n## Issues\n\nIf you encounter any problems, please [file an issue](https://github.com/zcqwh/napari-aideveloper/issues) along with a detailed description.\n\n[napari]: https://github.com/napari/napari\n[Cookiecutter]: https://github.com/audreyr/cookiecutter\n[@napari]: https://github.com/napari\n[MIT]: http://opensource.org/licenses/MIT\n[BSD-3]: http://opensource.org/licenses/BSD-3-Clause\n[GNU GPL v3.0]: http://www.gnu.org/licenses/gpl-3.0.txt\n[GNU LGPL v3.0]: http://www.gnu.org/licenses/lgpl-3.0.txt\n[Apache Software License 2.0]: http://www.apache.org/licenses/LICENSE-2.0\n[Mozilla Public License 2.0]: https://www.mozilla.org/media/MPL/2.0/index.txt\n[cookiecutter-napari-plugin]: https://github.com/napari/cookiecutter-napari-plugin\n\n[napari]: https://github.com/napari/napari\n[tox]: https://tox.readthedocs.io/en/latest/\n[pip]: https://pypi.org/project/pip/\n[PyPI]: https://pypi.org/\n\n\n----------------------------------\n\nThis [napari] plugin was generated with [Cookiecutter] using [@napari]'s [cookiecutter-napari-plugin] template.\n","description_content_type":"text/markdown","keywords":null,"home_page":"https://github.com/zcqwh/napari-aideveloper","download_url":null,"author":"Chenqi Zhang","author_email":"cqzhang@g.ecc.u-tokyo.ac.jp","maintainer":null,"maintainer_email":null,"license":"BSD-3-Clause","classifier":["Development Status :: 2 - Pre-Alpha","Intended Audience :: Developers","Framework :: napari","Topic :: Software Development :: Testing","Programming Language :: Python","Programming Language :: Python :: 3","Programming Language :: Python :: 3.8","Programming Language :: Python :: 3.9","Programming Language :: Python :: 3.10","Operating System :: OS Independent","License :: OSI Approved :: BSD License"],"requires_dist":["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)","tox ; extra == 'testing'","pytest ; extra == 'testing'","pytest-cov ; extra == 'testing'","pytest-qt ; extra == 'testing'","napari ; extra == 'testing'","pyqt5 ; extra == 'testing'"],"requires_python":">=3.8","requires_external":null,"project_url":["Bug Tracker, https://github.com/zcqwh/napari-aideveloper/issues","Documentation, https://github.com/zcqwh/napari-aideveloper#README.md","Source Code, https://github.com/zcqwh/napari-aideveloper","User Support, https://github.com/zcqwh/napari-aideveloper/issues"],"provides_extra":["testing"],"provides_dist":null,"obsoletes_dist":null},"npe1_shim":false}