1 file was added to this release more than 14 days after its initial publication. Inspect the release files before installing.
napari-aideveloper
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.
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.
Metadata
Release files for napari-aideveloper 0.0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
File added late
1 file was uploaded more than 14 days after the first file in this release.
While project maintainers occasionally add legitimate files to an existing release, late additions can also indicate a security compromise.
We recommend inspecting the release files before installing.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| napari-aideveloper-0.0.4.tar.gz | 68.2 MB | Without provenance | Details for napari-aideveloper-0.0.4.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| napari_aideveloper-0.0.4-py3-none-any.whl | Python 3 | none | any | Details for napari_aideveloper-0.0.4-py3-none-any.whl |
Total release size: 68.4 MB
Release files / napari-aideveloper-0.0.4.tar.gz
File added late
This file was uploaded more than 14 days after the first file in this release.
While project maintainers occasionally add legitimate files to an existing release, late additions can also indicate a security compromise.
We recommend inspecting the release file before installing.
| Download URL | napari-aideveloper-0.0.4.tar.gz |
|---|---|
| Size | 68.2 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
107c89de1e8c85ddc487058a70a1f04123aa44653eaa0493c410403c18b1162f
|
|
BLAKE2b-256 checksum How to use checksums |
766c5724ed9c348006c361682c5cb00e03da77a69d16cd25a6c3126e806954f3
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.9.7
|
Release files / napari_aideveloper-0.0.4-py3-none-any.whl
| Download URL | napari_aideveloper-0.0.4-py3-none-any.whl |
|---|---|
| Size | 248.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
49ed30a7ccee1a3227c3b60b00b61884cbdc0b02972bb1b3a490f2c91529b41b
|
|
BLAKE2b-256 checksum How to use checksums |
98a81b426db6a9467d8cbba944709240dd9e55c52f3e208970920b9205a19f0e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.9.7
|
Security for napari-aideveloper 0.0.4
Upload timing
Release file added late
1 file was uploaded more than 14 days after the first file in this release.
While project maintainers occasionally add legitimate files to an existing release, late additions can also indicate a security compromise.
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.