Skip to main content

Multiclass pixel classifier

Deep learning segmentation method with very low annotation requirement.

Similar to Ilastik pixel classification procedure, but based on a deep neural network.

Described and used in the work Near-infrared co-illumination of fluorescent proteins reduces photobleaching and phototoxicity. Please cite this work when using this method.

Docuementation: see this tutorial

Metadata

Release files for PixMClass 0.1.8

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for PixMClass 0.1.8
File Size Uploaded
pixmclass-0.1.8.tar.gz 26.7 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for PixMClass 0.1.8
File Interpreter ABI Platform
pixmclass-0.1.8-py3-none-any.whl Python 3 none any Details

Total release size: 55.8 kB

Release files / pixmclass-0.1.8.tar.gz

Download URL pixmclass-0.1.8.tar.gz
Size 26.7 kB
Tags Source
SHA-256 checksum
How to use checksums
b27261ef2607d9ec8d3c8f20fe95f5d6051b59f5beddad0a56c2a58ec2f01a65
BLAKE2b-256 checksum
How to use checksums
b8281da364e001f0bcfe8209b0d879068cb29c26d63f553eacf6f024322278fc
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

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.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 30, 2026.

Transparency log

Release files / pixmclass-0.1.8-py3-none-any.whl

Download URL pixmclass-0.1.8-py3-none-any.whl
Size 29.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
7282f8d0c0c04253c4d8516dab92b7cf144b990eff24b57bda8e7729f03ae7d5
BLAKE2b-256 checksum
How to use checksums
3576ebedaa0dcd5ea42fe1cc52d22828de69ccf4459df813ea6540d40f00ec3c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

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.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 30, 2026.

Transparency log

Release history Release notifications | RSS feed

This release

0.1.8 This release

2 release files

0.1.6

2 release files

0.1.5

2 release files

0.1.4

2 release files

0.1.3

2 release files

0.1.2

2 release files

0.1.1

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page