Multiclass pixel classification
Project description
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
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pixmclass-0.1.1.tar.gz
(10.0 kB
view hashes)
Built Distribution
PixMClass-0.1.1-py3-none-any.whl
(11.0 kB
view hashes)
Close
Hashes for PixMClass-0.1.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 171174d5967a39439e28c3dce2852da9575b461fd9e48ea29b2a1784894d8da7 |
|
MD5 | d66fdf773daaad70192ab8aef40fa82a |
|
BLAKE2b-256 | 0a119fc1f029cab0eac59649369a3d61fc3d1b9c96d3f252dd88c4af17147549 |