# MALIS
#### Installation
- pip install malis
- build from source: ./make.sh
#### Structured loss function for supervised learning of segmentation and clustering
Python and MATLAB wrapper for C++ functions for computing the MALIS loss
The MALIS loss is described here:
SC Turaga, KL Briggman, M Helmstaedter, W Denk, HS Seung (2009). *Maximin learning of image segmentation*. _Advances in Neural Information Processing Systems (NIPS) 2009_.
http://papers.nips.cc/paper/3887-maximin-affinity-learning-of-image-segmentation
#### Installation
- pip install malis
- build from source: ./make.sh
#### Structured loss function for supervised learning of segmentation and clustering
Python and MATLAB wrapper for C++ functions for computing the MALIS loss
The MALIS loss is described here:
SC Turaga, KL Briggman, M Helmstaedter, W Denk, HS Seung (2009). *Maximin learning of image segmentation*. _Advances in Neural Information Processing Systems (NIPS) 2009_.
http://papers.nips.cc/paper/3887-maximin-affinity-learning-of-image-segmentation
1 maintainer
Metadata
1 maintainer
Release files for malis 1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| malis-1.0.tar.gz | 7.0 kB | Details |
Release files / malis-1.0.tar.gz
| Download URL | malis-1.0.tar.gz |
|---|---|
| Size | 7.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
5c5f39612d9b97d9f29ba0db6bae57c545cbf785f20bd098330d16ec694b933f
|
|
BLAKE2b-256 checksum How to use checksums |
a301d9c87e5e04c45894f6c595a6dcc8b1c5ab4ad2da6b7e53029dd45e3c4d04
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
