Skip to main content

MALIS segmentation loss function

Project description

# 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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

malis-1.0.tar.gz (7.0 kB view details)

Uploaded Source

File details

Details for the file malis-1.0.tar.gz.

File metadata

  • Download URL: malis-1.0.tar.gz
  • Upload date:
  • Size: 7.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for malis-1.0.tar.gz
Algorithm Hash digest
SHA256 5c5f39612d9b97d9f29ba0db6bae57c545cbf785f20bd098330d16ec694b933f
MD5 ba8ee7e8b6c1ebd0fcf67b0a64fb6209
BLAKE2b-256 a301d9c87e5e04c45894f6c595a6dcc8b1c5ab4ad2da6b7e53029dd45e3c4d04

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page