Skip to main content

normalize the intensities of various MR image modalities

Reason this release was yanked:

Users keep installing this bad version

Project description

2.1.2 (2022-01-03)

  • Updates for security

2.1.1 (2021-10-20)

  • Fix warning about negative values when not passing in a mask

  • Remove redundant word from Nyul normalize keyword arguments

2.1.0 (2021-10-13)

  • Restructure CLIs for faster startup and improve handling of missing antspy

  • add option to CLIs to print version

2.0.3 (2021-10-11)

  • Improve Nyul docs and argument/keyword names

2.0.2 (2021-09-27)

  • Fix and improve documentation

  • Add an escape-hatch “other” modality

  • Add peak types as modalities in KDE & WS

2.0.1 (2021-08-31)

  • Save and load fit artifacts for LSQ and Nyul for both the CLIs and Python API

2.0.0 (2021-08-22)

  • Major refactor to reduce redundancy, make code more usable outside of the CLIs, and generally improve code quality.

1.4.0 (2021-03-16)

  • First release on PyPI.

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

intensity-normalization-2.1.2.tar.gz (430.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

intensity_normalization-2.1.2-py3-none-any.whl (41.9 kB view details)

Uploaded Python 3

File details

Details for the file intensity-normalization-2.1.2.tar.gz.

File metadata

  • Download URL: intensity-normalization-2.1.2.tar.gz
  • Upload date:
  • Size: 430.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for intensity-normalization-2.1.2.tar.gz
Algorithm Hash digest
SHA256 f764930f9b0e73d4cb7f73a86a88b769f5a45e21a356051416f4954de3fc31a0
MD5 3e9f945a7f0e73932c9f7ee1f9111fc2
BLAKE2b-256 9f01fb35085067685efb8e417bb2fc734d22e4aab066ed98f1317051957538cb

See more details on using hashes here.

File details

Details for the file intensity_normalization-2.1.2-py3-none-any.whl.

File metadata

  • Download URL: intensity_normalization-2.1.2-py3-none-any.whl
  • Upload date:
  • Size: 41.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for intensity_normalization-2.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 aeb9a2bd3d8b83dd52ad33439c9a5ded9b74373eac6322a5b043e83f12f95204
MD5 2b5aaebb599f332da0fc3bf8669f1f81
BLAKE2b-256 5b401dd93f796706132cd6e195c06adf1d5146feefd03935cd0127327dcb7230

See more details on using hashes here.

Supported by

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