Skip to main content

Interpreing image segmentation models

Project description

Interpret Segmentation

A one-stop shop for the interpretability of image segmentation models. This code was extracted from my bachelors thesis: https://github.com/andef4/thesis-code

Available algorithms:

  • Hausdorff Distance Masks
  • RISE

Documentation

The documentation is available on Read the Docs: https://interpret-segmentation.readthedocs.io/en/latest/.

Development

To hack on interpret-segmentation, do the following:

  • Clone the git repository
  • Create a new virtualenv and activate it, e.g. python3 -m venv venv/; source venv/bin/activate
  • Inside the git repository, install the library in development mode including development dependencies: pip install -e .[dev]
  • Install the flake8 pre-commit hook with pre-commit

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

interpret_segmentation-0.0.2.tar.gz (5.9 kB view details)

Uploaded Source

Built Distribution

interpret_segmentation-0.0.2-py3-none-any.whl (7.7 kB view details)

Uploaded Python 3

File details

Details for the file interpret_segmentation-0.0.2.tar.gz.

File metadata

  • Download URL: interpret_segmentation-0.0.2.tar.gz
  • Upload date:
  • Size: 5.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.6.7

File hashes

Hashes for interpret_segmentation-0.0.2.tar.gz
Algorithm Hash digest
SHA256 8c0376d3e6ec150ccfc1c3741a95d87d1e139bb5f049a6614bf2a4efe09aedde
MD5 8fd7ba1ab284656eec0b19266d01c469
BLAKE2b-256 cdfeb79852c3554474fcacb5961e2c23e6ce62803e7395127c7c7cf0406a0e51

See more details on using hashes here.

File details

Details for the file interpret_segmentation-0.0.2-py3-none-any.whl.

File metadata

  • Download URL: interpret_segmentation-0.0.2-py3-none-any.whl
  • Upload date:
  • Size: 7.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.6.7

File hashes

Hashes for interpret_segmentation-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 e8b6da27fba6e59a6b2b7081372d7431f3fba77b021693abf1980a6d216a60ef
MD5 558b5327736fb1dc8d56d9949c3db457
BLAKE2b-256 41fda3c93f457a71e3601555fd583c2c65868eff6c35545f423f2aac1cf2999d

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