Skip to main content

A framework for out-of-distribution and anomaly detection

Project description

food

A framework for out-of-distribution and anomaly detection.

Installation

From the root directory run

  pip install .

or

  python setup.py install [--user]

Usage

from food import AngleSoftmax

Requirements

  • torch>=1.3.0
  • numpy>=1.16.0
  • cv2>=4.1.0
  • to be filled

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

food-python-0.1.0.tar.gz (3.4 kB view details)

Uploaded Source

File details

Details for the file food-python-0.1.0.tar.gz.

File metadata

  • Download URL: food-python-0.1.0.tar.gz
  • Upload date:
  • Size: 3.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/45.2.0.post20200210 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.6

File hashes

Hashes for food-python-0.1.0.tar.gz
Algorithm Hash digest
SHA256 fa2dcc5eb6c3973e0e85209c6e654cb6e675e10498777ae71623d34d3cbbdb2a
MD5 1e7f659cacae789ff586365da282512d
BLAKE2b-256 c51ca7eed9135f81fb2efd96dbbef621b9e8867d9755191ea04570b4a9e7ef78

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