Skip to main content

Various utilities for machine learning training in Python 3. for the mir project

Project description

mir-ml-utils

The ML engine for the mir (Marine Inspection by Remote) app.

Install

You can install the utilities via pip

pip install mir-ml-utils

For a specific version use

pip install mir-ml-utils==x.x.x

You can uninstall the project via

pip3 uninstall mir-ml-utils

Dependencies

  • PyTorch

  • Numpy

  • Pillow

  • matplolib

  • sphinx (if you want to build the documentation)

The project also gets benefited from easyfsl and easy-few-shot-learning. However, you don't need to install this as a fork is maintained within mir-engine

Testing

There are additional dependencies if you want to run the tests

  • pytest
  • coverage
  • flake8

In order to test locally, you can run the

local_test_pipeline.sh

The script first runs flake8 and then pytest with coverage. Finally, it produces a report coverage_report.txt.

Installation

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

mir_ml_utils-0.0.10.tar.gz (8.3 MB view details)

Uploaded Source

Built Distribution

mir_ml_utils-0.0.10-py3-none-any.whl (6.9 MB view details)

Uploaded Python 3

File details

Details for the file mir_ml_utils-0.0.10.tar.gz.

File metadata

  • Download URL: mir_ml_utils-0.0.10.tar.gz
  • Upload date:
  • Size: 8.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.6

File hashes

Hashes for mir_ml_utils-0.0.10.tar.gz
Algorithm Hash digest
SHA256 21b09834d55959c35c4392c19304e668e7852d1281d3b0abbe7396e257331c62
MD5 15d8db4ec2118bd22e25c96f763d9507
BLAKE2b-256 a6d7ead788a2e0c46f9ca525a6240fa4da3de832d768ad2b0e0dd3dd6c59b44d

See more details on using hashes here.

File details

Details for the file mir_ml_utils-0.0.10-py3-none-any.whl.

File metadata

File hashes

Hashes for mir_ml_utils-0.0.10-py3-none-any.whl
Algorithm Hash digest
SHA256 c100d81aa74d8b7361ae7b682cda4dfac36917e2b1d1ca813829607526ae3997
MD5 18534b7b641f9ed50a9de66815ea252f
BLAKE2b-256 c76744856eea6383236599dc41111dd301b93c1ed4b5c879beca34c601706f05

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