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-0.0.4.tar.gz (8.3 MB view details)

Uploaded Source

Built Distribution

mir_ml_utils-0.0.4-py3-none-any.whl (6.9 MB view details)

Uploaded Python 3

File details

Details for the file mir_ml_utils-0.0.4.tar.gz.

File metadata

  • Download URL: mir_ml_utils-0.0.4.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-0.0.4.tar.gz
Algorithm Hash digest
SHA256 bd4036e2a8f56acf58055fd22da72920bf32b01accbf0e7a27e371931389e91f
MD5 2706ffaeb22dd5f5bb14cf1fd4b8160b
BLAKE2b-256 62cad578d7907881d699dc61cf3630a2c8f0fb049d9fb9238e3d76c0609366a5

See more details on using hashes here.

File details

Details for the file mir_ml_utils-0.0.4-py3-none-any.whl.

File metadata

File hashes

Hashes for mir_ml_utils-0.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 9a826610cc2aa456d3cf8b1e4a34a759dcdf86a62eea98d74cb4f857bed82e0a
MD5 a8df5d7b424f3eff73db8a488252f117
BLAKE2b-256 847888c674d75e21c565e6fc7e4caa2767c93a6260fb9e19a1e3153437bcbcb9

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