Skip to main content

MNIST Utils

This is a simple package for working with MNIST Images. If you have a physical mnist style gz file, you can use this package to load the images from the file.

This is useful for when you want to run a trained model for example and provide a PNG to the model. The model likely is trained on a numpy array -> this just handles the conversion from PNG to grayscale numpy array.

To get the latest version:

pip install mnist-utils

Working on the project

To build: python setup.py sdist bdist_wheel To upload: python -m twine upload dist/* (Token name: pypi_all_purpose)

Metadata

Release files for mnist-utils 0.0.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for mnist-utils 0.0.2
File Size Uploaded Provenance
mnist-utils-0.0.2.tar.gz 3.2 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for mnist-utils 0.0.2
File Interpreter ABI Platform
mnist_utils-0.0.2-py3-none-any.whl Python 3 none any Details

Total release size: 8.5 kB

Release files / mnist-utils-0.0.2.tar.gz

Download URL mnist-utils-0.0.2.tar.gz
Size 3.2 kB
Tags Source
SHA-256 checksum
How to use checksums
e6bf5b53f6bef1db67bc4d5bdc0d40c14ce544ffaf1fc73bd3871804b9fda4b1
BLAKE2b-256 checksum
How to use checksums
0e92c204b03f1bddbf0370b815bd142efd8cf91d73d6c9b6041df134bbabd92f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0.post20200714 requests-toolbelt/0.9.1 tqdm/4.48.0 CPython/3.7.0

Release files / mnist_utils-0.0.2-py3-none-any.whl

Download URL mnist_utils-0.0.2-py3-none-any.whl
Size 5.3 kB
Tags Python 3
SHA-256 checksum
How to use checksums
146ef1e1911aef0a5f1a78ce2afa639ee0fe5a544c6a3edf7cdaa0aad6f9a3d0
BLAKE2b-256 checksum
How to use checksums
772f3f843b448cab69b6775642f2c9a82d358d74bec440f3fab56658ecf3da34
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0.post20200714 requests-toolbelt/0.9.1 tqdm/4.48.0 CPython/3.7.0

Security for mnist-utils 0.0.2

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

0.0.2 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page