Skip to main content

imgkernel

An image kernel is a small matrix used to apply effects like the ones you might find in Photoshop or Gimp, such as blurring, sharpening, outlining or embossing. They're also used in machine learning for 'feature extraction', a technique for determining the most important portions of an image.

Metadata

Release files for imgkernel 0.0.1

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

Source distribution (sdist)

Source distribution for imgkernel 0.0.1
File Size Uploaded Provenance Actions
imgkernel-0.0.1.tar.gz 2.4 kB Without provenance Details for imgkernel-0.0.1.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for imgkernel 0.0.1
File Interpreter ABI Platform Actions
imgkernel-0.0.1-py3-none-any.whl Python 3 none any Details for imgkernel-0.0.1-py3-none-any.whl

Total release size: 6.3 kB

Release files / imgkernel-0.0.1.tar.gz

Download URL imgkernel-0.0.1.tar.gz
Size 2.4 kB
Tags Source
SHA-256 checksum
How to use checksums
ec43f3ceaa4c29fdd443e7625868b2c46bc0e530f8d8a742ad2ec5855717e1e5
BLAKE2b-256 checksum
How to use checksums
018de6bb754d79504871086c9b1742dd738f9f3feea57bdca69953bb5cd54561
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.15.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3

Release files / imgkernel-0.0.1-py3-none-any.whl

Download URL imgkernel-0.0.1-py3-none-any.whl
Size 4.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
4bb2354c53ba92f3b4571bc78da50ea93f7963d2eb59c2ac9a4599ea760eea37
BLAKE2b-256 checksum
How to use checksums
85e21a9391272212fedc7331a69818ba4bcc7d190002b5202d7e8ccbe7faa6df
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.15.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3

Security for imgkernel 0.0.1

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

0.0.1 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