Skip to main content

HDSS

HDSS - Hand-Drawn Shape Simulation

Installation

pip install hdss

About hdss

Shape recognition is an essential property of the human intellect. We recognize objects even if they differ in size, position, orientation, or are severely deformed. For example, we quickly identify hearts in the image below.

 

 

Such distorted forms, "hand-drawn shapes," are handy to test various recognition technologies. Here we show how to use hdss package to generate these objects by using two simple python functions.

Metadata

Release files for hdss 1.1.2

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

Source distribution (sdist)

Source distribution for hdss 1.1.2
File Size Uploaded Provenance Actions
hdss-1.1.2.tar.gz 5.1 kB Without provenance Details for hdss-1.1.2.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for hdss 1.1.2
File Interpreter ABI Platform Actions
hdss-1.1.2-py3-none-any.whl Python 3 none any Details for hdss-1.1.2-py3-none-any.whl

Total release size: 11.9 kB

Release files / hdss-1.1.2.tar.gz

Download URL hdss-1.1.2.tar.gz
Size 5.1 kB
Tags Source
SHA-256 checksum
How to use checksums
ce63416c32e0c8a9cfe0945aa75241ded158aa04f9bc1602401ba6d954f07b12
BLAKE2b-256 checksum
How to use checksums
a7e805e7348d06a3009348ee25660038ce4261b13cd9996d9956271915221eee
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/1.5.1 CPython/3.10.11 Darwin/22.6.0

Release files / hdss-1.1.2-py3-none-any.whl

Download URL hdss-1.1.2-py3-none-any.whl
Size 6.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
e6f26dcd8ed77b25926b357448c3191c57c982039fe943cbe6ff0ff210ebd9ad
BLAKE2b-256 checksum
How to use checksums
306d805f507a44d70b71a305eee623b5786394ecf383033caa47817e7bc93938
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/1.5.1 CPython/3.10.11 Darwin/22.6.0

Security for hdss 1.1.2

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

1.1.2 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