Skip to main content

quickdraw

Google Quick, Draw! is a game which is training a neural network to recognise doodles.

quickdraw is an API for using the Google Quick, Draw! data quickdraw.withgoogle.com/data, downloading the data files as and when needed, caching them locally and allowing them to be used.

Getting started

  • Windows
pip install quickdraw
  • macOS
pip3 install quickdraw
  • Linux / Raspberry Pi
sudo pip3 install quickdraw

Use

Open the Quick Draw data, pull back an anvil drawing and save it.

    from quickdraw import QuickDrawData
    qd = QuickDrawData()
    anvil = qd.get_drawing("anvil")
    anvil.image.save("my_anvil.gif")

Documentation

quickdraw.readthedocs.io

Metadata

Release files for quickdraw 1.0.0

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

Source distribution (sdist)

Source distribution for quickdraw 1.0.0
File Size Uploaded
quickdraw-1.0.0.tar.gz 14.8 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for quickdraw 1.0.0
File Interpreter ABI Platform
quickdraw-1.0.0-py3-none-any.whl Python 3 none any Details

Total release size: 26.4 kB

Release files / quickdraw-1.0.0.tar.gz

Download URL quickdraw-1.0.0.tar.gz
Size 14.8 kB
Tags Source
SHA-256 checksum
How to use checksums
9b72940206f608ffd790e098f29b4ec25d5259bb2bd59e311efb91e08271fa4c
BLAKE2b-256 checksum
How to use checksums
b1ccffd940f41b870ba0ae1af559bc2b99c6930f796f25d32dcef28615f79c9e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.10.7

Release files / quickdraw-1.0.0-py3-none-any.whl

Download URL quickdraw-1.0.0-py3-none-any.whl
Size 11.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
9a96a01cf456490c4cf490945f77540d5112cde455b4d205c93ebe309fca1ee4
BLAKE2b-256 checksum
How to use checksums
b5258500e92c31e016e51917bff1861c7200df4c015594f6a38d4884f03f49e0
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.10.7

Release history Release notifications | RSS feed

This release

1.0.0 This release

2 release files

0.2.0

2 release files

0.1.0

2 release files

0.0.4

2 release files

0.0.3

2 release files

0.0.2

2 release files

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