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quick-torch

Library that provides a QuickDraw dataset using the Pytorch API.

https://github.com/framunoz/quick-torch

Science Score: 44.0%

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    Scientific vocabulary similarity
    Low similarity (10.2%) to scientific vocabulary

Keywords

dataset deep-learning pytorch quick-draw
Last synced: 7 months ago · JSON representation ·

Repository

Library that provides a QuickDraw dataset using the Pytorch API.

Basic Info
  • Host: GitHub
  • Owner: framunoz
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: main
  • Homepage:
  • Size: 19.4 MB
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Topics
dataset deep-learning pytorch quick-draw
Created over 2 years ago · Last pushed about 1 year ago
Metadata Files
Readme License Citation

README.md

Quick, Torch!

Quick, Torch! is a simple package that provides a "Quick, Draw!" dataset using the abstract class VisionDataset, provided by torchvision API. This package mirrors the MNIST dataset provided in torchvision.

You can install this package with pip install quick-torch --upgrade

Example

Here are a simple example of usage: ```python from quick_torch import QuickDraw import torchvision.transforms as T

ds = QuickDraw( root="dataset", categories="face", download=True, transform=T.Resize((128, 128)) ) print(f"{len(ds) = }") firstdata = ds[0] firstdata

Downloading https://storage.googleapis.com/quickdrawdataset/full/numpybitmap/face.npy

len(ds) = 161666 (, 108) ```

For more examples, please refer to the notebook example.ipynb

How to cite?

If you use this code in your work, please reference it as follows: @software{munoz2023quicktorch, author = {Mu\~{n}oz, Francisco}, license = {MIT}, month = {10}, title = {{quick-torch}}, url = {https://github.com/framunoz/quick-torch}, version = {1.0.4}, year = {2023} }

References

This work was mainly inspired by the following repositories: - MNIST from torchvision - The dataset of this notebook

Owner

  • Name: Francisco Muñoz
  • Login: framunoz
  • Kind: user
  • Location: Santiago
  • Company: Universidad de Chile

Estudiante de Ingeniería Civil Matemática, UCh.

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Muñoz Guajardo"
  given-names: "Francisco"
  orcid: "https://orcid.org/0009-0006-3048-2647"
title: "quick-torch"
version: 1.0.4
date-released: 2023-10-07
repository-code: "https://github.com/framunoz/quick-torch"
url: "https://pypi.org/project/quick-torch/"
license: MIT

GitHub Events

Total
  • Push event: 1
Last Year
  • Push event: 1

Committers

Last synced: 9 months ago

All Time
  • Total Commits: 44
  • Total Committers: 2
  • Avg Commits per committer: 22.0
  • Development Distribution Score (DDS): 0.205
Past Year
  • Commits: 1
  • Committers: 1
  • Avg Commits per committer: 1.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Francisco Muñoz f****z@u****l 35
Francisco Muñoz f****z@d****l 9
Committer Domains (Top 20 + Academic)
dim.uchile.cl: 1 ug.uchile.cl: 1

Issues and Pull Requests

Last synced: 8 months ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
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Packages

  • Total packages: 1
  • Total downloads:
    • pypi 39 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 4
  • Total maintainers: 1
pypi.org: quick-torch

Library that provides a QuickDraw dataset using the Pytorch API.

  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 39 Last month
Rankings
Dependent packages count: 7.4%
Forks count: 30.0%
Average: 36.4%
Stargazers count: 38.9%
Dependent repos count: 69.1%
Maintainers (1)
framunoz
Last synced: 8 months ago

Dependencies

requirements.txt pypi
  • ndjson *
  • requests *
  • setuptools *
  • torchvision *
setup.py pypi
  • str *
.github/workflows/python-publish.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v3 composite
  • pypa/gh-action-pypi-publish 27b31702a0e7fc50959f5ad993c78deac1bdfc29 composite