# vietnh1009/QuickDraw

Implementation of Quickdraw - an online game developed by Google

Repository: https://github.com/vietnh1009/QuickDraw
Canonical: https://ross.abutalabs.com/products/quickdraw
Language: Python
License: MIT
License Family: permissive
Topics: python, python3, pytorch, opencv, cv2, opencv-python, computer-vision, neural-network, neural-networks, cnn, image-classification, quickdraw, quickdraw-dataset, deep-learning, deep-neural-networks, deeplearning
Last push: 2023-01-11T19:31:20+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2771, "days_push": 1330, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1105, forks 195 (observed 2026-08-28T04:03:36.347457+00:00)

## What it is
A Python implementation of Google's Quick, Draw! game that recognizes hand-drawn sketches using a CNN trained on the Quick Draw dataset. It includes a webcam-based drawing app that tracks a colored pen and a canvas-based drawing app, plus training scripts and pretrained models for 20 categories.

## Use cases
- recognize hand-drawn sketches with a neural network
- play a quick draw game using a webcam and a colored pen
- train a CNN on the Quick Draw dataset with custom categories
- classify doodles into 20 categories like apple, star, or tree
- experiment with PyTorch image classification on sketch data

## When to choose
- you want a working sketch-recognition demo with pretrained models
- you want to learn CNN training with PyTorch and OpenCV on a fun dataset
- you want to retrain the classifier on your own set of Quick Draw categories

## When to avoid
- you need production-grade sketch recognition with many categories
- you need a mobile or web deployment
- you need the full Quick Draw dataset coverage or stroke-based (sketchrnn) models

## Facets
- artifact type: application
- maturity: maintenance
- function: computer-vision, image-processing, machine-learning, deep-learning
- domain: computer-vision, machine-learning, deep-learning, image-processing, gaming-tools
- platform: python, cross-platform
- tags: quickdraw, sketch-classification, cnn, pytorch, opencv, webcam-drawing, image-classification, desktop

## Member repositories
- vietnh1009/QuickDraw (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:36.347457+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:44:35.956444+00:00, confidence not recorded.
  - readme: https://github.com/vietnh1009/QuickDraw (fetched 2026-08-28T04:03:36.347457+00:00, sha 2b89a38b53e4)
- Data as of 2026-08-30T08:39:29.467469+00:00.