# danmacnish/cartoonify

python app to turn a photograph into a cartoon

Repository: https://github.com/danmacnish/cartoonify
Canonical: https://ross.abutalabs.com/products/cartoonify
Language: Python
License: MIT
License Family: permissive
Last push: 2022-12-07T23:51:56+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": 3179, "days_push": 1365, "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 2052, forks 199 (observed 2026-08-28T04:06:09.620489+00:00)

## What it is
A Python application that converts photographs into hand-drawn-style cartoons using a neural network for object recognition combined with the Google Quick, Draw! dataset. It powers the 'Draw This' polaroid camera project and runs on desktop (macOS/Linux) or a Raspberry Pi with a camera and thermal printer.

## Use cases
- turn a photo into a cartoon
- build a camera that prints cartoons
- convert images to quickdraw-style drawings
- run object recognition to sketch photos on a raspberry pi
- experiment with quickdraw dataset and tensorflow

## When to choose
- you want photo-to-cartoon conversion with the quickdraw aesthetic
- you're building the Draw This raspberry pi camera hardware project
- you want a fun ML demo combining object detection and sketch generation

## When to avoid
- you need modern Python 3 support (it requires Python 2.7)
- you need production-grade image stylization or GAN-based cartoonization
- you need an actively maintained project (last release 2022, Python 2.7 dependency)

## Facets
- artifact type: application
- maturity: maintenance
- function: machine-learning, image-processing, computer-vision
- domain: machine-learning, computer-vision, image-processing, embedded-systems
- platform: python, embedded
- tags: cartoonify, quickdraw, raspberry-pi, tensorflow, neural-network, photo-to-cartoon, linux, macos, docker

## Member repositories
- danmacnish/cartoonify (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:09.620489+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 2026-08-30T02:57:25.816269+00:00, confidence not recorded.
  - readme: https://github.com/danmacnish/cartoonify (fetched 2026-08-28T04:06:09.620489+00:00, sha 3d0bf43bd7f0)
- Data as of 2026-08-30T08:39:29.467469+00:00.