# OsciiArt/DeepAA

make ASCII Art by Deep Learning

Repository: https://github.com/OsciiArt/DeepAA
Canonical: https://ross.abutalabs.com/products/deepaa
Language: Python
License: MIT
License Family: permissive
Topics: deep-learning, keras, tensorflow, ascii-art, python
Last push: 2021-07-14T02:47:40+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3468, "days_push": 1876, "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 1576, forks 102 (observed 2026-08-28T04:05:05.989568+00:00)

## What it is
DeepAA is a Python project that generates ASCII art from grayscale line images using convolutional neural networks built with TensorFlow and Keras. It includes pre-trained models and was presented at the NIPS 2017 Workshop on Machine Learning for Creativity and Design.

## Use cases
- convert an image into ascii art
- generate ascii art with deep learning
- turn a line drawing into text art
- experiment with cnns for creative image synthesis
- run a pretrained ascii art model

## When to choose
- you want to convert grayscale line images to ascii art using a pretrained model
- you want to study or extend a cnn-based creative image-to-text synthesis project
- you need a research reference for ascii art generation with neural networks

## When to avoid
- you need a maintained tool with modern TensorFlow/Keras support
- you want a CLI or API rather than editing source code paths
- you need to convert color photos or complex images rather than grayscale line art

## Facets
- artifact type: library
- maturity: maintenance
- function: deep-learning, image-processing, machine-learning
- domain: deep-learning, image-processing, artificial-intelligence
- platform: python
- tags: ascii-art, cnn, generative, keras, tensorflow, creative-ml

## Member repositories
- OsciiArt/DeepAA (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:05.989568+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 2026-08-30T03:57:12.332377+00:00, confidence not recorded.
  - readme: https://github.com/OsciiArt/DeepAA (fetched 2026-08-28T04:05:05.989568+00:00, sha 0e9fe68dd9df)
- Data as of 2026-08-30T08:39:29.467469+00:00.