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Deepaa

Deepaa is a Python project that uses a convolutional neural network to convert grayscale line images into ASCII art. Its script loads a model and weights, processes an image path set in the script, and saves the result in an output directory.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Deepaa — OpenViST project profile in Image & Video AI.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Deepaa when you have a grayscale line image and want a locally generated ASCII-art output through its documented Python script.

Who it is for

  • Python users who want to convert grayscale line drawings into ASCII art.
  • Developers exploring neural-network-based image-to-ASCII conversion.

Documented uses

  • Convert a grayscale line image into ASCII art.
  • Choose the listed light model by changing the model and weight paths in the script.
Before you choose

Requirements & limits

The project is open source under the MIT License. Its README lists Python dependencies and model weights as prerequisites; it does not describe an account-based workflow.

  • Conversion is performed through a Python script, with the image path set in the script.
  • The listed dependency versions are TensorFlow 1.3.0, Keras 2.0.8, NumPy 1.13.3, Pillow 4.2.1, Pandas 0.18.0, Scikit-learn 0.19.0 and h5py 2.7.1.
  • Model weights are required; training data is listed as an additional download.
  • The repository README says the project is under construction.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Convert a grayscale line image to ASCII art

Use the documented Python script to generate ASCII art from a grayscale line image.

Before you start

  • Python environment with TensorFlow 1.3.0 and Keras 2.0.8
  • NumPy 1.13.3, Pillow 4.2.1, Pandas 0.18.0, Scikit-learn 0.19.0 and h5py 2.7.1
  • Model weights downloaded and placed in the project’s model directory
  • A grayscale line image

Steps

  1. Set the image_path value in output.py to the image file to convert.

  2. Run output.py.

  3. Find the converted image in the output directory.

Expected outcome

The script writes the converted image to output/.

Guide limitations

  • The documented input is a grayscale line image.
  • The repository is described as under construction.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
16 October 2026
Original website title
OsciiArt/DeepAA · Official homepage title · retained in its source language
How we review sourcesSuggest a correction

Related options

DeepAAonWeb — The repository README links to a separate web application by tar-bin that uses a previous version of the model.