# pavelgonchar/colornet

Neural Network to colorize grayscale images

Repository: https://github.com/pavelgonchar/colornet
Canonical: https://ross.abutalabs.com/products/colornet
Language: Python
License Family: other
Last push: 2020-04-21T10:17:51+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": 3788, "days_push": 2325, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3552, forks 316 (observed 2026-08-28T04:08:09.592839+00:00)

## What it is
Colornet is a Python/TensorFlow neural network implementation that colorizes grayscale images, based on VGG16 features and YUV color-channel prediction from automatic colorization research. It provides the model code and training examples, and has been demonstrated on tasks such as anime colorization.

## Use cases
- colorize black and white photos with a neural network
- automatically add color to grayscale images
- restore color to old photographs using deep learning
- colorize anime frames
- train an automatic image colorization model
- study a VGG16-based colorization reference implementation

## When to choose
- You want a compact, well-known reference implementation of automatic image colorization to study or adapt
- You want to reproduce or build on research like Automatic Colorization / VGG16 hypercolumn colorization
- You need a simple codebase to tweak for grayscale-to-color inference on images or anime frames

## When to avoid
- You need actively maintained, production-grade colorization with modern pretrained models
- You need a clear license for commercial use - the repository has no license
- You want a one-click GUI tool rather than Python scripts and model weights

## Facets
- artifact type: library
- maturity: abandoned
- function: image-processing, deep-learning, machine-learning, computer-vision
- domain: image-processing, deep-learning, machine-learning, artificial-intelligence
- platform: python
- tags: image-colorization, grayscale-to-color, neural-networks, tensorflow, vgg16, cnn, yuv-color-space, research-code, anime-colorization, gpu

## Member repositories
- pavelgonchar/colornet (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:09.592839+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 2026-08-29T18:34:19.759256+00:00, confidence not recorded.
  - readme: https://github.com/pavelgonchar/colornet (fetched 2026-08-28T04:08:09.592839+00:00, sha 128ae0772fce)
- Data as of 2026-08-30T08:39:29.467469+00:00.