Home/Computer Vision/PhotoSketch
PhotoSketch logo

PhotoSketch

mtli/PhotoSketch

Code for Photo-Sketching Inferring Contour Drawings from Images

GraphCanon updated 2w · GitHub synced 2w

487 stars86 forksLast push 3y Python Other

Decision brief

PhotoSketch is designed to extract contour drawings from images using computer vision algorithms.

Good fit when

  • Utilize PhotoSketch when you require precise extraction of contours and sketches from photographic content for graphic design or art projects.
  • Choose this tool if your project benefits from a Python-based solution that can inferring detailed contours directly from images.

Avoid when

  • Avoid using PhotoSketch if real-time sketch generation is necessary, as the process may not be optimized for speed compared to some competitors.
  • Do not use it for applications requiring heavy customization of sketch styles beyond its inherent capabilities without significant additional development effort.

Observed Jul 17, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Dormant (1178d since push)
As of 2w
Provenance
Not a fork · Personal account
As of 2w
Security (OSV)
No lockfile
As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install PhotoSketch
PyPI

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

A repository that offers code to infer contour drawings or sketches from photographs using computer vision techniques.

Capability facts

Languages
python

Source: github.language · Jul 31, 2026

Categories

Tags

README

One-line installation (with Conda environments)

conda env create -f environment.yml

Then activate the environment (sketch) and you are ready to go!

See here for more information about conda environments.


Manual installation

See environment.yml for a list of dependencies.

For agents

This page has a .md twin and JSON over the API.

Was this helpful?

Anonymous feedback helps us improve pages and translations.