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PhotoSketch

mtli/PhotoSketch

Code for Photo-Sketching Inferring Contour Drawings from Images

GraphCanon updated Sep 24, 2026 · GitHub synced Sep 24, 2026

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486 stars85 forksLast push May 10, 2023 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

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Maintenance and security

Full trust report
Maintenance
Dormant (1233d since push)
As of Sep 24, 2026
Provenance
Not a fork · Personal account
As of Sep 24, 2026
Security (OSV)
No lockfile
As of Jul 11, 2026

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 · Sep 24, 2026

Categories

Tags

README

One line installation (with Conda environments) Then activate the environment (sketch) and you are ready to go! See here for more information about conda environments. Manual installation See for a list of dependencies.

For agents

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

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