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