GraphCanon updated 2w · GitHub synced 2w
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 (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 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 · 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.