Tavotto
AI drew your research figure. Tavotto makes it publication-ready: edit matplotlib figures on a canvas, lay out in mm, check journal rules. Free, open source.
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一分鐘完成驗證OpenCV-based computational string art: photo -> optimized pin sequence
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取自儲存庫 README
正在載入完整 README。 以下為已儲存的摘錄。
Turn a photo into string art: one continuous thread wound between pins on a frame, or one
thread per colour. An OpenCV pipeline crops to the face, weights important features, picks every
line with a physically modelled self-stopping solver, refines the path, and outputs a simulated
render, a thread-by-thread animation and a build kit for a real piece.
• Documentation: https://prem-dharshan.github.io/string-art/ (user guide, report,
build guide, milestone log). The sources are in docs/.
• Try it online: https://cv-string-art.streamlit.app/ (the Streamlit app,
app/streamlit_app.py).檢視完整 README ↗Turn a photo into string art: one continuous thread wound between pins on a frame, or one thread per colour. An OpenCV pipeline crops to the face, weights important features, picks every line with a physically modelled self-stopping solver, refines the path, and outputs a simulated render, a thread-by-thread animation and a build kit for a real piece.
docs/.app/streamlit_app.py).uv sync --extra demo # Python 3.12 + all dependencies (needs uv)
uv run stringart fetch-models # face models (0.2 MB + 56 MB)
uv run stringart run sample:woman_smiling # -> outputs/woman_smiling_greedy/render.png
uv run stringart viz outputs/woman_smiling_greedy
uv run --extra demo stringart demo # web demo at http://127.0.0.1:7860
Every command and argument is explained in the
user guide (source:
docs/guide.md).
uv run --extra web --extra demo pytest -q # 88 tests
uv run python tools/ruff.py check # lint
uv run --group docs mkdocs serve # docs site locally at http://127.0.0.1:8000
20XW97 project · Ajay H (22PW01) · Prem Dharshan D (22PW29) · photo credits: docs/credits.md