scitex-cv 0.1.3

Small cv2/Pillow image-processing utilities (load/save, resize/rotate/crop, blur/sharpen/edge, drawing) — standalone module from the SciTeX ecosystem

scitex-cv

Small cv2-based image utilities — I/O, transform, filters, drawing.

Full Documentation · pip install scitex-cv

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Installation

pip install scitex-cv

Quick Start

import scitex_cv as cv

img = cv.load("input.png")
img = cv.resize(img, scale=0.5)
img = cv.blur(img, ksize=5)
edges = cv.edge_detect(img, method="canny")
cv.save(edges, "edges.png")

1 Interfaces

Python API

import scitex_cv as cv

# I/O
img = cv.load("input.png")
cv.save(img, "out.png")
gray = cv.to_gray(img); rgb = cv.to_rgb(img); bgr = cv.to_bgr(img)

# Transform
cv.resize(img, scale=0.5)
cv.rotate(img, angle=90)
cv.flip(img, direction="horizontal")
cv.crop(img, x=10, y=10, width=100, height=100)
cv.pad(img, top=10, bottom=10, left=10, right=10)

# Filters
cv.blur(img, ksize=5); cv.sharpen(img)
cv.edge_detect(img, method="canny")
cv.threshold(img, thresh=128); cv.denoise(img)

# Drawing
cv.rectangle(img, (5, 5), (30, 30), color=(0, 255, 0))
cv.circle(img, (50, 50), radius=10)
cv.line(img, (0, 0), (100, 100))
cv.arrow(img, (0, 0), (50, 50))
cv.text(img, "label", (10, 30))
cv.polylines(img, points=np.array([[0, 0], [100, 0], [100, 100]]))

Status

Standalone fork of scitex.cv. Only deps are numpy + opencv-python. The umbrella package's scitex.cv import path is preserved via a sys.modules-alias bridge.

Part of SciTeX

scitex-cv is part of SciTeX.

Four Freedoms for Research

0. The freedom to run your research anywhere — your machine, your terms.
1. The freedom to study how every step works — from raw data to final manuscript.
2. The freedom to redistribute your workflows, not just your papers.
3. The freedom to modify any module and share improvements with the community.

AGPL-3.0 — because we believe research infrastructure deserves the same freedoms as the software it runs on.

License

AGPL-3.0-only (see LICENSE).

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