drawcv 0.1.3

Stylized OpenCV rectangle and frame drawing helpers for detection overlays.

🖼️ drawcv — Stylish Bounding Boxes for OpenCV

Drop-in upgrade for cv2.rectangle() — turn plain bounding boxes into polished, production-ready detection overlays with a single function call.

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✨ What is drawcv?

drawcv is a lightweight Python library that replaces OpenCV's bare-bones bounding rectangles with a collection of modern, styled frames ready for demos, dashboards, and detection pipelines. It works directly on numpy arrays using OpenCV under the hood, so it fits seamlessly into any existing workflow.

One line change. Dramatically better visuals.

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📦 Installation

pip install drawcv

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🚀 Quick Start

import cv2
from drawcv import drawcv

image = cv2.imread("resource/test.png")

drawcv(
    image=image,
    style_id="pro-clean-blue",   # style name or index (0, 1, 2…)
    coords=(80, 60, 280, 220),   # (x1, y1, x2, y2)
)

cv2.imwrite("output.jpg", image)

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🔁 Migration from Plain OpenCV

If you're already using cv2.rectangle, switching takes seconds:

Before

cv2.rectangle(image, (x1, y1), (x2, y2), (0, 255, 0), 2)

After

from drawcv import drawcv

drawcv(
    image=image,
    style_id="pro-clean-blue",
    coords=(x1, y1, x2, y2),
)

With Optional Color & Line Width Override

drawcv(
    image=image,
    style_id="futuristic-hud",
    coords=(x1, y1, x2, y2),
    color=(255, 255, 255),   # BGR color override
    line_width=1,
)

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🎨 Available Styles

List all available styles programmatically:

from drawcv import list_visionframe_styles

styles = list_visionframe_styles()
print(styles)

Styles can be referenced by name (e.g. "futuristic-hud") or by index (e.g. 0, 1, 2).

Generate the Style Gallery

import cv2
from drawcv import create_visionframe_gallery

gallery = create_visionframe_gallery()
cv2.imwrite("resource/visionframe_styles_gallery.png", gallery)

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🔧 API Reference

drawcv(image, style_id, coords, color=None, line_width=None)

Parameter	Type	Description
image	np.ndarray	OpenCV image (BGR, modified in-place)
style_id	str or int	Style name or index from list_visionframe_styles()
coords	tuple	Bounding box as (x1, y1, x2, y2)
color	tuple (optional)	BGR color override (B, G, R)
line_width	int (optional)	Line thickness override

list_visionframe_styles() → list[str]

Returns a list of all available style names.

create_visionframe_gallery() → np.ndarray

Generates a preview gallery image of all available styles.

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🏗️ Project Structure

visionframe/
├── src/            # Library source code
├── tests/          # Pytest test suite
├── resource/       # Sample images and gallery output
├── setup.py
├── pyproject.toml
└── requirements-dev.txt

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🛠️ Local Development

# Create and activate virtual environment
python -m venv .venv
.venv\Scripts\activate       # Windows
# source .venv/bin/activate  # Linux/macOS

# Install in editable mode with dev dependencies
pip install -e .[dev]

Run Tests

pytest

Build Package

python -m build

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📋 Requirements

• Python 3.8+
• opencv-python
• numpy

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📄 License

This project is licensed under the MIT License.

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🤝 Contributing

Contributions are welcome! Feel free to open an issue or submit a pull request for new styles, bug fixes, or improvements.

1. Fork the repository
2. Create a feature branch (git checkout -b feature/new-style)
3. Commit your changes (git commit -m 'Add new frame style')
4. Push and open a Pull Request

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Made with ❤️ for the computer vision community