lcvtoolbox 1.0.5

Computer vision toolbox for road infrastructure analysis

CV Toolbox

Just another computer vision toolbox.

This project is not ready for public use.

If you look for comprehensive libraries consider these alternatives:

• pytransform3d for 3D computations
• shapely for 2D computations
• CVAT SDK to interact with CVAT
• Hub client library to interact with Hugging Face

Installation

Only available on PyPI

# Install the latest version
pip install lcvtoolbox

# Install a specific version
pip install lcvtoolbox==1.0.1

# Install with optional dependencies
pip install lcvtoolbox[dev]  # Development tools
pip install lcvtoolbox[docs]  # Documentation tools
pip install lcvtoolbox[dev,docs]  # All optional dependencies

System Requirements

• Python 3.12 or higher
• pip (Python package installer)

For OpenCV support, you may need system libraries:

# Ubuntu/Debian
sudo apt-get update && sudo apt-get install -y \
    libglib2.0-0 libsm6 libxext6 libxrender-dev libgomp1

# macOS
brew install opencv

# Windows: Should work out of the box

Python API

import lcvtoolbox

# Example usage of spatial primitives
from lcvtoolbox.spatial.primitives import Point

# Create a 3D point
point = Point(x=1.0, y=2.0, z=3.0)

Features

Spatial Primitives

• Points and Vectors: 3D point and vector operations
• Rotations: Support for multiple rotation representations (quaternion, Euler angles, rotation matrix, axis-angle)
• Poses: 6DOF pose representations with transformations
• Coordinate Transformations: Convert between different coordinate systems

Computer Vision Tools

• Image Processing: Cropping, tiling, and preprocessing utilities
• CVAT Integration: API client for CVAT annotation platform
• Hugging Face Integration: Tools for dataset management

License

All rights reserved.