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Computer vision toolbox for road infrastructure analysis

Project description

CV Toolbox

Just another computer vision toolbox.

Installation

From PyPI (Recommended)

# 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.

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