API Reference

Complete API documentation for ImgVisFeat.

Overview

ImgVisFeat follows a consistent design pattern:

1. All visualizers inherit from AbstractVisualizer
2. Each visualizer implements a __call__ method
3. Visualizers return typed dataclass results
4. Results contain visualization images as NumPy arrays

Quick Reference

Individual Visualizers

Visualizer	Input	Output	Use Case
ColorChannelVisualizer	RGB image	ColorChannelResult	Color channel extraction
ColorGradientVisualizer	RGB image	GradientResult	Gradient for color images
GrayGradientVisualizer	Grayscale image	GradientResult	Gradient for grayscale images
HoGVisualizer	Any image	HogResult	Object detection features
LBPVisualizer	Any image	LBPResult	Texture features
KeypointVisualizer	Any image	KeypointResult	Keypoint detection
PowerSpectrumVisualizer	Any image	PowerSpectrumResult	Frequency analysis

Detailed Documentation

• Visualizers - Complete visualizer class documentation
• Result Types - Result type documentation

Type Hints

All functions and methods include full type hints for better IDE support:

from numpy.typing import NDArray
import numpy as np

def process_image(image: NDArray[np.uint8]) -> ColorChannelResult:
    ...