jrosebr1/imutils
Imutils
imutils ist ein Computer-Vision-Toolkit und eine Bildverarbeitungsbibliothek, die darauf ausgelegt ist, häufige Manipulationsaufgaben mit OpenCV zu vereinfachen. Sie dient als Helfer für die Bildanalyse und als Werkzeug für geometrische Transformationen zur Automatisierung der visuellen Datenverarbeitung.
Das Toolkit bietet spezialisierte Funktionen zur Wahrung der Bildintegrität während Transformationen, wie etwa das Ändern der Bildgröße unter Beibehaltung des Seitenverhältnisses und das Rotieren von Bildern ohne das Abschneiden von Ecken. Es enthält zudem Werkzeuge für 4-Punkt-Perspektiv-Warping zur Erstellung von Draufsichten sowie zur Extraktion topologischer Skelette aus Binärbildern.
Die Bibliothek deckt eine breite Palette an Vorverarbeitungs- und Analysefunktionen ab, einschließlich automatischer Kantenerkennungsschwellenwertberechnung, räumlicher Konturensortierung und Farbraum-Mapping zwischen RGB und BGR. Zusätzlich enthält sie Dienstprogramme für das Datensatzmanagement, wie etwa rekursives Dateisystem-Scannen zur Bilderkennung und einen Web-Bild-Downloader.
Features
- Image Processing - Simplifies common image manipulation tasks like rotation, resizing, and perspective shifts using Python and OpenCV.
- Aspect Ratio Preserving Resizing - Provides a core utility to resize images while automatically preserving the original aspect ratio.
- Computer Vision Preprocessing - Prepares raw image data for machine learning models via contour sorting, edge detection, and color space conversion.
- Computer Vision Utilities - Serves as a toolkit of helper scripts for automating geometry transformations and color space conversions.
- Classical Edge Detection - Provides automated threshold calculation for classical Canny edge detection.
- Aspect Ratio Preservation - Provides utilities to resize images while automatically maintaining the original aspect ratio to prevent stretching.
- Image Geometric Transformations - Uses transformation matrices to automate image rotation, translation, and resizing while preserving data integrity.
- Image Analysis Helpers - Provides a toolset for extracting topological skeletons and performing perspective transforms on visual data.
- Image Geometry Transformations - Automates changes to image orientation and scale while maintaining aspect ratios and preventing edge cropping.
- Image Processing Libraries - A collection of Python functions that simplify common image manipulation tasks using the OpenCV library.
- Color Space Conversions - Handles color space conversions to ensure images render correctly in plotting libraries.
- Spatial Sorting - Provides utilities to order detected contours spatially from left-to-right or top-to-bottom.
- Image Transformation Utilities - Provides utilities for resizing with aspect ratio preservation and rotating images without cropping corners.
- Topological Skeletonization - Implements an iterative erosion and dilation process to extract the topological skeleton of binary images.
- Perspective Warping - Provides four-point perspective warping to flatten skewed images into a top-down view.
- Channel Reordering - Provides a utility to swap color channels between BGR and RGB for consistent rendering.
- Dataset Asset Discovery - Provides tools for finding image files across directories and downloading images from the web for batch processing.
- Threshold Calculation - Implements automatic Canny edge detection threshold calculation based on the median pixel intensity of an image.
- Color Space Transformations - Provides color space mapping to swap RGB and BGR channels for consistent rendering across libraries.
- Spatial Node Sorting - Orders detected image contours by analyzing their center-point coordinates along a specified axis.
- Image Rotation - Implements image rotation that automatically expands the canvas to prevent corner cropping.
- Image Topology Analysis - Analyzes the shape and connectivity of objects by extracting skeletal structures from binary images.
- Perspective Warping - Provides four-point perspective warping to transform skewed images into a flattened top-down view.
- Computer Vision - Convenience functions for basic image processing and manipulation.
