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bandana20

v1.0.0

Published

Create a package for image processing tasks like resizing, cropping, and applying filters. This could be useful for building image-heavy applications or handling uploads in web development.

Downloads

2

Readme

Image Processing Package

This is a simple image processing package for Node.js that provides basic functionality for resizing, cropping, and applying filters to images using the sharp module.

Installation

You can install this package via npm:

npm install image-processing

Usage

const ImageProcessing = require('image-processing');

// Create a new instance of the ImageProcessing class
const imageProcessor = new ImageProcessing();

// Example: Resize an image
imageProcessor.resize('input.jpg', 'output_resized.jpg', 200, 200);

// Example: Crop an image
imageProcessor.crop('input.jpg', 'output_cropped.jpg', 50, 50, 200, 200);

// Example: Apply a filter (e.g., greyscale)
imageProcessor.applyFilter('input.jpg', 'output_filtered.jpg', 'greyscale');

API

resize(inputPath, outputPath, width, height)

Resize an image to the specified width and height.

  • inputPath (string): Path to the input image file.
  • outputPath (string): Path where the resized image will be saved.
  • width (number): Target width of the resized image.
  • height (number): Target height of the resized image.

crop(inputPath, outputPath, left, top, width, height)

Crop an image to the specified dimensions.

  • inputPath (string): Path to the input image file.
  • outputPath (string): Path where the cropped image will be saved.
  • left (number): X-coordinate of the top-left corner of the crop area.
  • top (number): Y-coordinate of the top-left corner of the crop area.
  • width (number): Width of the crop area.
  • height (number): Height of the crop area.

applyFilter(inputPath, outputPath, filterName)

Apply a filter to the image.

  • inputPath (string): Path to the input image file.
  • outputPath (string): Path where the filtered image will be saved.
  • filterName (string): Name of the filter to apply (e.g., 'greyscale', 'sepia', etc.).

License

This project is licensed under the MIT License - see the LICENSE file for details.