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Example code of phpmlkit/opal

Informations about the package opal

Opal

High-performance image processing for PHP, backed by libvips

Latest Version GitHub Workflow Status Total Downloads

Features

Performance

Load → resize → rotate 45° → sharpen (full pipeline):

Image GD Imagick Opal
640×480 8.48 ms 128.55 ms 1.56 ms
1920×1080 49.67 ms 721.97 ms 5.36 ms
4000×2670 152.74 ms 2,039.15 ms 15.47 ms
6000×4000 299.43 ms 3,538.47 ms 33.17 ms

Apple M1, macOS. Run: php benchmarks/opal-vs-gd-vs-imagick.php

Installation

Quick Start

Core Concepts

Lazy Evaluation

All image operations are lazy - they build a pipeline that's only executed when you call a terminal operation:

Immutable Operations

Every transformation returns a new image instance:

Usage Examples

Basic Image Operations

Color Space Conversion

Color Adjustments

Filters and Effects

Drawing and Compositing

NDArray Interoperability

Advanced Options

API Reference

Value Objects

Color

Immutable RGBA color representation.

ImageSize

Immutable 2D size descriptor.

BoundingBox

Immutable axis-aligned bounding box.

Enums

Options Classes

LoadOptions

Control image loading behavior.

SaveOptions

Control image saving behavior.

Performance Tips

  1. Use lazy evaluation: Chain operations together before saving
  2. Use shrink-on-load: Load with Image::thumbnail() or LoadOptions::withShrink() for large images
  3. Choose appropriate interpolation: Use Lanczos for quality, Bilinear for speed
  4. Dispose explicitly: Call dispose() when done with large images

Documentation

Development

Requirements

License

MIT

Credits

All versions of opal with dependencies

PHP Build Version
Package Version
Requires php Version ^8.2
ext-ffi Version *
codewithkyrian/platform-package-installer Version ^2.0
jcupitt/vips Version ^2.0
phpmlkit/ndarray Version ^2.0
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