scale

Maintains the image’s original aspect ratio when resizing

lock

Image Sampler

These values indicate the brightness or darkness of the colors at the sampled positions

colorIntensity

colorHex

<p>BeeGraphy Editor Imaging Plugin

This plugin includes image manipulation nodes designed for use in the BeeGraphy Editor, enabling advanced image processing and analysis capabilities. These nodes are part of the BeeGraphy Editor engine and allow you to work with images, extract information, and perform various transformations.

Usage

The nodes in this plugin are responsible for processing, analyzing, and manipulating image data. They support a variety of image operations, allowing users to extract color information, analyze image properties, apply filters, and preview results.

To find these nodes, look under the Image group in the menu, or use the search engine.

Available Image Processing Capabilities

The plugin provides several types of image processing nodes, each designed for different image manipulation scenarios:

- Image sampling nodes extract color and coordinate information from images. They allow you to sample colors at specific points or across the entire image, providing coordinate data along with color values in various formats such as hexadecimal, intensity, hue, saturation, and brightness. These nodes are useful for converting image data into geometric coordinates or analyzing color distributions.

- UV-based sampling nodes work with UV coordinates to extract color information from images at specific points. They support domain mapping, tiling options, and bilinear interpolation, making them ideal for texture mapping and procedural workflows where you need to sample images based on geometric coordinates.

- Image dimension analysis nodes calculate and provide image properties such as width, height, and aspect ratio. These nodes are essential for understanding image dimensions and maintaining proper proportions in your workflows.

- Grayscale conversion nodes transform color images into grayscale versions. This conversion is useful for simplifying images, reducing color complexity, or preparing images for further processing that requires monochrome input.

- Edge detection nodes identify and highlight edges in images using convolution filters. These nodes are valuable for image analysis, pattern recognition, and creating stylized effects by emphasizing the boundaries between different regions in an image.

- Image preview nodes allow you to visualize images directly in the editor. They provide a convenient way to inspect image data at various stages of processing and verify the results of image manipulation operations.

Common Parameters and Features

Most image processing nodes share common concepts and capabilities:

- Image input: All nodes accept image data as input, which can come from various sources including file uploads, generated images, or outputs from other image processing nodes.

- Color extraction: Many nodes provide color information in multiple formats, including hexadecimal color codes, RGB values, intensity levels, and HSL (Hue, Saturation, Lightness) components.

- Coordinate systems: Sampling nodes work with different coordinate systems, from pixel-based coordinates to normalized UV coordinates, allowing flexible mapping between image space and geometric space.

- Interpolation: Advanced sampling nodes support bilinear interpolation, which provides smoother color sampling when working with fractional coordinates.

- Domain mapping: Some nodes allow you to define custom domains for coordinate mapping, enabling flexible remapping of image coordinates to different ranges.

- Preview capabilities: Several nodes include built-in preview functionality, allowing you to see the results of image processing operations directly in the editor interface.

Each node type may also have specialized parameters that are specific to its processing method, such as sampling gaps, scale factors, aspect ratio locking, and various filter settings.
</p>

Name	Type	Description	Default Value
Image	Image	Accepts input image data for analysis
Gap	Number	Determines spacing between sampled points	100
Scale	Number	Defines the target size for resizing.	30
Lock AR	Boolean	Maintains the image’s original aspect ratio when resizing

Name	Type	Description
X	Number	X coordinates
Y	Number	Y coordinates
Intensity	Number	These values indicate the brightness or darkness of the colors at the sampled positions
Color	String	Color values in hexadecimal format

Creation method

Two Options for Creating an Image Sampler Node

Steps

See Also