The Anaglyph 3D filter creates a stereoscopic 3D effect by shifting and recoloring the image’s red, green, and blue channels. This effect is commonly used for creating images that can be viewed with red-cyan 3D glasses, giving the impression of depth.

Properties

shift_amount

Description: Determines how much the image channels are shifted relative to each other.
Value Type: Integer
Usage: A higher value increases the separation between channels, enhancing the 3D effect but potentially causing more distortion.

red_weight

Description: Adjusts the intensity of the red channel.
Value Type: Float (0.0 to 1.0)
Usage: Modify this value to balance the red channel’s contribution to the final image.

blue_weight

Description: Adjusts the intensity of the blue channel.
Value Type: Float (0.0 to 1.0)
Usage: Modify this value to balance the blue channel’s contribution to the final image.

green_weight

Description: Adjusts the intensity of the green channel.
Value Type: Float (0.0 to 1.0)
Usage: Modify this value to balance the green channel’s contribution to the final image.

shift_direction

Description: Specifies the direction in which the image channels are shifted.
Value Type: String (options: “horizontal”, “vertical”)
Usage: Choose “horizontal” for a side-to-side shift or “vertical” for an up-and-down shift.

color_tuning

Description: Applies additional color tuning to the final anaglyph image.
Value Type: Float (0.0 to 1.0)
Usage: Use this to fine-tune the colors, especially when creating more subtle or exaggerated 3D effects.

Annotations YOLOv8 Filter

Description

The Annotations YOLOv8 filter uses the YOLOv8 object detection model to detect objects within an image and annotate them with bounding boxes and labels.

Properties

confidence_threshold

Description: The confidence threshold for keeping detected objects.
Value Type: Float (0.0 to 1.0)
Usage: Only objects detected with confidence above this threshold will be annotated.

nms_threshold

Description: The threshold for non-maxima suppression, used to eliminate overlapping bounding boxes.
Value Type: Float (0.0 to 1.0)
Usage: Higher values reduce the number of overlapping boxes.

box_color

Description: The color of the bounding box.
Value Type: Tuple (R, G, B)
Usage: Defines the color of the boxes drawn around detected objects.

text_color

Description: The color of the label text.
Value Type: Tuple (R, G, B)
Usage: Defines the color of the text labels for detected objects.

font_scale

Description: The scale of the text labels.
Value Type: Float
Usage: Adjusts the size of the text labels.

box_thickness

Description: The thickness of the bounding box lines.
Value Type: Integer
Usage: Defines the thickness of the lines for the bounding boxes.

ASCII Art Filter

Description

The ASCII Art filter converts an image into an artistic representation using ASCII characters. This effect is often used to create stylized, text-based versions of images.

Properties

ascii_chars

Description: A custom set of characters used to represent pixel intensities.
Value Type: String
Usage: Define a string of characters where each character represents a different level of brightness.

ascii_scale

Description: The scale factor for the ASCII output.
Value Type: Integer
Usage: Larger values result in fewer characters, with each character representing more pixels.

ascii_invert

Description: Inverts the character mapping so that dark areas use brighter characters and vice versa.
Value Type: Boolean
Usage: Set to True to invert the character mapping.

ascii_font_size

Description: The size of the font used to render the ASCII characters.
Value Type: Integer
Usage: Adjust the font size for the ASCII art.

ascii_brightness

Description: Adjusts the brightness of the grayscale image before converting it to ASCII.
Value Type: Float
Usage: Modify this value to increase or decrease the overall brightness of the ASCII art.

ascii_font_color

Description: The color used for the ASCII characters.
Value Type: Tuple (R, G, B)
Usage: Define the color for the characters in the ASCII art.

ascii_background_color

Description: The background color for the ASCII art image.
Value Type: Tuple (R, G, B)
Usage: Set the color of the background behind the ASCII characters.

Background Removal K-Means Filter

Description

The Background Removal K-Means filter uses K-Means clustering to segment an image and remove the background, replacing it with a specified color.

Properties

k_clusters

Description: The number of clusters used in K-Means clustering.
Value Type: Integer
Usage: Higher values create more distinct regions in the image.

max_iterations

Description: The maximum number of iterations for the K-Means algorithm.
Value Type: Integer
Usage: Increase this value to allow the algorithm more time to converge.

epsilon

Description: The convergence threshold for K-Means clustering.
Value Type: Float
Usage: Smaller values make the algorithm more precise but slower.

attempts

Description: The number of attempts the algorithm makes to perform clustering.
Value Type: Integer
Usage: Increase this value for better clustering results.

invert_mask

Description: Inverts the mask created by K-Means, swapping the foreground and background.
Value Type: Boolean
Usage: Set to True to invert the mask and swap the foreground and background areas.

background_color

Description: The color used to replace the background.
Value Type: Tuple (R, G, B)
Usage: Set the color to fill the background after the original background is removed.

kmeans_flag

Description: The flag for the K-Means algorithm, determining the initialization method.
Value Type: String (options: “RANDOM_CENTERS”, “PP_CENTERS”)
Usage: Choose “RANDOM_CENTERS” for random initialization or “PP_CENTERS” for more accurate initialization.

Background Removal GrabCut Filter

Description

The Background Removal GrabCut filter uses the GrabCut algorithm enhanced with object detection to remove the background from images. This technique is effective for isolating objects in the foreground while replacing the background with a specified color.

Properties

confidence_threshold

Description: The confidence threshold for object detection.
Value Type: Float (0.0 to 1.0)
Usage: Objects detected with confidence above this threshold are used for background removal.

iter_count

Description: The number of iterations for the GrabCut algorithm.
Value Type: Integer
Usage: Increase this value to allow the GrabCut algorithm more time to refine the mask.

resize_factor

Description: The factor by which the image is resized for faster processing.
Value Type: Float
Usage: Smaller values reduce processing time but may decrease accuracy.

morph_operations

Description: Specifies whether to apply morphological operations to refine the mask.
Value Type: Boolean
Usage: Set to True to apply operations such as erosion and dilation to improve the mask.

background_color

Description: The color used to replace the background.
Value Type: Tuple (R, G, B)
Usage: Set the color to fill the background after the original background is removed.

Background Removal Human Filter

Description

The Background Removal Human filter isolates human figures from the background using a combination of object detection and the DeepLabV3 segmentation model. The background can be replaced with a specified color, making it useful for applications like virtual backgrounds.

Properties

confidence_threshold

Description: The confidence threshold for object detection.
Value Type: Float (0.0 to 1.0)
Usage: Objects detected with confidence above this threshold are used for background removal.

iter_count

Description: The number of iterations for the GrabCut algorithm.
Value Type: Integer
Usage: Increase this value to allow the GrabCut algorithm more time to refine the mask.

resize_factor

Description: The factor by which the image is resized for faster processing.
Value Type: Float
Usage: Smaller values reduce processing time but may decrease accuracy.

background_color

Description: The color used to replace the background.
Value Type: Tuple (R, G, B)
Usage: Set the color to fill the background after the original background is removed.

box_expansion

Description: Expands the bounding boxes around detected humans to ensure the entire figure is captured.
Value Type: Float
Usage: Increase this value to include more of the surroundings in the mask.

use_deeplab

Description: Specifies whether to use the DeepLabV3 model for more accurate segmentation.
Value Type: Boolean
Usage: Set to True to enable the DeepLabV3 model for enhanced segmentation accuracy.

Bilateral Filter

Description

The Bilateral Filter is a noise-reducing filter that preserves edges. It smooths images while maintaining sharp edges, making it useful for applications like cartooning and noise reduction in photos.

Properties

diameter

Description: The diameter of the pixel neighborhood used for filtering.
Value Type: Integer
Usage: Larger values increase the neighborhood size, affecting more pixels.

sigma_color

Description: The filter’s sensitivity to color differences.
Value Type: Float
Usage: Higher values smooth regions with similar colors, preserving edges more effectively.

sigma_space

Description: The filter’s sensitivity to spatial differences.
Value Type: Float
Usage: Higher values smooth across larger areas, affecting more distant pixels.

Blueprint Filter

Description

The Blueprint Filter creates a blueprint-like effect by inverting the colors, applying edge detection, and mapping the result to a color map. This filter is useful for stylizing images in a technical or artistic manner.

Properties

intensity

Description: Adjusts the intensity of the inversion effect.
Value Type: Float (0.0 to 1.0)
Usage: Higher values increase the intensity of the inversion, creating a stronger blueprint effect.

colormap

Description: Specifies the color map applied to the inverted image.
Value Type: String
Usage: Choose a color map like “HOT”, “COOL”, or “JET” to apply different color schemes to the blueprint.

edge_detection

Description: Toggles edge detection before applying the blueprint effect.
Value Type: Boolean
Usage: Set to True to enhance edges in the image, making the blueprint effect more pronounced.

edge_threshold

Description: The threshold for edge detection.
Value Type: Integer
Usage: Lower values detect more edges, while higher values focus on stronger edges.

smoothing

Description: Applies Gaussian smoothing before processing the image.
Value Type: Float
Usage: Increase this value to smooth the image, reducing noise before applying the blueprint effect.

Blur Filter

Description

The Blur Filter applies a blurring effect to an image, softening its appearance. This can be used to reduce noise, create depth of field effects, or prepare images for further processing.

Properties

blur_radius

Description: The radius of the blur effect.
Value Type: Float
Usage: Larger values increase the blur, softening more of the image.

blur_mode

Description: Specifies the type of blur to apply (e.g., Gaussian, Box).
Value Type: String (options: “GAUSSIAN”, “BOX”, “BLUR”)
Usage: Choose the blur mode based on the desired effect. “GAUSSIAN” provides a natural blur, while “BOX” is faster.

blur_quality

Description: The quality of the blur effect.
Value Type: Integer
Usage: Higher values increase the quality but may slow down processing.

blur_apply_to_alpha

Description: Specifies whether to apply the blur to the alpha (transparency) channel.
Value Type: Boolean
Usage: Set to True to blur the alpha channel along with the color channels.

Canny Edge Detection Filter

Description

The Canny Edge Detection filter detects edges in an image using the Canny algorithm. It is widely used in image processing to identify boundaries and enhance features in images.

Properties

threshold1

Description: The first threshold for the hysteresis procedure.
Value Type: Integer
Usage: Lower values detect more edges, but may include noise.

threshold2

Description: The second threshold for the hysteresis procedure.
Value Type: Integer
Usage: Higher values focus on strong edges, reducing noise.

aperture_size

Description: The aperture size for the Sobel operator.
Value Type: Integer
Usage: Typical values are 3, 5, or 7. Larger values detect broader edges.

l2_gradient

Description: Specifies whether to use a more accurate L2 gradient for edge detection.
Value Type: Boolean
Usage: Set to True for more accurate edge detection at the cost of processing speed.

line_color

Description: The color of the detected edges.
Value Type: Tuple (R, G, B)
Usage: Set the color for the edges detected by the algorithm.

background_color

Description: The color used to fill areas without detected edges.
Value Type: Tuple (R, G, B)
Usage: Set the color for the background areas of the image.

Cartoon Filter

Description

The Cartoon Filter transforms an image into a cartoon-like version by smoothing colors and enhancing edges. This effect is often used to create stylized, comic book-style images.

Properties

bilateral_d

Description: The diameter of the pixel neighborhood used in the bilateral filter.
Value Type: Integer
Usage: Larger values increase the smoothing effect, which is key to the cartoon look.

sigma_color

Description: The filter’s sensitivity to color differences.
Value Type: Float
Usage: Higher values increase the smoothing of colors, preserving edges.

sigma_space

Description: The filter’s sensitivity to spatial differences.
Value Type: Float
Usage: Higher values smooth across larger areas, affecting more distant pixels.

median_blur_size

Description: The size of the kernel used for the median blur.
Value Type: Integer
Usage: Higher values reduce noise more effectively but may blur details.

block_size

Description: The size of the neighborhood used for adaptive thresholding.
Value Type: Integer
Usage: Smaller values detect more edges, creating a more detailed cartoon effect.

c_value

Description: A constant subtracted from the mean or weighted mean in adaptive thresholding.
Value Type: Float
Usage: Adjust this value to fine-tune the edge detection for the cartoon effect.

edge_thickness

Description: The thickness of the edges in the cartoon effect.
Value Type: Integer
Usage: Larger values produce thicker edges, enhancing the cartoon appearance.

red_tint

Description: Adjusts the red tint of the final image.
Value Type: Float (0.0 to 1.0)
Usage: Modify this value to increase or decrease the red tones in the cartoon image.

green_tint

Description: Adjusts the green tint of the final image.
Value Type: Float (0.0 to 1.0)
Usage: Modify this value to increase or decrease the green tones in the cartoon image.

blue_tint

Description: Adjusts the blue tint of the final image.
Value Type: Float (0.0 to 1.0)
Usage: Modify this value to increase or decrease the blue tones in the cartoon image.

Charcoal Sketch Filter

Description

The Charcoal Sketch filter converts an image into a charcoal-style sketch by emphasizing edges and using grayscale tones. This effect is ideal for creating artistic, hand-drawn appearances.

Properties

blur_radius

Description: The radius of the Gaussian blur applied to the image.
Value Type: Integer
Usage: Larger values create smoother transitions in the sketch.

scale_factor

Description: The scaling factor used in the division method to create the sketch effect.
Value Type: Float
Usage: Adjust this value to control the contrast and intensity of the sketch.

contrast

Description: Adjusts the contrast of the final sketch image.
Value Type: Float
Usage: Higher values increase the contrast, making the sketch more defined.

brightness

Description: Adjusts the brightness of the final sketch image.
Value Type: Float
Usage: Modify this value to increase or decrease the overall brightness of the sketch.

tint_color

Description: The color used to tint the final sketch image.
Value Type: Tuple (R, G, B)
Usage: Apply a color tint to the sketch to give it a specific hue.

sketch_color

Description: The color of the sketch lines.
Value Type: Tuple (R, G, B)
Usage: Define the color of the lines in the sketch.

background_color

Description: The color of the background in the sketch image.
Value Type: Tuple (R, G, B)
Usage: Set the background color for the sketch, usually a light tone.

Chrome Filter

Description

The Chrome Filter applies a metallic chrome effect to an image by enhancing edges, adjusting brightness and contrast, and applying a color map. This effect is often used to create a shiny, reflective appearance.

Properties

colormap_type

Description: Specifies the type of color map applied to the image.
Value Type: String
Usage: Choose a color map like “HOT”, “COOL”, or “JET” to apply different color schemes.

intensity

Description: Adjusts the intensity of the chrome effect.
Value Type: Float (0.0 to 1.0)
Usage: Higher values increase the intensity, making the chrome effect more pronounced.

brightness

Description: Adjusts the brightness of the image.
Value Type: Float
Usage: Modify this value to increase or decrease the overall brightness.

contrast

Description: Adjusts the contrast of the image.
Value Type: Float
Usage: Higher values increase the contrast, enhancing the chrome effect.

tint_color

Description: The color used to tint the final chrome image.
Value Type: Tuple (R, G, B)
Usage: Apply a color tint to the chrome effect to give it a specific hue.

edge_enhancement

Description: Toggles the enhancement of edges in the image.
Value Type: Boolean
Usage: Set to True to enhance edges, making the chrome effect more defined.

Color Histogram Filter

Description

The Color Histogram filter calculates and displays the color histogram of an image. This visualization shows the distribution of colors in the image, which is useful for analyzing image content and color balance.

Properties

hist_bins

Description: The number of bins used for the histogram.
Value Type: Integer
Usage: Higher values provide more detailed histograms but may increase noise.

hist_range_min

Description: The minimum range value for the histogram.
Value Type: Integer
Usage: Set the lower bound for the histogram range.

hist_range_max

Description: The maximum range value for the histogram.
Value Type: Integer
Usage: Set the upper bound for the histogram range.

hist_height

Description: The height of the histogram display.
Value Type: Integer
Usage: Increase this value to make the histogram taller.

hist_width

Description: The width of the histogram display.
Value Type: Integer
Usage: Increase this value to make the histogram wider.

line_thickness

Description: The thickness of the histogram lines.
Value Type: Integer
Usage: Increase this value to make the histogram lines thicker.

line_color_r

Description: The color of the red channel line.
Value Type: Tuple (R, G, B)
Usage: Set the color of the line representing the red channel in the histogram.

line_color_g

Description: The color of the green channel line.
Value Type: Tuple (R, G, B)
Usage: Set the color of the line representing the green channel in the histogram.

line_color_b

Description: The color of the blue channel line.
Value Type: Tuple (R, G, B)
Usage: Set the color of the line representing the blue channel in the histogram.

background_color

Description: The background color of the histogram display.
Value Type: Tuple (R, G, B)
Usage: Set the color of the background behind the histogram lines.

Color Palette Filter

Description

The Color Palette filter extracts the most dominant colors from an image and displays them as a color palette. This is useful for color analysis and creating consistent color schemes.

Properties

n_colors

Description: The number of dominant colors to extract.
Value Type: Integer
Usage: Increase this value to extract more colors for the palette.

display_width

Description: The width of each color block in the palette.
Value Type: Integer
Usage: Adjust this value to control the width of each color block.

display_height

Description: The height of the color palette display.
Value Type: Integer
Usage: Adjust this value to control the height of the palette display.

resize_factor

Description: The factor by which the image is resized for faster processing.
Value Type: Float
Usage: Smaller values reduce processing time but may decrease accuracy.

sorting

Description: Specifies how to sort the colors in the palette (e.g., by frequency, brightness).
Value Type: String (options: “Frequency”, “Brightness”)
Usage: Choose “Frequency” to sort by how often each color appears, or “Brightness” to sort by brightness.

border_width

Description: The width of the border between color blocks.
Value Type: Integer
Usage: Increase this value to make the borders between colors thicker.

border_color

Description: The color of the border between color blocks.
Value Type: Tuple (R, G, B)
Usage: Set the color of the borders in the palette.

rotation

Description: Specifies the orientation of the palette (e.g., horizontal, vertical).
Value Type: String (options: “Horizontal”, “Vertical”)
Usage: Choose “Horizontal” for a horizontal palette or “Vertical” for a vertical one.

include_rgb

Description: Specifies whether to include the RGB values inside the color blocks.
Value Type: Boolean
Usage: Set to True to display RGB values within each color block.

Color Palette Layover Filter

Description

The Color Palette Layover filter extracts the most dominant colors from an image and overlays them as a color palette on the image itself. This is useful for visualizing the color distribution directly on the image.

Properties

n_colors

Description: The number of dominant colors to extract.
Value Type: Integer
Usage: Increase this value to extract more colors for the palette.

display_width

Description: The width of each color block in the palette.
Value Type: Integer
Usage: Adjust this value to control the width of each color block.

display_height

Description: The height of the color palette display.
Value Type: Integer
Usage: Adjust this value to control the height of the palette display.

resize_factor

Description: The factor by which the image is resized for faster processing.
Value Type: Float
Usage: Smaller values reduce processing time but may decrease accuracy.

sorting

Description: Specifies how to sort the colors in the palette (e.g., by frequency, brightness).
Value Type: String (options: “Frequency”, “Brightness”)
Usage: Choose “Frequency” to sort by how often each color appears, or “Brightness” to sort by brightness.

border_width

Description: The width of the border between color blocks.
Value Type: Integer
Usage: Increase this value to make the borders between colors thicker.

border_color

Description: The color of the border between color blocks.
Value Type: Tuple (R, G, B)
Usage: Set the color of the borders in the palette.

rotation

Description: Specifies the orientation of the palette (e.g., horizontal, vertical).
Value Type: String (options: “Horizontal”, “Vertical”)
Usage: Choose “Horizontal” for a horizontal palette or “Vertical” for a vertical one.

include_rgb

Description: Specifies whether to include the RGB values inside the color blocks.
Value Type: Boolean
Usage: Set to True to display RGB values within each color block.

position

Description: Specifies the position of the palette overlay on the image.
Value Type: String (options: “Top Left”, “Top Right”, “Bottom Left”, “Bottom Right”, “Center”)
Usage: Choose the position where the palette will be overlaid on the image.

Color Quantization Filter

Description

The Color Quantization filter reduces the number of colors in an image by applying K-Means clustering. This effect is useful for artistic purposes and for reducing the complexity of images for certain applications.

Properties

K

Description: The number of colors to reduce the image to.
Value Type: Integer
Usage: Increase this value to retain more colors in the image.

criteria_type

Description: The type of criteria used for the K-Means algorithm.
Value Type: String (options: “EPS”, “MAX_ITER”, “EPS + MAX_ITER”)
Usage: Choose the criteria based on the desired convergence method.

max_iterations

Description: The maximum number of iterations for the K-Means algorithm.
Value Type: Integer
Usage: Higher values allow the algorithm more time to converge.

epsilon

Description: The convergence threshold for the K-Means algorithm.
Value Type: Float
Usage: Smaller values make the algorithm more precise but slower.

attempts

Description: The number of attempts the algorithm makes to perform clustering.
Value Type: Integer
Usage: Increase this value for better clustering results.

color_space

Description: The color space used for the quantization.
Value Type: String (options: “RGB”, “LAB”, “HSV”)
Usage: Choose the color space based on the desired color manipulation.

dithering

Description: Specifies whether to apply dithering to the quantized image.
Value Type: Boolean
Usage: Set to True to apply dithering, which can help to reduce banding in the quantized image.

concurrency

Description: Specifies the number of threads used for concurrent processing.
Value Type: Integer
Usage: Increase this value to speed up processing on multi-core systems.

Contains Text Filter

Description

The Contains Text filter checks whether the filename of the current image contains specific text. This is useful for selectively processing images based on their filenames.

Properties

contains_text

Description: A comma-separated list of text strings to search for in the filename.
Value Type: String
Usage: Enter text strings that the filter will search for in the image filenames.

Contour Filter

Description

The Contour filter detects and emphasizes the contours of objects within an image. This effect is useful for artistic rendering and edge detection.

Properties

sensitivity

Description: Adjusts the sensitivity of the contour detection.
Value Type: Float
Usage: Higher values increase the contrast of the contours.

line_thickness

Description: The thickness of the contour lines.
Value Type: Integer
Usage: Increase this value to make the contour lines thicker.

invert

Description: Specifies whether to invert the contour colors.
Value Type: Boolean
Usage: Set to True to invert the colors of the contours.

smoothness

Description: Applies Gaussian smoothing to the image before contour detection.
Value Type: Float
Usage: Higher values increase the smoothness, reducing noise in the contours.

blend_original

Description: Blends the original image with the contour image.
Value Type: Float
Usage: Higher values retain more of the original image in the final result.

threshold

Description: Applies a threshold to the grayscale image before contour detection.
Value Type: Integer
Usage: Higher values increase the threshold, reducing the amount of detected contours.

concurrency

Description: Specifies the number of threads used for concurrent processing.
Value Type: Integer
Usage: Increase this value to speed up processing on multi-core systems.

Crystallize Filter

Description

The Crystallize filter transforms an image into a mosaic of crystal-like shapes using K-Means clustering. This effect is useful for creating stylized, abstract versions of images.

Properties

crystallize_clusters

Description: The number of crystal shapes to create.
Value Type: Integer
Usage: Higher values create more, smaller crystals.

criteria_type

Description: The type of criteria used for the K-Means algorithm.
Value Type: String (options: “EPS”, “MAX_ITER”, “EPS + MAX_ITER”)
Usage: Choose the criteria based on the desired convergence method.

max_iterations

Description: The maximum number of iterations for the K-Means algorithm.
Value Type: Integer
Usage: Higher values allow the algorithm more time to converge.

epsilon

Description: The convergence threshold for the K-Means algorithm.
Value Type: Float
Usage: Smaller values make the algorithm more precise but slower.

attempts

Description: The number of attempts the algorithm makes to perform clustering.
Value Type: Integer
Usage: Increase this value for better clustering results.

color_space

Description: The color space used for the crystallization.
Value Type: String (options: “RGB”, “LAB”, “HSV”)
Usage: Choose the color space based on the desired color manipulation.

dithering

Description: Specifies whether to apply dithering to the crystallized image.
Value Type: Boolean
Usage: Set to True to apply dithering, which can help to reduce banding in the crystallized image.

concurrency

Description: Specifies the number of threads used for concurrent processing.
Value Type: Integer
Usage: Increase this value to speed up processing on multi-core systems.

Circle Cutout Overlay Filter

Description

The Circle Cutout Overlay filter applies a circular mask to an image, preserving the content inside the circle and optionally filling the outside with a specified color. This effect is useful for creating focused, vignette-style images.

Properties

color

Description: The color used to fill the area outside the circle.
Value Type: Tuple (R, G, B)
Usage: Set the color to fill the area outside the circular mask.

Diamond Cutout Overlay Filter

Description

The Diamond Cutout Overlay filter applies a diamond-shaped mask to an image, preserving the content inside the diamond and optionally filling the outside with a specified color. This effect is useful for creating focused, geometric-style images.

Properties

color

Description: The color used to fill the area outside the diamond.
Value Type: Tuple (R, G, B)
Usage: Set the color to fill the area outside the diamond-shaped mask.

Heart Cutout Overlay Filter

Description

The Heart Cutout Overlay filter applies a heart-shaped mask to an image, preserving the content inside the heart and optionally filling the outside with a specified color. This effect is often used for creating romantic or sentimental images.

Properties

fill_color

Description: The color used to fill the area outside the heart.
Value Type: Tuple (R, G, B)
Usage: Set the color to fill the area outside the heart-shaped mask.

Hexagon Cutout Overlay Filter

Description

The Hexagon Cutout Overlay filter applies a hexagon-shaped mask to an image, preserving the content inside the hexagon and optionally filling the outside with a specified color. This effect is useful for creating geometric, stylized images.

Properties

color

Description: The color used to fill the area outside the hexagon.
Value Type: Tuple (R, G, B)
Usage: Set the color to fill the area outside the hexagon-shaped mask.

Oval Cutout Overlay Filter

Description

The Oval Cutout Overlay filter applies an oval-shaped mask to an image, preserving the content inside the oval and optionally filling the outside with a specified color. This effect is useful for creating vignette or portrait-style images.

Properties

color

Description: The color used to fill the area outside the oval.
Value Type: Tuple (R, G, B)
Usage: Set the color to fill the area outside the oval-shaped mask.

Square Cutout Overlay Filter

Description

The Square Cutout Overlay filter applies a square-shaped mask to an image, preserving the content inside the square and optionally filling the outside with a specified color. This effect is useful for creating focused, framed images.

Properties

color

Description: The color used to fill the area outside the square.
Value Type: Tuple (R, G, B)
Usage: Set the color to fill the area outside the square-shaped mask.

Star Cutout Overlay Filter

Description

The Star Cutout Overlay filter applies a star-shaped mask to an image, preserving the content inside the star and optionally filling the outside with a specified color. This effect is often used for creating celebratory or thematic images.

Properties

color

Description: The color used to fill the area outside the star.
Value Type: Tuple (R, G, B)
Usage: Set the color to fill the area outside the star-shaped mask.

Triangle Cutout Overlay Filter

Description

The Triangle Cutout Overlay filter applies a triangle-shaped mask to an image, preserving the content inside the triangle and optionally filling the outside with a specified color. This effect is useful for creating geometric, stylized images.

Properties

color

Description: The color used to fill the area outside the triangle.
Value Type: Tuple (R, G, B)
Usage: Set the color to fill the area outside the triangle-shaped mask.

Cyberpunk Filter

Description

The Cyberpunk filter applies a stylized, futuristic effect to images using color manipulation, edge enhancement, and glow effects. This effect is inspired by the neon-lit aesthetic of the cyberpunk genre.

Properties

shadow_colors

Description: Colors used for shadows in the image.
Value Type: List[Tuple (R, G, B)]
Usage: Define up to two colors to be applied to the shadow areas.

highlight_colors

Description: Colors used for highlights in the image.
Value Type: List[Tuple (R, G, B)]
Usage: Define up to two colors to be applied to the highlight areas.

blur_radius

Description: The radius of the Gaussian blur applied to the image.
Value Type: Integer
Usage: Larger values create a stronger glow effect.

blend_mode

Description: Specifies the blend mode used to combine the layers (e.g., SCREEN, OVERLAY, MULTIPLY).
Value Type: String
Usage: Choose a blend mode to define how the layers are combined.

opacity

Description: The opacity of the final blended image.
Value Type: Float
Usage: Higher values make the blend more prominent.

desaturation

Description: Desaturates the image before applying the cyberpunk effect.
Value Type: Float
Usage: Higher values reduce the overall saturation, creating a more subdued effect.

Denoise Filter

Description

The Denoise filter reduces noise in an image while preserving important details. This effect is particularly useful for cleaning up images that have been captured in low light or with high ISO settings.

Properties

h

Description: The strength of the denoising for the luminance component.
Value Type: Float
Usage: Higher values result in stronger denoising.

h_for_color

Description: The strength of the denoising for the color components.
Value Type: Float
Usage: Higher values result in stronger denoising for colors.

template_window_size

Description: The size of the template window used in denoising.
Value Type: Integer
Usage: Larger values use more pixels to denoise each part of the image.

search_window_size

Description: The size of the search window used in denoising.
Value Type: Integer
Usage: Larger values allow the algorithm to find more similar patches for denoising.

color_tint

Description: The color tint applied to the denoised image.
Value Type: Tuple (R, G, B)
Usage: Apply a color tint to adjust the overall hue of the denoised image.

intensity

Description: The intensity of the denoising effect.
Value Type: Float
Usage: Higher values apply stronger denoising.

Detail Filter

Description

The Detail filter enhances the fine details in an image. It is useful for bringing out texture and subtle elements that might otherwise be lost.

Properties

detail_intensity

Description: The intensity of the detail enhancement.
Value Type: Float
Usage: Increase to enhance more details.

edge_threshold

Description: Sensitivity of edge detection during detail enhancement.
Value Type: Float
Usage: Lower values increase sensitivity to edges.

smoothness

Description: Smoothness of the result, reducing noise while enhancing details.
Value Type: Float
Usage: Increase to smooth out the enhanced details.

contrast_adjustment

Description: Adjustment to the contrast of the enhanced image.
Value Type: Float
Usage: Increase to boost contrast in the details.

color_enhancement

Description: Adjustment to the color saturation of the enhanced image.
Value Type: Float
Usage: Increase to enhance color vibrancy in the details.

Diffuse Glow Filter

Description

The Diffuse Glow filter adds a soft, glowing effect to the image, reminiscent of a dreamy or ethereal atmosphere.

Properties

glow_intensity

Description: The intensity of the glow effect.
Value Type: Float
Usage: Increase to make the glow more prominent.

blur_radius

Description: The radius of the blur applied to create the glow.
Value Type: Integer
Usage: Larger values create a softer, more diffused glow.

blend_factor

Description: The blending factor between the original image and the glow effect.
Value Type: Float
Usage: Higher values blend more of the glow effect into the image.

tint_color

Description: The color used to tint the glow effect.
Value Type: Tuple (R, G, B)
Usage: Set a color to tint the glow.

inverted_mask

Description: Whether to invert the mask used to create the glow.
Value Type: Boolean
Usage: Set to True to invert the glow effect.

Dotted Halftone Filter

Description

The Dotted Halftone filter creates a halftone effect using dots to represent different shades of gray, giving a retro or print-like appearance.

Properties

halftone_block_size

Description: The size of the pixel neighborhood for adaptive thresholding.
Value Type: Integer
Usage: Larger values result in larger dots.

halftone_C_value

Description: The constant subtracted from the mean in adaptive thresholding.
Value Type: Float
Usage: Adjust to control the dot intensity.

halftone_threshold_type

Description: The method used for adaptive thresholding.
Value Type: String (options: "MEAN_C", "GAUSSIAN_C")
Usage: Choose the method that gives the desired effect.

halftone_dot_color

Description: The color of the dots.
Value Type: Tuple (R, G, B)
Usage: Set the color for the halftone dots.

halftone_background_color

Description: The background color for the halftone effect.
Value Type: Tuple (R, G, B)
Usage: Set the background color behind the dots.

halftone_dot_size

Description: The multiplier for the size of the dots.
Value Type: Float
Usage: Increase to make the dots larger.

Edge Enhance Filter

Description

The Edge Enhance filter sharpens the edges within an image, making details more pronounced.

Properties

edge_enhance_strength

Description: The strength of the edge enhancement.
Value Type: Float
Usage: Increase to make edges more defined.

edge_enhance_blend

Description: The blending factor between the enhanced edges and the original image.
Value Type: Float
Usage: Higher values blend more of the edge enhancement into the image.

edge_detection_method

Description: The method used for detecting edges.
Value Type: String
Usage: Choose the method based on the desired effect.

edge_sharpening

Description: Whether to apply additional sharpening after edge enhancement.
Value Type: Boolean
Usage: Set to True to apply additional sharpening.

edge_enhance_type

Description: The type of edge enhancement applied (EDGE_ENHANCE or EDGE_ENHANCE_MORE).
Value Type: String
Usage: Choose the type based on how strong you want the enhancement.

Emboss Filter

Description

The Emboss filter creates a three-dimensional effect that makes the image look as though it has been embossed.

Properties

emboss_direction

Description: The direction of the emboss effect.
Value Type: String
Usage: Choose the direction of the light source for the emboss.

emboss_strength

Description: The strength of the emboss effect.
Value Type: Float
Usage: Increase to make the emboss more pronounced.

emboss_blend

Description: The blending factor between the original image and the embossed effect.
Value Type: Float
Usage: Higher values blend more of the emboss effect into the image.

emboss_softness

Description: The smoothness of the emboss effect.
Value Type: Float
Usage: Increase to make the emboss softer and less sharp.

emboss_apply_to_alpha

Description: Whether to apply the emboss effect to the alpha channel.
Value Type: Boolean
Usage: Set to True to apply embossing to the alpha channel.

Engrave Filter

Description

The Engrave filter simulates the appearance of an engraved image, adding texture and depth.

Properties

engrave_blur_radius

Description: The radius of the blur applied to the engraving.
Value Type: Integer
Usage: Larger values result in a softer engraving.

engrave_blur_sigma_x

Description: The horizontal intensity of the blur.
Value Type: Float
Usage: Increase for more horizontal blur.

engrave_blur_sigma_y

Description: The vertical intensity of the blur.
Value Type: Float
Usage: Increase for more vertical blur.

engrave_intensity

Description: The intensity of the engraving effect.
Value Type: Float
Usage: Increase to make the engraving deeper and more pronounced.

engrave_inversion

Description: Whether to invert the grayscale image before engraving.
Value Type: Boolean
Usage: Set to True to invert the image before applying the engraving.

engrave_color

Description: The color applied to the engraved lines.
Value Type: Tuple (R, G, B)
Usage: Set the color for the engraved lines.

engrave_background_color

Description: The background color for the engraving effect.
Value Type: Tuple (R, G, B)
Usage: Set the background color behind the engraved lines.

Extrude 3D Filter

Description

The Extrude 3D filter creates a three-dimensional extrusion effect, adding depth and shadow to make parts of the image appear raised.

Properties

extrude_depth

Description: The depth of the extrusion effect.
Value Type: Float
Usage: Increase to make the extrusion deeper.

extrude_edge_sharpness

Description: The sharpness of the edges of the extrusion.
Value Type: Float
Usage: Increase for sharper edges.

extrude_light_direction

Description: The direction of the light source for the extrusion.
Value Type: String
Usage: Choose the direction of the light for the shadow effects.

extrude_light_intensity

Description: The intensity of the light applied to the extrusion.
Value Type: Float
Usage: Increase for stronger light and shadow contrast.

extrude_colorize

Description: Whether to apply a color tint to the extrusion.
Value Type: Boolean
Usage: Set to True to add a color tint.

extrude_color_tint

Description: The color tint applied to the extrusion.
Value Type: Tuple (R, G, B)
Usage: Set the color tint for the extrusion.

extrude_height_map_strength

Description: The strength of the height map used to create the extrusion.
Value Type: Float
Usage: Increase to enhance the height map effect.

extrude_smoothness

Description: The smoothness of the extrusion.
Value Type: Float
Usage: Increase to make the extrusion smoother.

extrude_mode

Description: The direction of the extrusion, either inward or outward.
Value Type: String (options: "Inward", "Outward")
Usage: Choose the mode based on the desired effect.

Eye Detection Filter

Description

The Eye Detection filter detects eyes in an image and can optionally draw bounding boxes around them. This is useful for applications that require facial feature detection.

Properties

eye_detection_draw_bounding_boxes

Description: Whether to draw bounding boxes around detected eyes.
Value Type: Boolean
Usage: Set to True to draw bounding boxes.

eye_detection_bounding_box_color

Description: The color of the bounding boxes.
Value Type: Tuple (R, G, B)
Usage: Set the color for the bounding boxes.

eye_detection_bounding_box_thickness

Description: The thickness of the bounding boxes.
Value Type: Integer
Usage: Increase to make the bounding boxes thicker.

eye_detection_scale_factor

Description: The scale factor for the eye detection algorithm.
Value Type: Float
Usage: Adjust to control how the algorithm scales the image.

eye_detection_min_neighbors

Description: The minimum number of neighbors each eye should have in order to be retained.
Value Type: Integer
Usage: Increase to reduce false positives.

eye_detection_min_size

Description: The minimum size of eyes to detect.
Value Type: Tuple (Width, Height)
Usage: Set the minimum size for detected eyes.

Face Detection Filter

Description

The Face Detection filter detects faces in an image using MTCNN (Multi-task Cascaded Convolutional Networks) and can optionally draw bounding boxes around them.

Properties

face_detection_confidence_threshold

Description: The confidence threshold for detecting faces.
Value Type: Float
Usage: Set the minimum confidence level for a face to be considered valid.

face_detection_draw_bounding_boxes

Description: Whether to draw bounding boxes around detected faces.
Value Type: Boolean
Usage: Set to True to draw bounding boxes.

face_detection_bounding_box_color

Description: The color of the bounding boxes.
Value Type: Tuple (R, G, B)
Usage: Set the color for the bounding boxes.

face_detection_box_thickness

Description: The thickness of the bounding boxes.
Value Type: Integer
Usage: Increase to make the bounding boxes thicker.

face_detection_max_faces

Description: The maximum number of faces to detect.
Value Type: Integer
Usage: Set a limit on the number of faces to detect.

Find Edges Filter

Description

The Find Edges filter detects and highlights the edges in an image, creating a sharp, defined look.

Properties

edge_detection_algorithm

Description: The algorithm used for edge detection.
Value Type: String (options: "FIND_EDGES", "SOBEL", "PREWITT")
Usage: Choose the algorithm based on the desired edge effect.

edge_threshold

Description: The sensitivity threshold for edge detection.
Value Type: Float
Usage: Lower values increase edge sensitivity.

edge_enhancement

Description: Whether to enhance the edges after detection.
Value Type: Boolean
Usage: Set to True to enhance the detected edges.

edge_smoothness

Description: The smoothness of the edges.
Value Type: Float
Usage: Increase to smooth out the edges.

edge_apply_to_alpha

Description: Whether to apply edge detection to the alpha channel.
Value Type: Boolean
Usage: Set to True to apply edge detection to the alpha channel.

Fire Filter

Description

The Fire filter applies a fiery effect to an image using color mapping, intensity adjustments, and optional tinting.

Properties

fire_colormap_type

Description: The type of colormap used to create the fire effect.
Value Type: String
Usage: Choose a colormap type that gives the desired fiery appearance.

fire_intensity

Description: The intensity of the fire effect.
Value Type: Float
Usage: Increase to make the fire effect more prominent.

fire_contrast

Description: The contrast adjustment applied before the fire effect.
Value Type: Float
Usage: Increase to make the fire effect more dramatic.

fire_brightness

Description: The brightness adjustment applied before the fire effect.
Value Type: Float
Usage: Increase to make the fire effect brighter.

fire_overlay_strength

Description: The strength of the overlay between the original image and the fire effect.
Value Type: Float
Usage: Higher values make the fire effect more dominant.

fire_color_tint

Description: The color tint applied to the fire effect.
Value Type: Tuple (R, G, B)
Usage: Set the color tint for the fire effect.

fire_invert_colors

Description: Whether to invert the colors of the fire effect.
Value Type: Boolean
Usage: Set to True to invert the colors.

Fisheye Filter

Description

The Fisheye filter simulates a fisheye lens effect, creating a wide-angle distortion that warps the image in a circular manner.

Properties

fisheye_intensity

Description: The intensity of the fisheye effect.
Value Type: Float
Usage: Increase to make the fisheye effect more pronounced.

fisheye_lens_distortion

Description: The level of distortion applied to the lens.
Value Type: Float
Usage: Increase for more extreme lens distortion.

fisheye_center_shift_x

Description: The horizontal shift of the fisheye center.
Value Type: Float
Usage: Adjust to shift the fisheye effect horizontally.

fisheye_center_shift_y

Description: The vertical shift of the fisheye center.
Value Type: Float
Usage: Adjust to shift the fisheye effect vertically.

fisheye_edge_behavior

Description: How the edges are handled in the fisheye effect.
Value Type: String (options: "Constant", "Reflect")
Usage: Choose how to treat the edges of the fisheye effect.

fisheye_fov

Description: The field of view for the fisheye effect.
Value Type: Float
Usage: Adjust to change the scope of the fisheye distortion.

fisheye_border_color

Description: The color used for the border of the fisheye effect.
Value Type: Tuple (R, G, B)
Usage: Set the color for the borders created by the fisheye distortion.

Frame and Matte Filter

Description

The Frame and Matte filter adds a customizable frame and matte to the image, creating a classic picture framing effect.

Properties

frame_width

Description: The width of the frame surrounding the image.
Value Type: Integer
Usage: Increase to make the frame wider.

matte_width

Description: The width of the matte inside the frame.
Value Type: Integer
Usage: Increase to make the matte wider.

frame_color

Description: The color of the frame.
Value Type: Tuple (R, G, B)
Usage: Set the color for the frame.

matte_color

Description: The color of the matte.
Value Type: Tuple (R, G, B)
Usage: Set the color for the matte.

Frosted Glass Filter

Description

The Frosted Glass filter adds a frosted effect to the image, simulating the appearance of looking through frosted glass.

Properties

frost_intensity

Description: The amount of distortion applied to the image.
Value Type: Integer
Usage: Increase for more intense frost effect.

frost_blur_radius

Description: The smoothness of the frost effect.
Value Type: Float
Usage: Larger values create a softer frost.

frost_random_seed

Description: The seed for randomizing the frost effect.
Value Type: Integer
Usage: Change to get a different frost pattern.

frost_tint_color

Description: The tint color applied to the frost effect.
Value Type: Tuple (R, G, B)
Usage: Set the color to tint the frosted effect.

frost_opacity

Description: The opacity of the frost effect.
Value Type: Float
Usage: Increase to make the frost more opaque.

frost_apply_to_alpha

Description: Whether to apply the frost effect to the alpha channel.
Value Type: Boolean
Usage: Set to True to apply the frost effect to the alpha channel.

Gaussian Blur Filter

Description

The Gaussian Blur filter softens the image using a Gaussian blur, which is useful for reducing noise or creating a soft focus effect.

Properties

gaussian_blur_radius

Description: The radius of the blur.
Value Type: Integer
Usage: Increase for a stronger blur.

gaussian_blur_sigma_x

Description: The standard deviation of the blur in the X direction.
Value Type: Float
Usage: Adjust to control the blur’s spread horizontally.

gaussian_blur_sigma_y

Description: The standard deviation of the blur in the Y direction.
Value Type: Float
Usage: Adjust to control the blur’s spread vertically.

gaussian_blur_apply_to_alpha

Description: Whether to apply the blur to the alpha channel.
Value Type: Boolean
Usage: Set to True to blur the alpha channel.

gaussian_blur_edge_behavior

Description: How the edges are handled during the blur.
Value Type: String (options: "Reflect", "Constant")
Usage: Choose the edge handling method.

gaussian_blur_blend_mode

Description: The blending mode used to control the blur intensity.
Value Type: Float
Usage: Increase to blend more of the blur into the image.

Gaussian Splatter Filter

Description

The Gaussian Splatter filter applies random splatters of Gaussian blur across the image, creating a chaotic, painterly effect.

Properties

splatter_count

Description: The number of splatters applied to the image.
Value Type: Integer
Usage: Increase to add more splatters.

splatter_min_radius

Description: The minimum radius of each splatter.
Value Type: Integer
Usage: Set the smallest size for splatters.

splatter_max_radius

Description: The maximum radius of each splatter.
Value Type: Integer
Usage: Set the largest size for splatters.

splatter_min_blur_strength

Description: The minimum blur strength for each splatter.
Value Type: Integer
Usage: Set the weakest blur for splatters.

splatter_max_blur_strength

Description: The maximum blur strength for each splatter.
Value Type: Integer
Usage: Set the strongest blur for splatters.

splatter_colorize

Description: Whether to colorize the splatters.
Value Type: Boolean
Usage: Set to True to add color to the splatters.

splatter_color_tint

Description: The color tint applied to the splatters.
Value Type: Tuple (R, G, B)
Usage: Set the color tint for the splatters.

splatter_random_seed

Description: The seed for randomizing splatter positions and sizes.
Value Type: Integer
Usage: Change to get different splatter patterns.

splatter_randomness

Description: The randomness mode for splatters.
Value Type: String (options: "Consistent", "Dynamic")
Usage: Set to Consistent for predictable results, Dynamic for variability.

Glass Distortion Filter

Description

The Glass Distortion filter applies a distortion effect to the image, simulating the appearance of looking through a distorted glass surface.

Properties

glass_distortion_intensity

Description: The intensity of the distortion effect.
Value Type: Float
Usage: Increase to make the distortion effect more pronounced.

glass_distortion_frequency

Description: The frequency of the distortion pattern.
Value Type: Integer
Usage: Adjust to control the spacing of distortion waves.

glass_offset_x

Description: The horizontal offset applied to the distortion.
Value Type: Float
Usage: Adjust to shift the distortion horizontally.

glass_offset_y

Description: The vertical offset applied to the distortion.
Value Type: Float
Usage: Adjust to shift the distortion vertically.

glass_blend_original

Description: The blending ratio of the distorted image with the original.
Value Type: Float
Usage: Increase to blend more of the original image into the result.

glass_distortion_shape

Description: The shape of the distortion pattern.
Value Type: String (options: "Sine", "Cosine", "Random")
Usage: Choose the shape that best suits the desired effect.

glass_concurrency

Description: The number of threads used for processing the distortion.
Value Type: Integer
Usage: Increase to improve processing speed by using more threads.

Glitch Art Filter

Description

The Glitch Art filter applies a glitchy, digital distortion to the image, often used for artistic effects or to simulate digital corruption.

Properties

glitch_channel_shift_intensity

Description: The intensity of the color channel shifts.
Value Type: Integer
Usage: Increase to create more pronounced channel displacements.

glitch_number_of_shifts

Description: The number of times the channels are shifted.
Value Type: Integer
Usage: Increase to apply more shifts for a more chaotic effect.

glitch_channel_selection

Description: The color channels affected by the glitch.
Value Type: String (options: "Red", "Green", "Blue", "All")
Usage: Choose which channels to apply the glitch effect to.

glitch_noise_intensity

Description: The intensity of random noise added to the image.
Value Type: Integer
Usage: Increase to add more noise.

glitch_frequency

Description: The frequency of the glitch effect.
Value Type: Integer
Usage: Adjust to control how often the glitch occurs.

glitch_color_inversion

Description: Whether to invert the colors in the image before applying the glitch.
Value Type: Boolean
Usage: Set to True to invert the colors.

glitch_random_seed

Description: The seed used for randomization.
Value Type: Integer
Usage: Set to achieve consistent random results.

Heatmap Filter

Description

The Heatmap filter transforms an image into a heatmap, using color gradients to represent intensity.

Properties

heatmap_colormap_type

Description: The type of colormap applied to the image.
Value Type: String
Usage: Choose a colormap that best represents the desired intensity gradient.

heatmap_intensity

Description: The intensity of the heatmap effect.
Value Type: Float
Usage: Increase to make the heatmap more vivid.

heatmap_contrast

Description: The contrast adjustment before applying the heatmap.
Value Type: Float
Usage: Increase to enhance the contrast in the heatmap.

heatmap_brightness

Description: The brightness adjustment before applying the heatmap.
Value Type: Float
Usage: Increase to brighten the heatmap effect.

heatmap_overlay_strength

Description: The strength of the overlay between the heatmap and the original image.
Value Type: Float
Usage: Increase to make the heatmap more dominant.

heatmap_invert_colors

Description: Whether to invert the colors of the heatmap.
Value Type: Boolean
Usage: Set to True to invert the heatmap colors.

heatmap_smoothing

Description: The amount of smoothing applied to the heatmap.
Value Type: Float
Usage: Increase to smooth the heatmap.

High Pass Filter

Description

The High Pass filter highlights high-frequency details in an image, often used to enhance edges and fine details.

Properties

high_pass_kernel_size

Description: The size of the kernel used for the high-pass filter.
Value Type: Integer
Usage: Increase to apply the filter to a larger area.

high_pass_kernel_strength

Description: The strength of the kernel, affecting how strongly edges are enhanced.
Value Type: Float
Usage: Increase to enhance edges more strongly.

high_pass_contrast

Description: The contrast adjustment after applying the high-pass filter.
Value Type: Float
Usage: Increase to make details more pronounced.

high_pass_brightness

Description: The brightness adjustment after applying the high-pass filter.
Value Type: Float
Usage: Increase to brighten the image after filtering.

high_pass_blend

Description: The blending ratio between the high-pass filtered image and the original.
Value Type: Float
Usage: Increase to blend more of the original image into the result.

high_pass_edge_enhancement

Description: Whether to apply additional edge enhancement.
Value Type: Boolean
Usage: Set to True to enhance edges further.

HSV Filter

Description

The HSV filter manipulates the hue, saturation, and value of an image, providing detailed control over its color properties.

Properties

hsv_hue_shift

Description: The amount to shift the hue.
Value Type: Float
Usage: Adjust to change the overall color tone.

hsv_saturation_scale

Description: The scaling factor for saturation.
Value Type: Float
Usage: Increase to make colors more vivid.

hsv_value_scale

Description: The scaling factor for brightness (value).
Value Type: Float
Usage: Increase to make the image brighter.

hsv_hue_rotation

Description: The rotation applied to the hue.
Value Type: Float
Usage: Adjust to rotate the hue spectrum.

hsv_invert_hue

Description: Whether to invert the hue values.
Value Type: Boolean
Usage: Set to True to invert the hue.

hsv_grayscale

Description: Whether to convert the image to grayscale.
Value Type: Boolean
Usage: Set to True to remove color from the image.

Invert Colors Filter

Description

The Invert Colors filter inverts the colors of the image, creating a photographic negative effect.

Properties

invert_red

Description: Whether to invert the red channel.
Value Type: Boolean
Usage: Set to True to invert the red channel.

invert_green

Description: Whether to invert the green channel.
Value Type: Boolean
Usage: Set to True to invert the green channel.

invert_blue

Description: Whether to invert the blue channel.
Value Type: Boolean
Usage: Set to True to invert the blue channel.

invert_alpha

Description: Whether to invert the alpha (transparency) channel.
Value Type: Boolean
Usage: Set to True to invert the alpha channel.

invert_intensity

Description: The intensity of the inversion effect.
Value Type: Float
Usage: Increase to make the inversion effect stronger.

invert_color_filter

Description: The color filter applied after inversion.
Value Type: Tuple (R, G, B)
Usage: Set the color filter to apply to the inverted image.

invert_blend_original

Description: The blending ratio between the inverted image and the original.
Value Type: Float
Usage: Increase to blend more of the original image into the result.

Laplacian Edge Detection Filter

Description

The Laplacian Edge Detection filter highlights edges in the image, useful for detecting boundaries and contours.

Properties

laplacian_kernel_size

Description: The size of the kernel used for the Laplacian filter.
Value Type: Integer
Usage: Increase to apply the filter to a larger area.

laplacian_scale

Description: The scaling factor applied to the filter.
Value Type: Float
Usage: Increase to make edges more pronounced.

laplacian_delta

Description: The delta value added to the results.
Value Type: Float
Usage: Adjust to control the baseline intensity of the edge detection.

laplacian_conversion_to_grayscale

Description: Whether to convert the image to grayscale before applying the filter.
Value Type: Boolean
Usage: Set to True to apply the filter to a grayscale version of the image.

laplacian_edge_enhancement

Description: Whether to enhance the detected edges.
Value Type: Boolean
Usage: Set to True to enhance edges further.

laplacian_blending_with_original

Description: The blending ratio between the edge-detected image and the original.
Value Type: Float
Usage: Increase to blend more of the original image into the result.

Limit Rows Filter

Description

The Limit Rows filter allows processing only a limited number of rows based on the current image index, useful for batch processing.

Properties

limit_rows

Description: The maximum number of rows to process.
Value Type: Integer
Usage: Set the limit for the number of rows to process.

Median Blur Filter

Description

The Median Blur filter applies a median blur to the image, useful for reducing noise while preserving edges.

Properties

median_blur_radius

Description: The radius of the blur.
Value Type: Integer
Usage: Increase for a stronger blur.

median_preserve_edges

Description: Whether to preserve edges during the blur.
Value Type: Boolean
Usage: Set to True to retain edge details.

median_color_shift

Description: The amount of color shift applied to the blurred image.
Value Type: Tuple (R, G, B)
Usage: Set the color shift to apply.

median_blend

Description: The blending ratio between the blurred image and the original.
Value Type: Float
Usage: Increase to blend more of the original image into the result.

median_randomize_intensity

Description: Whether to randomize the intensity of the blur.
Value Type: Boolean
Usage: Set to True for a variable blur intensity.

median_smoothing

Description: The amount of smoothing applied to the blurred image.
Value Type: Float
Usage: Increase to smooth the image further.

Mosaic Filter

Description

The Mosaic filter pixelates the image by resizing it to a smaller resolution and then scaling it back up, creating a mosaic effect.

Properties

mosaic_block_size

Description: The size of the blocks in the mosaic.
Value Type: Integer
Usage: Increase to make the blocks larger and the mosaic effect more pronounced.

mosaic_interpolation

Description: The interpolation method used when resizing the image.
Value Type: String (e.g., "INTER_NEAREST", "INTER_LINEAR")
Usage: Choose the interpolation method that best suits the desired effect.

mosaic_blend

Description: The blending ratio between the mosaic image and the original.
Value Type: Float
Usage: Increase to blend more of the original image into the result.

mosaic_colorize

Description: Whether to apply a color tint to the mosaic.
Value Type: Boolean
Usage: Set to True to colorize the mosaic.

mosaic_color_tint

Description: The color tint applied to the mosaic.
Value Type: Tuple (R, G, B)
Usage: Set the color tint for the mosaic.

Motion Blur Filter

Description

The Motion Blur filter simulates the effect of motion by blurring the image in a specific direction.

Properties

motion_blur_length

Description: The length of the motion blur.
Value Type: Integer
Usage: Increase to make the motion blur longer.

motion_blur_angle

Description: The angle of the motion blur.
Value Type: Float
Usage: Adjust to change the direction of the blur.

motion_blur_strength

Description: The strength of the motion blur.
Value Type: Float
Usage: Increase to make the blur effect stronger.

motion_blur_blend

Description: The blending ratio between the blurred image and the original.
Value Type: Float
Usage: Increase to blend more of the original image into the result.

motion_blur_directional

Description: Whether to apply directional blur.
Value Type: Boolean
Usage: Set to True to apply blur in a specific direction.

motion_blur_edge_handling

Description: How the edges are handled during the blur.
Value Type: String (options: "Reflect", "Constant")
Usage: Choose the edge handling method.

Motion Detection Filter

Description

The Motion Detection filter detects motion in an image by highlighting areas of change.

Properties

motion_edge_threshold1

Description: The first threshold for the edge detector.
Value Type: Integer
Usage: Increase to detect stronger edges.

motion_edge_threshold2

Description: The second threshold for the edge detector.
Value Type: Integer
Usage: Increase to detect weaker edges.

motion_smoothing

Description: The amount of smoothing applied to the detected edges.
Value Type: Float
Usage: Increase to smooth the edges more.

motion_invert_mask

Description: Whether to invert the mask of the detected edges.
Value Type: Boolean
Usage: Set to True to invert the edge mask.

motion_blend_original

Description: The blending ratio between the motion-detected image and the original.
Value Type: Float
Usage: Increase to blend more of the original image into the result.

motion_highlight_color

Description: The color used to highlight the detected motion.
Value Type: Tuple (R, G, B)
Usage: Set the color for highlighting motion.

motion_mask_blur

Description: The amount of blur applied to the motion mask.
Value Type: Float
Usage: Increase to soften the motion detection edges.

Negative Filter

Description

The Negative filter inverts the colors of the image, creating a photographic negative effect.

Properties

negative_intensity

Description: The intensity of the negative effect.
Value Type: Float
Usage: Increase to make the negative effect stronger.

negative_channel_selection

Description: The color channels affected by the negative effect.
Value Type: String (options: "Red Channel", "Green Channel", "Blue Channel", "All Channels")
Usage: Choose which channels to apply the negative effect to.

negative_blend_with_original

Description: The blending ratio between the negative image and the original.
Value Type: Float
Usage: Increase to blend more of the original image into the result.

negative_invert_grayscale

Description: Whether to convert the image to grayscale before inverting.
Value Type: Boolean
Usage: Set to True to create a grayscale negative.

negative_brightness_adjustment

Description: The brightness adjustment after inverting the colors.
Value Type: Float
Usage: Increase to brighten the image after inversion.

negative_contrast_adjustment

Description: The contrast adjustment after inverting the colors.
Value Type: Float
Usage: Increase to enhance contrast in the negative image.

Number Overlay Filter

Description

The Number Overlay filter overlays a number onto the image, often used for batch processing or indexing.

Properties

box_size

Description: The size of the box around the number.
Value Type: Integer
Usage: Adjust to change the size of the overlay box.

position_x

Description: The X-coordinate for the position of the number.
Value Type: Integer
Usage: Adjust to move the number horizontally.

position_y

Description: The Y-coordinate for the position of the number.
Value Type: Integer
Usage: Adjust to move the number vertically.

font_size

Description: The font size of the number.
Value Type: Integer
Usage: Increase to make the number larger.

box_color

Description: The color of the box around the number.
Value Type: Tuple (R, G, B)
Usage: Set the color of the overlay box.

text_color

Description: The color of the number text.
Value Type: Tuple (R, G, B)
Usage: Set the color of the number.

Object Isolation Filter

Description

The Object Isolation filter isolates detected objects in an image, removing or altering the background.

Properties

isolation_confidence_threshold

Description: The confidence threshold for object detection.
Value Type: Float
Usage: Increase to isolate only highly confident objects.

isolation_background_color

Description: The color applied to the background after isolation.
Value Type: Tuple (R, G, B)
Usage: Set the color of the background after isolation.

isolation_include_partial_objects

Description: Whether to include partial objects in the isolation.
Value Type: Boolean
Usage: Set to True to include objects that are partially within the frame.

isolation_mask_blur

Description: The amount of blur applied to the isolation mask.
Value Type: Float
Usage: Increase to soften the edges of the isolated objects.

isolation_box_expansion

Description: The amount to expand the bounding boxes of detected objects.
Value Type: Float
Usage: Increase to include more of the surrounding area in the isolation.