ComfyUI  >  Nodes  >  Masquerade Nodes >  Mask To Region

ComfyUI Node: Mask To Region

Class Name

Mask To Region

Category
Masquerade Nodes
Author
BadCafeCode (Account age: 485 days)
Extension
Masquerade Nodes
Latest Updated
6/19/2024
Github Stars
0.3K

How to Install Masquerade Nodes

Install this extension via the ComfyUI Manager by searching for  Masquerade Nodes
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter Masquerade Nodes in the search bar
After installation, click the  Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

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Mask To Region Description

Extract specific rectangular regions from mask images with defined constraints and padding for precise region selection in image processing tasks.

Mask To Region:

The Mask To Region node is designed to identify and extract a rectangular region from a given mask image. This node is particularly useful for isolating specific areas within an image that meet certain criteria, such as non-empty regions. By defining constraints and padding, you can control the size and shape of the extracted region, ensuring it fits your requirements. This functionality is essential for tasks that require precise region selection, such as object detection, image segmentation, and other image processing applications. The node simplifies the process of converting complex mask shapes into manageable rectangular regions, making it easier to work with specific parts of an image.

Mask To Region Input Parameters:

mask

The mask parameter is the input image that contains the mask from which you want to extract a rectangular region. This parameter is essential as it defines the area of interest within the image.

padding

The padding parameter allows you to add extra space around the extracted region. It is an integer value with a default of 0, a minimum of 0, and a maximum defined by VERY_BIG_SIZE. Adding padding can help ensure that the region includes some context around the masked area.

constraints

The constraints parameter defines how the aspect ratio and dimensions of the extracted region should be handled. It offers options such as keep_ratio, keep_ratio_divisible, multiple_of, and ignore. These options help maintain the desired proportions or dimensions of the region.

constraint_x

The constraint_x parameter specifies the horizontal constraint for the region's dimensions. It is an integer value with a default of 64, a minimum of 2, and a maximum defined by VERY_BIG_SIZE. This parameter ensures that the width of the region adheres to the specified constraint.

constraint_y

The constraint_y parameter specifies the vertical constraint for the region's dimensions. It is an integer value with a default of 64, a minimum of 2, and a maximum defined by VERY_BIG_SIZE. This parameter ensures that the height of the region adheres to the specified constraint.

min_width

The min_width parameter sets the minimum width for the extracted region. It is an integer value with a default of 0, a minimum of 0, and a maximum defined by VERY_BIG_SIZE. This parameter ensures that the region is not narrower than the specified width.

min_height

The min_height parameter sets the minimum height for the extracted region. It is an integer value with a default of 0, a minimum of 0, and a maximum defined by VERY_BIG_SIZE. This parameter ensures that the region is not shorter than the specified height.

batch_behavior

The batch_behavior parameter defines how the node should handle batch processing. It offers options such as match_ratio and match_size. This parameter ensures consistent behavior when processing multiple images in a batch.

Mask To Region Output Parameters:

IMAGE

The output parameter IMAGE is the extracted rectangular region from the input mask. This output is an image that fits the specified constraints and includes any additional padding. It provides a manageable and precise region that can be used for further image processing tasks.

Mask To Region Usage Tips:

  • To ensure the extracted region includes some context around the masked area, consider setting a non-zero padding value.
  • Use the constraints parameter to maintain the aspect ratio of the region, which can be important for tasks that require proportional dimensions.
  • When working with batch processing, choose the appropriate batch_behavior to ensure consistent results across multiple images.

Mask To Region Common Errors and Solutions:

"Invalid mask input"

  • Explanation: The input mask is not in the correct format or is missing.
  • Solution: Ensure that the input mask is a valid image and is correctly specified.

"Padding value out of range"

  • Explanation: The padding value is outside the allowed range.
  • Solution: Adjust the padding value to be within the range of 0 to VERY_BIG_SIZE.

"Constraint values out of range"

  • Explanation: The constraint_x or constraint_y values are outside the allowed range.
  • Solution: Ensure that the constraint_x and constraint_y values are within the range of 2 to VERY_BIG_SIZE.

"Minimum width or height not met"

  • Explanation: The extracted region does not meet the specified minimum width or height.
  • Solution: Adjust the min_width and min_height parameters to ensure the region meets the minimum size requirements.

Mask To Region Related Nodes

Go back to the extension to check out more related nodes.
Masquerade Nodes
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