ComfyUI Node: LayerUtility: Check Mask

LayerUtility: Check Mask:

The LayerUtility: CheckMask node is designed to validate the effectiveness of a mask in image processing tasks. This node evaluates whether a given mask meets specific criteria based on the amount of white area it contains. If the mask's white area is below a certain threshold, it is deemed invalid. This functionality is particularly useful in scenarios where masks are used to isolate or highlight parts of an image, ensuring that only sufficiently significant masks are considered valid. By automating the validation process, this node helps streamline workflows and maintain consistency in image processing tasks.

LayerUtility: Check Mask Input Parameters:

mask

The mask parameter represents the input mask image that needs to be validated. This mask is typically a binary or grayscale image where certain areas are highlighted to indicate regions of interest. The node processes this mask to determine its validity based on the specified criteria.

white_point

The white_point parameter is an integer value used to define the threshold for what is considered a "white" area in the mask. Any pixel value higher than this threshold is counted as part of the white area. The default value is 1, with a minimum of 1 and a maximum of 254. Adjusting this value allows you to fine-tune the sensitivity of the mask validation process.

area_percent

The area_percent parameter is an integer that specifies the minimum percentage of the mask that must be white for it to be considered valid. If the white area of the mask is below this percentage, the mask is deemed invalid. The default value is 1%, with a minimum of 1% and a maximum of 99%. This parameter helps ensure that only masks with a significant white area are accepted.

LayerUtility: Check Mask Output Parameters:

bool

The bool output parameter is a boolean value that indicates the validity of the mask. If the mask's white area exceeds the specified area_percent, this parameter returns True, indicating a valid mask. Otherwise, it returns False, indicating an invalid mask. This output helps you quickly determine whether a mask meets the required criteria.

LayerUtility: Check Mask Usage Tips:

• To ensure accurate mask validation, adjust the white_point parameter based on the brightness levels of your mask images. Higher values may be necessary for masks with lighter shades of gray.
• Use the area_percent parameter to set a realistic threshold for mask validity based on the specific requirements of your project. For instance, if you need masks to cover at least half of the image, set this parameter to 50%.

LayerUtility: Check Mask Common Errors and Solutions:

Mask dimension mismatch

• Explanation: The input mask does not have the expected dimensions, which can cause processing errors.
• Solution: Ensure that the mask is a 2D or 3D tensor with appropriate dimensions. If necessary, adjust the mask dimensions before inputting it into the node.

Invalid white_point value

• Explanation: The white_point parameter is set outside the allowable range (1-254).
• Solution: Adjust the white_point value to be within the valid range. Ensure it is an integer between 1 and 254.

Invalid area_percent value

• Explanation: The area_percent parameter is set outside the allowable range (1-99).
• Solution: Adjust the area_percent value to be within the valid range. Ensure it is an integer between 1 and 99.