ComfyUI Node: Get Mask Count 🎥🅥🅗🅢

Get Mask Count 🎥🅥🅗🅢:

The VHS_GetMaskCount node is designed to help you determine the number of masks present in a given tensor. This node is particularly useful when working with video processing or image manipulation tasks where masks are used to isolate or highlight specific regions. By providing a straightforward way to count the masks, this node simplifies the process of managing and manipulating multiple masks, ensuring that you can efficiently handle large datasets or complex projects. The primary goal of this node is to streamline your workflow by offering a quick and accurate count of the masks, allowing you to focus on the creative aspects of your work.

Get Mask Count 🎥🅥🅗🅢 Input Parameters:

mask

The mask parameter expects a tensor of type MASK. This input represents the collection of masks that you want to count. The node will analyze this tensor to determine the total number of individual masks it contains. There are no specific minimum, maximum, or default values for this parameter, as it directly depends on the masks you provide.

Get Mask Count 🎥🅥🅗🅢 Output Parameters:

count

The count output parameter is of type INT. This output provides the total number of masks found in the input tensor. It is a straightforward integer value that represents the count of individual masks, making it easy for you to understand and utilize in subsequent steps of your workflow.

Get Mask Count 🎥🅥🅗🅢 Usage Tips:

• Ensure that the input tensor provided to the mask parameter is correctly formatted and contains the masks you intend to count.
• Use this node in conjunction with other mask manipulation nodes to efficiently manage and process large sets of masks in your projects.

Get Mask Count 🎥🅥🅗🅢 Common Errors and Solutions:

Invalid mask tensor

• Explanation: The input provided to the mask parameter is not a valid tensor of type MASK.
• Solution: Verify that the input tensor is correctly formatted and of the appropriate type before passing it to the node.

Empty mask tensor

• Explanation: The input tensor does not contain any masks.
• Solution: Ensure that the input tensor includes at least one mask. If the tensor is empty, check the previous steps in your workflow to confirm that masks are being generated or loaded correctly.