ComfyUI Node: DrawInstanceDiffusionTracking

DrawInstanceDiffusionTracking:

The DrawInstanceDiffusionTracking node is designed to visualize tracking data generated by the CreateInstanceDiffusionTracking node. This node overlays tracking information, such as bounding boxes and class labels, onto an image, making it easier to see and understand the tracked instances within the image. This visualization is particularly useful for AI artists who need to verify and fine-tune the tracking data used in their diffusion models. By providing a clear visual representation of the tracked instances, this node helps ensure that the tracking data aligns correctly with the image content, facilitating more accurate and effective diffusion processes.

DrawInstanceDiffusionTracking Input Parameters:

image

This parameter accepts an image input on which the tracking data will be drawn. The image serves as the canvas for visualizing the tracking information.

tracking

This parameter takes the tracking data generated by the CreateInstanceDiffusionTracking node. The tracking data includes information about the instances to be visualized, such as their bounding boxes and class labels. This parameter is required and must be provided for the node to function.

box_line_width

This integer parameter specifies the width of the lines used to draw the bounding boxes around the tracked instances. The default value is 2, with a minimum value of 1 and a maximum value of 10. Adjusting this parameter can help make the bounding boxes more or less prominent, depending on the needs of the visualization.

draw_text

This boolean parameter determines whether to draw the class names and IDs as text above the bounding boxes. The default value is True. Enabling this option helps in identifying the tracked instances by their class names and IDs directly on the image.

font

This parameter allows you to select the font used for drawing the class names and IDs. The available fonts are listed in the kjnodes_fonts directory. Choosing an appropriate font can enhance the readability of the text annotations.

font_size

This integer parameter sets the size of the font used for the text annotations. The default value is 20. Adjusting the font size can help ensure that the text is legible and appropriately scaled relative to the image and bounding boxes.

DrawInstanceDiffusionTracking Output Parameters:

image

The output is an image with the tracking data visualized on it. This image includes the bounding boxes and, if enabled, the class names and IDs of the tracked instances. The visualized image helps in verifying the accuracy and alignment of the tracking data with the image content.

DrawInstanceDiffusionTracking Usage Tips:

• Ensure that the tracking data provided to the node is accurate and corresponds correctly to the instances in the image to achieve meaningful visualizations.
• Adjust the box_line_width and font_size parameters to improve the visibility and readability of the bounding boxes and text annotations, especially when working with images of different resolutions.
• Use a clear and legible font from the kjnodes_fonts directory to enhance the readability of the class names and IDs.

DrawInstanceDiffusionTracking Common Errors and Solutions:

Unexpected data type for bbox: <type>

• Explanation: This error occurs when the bounding box data is not in the expected list or tuple format.
• Solution: Ensure that the tracking data contains bounding boxes in the correct format, typically as lists or tuples of coordinates.

Missing required input: tracking

• Explanation: This error indicates that the required tracking data input is not provided.
• Solution: Provide the necessary tracking data generated by the CreateInstanceDiffusionTracking node to the tracking input parameter.

Font not found in kjnodes_fonts

• Explanation: This error occurs when the specified font is not available in the kjnodes_fonts directory.
• Solution: Ensure that the font name is correctly specified and that the font file is present in the kjnodes_fonts directory.