ComfyUI Node: DepthViewer

DepthViewer:

The DepthViewer node is designed to help you visualize depth information alongside reference images, making it easier to understand and interpret depth maps in the context of the original images. This node processes pairs of reference images and their corresponding depth maps, converting them into a format that can be easily viewed and analyzed. By saving these visualizations, DepthViewer allows you to compare and contrast the depth information with the original images, providing valuable insights for tasks such as 3D reconstruction, scene understanding, and more. This node is particularly useful for AI artists and developers working with depth data, as it simplifies the process of visualizing and saving depth maps in a user-friendly manner.

DepthViewer Input Parameters:

reference_image

The reference_image parameter expects an image that serves as the original or reference image. This image is used to provide context for the depth map, allowing you to see how the depth information corresponds to the actual visual content. The reference image should be in a format that can be processed by the node, typically as a tensor. This parameter is crucial for ensuring that the depth map is accurately interpreted in relation to the original scene.

depth_map

The depth_map parameter expects an image that represents the depth information of the corresponding reference image. The depth map provides a visual representation of the distance of objects in the scene from the camera, with different shades indicating varying depths. This parameter is essential for visualizing the depth information and understanding the spatial relationships within the scene. Like the reference image, the depth map should be in a format that can be processed by the node, typically as a tensor.

DepthViewer Output Parameters:

ui

The ui output parameter provides a dictionary containing the saved reference images and depth maps. This dictionary includes metadata such as filenames, subfolders, and types, which can be used to access and manage the saved visualizations. The ui output is important for retrieving the processed images and depth maps, allowing you to view and analyze the results of the DepthViewer node's processing.

DepthViewer Usage Tips:

• Ensure that both the reference image and depth map are correctly formatted as tensors before inputting them into the node to avoid processing errors.
• Use the saved visualizations to compare the depth information with the original images, which can help in tasks such as 3D reconstruction and scene understanding.
• Organize your output directory structure to easily manage and access the saved reference images and depth maps.

DepthViewer Common Errors and Solutions:

"Invalid image format"

• Explanation: This error occurs when the input images are not in the expected tensor format.
• Solution: Ensure that both the reference image and depth map are correctly formatted as tensors before inputting them into the node.

"Failed to save image"

• Explanation: This error occurs when there is an issue with saving the processed images to the specified directory.
• Solution: Check the output directory path and ensure that you have the necessary write permissions. Verify that the directory exists and is accessible.

"Mismatched image dimensions"

• Explanation: This error occurs when the dimensions of the reference image and depth map do not match.
• Solution: Ensure that the reference image and depth map have the same dimensions before inputting them into the node.