ComfyUI > Nodes > ComfyUI-Depth-Pro > Metric Depth to Inverse

ComfyUI Node: Metric Depth to Inverse

Class Name

MetricDepthToInverse

Category
Depth-Pro
Author
spacepxl (Account age: 452days)
Extension
ComfyUI-Depth-Pro
Latest Updated
2024-10-23
Github Stars
0.14K

How to Install ComfyUI-Depth-Pro

Install this extension via the ComfyUI Manager by searching for ComfyUI-Depth-Pro
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI-Depth-Pro 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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Metric Depth to Inverse Description

Transform metric depth images into inverse depth representations for enhanced depth perception in computer vision and AI art applications.

Metric Depth to Inverse:

The MetricDepthToInverse node is designed to transform metric depth images into their inverse depth representations. This conversion is particularly useful in various computer vision and AI art applications where inverse depth maps are preferred for their ability to emphasize closer objects more prominently than distant ones. By converting metric depth to inverse depth, this node allows for enhanced depth perception and visualization, which can be beneficial in tasks such as 3D reconstruction, augmented reality, and depth-based artistic effects. The node operates by applying a mathematical transformation to the input depth data, ensuring that the resulting inverse depth map is ready for further processing or visualization.

Metric Depth to Inverse Input Parameters:

depth

The depth parameter is the sole input for the MetricDepthToInverse node and it expects an image that represents the metric depth map. This input is crucial as it provides the raw depth data that will be transformed into an inverse depth map. The metric depth map typically contains values that represent the distance from the camera to the objects in the scene. The node processes this input to generate an inverse depth map, which can then be used for various applications. There are no specific minimum, maximum, or default values for this parameter, as it is dependent on the depth data provided by the user.

Metric Depth to Inverse Output Parameters:

depth

The output parameter depth is an image that represents the inverse depth map derived from the input metric depth map. This output is significant as it provides a transformed view of the scene where closer objects are highlighted more than distant ones, which can be advantageous for depth-based analysis and visualization. The inverse depth map is particularly useful in scenarios where depth perception needs to be enhanced or when working with algorithms that require inverse depth data. The output is ready for further processing or direct use in applications that benefit from inverse depth representation.

Metric Depth to Inverse Usage Tips:

  • Ensure that the input depth map is correctly formatted and represents accurate metric depth data to achieve the best results from the inverse transformation.
  • Use the inverse depth map output for applications that require enhanced depth perception, such as 3D modeling or augmented reality, to take full advantage of the node's capabilities.

Metric Depth to Inverse Common Errors and Solutions:

"Invalid depth input"

  • Explanation: This error occurs when the input provided is not a valid depth image or is improperly formatted.
  • Solution: Verify that the input image is a valid metric depth map and ensure it is correctly formatted before passing it to the node.

"Division by zero in depth conversion"

  • Explanation: This error might happen if the depth map contains zero values, leading to division by zero during the inverse conversion.
  • Solution: Pre-process the depth map to ensure there are no zero values, or use a small epsilon value to avoid division by zero errors.

Metric Depth to Inverse Related Nodes

Go back to the extension to check out more related nodes.
ComfyUI-Depth-Pro
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