ComfyUI Node: Remap Depth

Remap Depth:

The RemapDepth node is designed to adjust the depth values of an image, providing a flexible way to remap the depth range to a new specified range. This node is particularly useful in scenarios where you need to normalize or scale depth values for further processing or visualization. By allowing you to specify minimum and maximum depth values, the node ensures that the depth data fits within the desired range, which can be crucial for maintaining consistency across different depth maps. Additionally, the node offers an option to clamp the remapped values, ensuring they stay within a specified range, thus preventing any outliers or extreme values that could affect subsequent processing steps.

Remap Depth Input Parameters:

image

The image parameter expects an image input that contains depth information. This image should be in a format that supports depth values, typically a tensor. The depth values in this image will be remapped according to the specified min and max parameters.

min

The min parameter sets the minimum value for the remapped depth range. This value determines the new minimum depth value after remapping. The default value is 0.0, with a range from -10.0 to 1.0, and it can be adjusted in steps of 0.01. Setting this value appropriately ensures that the lower end of your depth data is scaled correctly.

max

The max parameter sets the maximum value for the remapped depth range. This value determines the new maximum depth value after remapping. The default value is 1.0, with a range from 0.0 to 10.0, and it can be adjusted in steps of 0.01. Adjusting this value ensures that the upper end of your depth data is scaled correctly.

clamp

The clamp parameter is a boolean option that, when set to True, ensures that the remapped depth values are clamped within the range of 0.0 to 1.0. This prevents any values from exceeding the specified range, which can be useful for maintaining consistency and avoiding extreme values that could affect further processing. The default value is True.

Remap Depth Output Parameters:

image

The output image parameter provides the remapped depth image. This image will have its depth values adjusted according to the specified min and max parameters, and optionally clamped within the range of 0.0 to 1.0 if the clamp parameter is set to True. This output is ready for further processing or visualization.

Remap Depth Usage Tips:

• To normalize depth values to a standard range, set min to 0.0 and max to 1.0, and enable clamp to ensure all values stay within this range.
• If you need to highlight a specific depth range, adjust the min and max parameters to focus on that range, which can help in visualizing or processing specific depth features.
• Use the clamp parameter to prevent any outliers or extreme values from affecting your depth data, especially when working with noisy depth maps.

Remap Depth Common Errors and Solutions:

"Invalid image format"

• Explanation: The input image is not in a supported format or does not contain depth information.
• Solution: Ensure that the input image is a tensor containing depth values and is in a format that the node can process.

"Depth values out of range"

• Explanation: The remapped depth values exceed the expected range, possibly due to incorrect min or max settings.
• Solution: Verify and adjust the min and max parameters to ensure they are set correctly for the desired depth range. Enable the clamp parameter to restrict values within the range of 0.0 to 1.0.

"Clamping failed"

• Explanation: The clamping operation did not succeed, possibly due to incompatible data types or values.
• Solution: Ensure that the input image is converted to a compatible data type (e.g., torch.float32) before processing. Check the clamp parameter and ensure it is set to True if clamping is required.