ComfyUI Node: 🔧 Image Seam Carving

🔧 Image Seam Carving+:

ImageSeamCarving+ is a powerful node designed to intelligently resize images by removing or inserting seams, which are paths of least importance. This technique, known as seam carving, allows you to change the dimensions of an image while preserving its most important content. The node can be particularly useful for tasks such as content-aware resizing, object removal, and aspect ratio adjustments. By analyzing the energy of the image, it ensures that the most significant parts of the image remain intact, providing a more visually appealing result compared to traditional resizing methods.

🔧 Image Seam Carving+ Input Parameters:

image

This parameter represents the input image that you want to resize using seam carving. The image should be provided in a tensor format, typically with dimensions corresponding to batch size, height, width, and channels.

width

This parameter specifies the target width for the resized image. It determines how many columns will be added or removed from the original image. The value should be an integer representing the desired width in pixels.

height

This parameter specifies the target height for the resized image. It determines how many rows will be added or removed from the original image. The value should be an integer representing the desired height in pixels.

energy

This parameter defines the energy mode used to calculate the importance of each pixel in the image. The energy mode can be set to "backward" or "forward". The "backward" mode uses a simple gradient-based energy function, while the "forward" mode considers the cost of inserting or removing seams, providing a more accurate result.

order

This parameter determines the order in which seams are removed or inserted. It can be set to "width-first" or "height-first". The "width-first" option processes the image by adjusting its width first, while the "height-first" option adjusts the height first.

keep_mask

This optional parameter allows you to specify a mask that indicates regions of the image that should be preserved during the seam carving process. The mask should be provided in a tensor format, with the same height and width as the input image. Areas marked in the mask will have higher priority and will be less likely to be altered.

drop_mask

This optional parameter allows you to specify a mask that indicates regions of the image that should be removed during the seam carving process. The mask should be provided in a tensor format, with the same height and width as the input image. Areas marked in the mask will have lower priority and will be more likely to be altered.

🔧 Image Seam Carving+ Output Parameters:

out

This parameter represents the output image after the seam carving process. The output image will have the specified target width and height, with the most important content preserved. The output is provided in a tensor format, typically with dimensions corresponding to batch size, height, width, and channels.

🔧 Image Seam Carving+ Usage Tips:

• To achieve the best results, use the "forward" energy mode for more accurate seam carving, especially when dealing with complex images.
• When resizing images with important content that should not be altered, use the keep_mask parameter to protect those areas.
• For removing unwanted objects from an image, use the drop_mask parameter to mark the regions that should be removed.

🔧 Image Seam Carving+ Common Errors and Solutions:

Invalid operation <operation> for morphology. Must be one of 'erode', 'dilate', 'open', 'close', 'gradient', 'tophat', 'bottomhat'

• Explanation: This error occurs when an invalid operation is specified for the morphology process.
• Solution: Ensure that the operation parameter is set to one of the valid options: "erode", "dilate", "open", "close", "gradient", "tophat", or "bottomhat".

Mismatched dimensions between image and mask

• Explanation: This error occurs when the dimensions of the keep_mask or drop_mask do not match the dimensions of the input image.
• Solution: Ensure that the keep_mask and drop_mask have the same height and width as the input image. Use interpolation if necessary to adjust the mask dimensions.

Invalid energy mode <energy_mode>

• Explanation: This error occurs when an invalid energy mode is specified.
• Solution: Ensure that the energy parameter is set to either "backward" or "forward".

Invalid order <order>

• Explanation: This error occurs when an invalid order is specified.
• Solution: Ensure that the order parameter is set to either "width-first" or "height-first".