1/14/2024 0 Comments Image resize mode![]() Return peaks in a circle Hough transform. They are useful for tasks such a creating image mosaics,Īpplying artistic effects, and visualizing image data.ĭown-sample N-dimensional image by local averaging.Įstimate 2D geometric transformation parameters.Ĭompute the 2-dimensional finite radon transform (FRT) for an n x n integer array. These transforms change the appearance of an image without changing itsĬontent. They are useful for tasks such as objectĭetection, image segmentation, and feature matching. These transforms identify and extract specific features or Reduce its size or up-sampling an image to increase its resolution. They are useful for tasks such as down-sampling an image to These transforms change the size or resolution of an image. They are useful for tasks such as image registration, These transforms change the shape or position of an image. This helps avoid borders if the image is later inpainted.This module includes tools to transform images and volumetric data. If the image is padded, this setting causes mask transparency to partially expand into the original image for the given number of pixels. ![]() The value 0.3 means that 30% of the padding are inserted on the left/top side and 70% on the right/top side. The value 1.0 means that all padding is inserted on the left/top side. The value 0.0 means that all padding is inserted on the right/bottom side. If the image is padded, this setting determines where the padding is being inserted. The value 0.3 means that 30% are being cropped on the left/top side and 70% on the right/top side. The value 1.0 means that only left/top side is cropped. The value 0.0 means that only the right/bottom side is cropped. If the image is cropped, this setting determines which side is cropped. You then set smaller_side setting to 512 and the resulting image will always be 512x768 pixels large. In case you want to resize the image to an explicit size, you can also set this size here, e.g. If the action setting enables cropping or padding of the image, this setting determines the required side ratio of the image. The any mode causes the image to be always resized, regardless of whether downscaling or upscaling is required. In the increase size only mode, images already larger than the target size will not be resized. In the reduce size only mode, images already smaller than the target size will not be resized. If neither setting is set, the image is not resized but merely cropped/padded as necessary. Values below 1.0 will reduce image size, above 1.0 increase it. with the action being resize only and the original image being 512x768 pixels large, larger_side set to 1024 will resize the image to 683x1024 pixels.įinally, scale_factor can be set as an explicit scaling factor. With larger_side set, the target size is determined by the larger side of the image. with the action being resize only and the original image being 512x768 pixels large, smaller_side set to 1024 will resize the image to 1024x1536 pixels. With smaller_side set, the target size is determined by the smaller side of the image. Only one of these settings can be enabled (set to a non-zero value). These settings determine the image’s target size. In the pad to ratio mode, transparent padding will be added to the image after resizing as necessary to make its side ratio match side_ratio setting. In the crop to ratio mode, parts of the image will be removed after resizing as necessary to make its side ratio match side_ratio setting. In the resize only mode, the image will only be resized while keeping its side ratio. To install, clone this repository into ComfyUI/custom_nodes folder with git clone and restart ComfyUI. If a mask is present, it is resized and modified along with the image. The goal is resizing without distorting proportions, yet without having to perform any calculations with the size of the original image. This custom node provides various tools for resizing images.
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