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They allow you to selectively hide or reveal parts of a layer without permanently erasing anything. By painting on the mask with black, white, or shades of gray, you can control the visibility of specific areas, enabling seamless blending and localized adjustments. Smart Objects Smart Objects are...
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For a solution, leverage Cloudinary’s thumbnail-generation mode, which intelligently analyzes the image content and focuses on the region of interest. Setting the crop mode tothumbandgravitytoauto(c_thumb,g_auto) produces the thumbnails below, effectively conveying the theme of each of the...
feature: image sizes can now be multiples of 8 instead of 64. Inputs will be silently rounded down. feature: cleaned upaimgshell logs feature: auto-regen for unsafe images fix: make blip filename windows compatible fix: make captioning work with alpha pngs ...
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Pre-training was performed using masked auto-encoder modeling36, followed by fully supervised training on the SAM dataset7. The input image (1024 × 1024 × 3) was reshaped into a sequence of flattened 2D patches with the size 16 × 16 × 3, yielding a feature size in...
Each <image-set-option> defines a possible image for the image-set() function to represent, composed of three parts: An image reference (required). This can be a URL, or a CSS generated image, such as a linear-gradient(). A <resolution> (optional). This is used to help the UA dec...
UseRemove disconnected segmentsin order to delete parts of the graph that are not connected to the main network either through noise or consequence of filtering. Subgraph objects with a size less than the entered value are deleted. It is highly recommended to remove all disconnected elements, so...
See full syntax: c_auto in the Transformation Reference. Try it out: Content-aware cropping in the Transformation Center. Example 1: Automatically crop to the most interesting part of the image (width and height) Create a 300 x 350 crop of an image, automatically deciding which parts of the...