![]() The pixel_dots node convert the square pixels of an image group into dots. This is handy when adjusting the settings of the image node. The add_stats node simply displays a few basic stats beneath the output of an image node (dimensions, pixels, and pixel size). I also provide a few nodes that alter the output of an image node. When placing a mask you can either keep the image fixed and move the mask feeding into the image node, or keep the mask fixed and move the image beneath it using the image position control. For precise placement, increase the image quality. If you set quality to low you will be able to reposition the mask more quickly this will not affect the output of the mask. Put the image node in Placement mode when adjusting the position of your mask relative to the current scale of the image. Optimizing for PNG will affect contiguous masks (examples 1 - 3), but not discontiguous masks (examples 0, 4 and 5). The image node will always try to output the maximum quality of pixels within a mask when in mask mode, regardless of image quality settings. ![]() You can easily switch between each one by setting the index on the switch from 0 to 5 Connect either a rectangular or circular bound and adjust the angle, line separation, etc. Use the subnetwork to control the number of rings, ring separation, point separation within each ring, etc. I provide six examples of masks for you to play with: There are two kinds of masks: contiguous (a single closed shape), and discontiguous (a list of resampled paths that provide individual positions to sample from the original image). Usually causes a slight change in quality and image dimensions. Optimize for PNG - if checked forces pixel size to an integer value to avoid interference patterns which would occur if the image is exported as a PNG or movie.Placement - shows the image dimmed and the outline of the mask, used to adjust placement of the mask.Mask - return the masked portion of the image at the highest possible quality.Image - return the image at the current settings.Output - one of three possible settings:.Image Position - used to adjust the position of the image on the Nodebox canvas.Image Scale - the size of the displayed image as a percentage of the original image size.The higher the quality, the more sluggish Nodebox becomes Image Quality - seven levels ranging from 1 to 100 kilo-pixels.concentric circles) used to limit the number of pixels Mask (optional) - a closed shape or a list of resampled paths (e.g.File - a local PNG, JPG, BMP, TIFF or perhaps other formats.You can do this by either by downsampling (sampling a subset of pixels from the original image) or by reducing the total area using a mask. The whole point of the image node is to get the best image you can from the fewest Nodebox pixels. I limit the total number of “pixels” to about 100K to avoid accidentally crashing NodeBox. The image node returns a pixel group (a group of colored square rects) based on an image file. a subfolder with a few sample images to get you started.image.py, the python custom code needed by the image node.a nodebox file with the image node and other useful nodes.My image node is free for use without restrictions. ![]() It makes it easy to import images or portions of images as groups of "pixels" (colored rects) which you can then work with as you would any other shapes. My image node does not provide a true image object, but does the next best thing. The ability to incorporate images into the pure vector world of NodeBox is probably the most often requested feature.
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