Are you looking to convert UDT annotations into png masks? Use udt-to-png
autoseg segments images from a list of points and polygons containing classifications. Autoseg was originally created by Severin Ibarluzea for usage with the Universal Data Tool.
- Simple API
- WebWorker background computation
- Deterministic, suitable for mask compression
- Fast. WebAssembly compiled from state of the art C++ implementations of SLIC superpixeling and graph cut
- Fully compliant with the Universal Data Tool and UDT Format
Make sure to format your file in the *.udt.json format.
npm install -g autoseg # This will output a bunch of image pngs for the masks of a udt file autoseg some_file.udt.json -o output-directory autoseg --help # Usage: autoseg path/to/dataset.udt.json -o output-masks-dir # # Options: # --help Show help [boolean] # --version Show version number [boolean] # --use-sample-number Use the number of the sample as the mask filename # (mask0001.png, etc.) # --output-dir, -o Output directory for masks [required]const autoseg = require("autoseg") // OR require("autoseg/node") await autoseg.loadImage({ data: imData, width: 320, height: 249 }) // Points/polygons are in the UDT Shape format // https://github.com/UniversalDataTool/udt-format const maskImageData = await autoseg.getMask([ { regionType: "point", x: 50, y: 50, cls: 0 }, { regionType: "point", x: 150, y: 150, cls: 1 }, ]) // If you have a canvas, you can draw the image of the mask canvasContext.putImageData(maskImageData, 0, 0) // NOTE: nodejs doesn't have builtin support for ImageData, but you // can use the returned data in a similar way, it's an object with // { data: Uint8ClampedArray, width: number, height: number }await autoseg.setConfig({ maxClusters: 1000, classNames: ["dog", "cat"], classColors: [0xffffffff, 0xff000000], })