59 lines
1.4 KiB
TypeScript
59 lines
1.4 KiB
TypeScript
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import Jimp from "jimp";
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import path from "path";
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import { setupOpenCv, translateException } from "./cv";
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beforeAll(setupOpenCv);
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describe("Mat", () => {
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it("shoud pass TS type validations", async () => {
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try {
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// load local image file with jimp. It supports jpg, png, bmp, tiff and gif:
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const jimpSrc = await Jimp.read(path.resolve(__dirname, "Lenna.png"));
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// `jimpImage.bitmap` property has the decoded ImageData that we can use to create a cv:Mat
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const img = cv.matFromImageData(jimpSrc.bitmap);
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expect(img.channels()).toEqual(4);
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const imgGray = new cv.Mat();
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cv.cvtColor(img, imgGray, cv.COLOR_RGBA2GRAY);
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expect(imgGray.channels()).toEqual(1);
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const imgBlur = new cv.Mat();
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cv.GaussianBlur(
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imgGray,
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imgBlur,
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new cv.Size(5, 5),
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0,
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0,
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cv.BORDER_DEFAULT,
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);
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const imgThresh = new cv.Mat();
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cv.threshold(
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imgBlur,
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imgThresh,
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0,
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255,
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cv.THRESH_BINARY + cv.THRESH_OTSU,
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);
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const contours = new cv.MatVector();
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const hierarchy = new cv.Mat();
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cv.findContours(
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imgThresh,
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contours,
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hierarchy,
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cv.RETR_CCOMP,
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cv.CHAIN_APPROX_SIMPLE,
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);
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const channels = new cv.MatVector();
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cv.split(img, channels);
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cv.merge(channels, img);
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} catch (err) {
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throw translateException(err);
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}
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});
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});
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