本文整理汇总了TypeScript中test.getTestImage函数的典型用法代码示例。如果您正苦于以下问题：TypeScript getTestImage函数的具体用法？TypeScript getTestImage怎么用？TypeScript getTestImage使用的例子？那么, 这里精选的函数代码示例或许可以为您提供帮助。
在下文中一共展示了getTestImage函数的8个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的TypeScript代码示例。
示例1: test
test('write image to disk', async () => {
const img = getTestImage();
const destination = join(tmpDir, 'image.png');
await write(destination, img);
expect(existsSync(destination)).toBe(true);
const imgRead = await read(destination);
expect(imgRead).toStrictEqual(img);
});示例2: it
it('compare result of translation with opencv', () => {
const img = getTestImage();
const translation = [[1, 0, 2], [0, 1, 4]];
const transformed = transform(img, translation, {
width: 16,
height: 20
});
const expected = readSync('test/img/testTranslation.png');
expect(transformed.data).toStrictEqual(expected.data);
});示例3: test
test('rotate + scale compared to opencv (nearest)', () => {
const expected = readSync('test/img/testRotate.png');
const img = getTestImage();
const rotated = rotate(img, 30, {
scale: 0.8,
borderType: BorderType.REFLECT,
interpolationType: InterpolationType.NEAREST,
center: [2, 4]
});
expect(rotated.data).toStrictEqual(expected.data);
});示例4: it
it('blur compared to opencv', async () => {
const img = getTestImage();
const blurred = blur(img, {
width: 3,
height: 5,
borderType: BorderType.REFLECT
});
const expected = await read('test/img/testBlur.png');
expect(blurred.data).toStrictEqual(expected.data);
});示例5: it
it('direct convolution compared to opencv', async () => {
const img = getTestImage();
const kernelY = Matrix.columnVector([0.4, 0.5, 0.6, -0.3, -0.4]);
const kernelX = Matrix.rowVector([0.1, 0.2, 0.3]);
const kernel = kernelY.mmul(kernelX).to2DArray();
const convoluted = directConvolution(img, kernel, {
borderType: BorderType.REFLECT
});
const expected = await read('test/img/testConv.png');
expect(convoluted.data).toStrictEqual(expected.data);
});示例6: async
it.skip('gaussian blur should have same result as opencv', async () => {
const img = getTestImage();
const options = {
borderType: BorderType.REFLECT,
size: 3,
sigmaX: 1,
sigmaY: 1
};
const blurred = gaussianBlur(img, options);
// const grey = convertColor(img, ImageKind.GREY);
// const greyBlurred = gaussianBlur(grey, options);
// console.log(greyBlurred.data);
const expected = await read('test/img/testGaussianBlur.png');
// write('gaussian.png', blurred);
expect(expected.data).toStrictEqual(blurred.data);
});示例7: test
test('test image to GREY', () => {
const testImage = getTestImage();
const grey = testImage.convertColor(ImageKind.GREY);
const expected = getImage(
[
[255, 255, 255, 255, 255, 255, 255, 255],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 76, 76, 255, 255, 179, 179, 0],
[0, 76, 76, 255, 255, 179, 179, 0],
[0, 150, 150, 0, 0, 105, 105, 0],
[0, 150, 150, 0, 0, 105, 105, 0],
[0, 29, 29, 128, 128, 226, 226, 0],
[0, 29, 29, 128, 128, 226, 226, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[255, 255, 255, 255, 255, 255, 255, 255]
],
ImageKind.GREY
);
expect(grey.data).toStrictEqual(expected.data);
});示例8: test
test('automatic threshold with OTSU', () => {
const testImage = getTestImage();
const grey = testImage.convertColor(ImageKind.GREY);
const th = threshold(grey, { algorithm: ThresholdAlgorithm.OTSU });
const expected = getImage(
[
[255, 255, 255, 255, 255, 255, 255, 255],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 255, 255, 255, 255, 0],
[0, 0, 0, 255, 255, 255, 255, 0],
[0, 255, 255, 0, 0, 0, 0, 0],
[0, 255, 255, 0, 0, 0, 0, 0],
[0, 0, 0, 255, 255, 255, 255, 0],
[0, 0, 0, 255, 255, 255, 255, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[255, 255, 255, 255, 255, 255, 255, 255]
],
ImageKind.GREY
);
expect(th.data).toStrictEqual(expected.data);
});