emoji-net/dist/src/canvas-utils.spec.js

EmojiNet is an image to emoji recognizer based on MobileNet / Google Emoji Scavenger Hunt

#!/usr/bin/env ts-node
"use strict";
var __importDefault = (this && this.__importDefault) || function (mod) {
    return (mod && mod.__esModule) ? mod : { "default": mod };
};
Object.defineProperty(exports, "__esModule", { value: true });
const path_1 = __importDefault(require("path"));
const tstest_1 = require("tstest");
const image_data_3x3_1 = require("../tests/fixtures/image-data-3x3");
const canvas_utils_1 = require("./canvas-utils");
tstest_1.test('resizeImage()', async (t) => {
    const UINT8_CLAMPED_ARRAY = new Uint8ClampedArray([
        0, 0, 0, 255,
        0, 0, 0, 255,
        100, 100, 100, 255,
        100, 100, 100, 255,
    ]);
    const EXPECTED_DATA = new Uint8ClampedArray([
        50, 50, 50, 255,
    ]);
    const imageData = canvas_utils_1.createImageData(UINT8_CLAMPED_ARRAY, 2, 2);
    const resizedData = await canvas_utils_1.resizeImage(imageData, 1, 1);
    t.same(resizedData.data, EXPECTED_DATA, 'should get resized data');
});
tstest_1.test.skip('imageMd5()', async (t) => {
    const IMAGE_FILE = path_1.default.join(__dirname, '..', 'tests', 'fixtures', 'aligned-face.png');
    const EXPECTED_MD5 = '26f0d74e9599b7dec3fe10e8f12b063e';
    const image = await canvas_utils_1.loadImage(IMAGE_FILE);
    const md5Text = canvas_utils_1.imageMd5(image);
    // console.info(md5Text)
    t.equal(md5Text, EXPECTED_MD5, 'should calc md5 right');
});
tstest_1.test('cropImage()', async (t) => {
    const imageData = image_data_3x3_1.fixtureImageData3x3();
    /**
     * 1 2 3
     * 4 5 6
     * 7 8 9
     */
    const EXPECTED_DATA_CROP_0_0_1_1 = [
        1, 1, 1, 255,
    ];
    const EXPECTED_DATA_CROP_1_1_1_1 = [
        5, 5, 5, 255,
    ];
    const EXPECTED_DATA_CROP_0_0_3_2 = [
        1, 1, 1, 255,
        2, 2, 2, 255,
        3, 3, 3, 255,
        4, 4, 4, 255,
        5, 5, 5, 255,
        6, 6, 6, 255,
    ];
    void t.test('should get right for rect[0, 0, 1, 1]', async (t) => {
        const croppedImage = canvas_utils_1.cropImage(imageData, 0, 0, 1, 1);
        t.same(croppedImage.data, EXPECTED_DATA_CROP_0_0_1_1, 'should get cropped image data right for [0 0 1 1]');
    });
    void t.test('should get right for rect[1, 1, 1, 1]', async (t) => {
        const croppedImage = canvas_utils_1.cropImage(imageData, 1, 1, 1, 1);
        t.same(croppedImage.data, EXPECTED_DATA_CROP_1_1_1_1, 'should get cropped image data right for [1 1 1 1]');
    });
    void t.test('should get right for rect[0, 0, 3, 2]', async (t) => {
        const croppedImage = canvas_utils_1.cropImage(imageData, 0, 0, 3, 2);
        t.same(croppedImage.data, EXPECTED_DATA_CROP_0_0_3_2, 'should get cropped image data right for [0 0 3 2]');
    });
});
tstest_1.test('Image/Data convert', async (t) => {
    const IMAGE_DATA = image_data_3x3_1.fixtureImageData3x3();
    // tslint:disable-next-line:max-line-length
    const IMAGE = await canvas_utils_1.loadImage('data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAMAAAADCAYAAABWKLW/AAAABmJLR0QA/wD/AP+gvaeTAAAAHElEQVQImWNkZGT8z8jIyMDIyMjAwszMzICVAwAmtQEw+Y/4igAAAABJRU5ErkJggg==');
    void t.test('dataToImage()', async (t) => {
        const canvas = canvas_utils_1.createCanvas(3, 3);
        const ctx = canvas.getContext('2d');
        const image = await canvas_utils_1.dataToImage(IMAGE_DATA);
        if (!ctx) {
            throw new Error('no ctx');
        }
        ctx.drawImage(image, 0, 0);
        const data = ctx.getImageData(0, 0, 3, 3);
        t.same(data, IMAGE_DATA, 'should conver data to image right');
    });
    void t.test('imageToData', async (t) => {
        const data = canvas_utils_1.imageToData(IMAGE);
        t.same(data, IMAGE_DATA, 'should conver image to data right');
    });
});
tstest_1.test('Data Convertions', async (t) => {
    const IMAGE_DATA = image_data_3x3_1.fixtureImageData3x3();
    const EXPECTED_DATA_URL = 'data:image/png;base64,'
        + 'iVBORw0KGgoAAAANSUhEUgAAAAMAAAADCAYAAABWKLW/AAAABmJLR0QA/wD/AP+gvaeTAA'
        + 'AAHElEQVQImWNkZGT8z8jIyMDIyMjAwszMzICVAwAmtQEw+Y/4igAAAABJRU5ErkJggg==';
    const EXPECTED_BUFFER = Buffer.from(EXPECTED_DATA_URL.split(',')[1], 'base64');
    void t.test('toDataURL()', async (t) => {
        const dataURL = await canvas_utils_1.toDataURL(IMAGE_DATA);
        t.equal(dataURL, EXPECTED_DATA_URL, 'should convert image data to data url right');
    });
    void t.test('toBuffer()', async (t) => {
        const buffer = canvas_utils_1.toBuffer(IMAGE_DATA);
        t.ok(buffer.equals(EXPECTED_BUFFER), 'should convert image data to buffer right');
    });
});
//# sourceMappingURL=canvas-utils.spec.js.map