multiple-image-loader.js

import * as THREE from "three";

import { loadImage } from "./single-image-loader.js";
import { create, all } from "mathjs";

const math = create(all, {});

//Read Images file
function read_image_list(filePath) {
    return new Promise((resolve) => {
        const loader = new THREE.FileLoader();
        loader.load(filePath, (data) => {
            resolve(data.split("\n"));
        });
    });
}

async function loadImages(scene, images_file, cameras_file) {
    const image_list = await read_image_list(images_file);
    const min_focal = 2500;

    //CAMERAS LOADER
    const image_loader = new THREE.TextureLoader();
    const out_file_loader = new THREE.FileLoader();
    out_file_loader.load(cameras_file, function (data) {
        const lines = data.split("\n");
        const num_cameras = lines[1].split(" ")[0]; // TODO

        for (let i = 0; i < num_cameras; i++) {
            const line_number = 2 + 5 * i;

            //Descarta les imatges lsp
            if (image_list[i].endsWith(".lsp")) continue;

            const focalLength = lines[line_number].split(" ").map(parseFloat)[0];
            const zoom = math.sqrt(focalLength / min_focal);
            //zoom *= 2; // TODO testing

            const R = math.matrix([
                lines[line_number + 1].split(" ").map(parseFloat),
                lines[line_number + 2].split(" ").map(parseFloat),
                lines[line_number + 3].split(" ").map(parseFloat),
            ]);
            const t = math.matrix(lines[line_number + 4].split(" ").map(parseFloat));

            //if (!image_list[i].includes("0098")) continue; // TODO

            loadImage(scene, R, t, zoom, image_list[i], image_loader, num_cameras);
        }
    });
}

export { loadImages };