mirror of
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151 lines
4.6 KiB
JavaScript
151 lines
4.6 KiB
JavaScript
/**
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* @author j433866 [j433866@gmail.com]
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* @copyright Crown Copyright 2019
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* @license Apache-2.0
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*/
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import Operation from "../Operation.mjs";
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import OperationError from "../errors/OperationError.mjs";
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import { isImage } from "../lib/FileType.mjs";
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import { toBase64 } from "../lib/Base64.mjs";
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import { isWorkerEnvironment } from "../Utils.mjs";
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import jimp from "jimp";
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/**
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* Crop Image operation
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*/
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class CropImage extends Operation {
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/**
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* CropImage constructor
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*/
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constructor() {
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super();
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this.name = "Crop Image";
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this.module = "Image";
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this.description = "Crops an image to the specified region, or automatically crops edges.<br><br><b><u>Autocrop</u></b><br>Automatically crops same-colour borders from the image.<br><br><u>Autocrop tolerance</u><br>A percentage value for the tolerance of colour difference between pixels.<br><br><u>Only autocrop frames</u><br>Only crop real frames (all sides must have the same border)<br><br><u>Symmetric autocrop</u><br>Force autocrop to be symmetric (top/bottom and left/right are cropped by the same amount)<br><br><u>Autocrop keep border</u><br>The number of pixels of border to leave around the image.";
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this.infoURL = "https://wikipedia.org/wiki/Cropping_(image)";
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this.inputType = "ArrayBuffer";
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this.outputType = "ArrayBuffer";
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this.presentType = "html";
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this.args = [
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{
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name: "X Position",
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type: "number",
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value: 0,
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min: 0
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},
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{
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name: "Y Position",
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type: "number",
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value: 0,
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min: 0
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},
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{
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name: "Width",
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type: "number",
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value: 10,
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min: 1
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},
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{
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name: "Height",
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type: "number",
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value: 10,
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min: 1
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},
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{
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name: "Autocrop",
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type: "boolean",
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value: false
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},
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{
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name: "Autocrop tolerance (%)",
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type: "number",
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value: 0.02,
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min: 0,
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max: 100,
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step: 0.01
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},
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{
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name: "Only autocrop frames",
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type: "boolean",
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value: true
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},
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{
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name: "Symmetric autocrop",
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type: "boolean",
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value: false
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},
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{
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name: "Autocrop keep border (px)",
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type: "number",
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value: 0,
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min: 0
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}
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];
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}
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/**
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* @param {ArrayBuffer} input
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* @param {Object[]} args
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* @returns {byteArray}
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*/
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async run(input, args) {
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const [xPos, yPos, width, height, autocrop, autoTolerance, autoFrames, autoSymmetric, autoBorder] = args;
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if (!isImage(input)) {
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throw new OperationError("Invalid file type.");
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}
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let image;
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try {
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image = await jimp.read(input);
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} catch (err) {
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throw new OperationError(`Error loading image. (${err})`);
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}
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try {
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if (isWorkerEnvironment())
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self.sendStatusMessage("Cropping image...");
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if (autocrop) {
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image.autocrop({
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tolerance: (autoTolerance / 100),
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cropOnlyFrames: autoFrames,
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cropSymmetric: autoSymmetric,
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leaveBorder: autoBorder
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});
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} else {
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image.crop(xPos, yPos, width, height);
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}
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let imageBuffer;
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if (image.getMIME() === "image/gif") {
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imageBuffer = await image.getBufferAsync(jimp.MIME_PNG);
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} else {
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imageBuffer = await image.getBufferAsync(jimp.AUTO);
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}
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return imageBuffer.buffer;
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} catch (err) {
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throw new OperationError(`Error cropping image. (${err})`);
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}
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}
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/**
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* Displays the cropped image using HTML for web apps
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* @param {ArrayBuffer} data
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* @returns {html}
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*/
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present(data) {
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if (!data.byteLength) return "";
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const dataArray = new Uint8Array(data);
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const type = isImage(dataArray);
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if (!type) {
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throw new OperationError("Invalid file type.");
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}
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return `<img src="data:${type};base64,${toBase64(dataArray)}">`;
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}
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}
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export default CropImage;
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