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Macide Celik 2019-10-28 23:50:24 +03:00 • committed by GitHub
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src/core/operations/CropImage.mjs
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/**
* @author j433866 [j433866@gmail.com]
* @copyright Crown Copyright 2019
* @license Apache-2.0
*/
import Operation from "../Operation.mjs";
import OperationError from "../errors/OperationError.mjs";
import { isImage } from "../lib/FileType.mjs";
import { toBase64 } from "../lib/Base64.mjs";
import { isWorkerEnvironment } from "../Utils.mjs";
import jimp from "jimp";
/**
* Crop Image operation
*/
class CropImage extends Operation {
/**
* CropImage constructor
*/
constructor() {
super();
this.name = "Crop Image";
this.module = "Image";
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.";
this.infoURL = "https://wikipedia.org/wiki/Cropping_(image)";
this.inputType = "ArrayBuffer";
this.outputType = "ArrayBuffer";
this.presentType = "html";
this.args = [
{
name: "X Position",
type: "number",
value: 0,
min: 0
},
{
name: "Y Position",
type: "number",
value: 0,
min: 0
},
{
name: "Width",
type: "number",
value: 10,
min: 1
},
{
name: "Height",
type: "number",
value: 10,
min: 1
},
{
name: "Autocrop",
type: "boolean",
value: false
},
{
name: "Autocrop tolerance (%)",
type: "number",
value: 0.02,
min: 0,
max: 100,
step: 0.01
},
{
name: "Only autocrop frames",
type: "boolean",
value: true
},
{
name: "Symmetric autocrop",
type: "boolean",
value: false
},
{
name: "Autocrop keep border (px)",
type: "number",
value: 0,
min: 0
}
];
}
/**
* @param {ArrayBuffer} input
* @param {Object[]} args
* @returns {byteArray}
*/
async run(input, args) {
const [xPos, yPos, width, height, autocrop, autoTolerance, autoFrames, autoSymmetric, autoBorder] = args;
if (!isImage(input)) {
throw new OperationError("Invalid file type.");
}
let image;
try {
image = await jimp.read(input);
} catch (err) {
throw new OperationError(`Error loading image. (${err})`);
}
try {
if (isWorkerEnvironment())
self.sendStatusMessage("Cropping image...");
if (autocrop) {
image.autocrop({
tolerance: (autoTolerance / 100),
cropOnlyFrames: autoFrames,
cropSymmetric: autoSymmetric,
leaveBorder: autoBorder
});
} else {
image.crop(xPos, yPos, width, height);
}
let imageBuffer;
if (image.getMIME() === "image/gif") {
imageBuffer = await image.getBufferAsync(jimp.MIME_PNG);
} else {
imageBuffer = await image.getBufferAsync(jimp.AUTO);
}
return imageBuffer.buffer;
} catch (err) {
throw new OperationError(`Error cropping image. (${err})`);
}
}
/**
* Displays the cropped image using HTML for web apps
* @param {ArrayBuffer} data
* @returns {html}
*/
present(data) {
if (!data.byteLength) return "";
const dataArray = new Uint8Array(data);
const type = isImage(dataArray);
if (!type) {
throw new OperationError("Invalid file type.");
}
return `<img src="data:${type};base64,${toBase64(dataArray)}">`;
}
}
export default CropImage;