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import { colorDiff, intToRGBA, scan } from "@jimp/utils";
import { z } from "zod";
export const CropOptionsSchema = z.object({
/** the x position to crop form */
x: z.number(),
/** the y position to crop form */
y: z.number(),
/** the width to crop form */
w: z.number(),
/** the height to crop form */
h: z.number(),
});
export type CropOptions = z.infer<typeof CropOptionsSchema>;
const AutocropComplexOptionsSchema = z.object({
/** percent of color difference tolerance (default value) */
tolerance: z.number().min(0).max(1).optional(),
/** flag to force cropping only if the image has a real "frame" i.e. all 4 sides have some border (default value) */
cropOnlyFrames: z.boolean().optional(),
/** force cropping top be symmetric */
cropSymmetric: z.boolean().optional(),
/** Amount of pixels in border to leave */
leaveBorder: z.number().optional(),
ignoreSides: z
.object({
north: z.boolean().optional(),
south: z.boolean().optional(),
east: z.boolean().optional(),
west: z.boolean().optional(),
})
.optional(),
});
export type AutocropComplexOptions = z.infer<
typeof AutocropComplexOptionsSchema
>;
export type AutocropOptions = number | AutocropComplexOptions;
export const methods = {
/**
* Crops the image at a given point to a give size.
*
* @example
* ```ts
* import { Jimp } from "jimp";
*
* const image = await Jimp.read("test/image.png");
* const cropped = image.crop(150, 100);
* ```
*/
crop<I extends JimpClass>(image: I, options: CropOptions) {
let { x, y, w, h } = CropOptionsSchema.parse(options);
// round input
x = Math.round(x);
y = Math.round(y);
w = Math.round(w);
h = Math.round(h);
if (x === 0 && w === image.bitmap.width) {
// shortcut
const start = (w * y + x) << 2;
const end = start + ((h * w) << 2);
image.bitmap.data = image.bitmap.data.slice(start, end);
} else {
const bitmap = Buffer.allocUnsafe(w * h * 4);
let offset = 0;
scan(image, x, y, w, h, function (_, __, idx) {
const data = image.bitmap.data.readUInt32BE(idx);
bitmap.writeUInt32BE(data, offset);
offset += 4;
});
image.bitmap.data = bitmap;
}
image.bitmap.width = w;
image.bitmap.height = h;
return image;
},
/**
* Autocrop same color borders from this image.
* This function will attempt to crop out transparent pixels from the image.
*
* @example
* ```ts
* import { Jimp } from "jimp";
*
* const image = await Jimp.read("test/image.png");
* const cropped = image.autocrop();
* ```
*/
autocrop<I extends JimpClass>(image: I, options: AutocropOptions = {}) {
const {
tolerance = 0.0002,
cropOnlyFrames = true,
cropSymmetric = false,
leaveBorder = 0,
ignoreSides: ignoreSidesArg,
} = typeof options === "number"
? ({ tolerance: options } as AutocropComplexOptions)
: AutocropComplexOptionsSchema.parse(options);
const w = image.bitmap.width;
const h = image.bitmap.height;
const minPixelsPerSide = 1; // to avoid cropping completely the image, resulting in an invalid 0 sized image
// i.e. north and south / east and west are cropped by the same value
const ignoreSides = {
north: false,
south: false,
east: false,
west: false,
...ignoreSidesArg,
};
/**
* All borders must be of the same color as the top left pixel, to be cropped.
* It should be possible to crop borders each with a different color,
* but since there are many ways for corners to intersect, it would
* introduce unnecessary complexity to the algorithm.
*/
// scan each side for same color borders
let colorTarget = image.getPixelColor(0, 0); // top left pixel color is the target color
const rgba1 = intToRGBA(colorTarget);
// for north and east sides
let northPixelsToCrop = 0;
let eastPixelsToCrop = 0;
let southPixelsToCrop = 0;
let westPixelsToCrop = 0;
// north side (scan rows from north to south)
colorTarget = image.getPixelColor(0, 0);
if (!ignoreSides.north) {
north: for (let y = 0; y < h - minPixelsPerSide; y++) {
for (let x = 0; x < w; x++) {
const colorXY = image.getPixelColor(x, y);
const rgba2 = intToRGBA(colorXY);
if (colorDiff(rgba1, rgba2) > tolerance) {
// this pixel is too distant from the first one: abort this side scan
break north;
}
}
// this row contains all pixels with the same color: increment this side pixels to crop
northPixelsToCrop++;
}
}
// west side (scan columns from west to east)
colorTarget = image.getPixelColor(w, 0);
if (!ignoreSides.west) {
west: for (let x = 0; x < w - minPixelsPerSide; x++) {
for (let y = 0 + northPixelsToCrop; y < h; y++) {
const colorXY = image.getPixelColor(x, y);
const rgba2 = intToRGBA(colorXY);
if (colorDiff(rgba1, rgba2) > tolerance) {
// this pixel is too distant from the first one: abort this side scan
break west;
}
}
// this column contains all pixels with the same color: increment this side pixels to crop
westPixelsToCrop++;
}
}
// south side (scan rows from south to north)
colorTarget = image.getPixelColor(0, h);
if (!ignoreSides.south) {
south: for (
let y = h - 1;
y >= northPixelsToCrop + minPixelsPerSide;
y--
) {
for (let x = w - eastPixelsToCrop - 1; x >= 0; x--) {
const colorXY = image.getPixelColor(x, y);
const rgba2 = intToRGBA(colorXY);
if (colorDiff(rgba1, rgba2) > tolerance) {
// this pixel is too distant from the first one: abort this side scan
break south;
}
}
// this row contains all pixels with the same color: increment this side pixels to crop
southPixelsToCrop++;
}
}
// east side (scan columns from east to west)
colorTarget = image.getPixelColor(w, h);
if (!ignoreSides.east) {
east: for (
let x = w - 1;
x >= 0 + westPixelsToCrop + minPixelsPerSide;
x--
) {
for (let y = h - 1; y >= 0 + northPixelsToCrop; y--) {
const colorXY = image.getPixelColor(x, y);
const rgba2 = intToRGBA(colorXY);
if (colorDiff(rgba1, rgba2) > tolerance) {
// this pixel is too distant from the first one: abort this side scan
break east;
}
}
// this column contains all pixels with the same color: increment this side pixels to crop
eastPixelsToCrop++;
}
}
// decide if a crop is needed
let doCrop = false;
// apply leaveBorder
westPixelsToCrop -= leaveBorder;
eastPixelsToCrop -= leaveBorder;
northPixelsToCrop -= leaveBorder;
southPixelsToCrop -= leaveBorder;
if (cropSymmetric) {
const horizontal = Math.min(eastPixelsToCrop, westPixelsToCrop);
const vertical = Math.min(northPixelsToCrop, southPixelsToCrop);
westPixelsToCrop = horizontal;
eastPixelsToCrop = horizontal;
northPixelsToCrop = vertical;
southPixelsToCrop = vertical;
}
// make sure that crops are >= 0
westPixelsToCrop = westPixelsToCrop >= 0 ? westPixelsToCrop : 0;
eastPixelsToCrop = eastPixelsToCrop >= 0 ? eastPixelsToCrop : 0;
northPixelsToCrop = northPixelsToCrop >= 0 ? northPixelsToCrop : 0;
southPixelsToCrop = southPixelsToCrop >= 0 ? southPixelsToCrop : 0;
// safety checks
const widthOfRemainingPixels = w - (westPixelsToCrop + eastPixelsToCrop);
const heightOfRemainingPixels = h - (southPixelsToCrop + northPixelsToCrop);
if (cropOnlyFrames) {
// crop image if all sides should be cropped
doCrop =
eastPixelsToCrop !== 0 &&
northPixelsToCrop !== 0 &&
westPixelsToCrop !== 0 &&
southPixelsToCrop !== 0;
} else {
// crop image if at least one side should be cropped
doCrop =
eastPixelsToCrop !== 0 ||
northPixelsToCrop !== 0 ||
westPixelsToCrop !== 0 ||
southPixelsToCrop !== 0;
}
if (doCrop) {
// do the real crop
this.crop(image, {
x: westPixelsToCrop,
y: northPixelsToCrop,
w: widthOfRemainingPixels,
h: heightOfRemainingPixels,
});
}
return image;
},
};
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