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Adding a Seam Carving algorithm with Dynamic Programming implementation. (trekhleb#693)
* Adding a Seam Carving algorithm with Dynamic Programming implementation. * Adding a Seam Carving algorithm with Dynamic Programming implementation. * Adding a Seam Carving algorithm with Dynamic Programming implementation. * Testing Husky integration. * Testing Husky integration.
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‎.husky/.gitignore

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_

‎.husky/pre-commit

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#!/bin/sh
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. "$(dirname "$0")/_/husky.sh"
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# npm run lint
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# npm run test

‎.huskyrc.json

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‎README.md

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* `B` [NanoNeuron](https://github.com/trekhleb/nano-neuron) - 7 simple JS functions that illustrate how machines can actually learn (forward/backward propagation)
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* `B` [k-NN](src/algorithms/ml/knn) - k-nearest neighbors classification algorithm
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* `B` [k-Means](src/algorithms/ml/k-means) - k-Means clustering algorithm
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* **Image Processing**
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* `B` [Seam Carving](src/algorithms/image-processing/seam-carving) - content-aware image resizing algorithm
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* **Uncategorized**
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* `B` [Tower of Hanoi](src/algorithms/uncategorized/hanoi-tower)
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* `B` [Square Matrix Rotation](src/algorithms/uncategorized/square-matrix-rotation) - in-place algorithm
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* `B` [Unique Paths](src/algorithms/uncategorized/unique-paths)
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* `B` [Rain Terraces](src/algorithms/uncategorized/rain-terraces) - trapping rain water problem
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* `B` [Recursive Staircase](src/algorithms/uncategorized/recursive-staircase) - count the number of ways to reach to the top
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* `B` [Seam Carving](src/algorithms/image-processing/seam-carving) - content-aware image resizing algorithm
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* `A` [Levenshtein Distance](src/algorithms/string/levenshtein-distance) - minimum edit distance between two sequences
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* `A` [Longest Common Subsequence](src/algorithms/sets/longest-common-subsequence) (LCS)
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* `A` [Longest Common Substring](src/algorithms/string/longest-common-substring)

‎package-lock.json

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‎package.json

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"lint": "eslint ./src/**",
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"test": "jest",
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"coverage": "npm run test -- --coverage",
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"ci": "npm run lint && npm run coverage"
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"ci": "npm run lint && npm run coverage",
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"prepare": "husky install"
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},
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"repository": {
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"type": "git",
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"@babel/cli": "7.12.10",
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"@babel/preset-env": "7.12.11",
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"@types/jest": "26.0.19",
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"canvas": "^2.7.0",
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"eslint": "7.16.0",
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"eslint-config-airbnb": "18.2.1",
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"eslint-plugin-import": "2.22.1",
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"eslint-plugin-jest": "24.1.3",
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"eslint-plugin-jsx-a11y": "6.4.1",
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"eslint-plugin-react": "7.21.5",
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"husky": "4.3.6",
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"husky": "6.0.0",
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"jest": "26.6.3"
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},
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"dependencies": {}

‎src/algorithms/image-processing/seam-carving/README.md

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‎src/algorithms/image-processing/seam-carving/README.ru-RU.md

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‎src/algorithms/image-processing/seam-carving/__tests__/resizeImageWidth.test.js

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import { createCanvas, loadImage } from 'canvas';
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import resizeImageWidth from '../resizeImageWidth';
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const testImageBeforePath = './src/algorithms/image-processing/seam-carving/__tests__/test-image-before.jpg';
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const testImageAfterPath = './src/algorithms/image-processing/seam-carving/__tests__/test-image-after.jpg';
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describe('resizeImageWidth', () => {
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it('should perform content-aware image width reduction', () => {
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// @see: https://jestjs.io/docs/asynchronous
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return Promise.all([
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loadImage(testImageBeforePath),
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loadImage(testImageAfterPath),
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]).then(([imgBefore, imgAfter]) => {
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// Original image.
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const canvasBefore = createCanvas(imgBefore.width, imgBefore.height);
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const ctxBefore = canvasBefore.getContext('2d');
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ctxBefore.drawImage(imgBefore, 0, 0, imgBefore.width, imgBefore.height);
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const imgDataBefore = ctxBefore.getImageData(0, 0, imgBefore.width, imgBefore.height);
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// Resized image saved.
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const canvasAfter = createCanvas(imgAfter.width, imgAfter.height);
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const ctxAfter = canvasAfter.getContext('2d');
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ctxAfter.drawImage(imgAfter, 0, 0, imgAfter.width, imgAfter.height);
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const toWidth = Math.floor(imgBefore.width / 2);
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const {
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img: resizedImg,
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size: resizedSize,
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} = resizeImageWidth({ img: imgDataBefore, toWidth });
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expect(resizedImg).toBeDefined();
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expect(resizedSize).toBeDefined();
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// Resized image generated.
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const canvasTest = createCanvas(resizedSize.w, resizedSize.h);
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const ctxTest = canvasTest.getContext('2d');
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ctxTest.putImageData(resizedImg, 0, 0, 0, 0, resizedSize.w, resizedSize.h);
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const imgDataTest = ctxTest.getImageData(0, 0, resizedSize.w, resizedSize.h);
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expect(resizedSize).toEqual({ w: toWidth, h: imgBefore.height });
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expect(imgDataTest.width).toBe(toWidth);
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expect(imgDataTest.height).toBe(imgBefore.height);
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expect(imgDataTest.width).toBe(imgAfter.width);
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expect(imgDataTest.height).toBe(imgAfter.height);
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// @TODO: Check that images are identical.
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// expect(canvasTest.toDataURL()).toEqual(canvasAfter.toDataURL());
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});
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});
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});

‎src/algorithms/image-processing/seam-carving/__tests__/test-image-after.jpg

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