diff --git a/Dockerfile b/Dockerfile index 2abee482..2ce7b616 100644 --- a/Dockerfile +++ b/Dockerfile @@ -81,8 +81,9 @@ RUN apk add --no-cache \ # # vips required to run sharp library for image comparison +# opencv required for other image processing RUN echo "http://dl-4.alpinelinux.org/alpine/v3.14/community" >> /etc/apk/repositories \ - && apk --no-cache add vips + && apk --no-cache add vips opencv opencv-dev RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone @@ -115,6 +116,15 @@ RUN npm install --production \ && rm -rf node_modules/ts-node \ && rm -rf node_modules/typescript +# build bindings for opencv +RUN apk add --no-cache --virtual .build-deps \ + make \ + g++ \ + gcc \ + libgcc \ + && npm run cv-install-docker-prebuild \ + && apk del .build-deps + ENV NPM_CONFIG_LOGLEVEL debug # can set database to use more performant better-sqlite3 since we control everything diff --git a/docs/operator/installation.md b/docs/operator/installation.md index 7b325976..d6b888a2 100644 --- a/docs/operator/installation.md +++ b/docs/operator/installation.md @@ -60,6 +60,65 @@ An example of running CM using the [minimum configuration](/docs/operator/config node src/index.js run ``` +### Dependencies + +Note: All below dependencies are automatically included in the [Docker](#docker-recommended) image. + +#### Sharp + +For basic [Image Comparisons](/docs/imageComparison.md) and image data CM uses [sharp](https://sharp.pixelplumbing.com/) which depends on [libvips](https://www.libvips.org/) + +Binaries for Sharp and libvips ship with the `sharp` npm package for all major operating systems and should require no additional steps to use -- installing CM with the above script should be sufficient. + +See more about Sharp dependencies in the [image comparison prerequisites.](/docs/imageComparison.md#prerequisites) + + +#### OpenCV + +For advanced image comparison CM uses [OpenCV.](https://opencv.org/) OpenCV is an **optional** dependency that is only utilized if CM is configured to run these advanced image operations so if you are NOT doing any image-related operations you can safely ignore this section/dependency. + +**NOTE:** Depending on the image being compared (resolution) and operations being performed this can be a **CPU heavy resource.** TODO: Add rules that are cpu heavy... + +##### Installation + +Installation is not an automatic process. The below instructions are a summary of "easy" paths for installation but are not exhaustive. DO reference the detailed instructions (including additional details for windows installs) at [opencv4nodejs How to Install](https://github.com/UrielCh/opencv4nodejs#how-to-install). + +###### Build From Source + +This may take **some time** since openCV will be built from scratch. + +On windows you must first install build tools: `npm install --global windows-build-tools` + +Otherwise, run one of the following commands from the CM project directory: + +* For CUDA (Nvidia GPU acceleration): `npm run cv-autoinstall-cuda` +* Normal: `npm run cv-autoinstall` + +###### Build from Prebuilt + +In this use-case you already have openCV built OR are using a distro prebuilt package. This method is much faster than building from source as only bindings need to be built. + +[More information on prebuild installation](https://github.com/UrielCh/opencv4nodejs#installing-opencv-manually) + +Prerequisites: + +* Windows `choco install OpenCV -y -version 4.1.0` +* MacOS `brew install opencv@4; brew link --force opencv@4` +* Linux -- varies, check your package manager for `opencv` and `opencv-dev` + +A script for building on **Ubuntu** is already included in CM: + +* `sudo apt install opencv-dev` +* `npm run cv-install-ubuntu-prebuild` + +Otherwise, you will need to modify `scripts` in CM's `package.json`, use the script `cv-install-ubuntu-prebuild` as an example. Your command must include: + +* `--incDir [path/to/opencv/dev-files]` (on linux, usually `/usr/include/opencv4/`) +* `--libDir [path/to/opencv/shared-files]` (on linux usually `/lib/x86_64-linux-gnu/` or `/usr/lib/`) +* `--binDir=[path/to/openv/binaries]` (on linux usually `/usr/bin/`) + +After you have modified/added a script for your operating system run it with `npm run yourScriptName` + ## [Heroku Quick Deploy](https://heroku.com/about) **NOTE:** This is still experimental and requires more testing. diff --git a/package-lock.json b/package-lock.json index f14e7cc9..ec6a2ebc 100644 --- a/package-lock.json +++ b/package-lock.json @@ -22,6 +22,7 @@ "@nlpjs/language": "^4.22.7", "@nlpjs/nlp": "^4.23.5", "@stdlib/regexp-regexp": "^0.0.6", + "@u4/opencv4nodejs": "^6.2.1", "ajv": "^7.2.4", "ansi-regex": ">=5.0.1", "async": "^3.2.0", @@ -143,6 +144,7 @@ "better-sqlite3": "^7.5.0", "mongo": "^3.6.0", "mysql": "^2.18.1", + "opencv-build": "^0.1.9", "pg": "^8.7.1", "sharp": "^0.29.1" } @@ 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"sha512-o57Wcn66jMQvfHG1FlYbWeZWW/dHZhJXjpIcTfXldXEk5nz5lStPo3mK0OJQfGR3RbZUlbISexbljkJzuEj/8Q==", + "requires": { + "minipass": "^3.1.1" + } + }, "stack-trace": { "version": "0.0.10", "resolved": "https://registry.npmjs.org/stack-trace/-/stack-trace-0.0.10.tgz", @@ -17089,7 +18896,6 @@ "version": "1.0.2", "resolved": "https://registry.npmjs.org/string-width/-/string-width-1.0.2.tgz", "integrity": "sha1-EYvfW4zcUaKn5w0hHgfisLmxB9M=", - "optional": true, "requires": { "code-point-at": "^1.0.0", "is-fullwidth-code-point": "^1.0.0", @@ -17122,7 +18928,6 @@ "version": "3.0.1", "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-3.0.1.tgz", "integrity": "sha1-ajhfuIU9lS1f8F0Oiq+UJ43GPc8=", - "optional": true, "requires": { "ansi-regex": "^2.0.0" }, @@ -17130,8 +18935,7 @@ "ansi-regex": { "version": "2.1.1", "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-2.1.1.tgz", - "integrity": 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"https://registry.npmjs.org/mkdirp/-/mkdirp-1.0.4.tgz", + "integrity": "sha512-vVqVZQyf3WLx2Shd0qJ9xuvqgAyKPLAiqITEtqW0oIUjzo3PePDd6fW9iFz30ef7Ysp/oiWqbhszeGWW2T6Gzw==" + } + } + }, "tar-fs": { "version": "2.1.1", "resolved": "https://registry.npmjs.org/tar-fs/-/tar-fs-2.1.1.tgz", @@ -17846,11 +19675,27 @@ "resolved": "https://registry.npmjs.org/unicode/-/unicode-14.0.0.tgz", "integrity": "sha512-BjinxTXkbm9Jomp/YBTMGusr4fxIG67fNGShHIRAL16Ur2GJTq2xvLi+sxuiJmInCmwqqev2BCFKyvbfp/yAkg==" }, + "unique-filename": { + "version": "2.0.0", + "resolved": "https://registry.npmjs.org/unique-filename/-/unique-filename-2.0.0.tgz", + "integrity": "sha512-tpzoz2RpZ//6Zt4GPpOFTyrnfZuSvjIfe8lvx6Thp4yTQwJtAFwPlssEBE62VhGA2We5/COyNpcIu+OABu3/Yg==", + "requires": { + "unique-slug": "^2.0.2" + } + }, "unique-names-generator": { "version": "4.7.1", "resolved": "https://registry.npmjs.org/unique-names-generator/-/unique-names-generator-4.7.1.tgz", "integrity": "sha512-lMx9dX+KRmG8sq6gulYYpKWZc9RlGsgBR6aoO8Qsm3qvkSJ+3rAymr+TnV8EDMrIrwuFJ4kruzMWM/OpYzPoow==" }, + "unique-slug": { + "version": "2.0.2", + "resolved": "https://registry.npmjs.org/unique-slug/-/unique-slug-2.0.2.tgz", + "integrity": "sha512-zoWr9ObaxALD3DOPfjPSqxt4fnZiWblxHIgeWqW8x7UqDzEtHEQLzji2cuJYQFCU6KmoJikOYAZlrTHHebjx2w==", + "requires": { + "imurmurhash": "^0.1.4" + } + }, "universalify": { "version": "0.1.2", "resolved": "https://registry.npmjs.org/universalify/-/universalify-0.1.2.tgz", @@ -18034,7 +19879,6 @@ "version": "1.1.5", "resolved": "https://registry.npmjs.org/wide-align/-/wide-align-1.1.5.tgz", "integrity": "sha512-eDMORYaPNZ4sQIuuYPDHdQvf4gyCF9rEEV/yPxGfwPkRodwEgiMUUXTx/dex+Me0wxx53S+NgUHaP7y3MGlDmg==", - "optional": true, "requires": { "string-width": "^1.0.2 || 2 || 3 || 4" } diff --git a/package.json b/package.json index 19ad6f93..78ae5708 100644 --- a/package.json +++ b/package.json @@ -21,7 +21,11 @@ "circular-graph": "madge --image graph.svg --circular --extensions ts src/index.ts", "postinstall": "patch-package", "typeorm": "node --require ts-node/register ./node_modules/typeorm/cli.js", - "initMigration": "npm run typeorm -- migration:generate -t 1642180264563 -d ormconfig.js \"src/Common/Migrations/Database/init\"" + "initMigration": "npm run typeorm -- migration:generate -t 1642180264563 -d ormconfig.js \"src/Common/Migrations/Database/init\"", + "cv-install-ubuntu-prebuild": "build-opencv --incDir /usr/include/opencv4/ --libDir /lib/x86_64-linux-gnu/ --binDir=/usr/bin/ --nobuild rebuild", + "cv-install-docker-prebuild": "build-opencv --incDir /usr/include/opencv4/ --libDir /usr/lib/ --binDir=/usr/bin/ --nobuild rebuild", + "cv-autoinstall-cuda": "build-opencv --version 4.5.5 --flags=\"-DWITH_CUDA=ON -DWITH_CUDNN=ON -DOPENCV_DNN_CUDA=ON -DCUDA_FAST_MATH=ON\" build", + "cv-autoinstall": "build-opencv build" }, "engines": { "node": ">=16" @@ -42,6 +46,7 @@ "@nlpjs/language": "^4.22.7", "@nlpjs/nlp": "^4.23.5", "@stdlib/regexp-regexp": "^0.0.6", + "@u4/opencv4nodejs": "^6.2.1", "ajv": "^7.2.4", "ansi-regex": ">=5.0.1", "async": "^3.2.0", @@ -160,6 +165,7 @@ "better-sqlite3": "^7.5.0", "mongo": "^3.6.0", "mysql": "^2.18.1", + "opencv-build": "^0.1.9", "pg": "^8.7.1", "sharp": "^0.29.1" } diff --git a/src/Common/OpenCVService.ts b/src/Common/OpenCVService.ts new file mode 100644 index 00000000..803394d1 --- /dev/null +++ b/src/Common/OpenCVService.ts @@ -0,0 +1,242 @@ +import winston, {Logger} from "winston"; +import {CMError} from "../Utils/Errors"; +import {formatNumber, mergeArr, resolvePath} from "../util"; +import * as cvTypes from '@u4/opencv4nodejs' +import ImageData from "./ImageData"; +import {pathToFileURL} from "url"; + +let cv: any; + +export const getCV = async (): Promise => { + if (cv === undefined) { + try { + const cvImport = await import('@u4/opencv4nodejs'); + if (cvImport === undefined) { + throw new CMError('Could not initialize openCV because opencv4nodejs is not installed'); + } + cv = cvImport.default; + } catch (e: any) { + throw new CMError('Could not initialize openCV', {cause: e}); + } + } + return cv as typeof cvTypes.cv; +} + +export class OpenCVService { + + logger: Logger; + + constructor(logger?: Logger) { + const parentLogger = logger ?? winston.loggers.get('app'); + this.logger = parentLogger.child({labels: ['OpenCV']}, mergeArr) + } + + async cv() { + if (cv === undefined) { + try { + const cvImport = await import('@u4/opencv4nodejs'); + if (cvImport === undefined) { + throw new CMError('Could not initialize openCV because opencv4nodejs is not installed'); + } + cv = cvImport.default; + } catch (e: any) { + throw new CMError('Could not initialize openCV', {cause: e}); + } + } + return cv as typeof cvTypes.cv; + } +} + +interface CurrentMaxData { + confidence: number, + loc: cvTypes.Point2, + ratio?: number +} + +export interface MatchResult {matchRec?: cvTypes.Rect, matchedConfidence?: number} + + +/** + * Use openCV matchTemplate() to find images within images + * + * The majority of these code concepts are based on https://pyimagesearch.com/2015/01/26/multi-scale-template-matching-using-python-opencv/ + * and examples/usage of opencv.js is from https://github.com/UrielCh/opencv4nodejs/tree/master/examples/src/templateMatch + * + * */ +export class TemplateCompare { + cv: typeof cvTypes.cv; + logger: Logger; + + template?: cvTypes.Mat; + downscaledTemplates: cvTypes.Mat[] = []; + + constructor(cv: typeof cvTypes.cv, logger: Logger) { + this.cv = cv; + this.logger = logger.child({labels: ['OpenCV', 'Template Match']}, mergeArr) + } + + protected async normalizeImage(image: ImageData) { + return this.cv.imdecode(await ((await image.sharp()).clone().greyscale().toBuffer())); + } + + async setTemplate(image: ImageData) { + this.template = await this.normalizeImage(image); + } + + protected getTemplate() { + if (this.template === undefined) { + throw new Error('Template is not defined, use setTemplate() first'); + } + return this.template.copy().canny(50, 200); + } + + downscaleTemplates() { + if (this.template === undefined) { + throw new Error('Template is not defined, use setTemplate() first'); + } + + const [tH, tW] = this.template.sizes; + + for (let i = 10; i <= 80; i += 10) { + const templateRatio = (100 - i) / 100; + + // for debugging + // const scaled = this.template.copy().resize(new cv.Size(Math.floor(templateRatio * tW), Math.floor(templateRatio * tH))).canny(50, 200); + // const path = pathToFileURL(resolvePath(`./tests/assets/star/starTemplateScaled-${Math.floor(templateRatio * 100)}.jpg`, './')).pathname; + // cv.imwrite(path, scaled); + this.downscaledTemplates.push(this.template.copy().resize(new cv.Size(Math.floor(templateRatio * tW), Math.floor(templateRatio * tH))).canny(50, 200)) + } + } + + async matchImage(sourceImageData: ImageData, downscaleWhich: 'template' | 'image', confidence = 0.5): Promise<[boolean, MatchResult]> { + if (this.template === undefined) { + throw new Error('Template is not defined, use setTemplate() first'); + } + + let currMax: CurrentMaxData | undefined; + + let matchRec: cvTypes.Rect | undefined; + let matchedConfidence: number | undefined; + + if (downscaleWhich === 'template') { + // in this scenario we assume our template is a significant fraction of the size of the source + // so we want to scale down the template size incrementally + // because we are assuming the template in the image is smaller than our source template + + // generate scaled templates and save for later use! + // its likely this class is in use in Recent/Repeat rules which means we will probably be comparing this template against many images + if (this.downscaledTemplates.length === 0) { + this.downscaleTemplates(); + } + + let currMaxTemplateSize: number[] | undefined; + + const src = (await this.normalizeImage(sourceImageData)).canny(50, 200); + + const edgedTemplate = await this.getTemplate(); + + for (const scaledTemplate of [edgedTemplate].concat(this.downscaledTemplates)) { + + // more information on methods... + // https://docs.opencv.org/4.x/d4/dc6/tutorial_py_template_matching.html + // https://stackoverflow.com/questions/58158129/understanding-and-evaluating-template-matching-methods + // https://stackoverflow.com/questions/48799711/explain-difference-between-opencvs-template-matching-methods-in-non-mathematica + // https://datahacker.rs/014-template-matching-using-opencv-in-python/ + // ...may want to try with TM_SQDIFF but will need to use minimum values instead of max + const result = src.matchTemplate(scaledTemplate, cv.TM_CCOEFF_NORMED); + + const minMax = result.minMaxLoc(); + const {maxVal, maxLoc} = minMax; + + if (currMax === undefined || maxVal > currMax.confidence) { + currMaxTemplateSize = scaledTemplate.sizes; + currMax = {confidence: maxVal, loc: maxLoc}; + console.log(`New Best Max Confidence: ${formatNumber(maxVal, {toFixed: 4})}`) + } + if (maxVal >= confidence) { + this.logger.verbose(`Match with confidence ${formatNumber(maxVal, {toFixed: 4})} met threshold of ${confidence}`); + break; + } + } + + if (currMax !== undefined) { + matchedConfidence = currMax.confidence; + + if (currMaxTemplateSize !== undefined) { + const startX = currMax.loc.x; + const startY = currMax.loc.y; + + matchRec = new cv.Rect(startX, startY, currMaxTemplateSize[1], currMaxTemplateSize[0]); + } + } + + + } else { + // in this scenario we assume our template is small, compared to the source image + // and the template found in the source is likely larger than the template + // so we scale down the source incrementally to try to get them to match + + const normalSrc = (await this.normalizeImage(sourceImageData)); + let src = normalSrc.copy(); + const [width, height] = src.sizes; + + const edgedTemplate = await this.getTemplate(); + const [tH, tW] = edgedTemplate.sizes; + + let ratio = 1; + + for (let i = 0; i <= 80; i += 5) { + ratio = (100 - i) / 100; + + if (i !== 100) { + const resizedWidth = Math.floor(width * ratio); + const resizedHeight = Math.floor(height * ratio); + src = src.resize(new cv.Size(resizedWidth, resizedHeight)); + } + + const [sH, sW] = src.sizes; + if (sH < tH || sW < tW) { + // scaled source is smaller than template + this.logger.debug(`Template matching ended early due to downscaled image being smaller than template`); + break; + } + + const edged = src.canny(50, 200); + const result = edged.matchTemplate(edgedTemplate, cv.TM_CCOEFF_NORMED); + + const minMax = result.minMaxLoc(); + const {maxVal, maxLoc} = minMax; + + if (currMax === undefined || maxVal > currMax.confidence) { + currMax = {confidence: maxVal, loc: maxLoc, ratio}; + console.log(`New Best Confidence: ${formatNumber(maxVal, {toFixed: 4})}`) + } + if (maxVal >= confidence) { + this.logger.verbose(`Match with confidence ${formatNumber(maxVal, {toFixed: 4})} met threshold of ${confidence}`); + break; + } + } + + if (currMax === undefined) { + // template was larger than source + this.logger.debug('No local max found'); + } else { + const maxRatio = currMax.ratio as number; + + const startX = currMax.loc.x * (1 / maxRatio); + const startY = currMax.loc.y * (1 / maxRatio); + + const endWidth = tW * (1 / maxRatio); + const endHeight = tH * (1 / maxRatio); + + matchRec = new cv.Rect(startX, startY, endWidth, endHeight); + matchedConfidence = currMax.confidence; + } + } + + if (currMax !== undefined) { + return [currMax.confidence >= confidence, {matchRec, matchedConfidence}] + } + return [false, {matchRec, matchedConfidence}] + } +} diff --git a/tests/assets/star-inside.png b/tests/assets/star-inside.png new file mode 100644 index 00000000..568158bd Binary files /dev/null and b/tests/assets/star-inside.png differ diff --git a/tests/assets/star-transparent.png b/tests/assets/star-transparent.png new file mode 100644 index 00000000..d7e24eaa Binary files /dev/null and b/tests/assets/star-transparent.png differ diff --git a/tests/assets/tran-selection.jpg b/tests/assets/tran-selection.jpg new file mode 100644 index 00000000..d6ac9e7a Binary files /dev/null and b/tests/assets/tran-selection.jpg differ diff --git a/tests/assets/tran.jpg b/tests/assets/tran.jpg new file mode 100644 index 00000000..4aaba9da Binary files /dev/null and b/tests/assets/tran.jpg differ diff --git a/tests/opencv.test.ts b/tests/opencv.test.ts new file mode 100644 index 00000000..71091df9 --- /dev/null +++ b/tests/opencv.test.ts @@ -0,0 +1,75 @@ +import {describe, it} from 'mocha'; +import chai from 'chai'; +import chaiAsPromised from 'chai-as-promised'; +import express, {Request, Response} from "express"; +import {formatNumber, resolvePath, sleep} from "../src/util"; +import {pathToFileURL, URL} from "url"; +import ImageData from "../src/Common/ImageData"; +import * as cvTypes from '@u4/opencv4nodejs' +import {getCV, TemplateCompare} from "../src/Common/OpenCVService"; +import winston from 'winston'; + +chai.use(chaiAsPromised); + +const assert = chai.assert; + +const star = pathToFileURL(resolvePath('./tests/assets/star-transparent.png', './')); +const starInside = pathToFileURL(resolvePath('./tests/assets/star-inside.png', './')); +const tran = pathToFileURL(resolvePath('./tests/assets/tran.jpg', './')); +const tranSel = pathToFileURL(resolvePath('./tests/assets/tran-selection.jpg', './')); + +describe('Template Matching', function () { + + let cv: typeof cvTypes.cv; + + before(async () => { + cv = await getCV(); + }); + + it('matches a standard example', async function () { + + const templateMatch = new TemplateCompare(cv, winston.loggers.get('app')); + + await templateMatch.setTemplate(new ImageData({path: tranSel})); + + const [passed, results] = await templateMatch.matchImage(new ImageData({ + path: tran + }), 'template'); + + if(results.matchRec !== undefined) { + const src = cv.imread(tran.pathname); + src.drawRectangle( + results.matchRec, + new cv.Vec3(0, 255, 0), + 2, + cv.LINE_8 + ); + // TODO mask is not drawn correctly (its above?) + cv.imwrite(pathToFileURL(resolvePath(`./tests/assets/tran-masked.jpg`, './')).pathname, src); + } + + assert.isTrue(passed); + }); + + it('matches a template using service', async function () { + + const templateMatch = new TemplateCompare(cv, winston.loggers.get('app')); + + await templateMatch.setTemplate(new ImageData({path: star})); + + const [passed, results] = await templateMatch.matchImage(new ImageData({ + path: starInside + }), 'template', 0.2); + + if(results.matchRec !== undefined) { + const src = cv.imread(starInside.pathname); + src.drawRectangle( + results.matchRec, + new cv.Vec3(0, 255, 0), + 2, + cv.LINE_8 + ); + cv.imwrite(pathToFileURL(resolvePath(`./tests/assets/star-masked.jpg`, './')).pathname, src); + } + }); +});