├── .github ├── ISSUE_TEMPLATE │ ├── bug_report.md │ └── feature_request.md └── workflows │ └── cla.yml ├── .gitignore ├── CLA.md ├── LICENSE ├── README.md ├── __tests__ ├── add_options_to_url.test.js ├── delete.test.js ├── get_full_url.test.js ├── isBase64.test.js ├── isPathRelative.test.js ├── isUrl.test.js ├── list.test.js └── upload.test.js ├── compreface.d.ts ├── core └── compre_face.js ├── coverage ├── clover.xml ├── coverage-final.json ├── lcov-report │ ├── base.css │ ├── block-navigation.js │ ├── endpoints │ │ ├── common_endpoints.js.html │ │ ├── index.html │ │ └── recognition_endpoints.js.html │ ├── favicon.png │ ├── functions │ │ ├── index.html │ │ └── index.js.html │ ├── index.html │ ├── index.js.html │ ├── prettify.css │ ├── prettify.js │ ├── sort-arrow-sprite.png │ └── sorter.js └── lcov.info ├── endpoints ├── __mocks__ │ └── list.js ├── common_endpoints.js ├── recognition_endpoints.js ├── subject_endpoints.js ├── upload.js └── verification_endpoints.js ├── face_founder_demo ├── .gitignore ├── README.md ├── package.json ├── public │ ├── favicon.ico │ ├── index.html │ ├── logo192.png │ ├── logo512.png │ ├── manifest.json │ └── robots.txt ├── src │ ├── App.js │ ├── App.test.js │ ├── assets │ │ └── functions.js │ ├── components │ │ ├── CustomToast.jsx │ │ ├── DisplayCropedImages.jsx │ │ ├── DisplayFoundImages.jsx │ │ ├── ShowBadImages.jsx │ │ └── UploadedImge.jsx │ ├── custom.css │ ├── image │ │ └── exadel.jpg │ ├── index.js │ └── setupTests.js └── yarn.lock ├── functions └── index.js ├── index.js ├── package.json ├── services ├── detection_service.js ├── recognition_service.js └── verification_service.js └── webcam_demo ├── .gitignore ├── README.md ├── package.json ├── public ├── favicon.ico ├── index.html ├── logo192.png ├── logo512.png ├── manifest.json └── robots.txt └── src ├── App.css ├── App.js └── index.js /.github/ISSUE_TEMPLATE/bug_report.md: -------------------------------------------------------------------------------- 1 | --- 2 | name: Bug report 3 | about: Create a report to help us improve 4 | title: '' 5 | labels: '' 6 | assignees: '' 7 | 8 | --- 9 | 10 | **Describe the bug** 11 | A clear and concise description of what the bug is. 12 | 13 | **To Reproduce** 14 | Code example. 15 | 16 | **Expected behavior** 17 | A clear and concise description of what you expected to happen. 18 | 19 | **Logs** 20 | If applicable, add logs to help explain your problem. 21 | 22 | **Additional context** 23 | Add any other context about the problem here. 24 | -------------------------------------------------------------------------------- /.github/ISSUE_TEMPLATE/feature_request.md: -------------------------------------------------------------------------------- 1 | --- 2 | name: Feature request 3 | about: Suggest an idea for this project 4 | title: '' 5 | labels: '' 6 | assignees: '' 7 | 8 | --- 9 | 10 | **Is your feature request related to a problem? Please describe.** 11 | A clear and concise description of what the problem is. Ex. I'm always frustrated when [...] 12 | 13 | **Describe the solution you'd like** 14 | A clear and concise description of what you want to happen. 15 | 16 | **Describe alternatives you've considered** 17 | A clear and concise description of any alternative solutions or features you've considered. 18 | 19 | **Additional context** 20 | Add any other context or screenshots about the feature request here. 21 | -------------------------------------------------------------------------------- /.github/workflows/cla.yml: -------------------------------------------------------------------------------- 1 | name: "CLA Assistant" 2 | on: 3 | issue_comment: 4 | types: [created] 5 | pull_request_target: 6 | types: [opened,closed,synchronize] 7 | 8 | jobs: 9 | CLAssistant: 10 | runs-on: ubuntu-latest 11 | steps: 12 | - name: "CLA Assistant" 13 | if: (github.event.comment.body == 'recheckcla' || github.event.comment.body == 'I have read the CLA Document and I hereby sign the CLA') || github.event_name == 'pull_request_target' 14 | # Alpha Release 15 | uses: cla-assistant/github-action@v2.0.1-alpha 16 | env: 17 | GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} 18 | PERSONAL_ACCESS_TOKEN : ${{ secrets.PERSONAL_ACCESS_TOKEN }} 19 | with: 20 | path-to-signatures: 'signatures/cla.json' 21 | path-to-cla-document: 'https://github.com/exadel-inc/compreface-javascript-sdk/blob/develop/CLA.md' 22 | branch: 'CLA-signatures' 23 | allowlist: bot* 24 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | /node_modules 2 | package-lock.json 3 | .idea/ 4 | *.iml -------------------------------------------------------------------------------- /CLA.md: -------------------------------------------------------------------------------- 1 | # Contributor License Agreement 2 | 3 | Thank you for your interest in contributing to the **CompreFace** (“Material”) by Exadel, Inc. 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We also recommend that a 186 | file or class name and description of purpose be included on the 187 | same "printed page" as the copyright notice for easier 188 | identification within third-party archives. 189 | 190 | Copyright [yyyy] [name of copyright owner] 191 | 192 | Licensed under the Apache License, Version 2.0 (the "License"); 193 | you may not use this file except in compliance with the License. 194 | You may obtain a copy of the License at 195 | 196 | http://www.apache.org/licenses/LICENSE-2.0 197 | 198 | Unless required by applicable law or agreed to in writing, software 199 | distributed under the License is distributed on an "AS IS" BASIS, 200 | WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 201 | See the License for the specific language governing permissions and 202 | limitations under the License. 203 | -------------------------------------------------------------------------------- /__tests__/add_options_to_url.test.js: -------------------------------------------------------------------------------- 1 | import { common_functions } from '../functions/index.js'; 2 | 3 | test("Check passed options to services", () => { 4 | let url = 'http://localhost:8000/api/v1/detection/detect', 5 | global_options = { 6 | limit: 1 7 | }, 8 | local_options = { 9 | limit: 0, 10 | det_prob_threshold: 0.5, 11 | prediction_count: 1, 12 | face_plugins: 'age,gender', 13 | status: true 14 | }, 15 | required_url_parameters = { 16 | limit: true, 17 | det_prob_threshold: true, 18 | prediction_count: true, 19 | face_plugins: true, 20 | status: true 21 | }; 22 | let result = 'http://localhost:8000/api/v1/detection/detect?limit=1&det_prob_threshold=0.5&prediction_count=1&face_plugins=age,gender&status=true'; 23 | expect(common_functions.add_options_to_url(url, global_options, local_options, required_url_parameters)).toEqual(result); 24 | }) -------------------------------------------------------------------------------- /__tests__/delete.test.js: -------------------------------------------------------------------------------- 1 | import { recognition_endpoints } from '../endpoints/recognition_endpoints.js'; 2 | import { jest } from '@jest/globals'; 3 | 4 | jest.doMock('../endpoints/recognition_endpoints.js') 5 | 6 | const expected_res = {"image_id": "1d00114b-c1c1-4535-b881-ff5c53366e94", "subject": "Cute girl"}; 7 | 8 | it("Check delete endpoint", async () => { 9 | const result = await recognition_endpoints.delete_request("http://localhost:8000/api/v1/recognition/faces/1d00114b-c1c1-4535-b881-ff5c53366e94", '63a1f5cf-da50-4316-a1ce-50c13cac121b') 10 | expect(result.data.faces).toEqual(expected_res) 11 | expect.assertions(1); 12 | }) -------------------------------------------------------------------------------- /__tests__/get_full_url.test.js: -------------------------------------------------------------------------------- 1 | import { common_functions } from '../functions/index.js'; 2 | 3 | test("Construct full url from base url, server and port number", () => { 4 | let base_url = 'api/v1/detection/detect', 5 | server = 'http://localhost', 6 | port = 8000; 7 | let result = 'http://localhost:8000/api/v1/detection/detect'; 8 | 9 | expect(common_functions.get_full_url(base_url, server, port)).toEqual(result); 10 | }) -------------------------------------------------------------------------------- /__tests__/isBase64.test.js: -------------------------------------------------------------------------------- 1 | import { common_functions } from '../functions/index.js'; 2 | 3 | test("Check passed value is base64 or not", () => { 4 | let base64 = 'cGFzc3dvcmQ='; 5 | let result = true; 6 | 7 | expect(common_functions.isBase64(base64)).toEqual(result); 8 | }) -------------------------------------------------------------------------------- /__tests__/isPathRelative.test.js: -------------------------------------------------------------------------------- 1 | import { common_functions } from '../functions/index.js'; 2 | 3 | test("Check the path of image", () => { 4 | let path = '../img/girl.png'; 5 | 6 | expect(common_functions.isPathRelative(path)).toEqual(true); 7 | }) -------------------------------------------------------------------------------- /__tests__/isUrl.test.js: -------------------------------------------------------------------------------- 1 | import { common_functions } from '../functions/index.js'; 2 | 3 | test("Check passed value is url or not", () => { 4 | let url = "https://gmail.com"; 5 | let result = true; 6 | 7 | expect(common_functions.isUrl(url)).toEqual(result); 8 | }) -------------------------------------------------------------------------------- /__tests__/list.test.js: -------------------------------------------------------------------------------- 1 | import { recognition_endpoints } from '../endpoints/recognition_endpoints.js'; 2 | import { jest } from '@jest/globals'; 3 | 4 | jest.doMock('../endpoints/recognition_endpoints.js') 5 | 6 | const expected_res = [{"image_id": "d71b4c82-f02e-4d85-83d4-f2b9dae74640", "subject": "Cute girl"}, {"image_id": "1d00114b-c1c1-4535-b881-ff5c53366e94", "subject": "Cute girl"}]; 7 | 8 | it("Check list of images in face collection", async () => { 9 | const result = await recognition_endpoints.list_request("http://localhost:8000/api/v1/recognition/faces", '63a1f5cf-da50-4316-a1ce-50c13cac121b') 10 | expect(result.data.faces).toEqual(expected_res) 11 | expect.assertions(1); 12 | }) -------------------------------------------------------------------------------- /__tests__/upload.test.js: -------------------------------------------------------------------------------- 1 | import { common_endpoints } from '../endpoints/common_endpoints'; 2 | import { jest } from '@jest/globals'; 3 | 4 | jest.doMock('../endpoints/common_endpoints.js') 5 | 6 | it("Check upload function", () => { 7 | let url = "http://localhost:8000/api/v1/recognition/faces?subject=test"; 8 | let api_key = '63a1f5cf-da50-4316-a1ce-50c13cac121b'; 9 | let image_url = "https://media.gettyimages.com/photos/woman-standing-on-city-street-looking-at-camera-picture-id1292452761?s=2048x2048"; 10 | 11 | common_endpoints.upload_url(image_url, url, api_key) 12 | .then(result => { 13 | expect(result.data).toEqual(undefined) 14 | expect.assertions(1); 15 | }) 16 | .catch(error => console.log(error)) 17 | 18 | }) -------------------------------------------------------------------------------- /compreface.d.ts: -------------------------------------------------------------------------------- 1 | /* 2 | * Copyright (c) 2020 the original author or authors 3 | * 4 | * Licensed under the Apache License, Version 2.0 (the "License"); 5 | * you may not use this file except in compliance with the License. 6 | * You may obtain a copy of the License at 7 | * 8 | * https://www.apache.org/licenses/LICENSE-2.0 9 | * 10 | * Unless required by applicable law or agreed to in writing, software 11 | * distributed under the License is distributed on an "AS IS" BASIS, 12 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express 13 | * or implied. See the License for the specific language governing 14 | * permissions and limitations under the License. 15 | */ 16 | 17 | declare interface Options { 18 | limit: number, 19 | prediction_count?: number, 20 | face_plugins?: string, 21 | det_prob_threshold?: number, 22 | status?: boolean 23 | } 24 | declare interface FaceCollectionAddOptions { 25 | det_prob_threshold: string 26 | } 27 | 28 | declare interface ServiceOptions{ 29 | limit: number, 30 | face_plugins?: string, 31 | det_prob_threshold?: number, 32 | status?: boolean 33 | } 34 | 35 | declare interface Detection { 36 | detect(image_path: string, localOptions?: ServiceOptions): Promise; 37 | } 38 | 39 | declare interface Verification { 40 | verify(source_image_path: string, target_image_path: string, options: ServiceOptions): Promise 41 | } 42 | 43 | declare interface Recognition { 44 | recognize(image_path: string, options: Options): Promise; 45 | getFaceCollection(): FaceCollectionFunctions; 46 | subjectFunctions(): SubjectFunctions; 47 | } 48 | 49 | declare interface FaceCollectionFunctions { 50 | /** 51 | * View the list of images in face collection 52 | * @returns {Promise} 53 | */ 54 | list(): Promise, 55 | 56 | /** 57 | * Add image (with subject) to face collection 58 | * @param {String} image_path 59 | * @param {String} subject 60 | * @returns {Promise} 61 | */ 62 | add(image_path: string, subject: string, options?: FaceCollectionAddOptions): Promise; 63 | 64 | /** 65 | * Verify face from image 66 | * @param {String} image_path 67 | * @param {String} image_id 68 | * @returns {Promise} 69 | */ 70 | verify(image_path: string, image_id: string, options?: Options): Promise, 71 | 72 | /** 73 | * Delete image by id 74 | * @param {String} image_id 75 | * @returns {Promise} 76 | */ 77 | delete(image_id: string): Promise, 78 | 79 | /** 80 | * Delete multiple images 81 | * @param {String[]} image_ids 82 | * @returns {Promise} 83 | */ 84 | delete_multiple_images(image_ids: string[]): Promise, 85 | /** 86 | * Delete image by subject 87 | * @param {String} subject 88 | * @returns {Promise} 89 | */ 90 | delete_all_subject(subject: string): Promise, 91 | 92 | /** 93 | * Delete all images in face collection 94 | * @returns {Promise} 95 | */ 96 | delete_all(): Promise, 97 | } 98 | 99 | declare interface SubjectFunctions { 100 | 101 | /** 102 | * List the subjects 103 | * @returns {Promise} 104 | */ 105 | list(): Promise, 106 | 107 | /** 108 | * Add subject 109 | * @param {String} subject 110 | * @returns {Promise} 111 | */ 112 | add(subject: string): Promise, 113 | 114 | /** 115 | * Rename the subject 116 | * @param {String} presentSubjectName 117 | * @param {String} newSubjectName 118 | * @returns {Promise} 119 | */ 120 | rename(presentSubjectName: string, newSubjectName: string): Promise, 121 | 122 | /** 123 | * Delete a subject 124 | * @param {String} subject 125 | * @returns {Promise} 126 | */ 127 | delete(subject: string): Promise, 128 | 129 | /** 130 | * Delete all subject 131 | * @param {String} subject 132 | * @returns {Promise} 133 | */ 134 | deleteAll(): Promise; 135 | } 136 | 137 | export declare class CompreFace { 138 | constructor(server: string, port: number, options?: Options); 139 | 140 | /** 141 | * Initialize RecognitionService instance 142 | * @param {String} api_key 143 | * @returns {Object} 144 | */ 145 | initFaceRecognitionService(api_key: string): Recognition; 146 | 147 | /** 148 | * Initialize VerificationService instance 149 | * @param {String} api_key 150 | * @returns {Object} 151 | */ 152 | initFaceVerificationService(api_key: string): Verification; 153 | 154 | /** 155 | * Initialize DetectionService instance 156 | * @param {String} api_key 157 | * @returns {Object} 158 | */ 159 | initFaceDetectionService(api_key: string): Detection; 160 | } 161 | 162 | -------------------------------------------------------------------------------- /core/compre_face.js: -------------------------------------------------------------------------------- 1 | /* 2 | * Copyright (c) 2020 the original author or authors 3 | * 4 | * Licensed under the Apache License, Version 2.0 (the "License"); 5 | * you may not use this file except in compliance with the License. 6 | * You may obtain a copy of the License at 7 | * 8 | * https://www.apache.org/licenses/LICENSE-2.0 9 | * 10 | * Unless required by applicable law or agreed to in writing, software 11 | * distributed under the License is distributed on an "AS IS" BASIS, 12 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express 13 | * or implied. See the License for the specific language governing 14 | * permissions and limitations under the License. 15 | */ 16 | import { RecognitionService } from '../services/recognition_service.js'; 17 | import { VerificationService } from '../services/verification_service.js'; 18 | import { DetectionService } from '../services/detection_service.js'; 19 | // main class 20 | class CompreFace { 21 | constructor(server, port, options){ 22 | this.server = server; 23 | this.port = port; 24 | this.options = options; 25 | } 26 | /** 27 | * Initialize RecognitionService instance 28 | * @param {String} api_key 29 | * @returns {Object} 30 | */ 31 | initFaceRecognitionService(api_key){ 32 | let recognition_object = new RecognitionService(this.server, this.port, this.options, api_key) 33 | return recognition_object; 34 | } 35 | 36 | /** 37 | * Initialize VerificationService instance 38 | * @param {String} api_key 39 | * @returns {Object} 40 | */ 41 | initFaceVerificationService(api_key){ 42 | let verification_object = new VerificationService(this.server, this.port, this.options, api_key) 43 | return verification_object; 44 | } 45 | 46 | /** 47 | * Initialize DetectionService instance 48 | * @param {String} api_key 49 | * @returns {Object} 50 | */ 51 | initFaceDetectionService(api_key){ 52 | let detection_object = new DetectionService(this.server, this.port, this.options, api_key) 53 | return detection_object; 54 | } 55 | } 56 | 57 | export { CompreFace }; -------------------------------------------------------------------------------- /coverage/clover.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 40 | 41 | 42 | 43 | 44 | 45 | 46 | 47 | 48 | 49 | 50 | 51 | 52 | 53 | 54 | 55 | 56 | 57 | 58 | 59 | 60 | 61 | 62 | 63 | 64 | 65 | 66 | 67 | 68 | 69 | 70 | 71 | 72 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line-height: 0; 201 | } 202 | .cover-empty { 203 | background: white; 204 | } 205 | .cover-full { 206 | border-right: none !important; 207 | } 208 | pre.prettyprint { 209 | border: none !important; 210 | padding: 0 !important; 211 | margin: 0 !important; 212 | } 213 | .com { color: #999 !important; } 214 | .ignore-none { color: #999; font-weight: normal; } 215 | 216 | .wrapper { 217 | min-height: 100%; 218 | height: auto !important; 219 | height: 100%; 220 | margin: 0 auto -48px; 221 | } 222 | .footer, .push { 223 | height: 48px; 224 | } 225 | -------------------------------------------------------------------------------- /coverage/lcov-report/block-navigation.js: -------------------------------------------------------------------------------- 1 | /* eslint-disable */ 2 | var jumpToCode = (function init() { 3 | // Classes of code we would like to highlight in the file view 4 | var missingCoverageClasses = ['.cbranch-no', '.cstat-no', '.fstat-no']; 5 | 6 | // Elements to highlight in the file listing view 7 | var fileListingElements = ['td.pct.low']; 8 | 9 | // We don't want to select elements that are direct descendants of another match 10 | var notSelector = ':not(' + missingCoverageClasses.join('):not(') + ') > '; // becomes `:not(a):not(b) > ` 11 | 12 | // Selecter that finds elements on the page to which we can jump 13 | var selector = 14 | fileListingElements.join(', ') + 15 | ', ' + 16 | notSelector + 17 | missingCoverageClasses.join(', ' + notSelector); // becomes `:not(a):not(b) > a, :not(a):not(b) > b` 18 | 19 | // The NodeList of matching elements 20 | var missingCoverageElements = document.querySelectorAll(selector); 21 | 22 | var currentIndex; 23 | 24 | function toggleClass(index) { 25 | missingCoverageElements 26 | .item(currentIndex) 27 | .classList.remove('highlighted'); 28 | missingCoverageElements.item(index).classList.add('highlighted'); 29 | } 30 | 31 | function makeCurrent(index) { 32 | toggleClass(index); 33 | currentIndex = index; 34 | missingCoverageElements.item(index).scrollIntoView({ 35 | behavior: 'smooth', 36 | block: 'center', 37 | inline: 'center' 38 | }); 39 | } 40 | 41 | function goToPrevious() { 42 | var nextIndex = 0; 43 | if (typeof currentIndex !== 'number' || currentIndex === 0) { 44 | nextIndex = missingCoverageElements.length - 1; 45 | } else if (missingCoverageElements.length > 1) { 46 | nextIndex = currentIndex - 1; 47 | } 48 | 49 | makeCurrent(nextIndex); 50 | } 51 | 52 | function goToNext() { 53 | var nextIndex = 0; 54 | 55 | if ( 56 | typeof currentIndex === 'number' && 57 | currentIndex < missingCoverageElements.length - 1 58 | ) { 59 | nextIndex = currentIndex + 1; 60 | } 61 | 62 | makeCurrent(nextIndex); 63 | } 64 | 65 | return function jump(event) { 66 | switch (event.which) { 67 | case 78: // n 68 | case 74: // j 69 | goToNext(); 70 | break; 71 | case 66: // b 72 | case 75: // k 73 | case 80: // p 74 | goToPrevious(); 75 | break; 76 | } 77 | }; 78 | })(); 79 | window.addEventListener('keydown', jumpToCode); 80 | -------------------------------------------------------------------------------- /coverage/lcov-report/endpoints/index.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | Code coverage report for endpoints 7 | 8 | 9 | 10 | 11 | 12 | 17 | 18 | 19 | 20 |
21 |
22 |

All files endpoints

23 |
24 | 25 |
26 | 36.11% 27 | Statements 28 | 13/36 29 |
30 | 31 | 32 |
33 | 100% 34 | Branches 35 | 0/0 36 |
37 | 38 | 39 |
40 | 50% 41 | Functions 42 | 6/12 43 |
44 | 45 | 46 |
47 | 36.11% 48 | Lines 49 | 13/36 50 |
51 | 52 | 53 |
54 |

55 | Press n or j to go to the next uncovered block, b, p or k for the previous block. 56 |

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60 | 61 | 62 | 63 | 64 | 65 | 66 | 67 | 68 | 69 | 70 | 71 | 72 | 73 | 74 | 75 | 76 | 77 | 80 | 81 | 82 | 83 | 84 | 85 | 86 | 87 | 88 | 89 | 90 | 91 | 92 | 95 | 96 | 97 | 98 | 99 | 100 | 101 | 102 | 103 | 104 | 105 | 106 |
FileStatementsBranchesFunctionsLines
common_endpoints.js 78 |
79 | 		16%4/25100%0/025%2/816%4/25
recognition_endpoints.js 93 |
94 | 		81.82%9/11100%0/0100%4/481.82%9/11
107 |
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110 |
111 | Code coverage generated by 112 | istanbul 113 | at Thu May 27 2021 13:21:42 GMT+0300 (Москва, стандартное время) 114 |
115 | 116 | 117 | 122 | 123 | 124 | 125 | 126 | -------------------------------------------------------------------------------- /coverage/lcov-report/endpoints/recognition_endpoints.js.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | Code coverage report for endpoints/recognition_endpoints.js 7 | 8 | 9 | 10 | 11 | 12 | 17 | 18 | 19 | 20 |
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26 | 81.82% 27 | Statements 28 | 9/11 29 |
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44 | 45 | 46 |
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/*
191 |  * Copyright (c) 2020 the original author or authors
192 |  *
193 |  * Licensed under the Apache License, Version 2.0 (the "License");
194 |  * you may not use this file except in compliance with the License.
195 |  * You may obtain a copy of the License at
196 |  *
197 |  *      https://www.apache.org/licenses/LICENSE-2.0
198 |  *
199 |  * Unless required by applicable law or agreed to in writing, software
200 |  * distributed under the License is distributed on an "AS IS" BASIS,
201 |  * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
202 |  * or implied. See the License for the specific language governing
203 |  * permissions and limitations under the License.
204 |  */
205 | import axios from 'axios';
206 |  
207 | const recognition_endpoints = {
208 |     /**
209 |      * View list of faces user tried
210 |      * @param {String} url 
211 |      * @param {String} api_key 
212 |      * @returns {Promise}
213 |      */
214 |     async list_request(url, api_key){
215 |         return new Promise( async (resolve, reject) => {
216 |             try {
217 |                 const response = await axios.get(url, { 
218 |                     headers: {
219 |                         "x-api-key": api_key 
220 |                     }
221 |                 })
222 |  
223 |                 resolve(response)
224 |             } catch (error) {
225 |                 reject(error)
226 |             }
227 |         })
228 |     },
229 |  
230 |     /**
231 |      * Delete image(s)
232 |      * @param {String} url 
233 |      * @param {String} api_key 
234 |      * @returns {Promise}
235 |      */
236 |     async delete_request(url, api_key){
237 |         return new Promise( async (resolve, reject) => {
238 |             try {
239 |                 const response = await axios.delete(url, { 
240 |                     headers: {
241 |                         "x-api-key": api_key
242 |                     }
243 |                 }) 
244 |  
245 |                 resolve(response)
246 |             } catch (error) {
247 |                 reject(error)
248 |             }
249 |         })
250 |     }
251 | } 
252 |  
253 | export { recognition_endpoints };
254 |  
255 |  
256 | 257 |
258 |
259 |
260 | Code coverage generated by 261 | istanbul 262 | at Thu May 27 2021 13:21:42 GMT+0300 (Москва, стандартное время) 263 |
264 | 265 | 266 | 271 | 272 | 273 | 274 | 275 | -------------------------------------------------------------------------------- /coverage/lcov-report/favicon.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/exadel-inc/compreface-javascript-sdk/95bcd3e9549075334db608717cbd66502cf94152/coverage/lcov-report/favicon.png -------------------------------------------------------------------------------- /coverage/lcov-report/functions/index.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | Code coverage report for functions 7 | 8 | 9 | 10 | 11 | 12 | 17 | 18 | 19 | 20 |
21 |
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23 |
24 | 25 |
26 | 95.65% 27 | Statements 28 | 22/23 29 |
30 | 31 | 32 |
33 | 70.83% 34 | Branches 35 | 17/24 36 |
37 | 38 | 39 |
40 | 100% 41 | Functions 42 | 4/4 43 |
44 | 45 | 46 |
47 | 100% 48 | Lines 49 | 22/22 50 |
51 | 52 | 53 |
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index.js 78 |
79 | 		95.65%22/2370.83%17/24100%4/4100%22/22
92 |
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96 | Code coverage generated by 97 | istanbul 98 | at Thu May 27 2021 13:21:42 GMT+0300 (Москва, стандартное время) 99 |
100 | 101 | 102 | 107 | 108 | 109 | 110 | 111 | -------------------------------------------------------------------------------- /coverage/lcov-report/index.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | Code coverage report for All files 7 | 8 | 9 | 10 | 11 | 12 | 17 | 18 | 19 | 20 |
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26 | 59.32% 27 | Statements 28 | 35/59 29 |
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endpoints 78 |
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functions 93 |
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111 | Code coverage generated by 112 | istanbul 113 | at Thu May 27 2021 13:21:42 GMT+0300 (Москва, стандартное время) 114 |
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-------------------------------------------------------------------------------- /coverage/lcov-report/sort-arrow-sprite.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/exadel-inc/compreface-javascript-sdk/95bcd3e9549075334db608717cbd66502cf94152/coverage/lcov-report/sort-arrow-sprite.png -------------------------------------------------------------------------------- /coverage/lcov-report/sorter.js: -------------------------------------------------------------------------------- 1 | /* eslint-disable */ 2 | var addSorting = (function() { 3 | 'use strict'; 4 | var cols, 5 | currentSort = { 6 | index: 0, 7 | desc: false 8 | }; 9 | 10 | // returns the summary table element 11 | function getTable() { 12 | return document.querySelector('.coverage-summary'); 13 | } 14 | // returns the thead element of the summary table 15 | function getTableHeader() { 16 | return getTable().querySelector('thead tr'); 17 | } 18 | // returns the tbody element of the summary table 19 | function getTableBody() { 20 | return getTable().querySelector('tbody'); 21 | } 22 | // returns the th element for nth column 23 | function getNthColumn(n) { 24 | return getTableHeader().querySelectorAll('th')[n]; 25 | } 26 | 27 | // loads all columns 28 | function loadColumns() { 29 | var colNodes = getTableHeader().querySelectorAll('th'), 30 | colNode, 31 | cols = [], 32 | col, 33 | i; 34 | 35 | for (i = 0; i < colNodes.length; i += 1) { 36 | colNode = colNodes[i]; 37 | col = { 38 | key: colNode.getAttribute('data-col'), 39 | sortable: !colNode.getAttribute('data-nosort'), 40 | type: colNode.getAttribute('data-type') || 'string' 41 | }; 42 | cols.push(col); 43 | if (col.sortable) { 44 | col.defaultDescSort = col.type === 'number'; 45 | colNode.innerHTML = 46 | colNode.innerHTML + ''; 47 | } 48 | } 49 | return cols; 50 | } 51 | // attaches a data attribute to every tr element with an object 52 | // of data values keyed by column name 53 | function loadRowData(tableRow) { 54 | var tableCols = tableRow.querySelectorAll('td'), 55 | colNode, 56 | col, 57 | data = {}, 58 | i, 59 | val; 60 | for (i = 0; i < tableCols.length; i += 1) { 61 | colNode = tableCols[i]; 62 | col = cols[i]; 63 | val = colNode.getAttribute('data-value'); 64 | if (col.type === 'number') { 65 | val = Number(val); 66 | } 67 | data[col.key] = val; 68 | } 69 | return data; 70 | } 71 | // loads all row data 72 | function loadData() { 73 | var rows = getTableBody().querySelectorAll('tr'), 74 | i; 75 | 76 | for (i = 0; i < rows.length; i += 1) { 77 | rows[i].data = loadRowData(rows[i]); 78 | } 79 | } 80 | // sorts the table using the data for the ith column 81 | function sortByIndex(index, desc) { 82 | var key = cols[index].key, 83 | sorter = function(a, b) { 84 | a = a.data[key]; 85 | b = b.data[key]; 86 | return a < b ? -1 : a > b ? 1 : 0; 87 | }, 88 | finalSorter = sorter, 89 | tableBody = document.querySelector('.coverage-summary tbody'), 90 | rowNodes = tableBody.querySelectorAll('tr'), 91 | rows = [], 92 | i; 93 | 94 | if (desc) { 95 | finalSorter = function(a, b) { 96 | return -1 * sorter(a, b); 97 | }; 98 | } 99 | 100 | for (i = 0; i < rowNodes.length; i += 1) { 101 | rows.push(rowNodes[i]); 102 | tableBody.removeChild(rowNodes[i]); 103 | } 104 | 105 | rows.sort(finalSorter); 106 | 107 | for (i = 0; i < rows.length; i += 1) { 108 | tableBody.appendChild(rows[i]); 109 | } 110 | } 111 | // removes sort indicators for current column being sorted 112 | function removeSortIndicators() { 113 | var col = getNthColumn(currentSort.index), 114 | cls = col.className; 115 | 116 | cls = cls.replace(/ sorted$/, '').replace(/ sorted-desc$/, ''); 117 | col.className = cls; 118 | } 119 | // adds sort indicators for current column being sorted 120 | function addSortIndicators() { 121 | getNthColumn(currentSort.index).className += currentSort.desc 122 | ? ' sorted-desc' 123 | : ' sorted'; 124 | } 125 | // adds event listeners for all sorter widgets 126 | function enableUI() { 127 | var i, 128 | el, 129 | ithSorter = function ithSorter(i) { 130 | var col = cols[i]; 131 | 132 | return function() { 133 | var desc = col.defaultDescSort; 134 | 135 | if (currentSort.index === i) { 136 | desc = !currentSort.desc; 137 | } 138 | sortByIndex(i, desc); 139 | removeSortIndicators(); 140 | currentSort.index = i; 141 | currentSort.desc = desc; 142 | addSortIndicators(); 143 | }; 144 | }; 145 | for (i = 0; i < cols.length; i += 1) { 146 | if (cols[i].sortable) { 147 | // add the click event handler on the th so users 148 | // dont have to click on those tiny arrows 149 | el = getNthColumn(i).querySelector('.sorter').parentElement; 150 | if (el.addEventListener) { 151 | el.addEventListener('click', ithSorter(i)); 152 | } else { 153 | el.attachEvent('onclick', ithSorter(i)); 154 | } 155 | } 156 | } 157 | } 158 | // adds sorting functionality to the UI 159 | return function() { 160 | if (!getTable()) { 161 | return; 162 | } 163 | cols = loadColumns(); 164 | loadData(); 165 | addSortIndicators(); 166 | enableUI(); 167 | }; 168 | })(); 169 | 170 | window.addEventListener('load', addSorting); 171 | -------------------------------------------------------------------------------- /coverage/lcov.info: -------------------------------------------------------------------------------- 1 | TN: 2 | SF:endpoints\common_endpoints.js 3 | FN:22,(anonymous_0) 4 | FN:26,(anonymous_1) 5 | FN:49,(anonymous_2) 6 | FN:53,(anonymous_3) 7 | FN:77,(anonymous_4) 8 | FN:80,(anonymous_5) 9 | FN:82,(anonymous_6) 10 | FN:98,(anonymous_7) 11 | FNF:8 12 | FNH:2 13 | FNDA:0,(anonymous_0) 14 | FNDA:0,(anonymous_1) 15 | FNDA:0,(anonymous_2) 16 | FNDA:0,(anonymous_3) 17 | FNDA:1,(anonymous_4) 18 | FNDA:1,(anonymous_5) 19 | FNDA:0,(anonymous_6) 20 | FNDA:0,(anonymous_7) 21 | DA:21,1 22 | DA:23,0 23 | DA:24,0 24 | DA:26,0 25 | DA:27,0 26 | DA:28,0 27 | DA:35,0 28 | DA:37,0 29 | DA:50,0 30 | DA:51,0 31 | DA:53,0 32 | DA:54,0 33 | DA:55,0 34 | DA:63,0 35 | DA:65,0 36 | DA:78,1 37 | DA:80,1 38 | DA:81,1 39 | DA:83,0 40 | DA:84,0 41 | DA:85,0 42 | DA:86,0 43 | DA:93,0 44 | DA:95,0 45 | DA:99,0 46 | LF:25 47 | LH:4 48 | BRF:0 49 | BRH:0 50 | end_of_record 51 | TN: 52 | SF:endpoints\recognition_endpoints.js 53 | FN:25,(anonymous_0) 54 | FN:26,(anonymous_1) 55 | FN:47,(anonymous_2) 56 | FN:48,(anonymous_3) 57 | FNF:4 58 | FNH:4 59 | FNDA:1,(anonymous_0) 60 | FNDA:1,(anonymous_1) 61 | FNDA:1,(anonymous_2) 62 | FNDA:1,(anonymous_3) 63 | DA:18,2 64 | DA:26,1 65 | DA:27,1 66 | DA:28,1 67 | DA:34,1 68 | DA:36,0 69 | DA:48,1 70 | DA:49,1 71 | DA:50,1 72 | DA:56,1 73 | DA:58,0 74 | LF:11 75 | LH:9 76 | BRF:0 77 | BRH:0 78 | end_of_record 79 | TN: 80 | SF:functions\index.js 81 | FN:23,(anonymous_0) 82 | FN:32,(anonymous_1) 83 | FN:45,(anonymous_2) 84 | FN:59,(anonymous_3) 85 | FNF:4 86 | FNH:4 87 | FNDA:1,(anonymous_0) 88 | FNDA:1,(anonymous_1) 89 | FNDA:1,(anonymous_2) 90 | FNDA:1,(anonymous_3) 91 | DA:18,4 92 | DA:24,1 93 | DA:34,1 94 | DA:35,1 95 | DA:37,1 96 | DA:46,1 97 | DA:47,1 98 | DA:48,1 99 | DA:61,1 100 | DA:62,1 101 | DA:65,1 102 | DA:67,1 103 | DA:68,1 104 | DA:72,1 105 | DA:73,1 106 | DA:77,1 107 | DA:78,1 108 | DA:82,1 109 | DA:83,1 110 | DA:87,1 111 | DA:88,1 112 | DA:92,1 113 | LF:22 114 | LH:22 115 | BRDA:46,0,0,0 116 | BRDA:46,0,1,1 117 | BRDA:65,1,0,1 118 | BRDA:65,1,1,0 119 | BRDA:67,2,0,1 120 | BRDA:67,2,1,0 121 | BRDA:67,3,0,1 122 | BRDA:67,3,1,1 123 | BRDA:72,4,0,1 124 | BRDA:72,4,1,0 125 | BRDA:72,5,0,1 126 | BRDA:72,5,1,1 127 | BRDA:77,6,0,1 128 | BRDA:77,6,1,0 129 | BRDA:77,7,0,1 130 | BRDA:77,7,1,1 131 | BRDA:82,8,0,1 132 | BRDA:82,8,1,0 133 | BRDA:82,9,0,1 134 | BRDA:82,9,1,1 135 | BRDA:87,10,0,1 136 | BRDA:87,10,1,0 137 | BRDA:87,11,0,1 138 | BRDA:87,11,1,1 139 | BRF:24 140 | BRH:17 141 | end_of_record 142 | -------------------------------------------------------------------------------- /endpoints/__mocks__/list.js: -------------------------------------------------------------------------------- 1 | const images = { 2 | image_id: "6b135f5b-a365-4522-b1f1-4c9ac2dd0728", 3 | subject: "subject1", 4 | 5 | image_id: "6b135f5b-a365-4522-b1f1-4c9ac2dd0728", 6 | subject: "subject2", 7 | } 8 | 9 | const list = (url, api_key) => { 10 | return new Promise((resolve, reject) => { 11 | process.nextTick(() => { 12 | url && api_key 13 | ? resolve(JSON.stringify(images)) 14 | : reject({ error: "Something went wrong" }) 15 | }) 16 | }) 17 | 18 | } 19 | 20 | export default list; -------------------------------------------------------------------------------- /endpoints/common_endpoints.js: -------------------------------------------------------------------------------- 1 | /* 2 | * Copyright (c) 2020 the original author or authors 3 | * 4 | * Licensed under the Apache License, Version 2.0 (the "License"); 5 | * you may not use this file except in compliance with the License. 6 | * You may obtain a copy of the License at 7 | * 8 | * https://www.apache.org/licenses/LICENSE-2.0 9 | * 10 | * Unless required by applicable law or agreed to in writing, software 11 | * distributed under the License is distributed on an "AS IS" BASIS, 12 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express 13 | * or implied. See the License for the specific language governing 14 | * permissions and limitations under the License. 15 | */ 16 | import axios from 'axios'; 17 | import fs from 'fs'; 18 | import FormData from 'form-data'; 19 | 20 | // Collection of common endpoints that used by almost all services 21 | const common_endpoints = { 22 | /** 23 | * @param {String} base64string 24 | * @param {String} url 25 | * @param {String} api_key 26 | * @returns {Promise} 27 | */ 28 | async upload_base64(base64string, url, api_key){ 29 | let data = { 30 | file: base64string 31 | } 32 | 33 | return new Promise( async (resolve, reject) => { 34 | try { 35 | const response = await axios.post( url, JSON.stringify(data), { 36 | headers: { 37 | 'Content-Type': 'application/json', 38 | "x-api-key": api_key 39 | }, 40 | }) 41 | 42 | resolve(response) 43 | } catch (error) { 44 | reject(error) 45 | } 46 | }) 47 | }, 48 | 49 | /** 50 | * @param {Object} blobData 51 | * @param {String} url 52 | * @param {String} api_key 53 | * @returns {Promise} 54 | */ 55 | async upload_blob(blobData, url, api_key){ 56 | var bodyFormData = new FormData(); 57 | bodyFormData.append('file', blobData, 'example.jpg'); 58 | 59 | return new Promise( async (resolve, reject) => { 60 | try { 61 | const response = await axios.post( url, bodyFormData, { 62 | headers: { 63 | 'Content-Type': 'multipart/form-data', 64 | "x-api-key": api_key 65 | }, 66 | }) 67 | 68 | resolve(response) 69 | } catch (error) { 70 | reject(error) 71 | } 72 | }) 73 | }, 74 | 75 | /** 76 | * Upload from local machine 77 | * @param {String} image_path 78 | * @param {String} url 79 | * @param {String} api_key 80 | * @returns {Promise} 81 | */ 82 | async upload_path(image_path, url, api_key ){ 83 | var bodyFormData = new FormData(); 84 | bodyFormData.append('file', fs.createReadStream(image_path), { knownLength: fs.statSync(image_path).size }); 85 | 86 | return new Promise( async (resolve, reject) => { 87 | try { 88 | const response = await axios.post( url, bodyFormData, { 89 | headers: { 90 | ...bodyFormData.getHeaders(), 91 | "Content-Length": bodyFormData.getLengthSync(), 92 | "x-api-key": api_key 93 | }, 94 | }) 95 | 96 | resolve(response) 97 | } catch (error) { 98 | reject(error) 99 | } 100 | }) 101 | }, 102 | 103 | /** 104 | * Add image (from url) with subject 105 | * @param {String} image_url 106 | * @param {String} url 107 | * @param {String} api_key 108 | * @returns {Promise} 109 | */ 110 | async upload_url(image_url, url, api_key){ 111 | var bodyFormData = new FormData(); 112 | 113 | return new Promise( async (resolve, reject) => { 114 | await axios.get(image_url, { responseType: 'stream' }) 115 | .then( async (response) => { 116 | let image_extention = response.headers['content-type'].split("/")[1] 117 | bodyFormData.append('file', response.data, `example.${image_extention}`); 118 | try { 119 | const res = await axios.post( url, bodyFormData, { 120 | headers: { 121 | ...bodyFormData.getHeaders(), 122 | "x-api-key": api_key 123 | }, 124 | }) 125 | 126 | resolve(res) 127 | } catch (error) { 128 | reject(error) 129 | } 130 | }) 131 | .catch(error => { 132 | reject(error) 133 | }) 134 | }) 135 | }, 136 | } 137 | 138 | export { common_endpoints } -------------------------------------------------------------------------------- /endpoints/recognition_endpoints.js: -------------------------------------------------------------------------------- 1 | /* 2 | * Copyright (c) 2020 the original author or authors 3 | * 4 | * Licensed under the Apache License, Version 2.0 (the "License"); 5 | * you may not use this file except in compliance with the License. 6 | * You may obtain a copy of the License at 7 | * 8 | * https://www.apache.org/licenses/LICENSE-2.0 9 | * 10 | * Unless required by applicable law or agreed to in writing, software 11 | * distributed under the License is distributed on an "AS IS" BASIS, 12 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express 13 | * or implied. See the License for the specific language governing 14 | * permissions and limitations under the License. 15 | */ 16 | import axios from 'axios'; 17 | 18 | const recognition_endpoints = { 19 | /** 20 | * View list of faces user tried 21 | * @param {String} url 22 | * @param {String} api_key 23 | * @returns {Promise} 24 | */ 25 | async list_request(url, api_key){ 26 | return new Promise( async (resolve, reject) => { 27 | try { 28 | const response = await axios.get(url, { 29 | headers: { 30 | "x-api-key": api_key 31 | } 32 | }) 33 | 34 | resolve(response) 35 | } catch (error) { 36 | reject(error) 37 | } 38 | }) 39 | }, 40 | 41 | /** 42 | * Delete image(s) 43 | * @param {String} url 44 | * @param {String} api_key 45 | * @returns {Promise} 46 | */ 47 | async delete_request(url, api_key){ 48 | return new Promise( async (resolve, reject) => { 49 | try { 50 | const response = await axios.delete(url, { 51 | headers: { 52 | "x-api-key": api_key 53 | } 54 | }) 55 | 56 | resolve(response) 57 | } catch (error) { 58 | reject(error) 59 | } 60 | }) 61 | }, 62 | 63 | /** 64 | * Delete multiple images 65 | * @param {String} url 66 | * @param {String} api_key 67 | * @param {String[]} image_ids 68 | * @returns {Promise} 69 | */ 70 | async delete_multiple(url, api_key, image_ids){ 71 | return new Promise( async (resolve, reject) => { 72 | try { 73 | const response = await axios.post(url, image_ids, { 74 | headers: { 75 | "x-api-key": api_key 76 | } 77 | }) 78 | 79 | resolve(response) 80 | } catch (error) { 81 | reject(error) 82 | } 83 | }) 84 | } 85 | 86 | } 87 | 88 | export { recognition_endpoints }; 89 | 90 | -------------------------------------------------------------------------------- /endpoints/subject_endpoints.js: -------------------------------------------------------------------------------- 1 | /* 2 | * Copyright (c) 2020 the original author or authors 3 | * 4 | * Licensed under the Apache License, Version 2.0 (the "License"); 5 | * you may not use this file except in compliance with the License. 6 | * You may obtain a copy of the License at 7 | * 8 | * https://www.apache.org/licenses/LICENSE-2.0 9 | * 10 | * Unless required by applicable law or agreed to in writing, software 11 | * distributed under the License is distributed on an "AS IS" BASIS, 12 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express 13 | * or implied. See the License for the specific language governing 14 | * permissions and limitations under the License. 15 | */ 16 | import axios from 'axios'; 17 | 18 | const subject_endpoints = { 19 | list(url, api_key){ 20 | console.log(url, api_key) 21 | return new Promise( async (resolve, reject) => { 22 | try { 23 | const response = await axios.get(url, { 24 | headers: { 25 | 'Content-Type': 'application/json', 26 | "x-api-key": api_key 27 | } 28 | }) 29 | 30 | resolve(response) 31 | } catch (error) { 32 | reject(error) 33 | } 34 | }) 35 | }, 36 | 37 | add(subject, url, api_key){ 38 | let data = { subject }; 39 | return new Promise( async (resolve, reject) => { 40 | try { 41 | const response = await axios.post( url, JSON.stringify(data), { 42 | headers: { 43 | 'Content-Type': 'application/json', 44 | "x-api-key": api_key 45 | }, 46 | }) 47 | 48 | resolve(response) 49 | } catch (error) { 50 | reject(error) 51 | } 52 | }) 53 | }, 54 | 55 | rename(subject, url, api_key){ 56 | let data = { subject }; 57 | return new Promise( async (resolve, reject) => { 58 | try { 59 | const response = await axios.put( url, JSON.stringify(data), { 60 | headers: { 61 | 'Content-Type': 'application/json', 62 | "x-api-key": api_key 63 | }, 64 | }) 65 | 66 | resolve(response) 67 | } catch (error) { 68 | reject(error) 69 | } 70 | }) 71 | }, 72 | 73 | deleteSubject(url, api_key){ 74 | return new Promise( async (resolve, reject) => { 75 | try { 76 | const response = await axios.delete(url, { 77 | headers: { 78 | 'Content-Type': 'application/json', 79 | "x-api-key": api_key 80 | } 81 | }) 82 | 83 | resolve(response) 84 | } catch (error) { 85 | reject(error) 86 | } 87 | }) 88 | } 89 | } 90 | 91 | export { subject_endpoints } -------------------------------------------------------------------------------- /endpoints/upload.js: -------------------------------------------------------------------------------- 1 | import { common_functions } from '../functions/index.js'; 2 | import { common_endpoints } from '../endpoints/common_endpoints.js'; 3 | 4 | const upload = (image_data, url, api_key) => { 5 | const{ isUrl, isPathRelative, isBase64 } = common_functions; 6 | const { upload_blob, upload_path, upload_url, upload_base64 } = common_endpoints; 7 | 8 | let imageFromUrl = isUrl(image_data), 9 | imageFromPath = isPathRelative(image_data), 10 | imageFromBase64 = isBase64(image_data); 11 | 12 | return new Promise((resolve, reject) => { 13 | if(imageFromUrl){ 14 | upload_url(image_data, url, api_key) 15 | .then(response => { 16 | resolve(response.data) 17 | }) 18 | .catch(error => { 19 | reject(error) 20 | }) 21 | }else if(imageFromBase64){ 22 | upload_base64(image_data, url, api_key) 23 | .then(response => { 24 | resolve(response.data) 25 | }) 26 | .catch(error => { 27 | reject(error) 28 | }) 29 | }else if(imageFromPath){ 30 | upload_path(image_data, url, api_key) 31 | .then(response => { 32 | resolve(response.data) 33 | }) 34 | .catch(error => { 35 | reject(error) 36 | }) 37 | }else { 38 | upload_blob(image_data, url, api_key) 39 | .then(response => { 40 | resolve(response.data) 41 | }) 42 | .catch(error => { 43 | reject(error) 44 | }) 45 | } 46 | }) 47 | } 48 | 49 | export { upload }; -------------------------------------------------------------------------------- /endpoints/verification_endpoints.js: -------------------------------------------------------------------------------- 1 | /* 2 | * Copyright (c) 2020 the original author or authors 3 | * 4 | * Licensed under the Apache License, Version 2.0 (the "License"); 5 | * you may not use this file except in compliance with the License. 6 | * You may obtain a copy of the License at 7 | * 8 | * https://www.apache.org/licenses/LICENSE-2.0 9 | * 10 | * Unless required by applicable law or agreed to in writing, software 11 | * distributed under the License is distributed on an "AS IS" BASIS, 12 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express 13 | * or implied. See the License for the specific language governing 14 | * permissions and limitations under the License. 15 | */ 16 | import axios from 'axios'; 17 | import fs from 'fs'; 18 | import FormData from 'form-data'; 19 | 20 | const verification_endpoints = { 21 | /** 22 | * Verify face(s) from given image 23 | * @param {String} source_image_path 24 | * @param {String} target_image_path 25 | * @param {String} url 26 | * @param {String} api_key 27 | * @returns {Promise} 28 | */ 29 | async verify_face_request(source_image_path, target_image_path, url, api_key ){ 30 | var bodyFormData = new FormData(); 31 | bodyFormData.append('source_image', fs.createReadStream(source_image_path), { knownLength: fs.statSync(source_image_path).size }); 32 | bodyFormData.append('target_image', fs.createReadStream(target_image_path), { knownLength: fs.statSync(target_image_path).size }); 33 | 34 | return new Promise( async (resolve, reject) => { 35 | try { 36 | const response = await axios.post( url, bodyFormData, { 37 | headers: { 38 | ...bodyFormData.getHeaders(), 39 | "Content-Length": bodyFormData.getLengthSync(), 40 | "x-api-key": api_key 41 | }, 42 | }) 43 | 44 | resolve(response) 45 | } catch (error) { 46 | reject(error) 47 | } 48 | }) 49 | }, 50 | 51 | /** 52 | * Verify face(s) from given image urls 53 | * @param {String} source_image_path 54 | * @param {String} target_image_path 55 | * @param {String} url 56 | * @param {String} api_key 57 | * @returns {Promise} 58 | */ 59 | both_url_request( source_image_url, target_image_url, url, api_key){ 60 | let bodyFormData = new FormData(); 61 | let source_image_request = axios.get(source_image_url, { responseType: "stream" }); 62 | let target_image_request = axios.get(target_image_url, { responseType: "stream" }); 63 | 64 | return new Promise( async (resolve, reject) => { 65 | await axios.all([source_image_request, target_image_request]) 66 | .then( axios.spread( async (...responses) => { 67 | let source_image_extention = responses[0].headers['content-type'].split("/")[1]; 68 | let target_image_extention = responses[1].headers['content-type'].split("/")[1]; 69 | 70 | bodyFormData.append('source_image', responses[0].data, `example.${source_image_extention}`); 71 | bodyFormData.append('target_image', responses[1].data, `example1.${target_image_extention}`); 72 | 73 | try { 74 | const res = await axios.post( url, bodyFormData, { 75 | headers: { 76 | ...bodyFormData.getHeaders(), 77 | "x-api-key": api_key 78 | }, 79 | }) 80 | 81 | resolve(res) 82 | } catch (error) { 83 | reject(error) 84 | } 85 | })) 86 | .catch(error => { 87 | reject(error) 88 | }) 89 | }) 90 | }, 91 | 92 | /** 93 | * Verify face(s) from given image urls 94 | * @param {String} source_image_path 95 | * @param {String} target_image_path 96 | * @param {Boolean} isSourceImageUrl 97 | * @param {String} url 98 | * @param {String} api_key 99 | * @returns {Promise} 100 | */ 101 | one_url_request(source_image_path, isSourceImageUrl, target_image_path, url, api_key ){ 102 | var bodyFormData = new FormData(); 103 | let path_is_url = []; 104 | let path_is_relative = []; 105 | 106 | if(isSourceImageUrl){ 107 | path_is_url[0] = "source_image"; 108 | path_is_url[1] = source_image_path; 109 | 110 | path_is_relative[0] = "target_image"; 111 | path_is_relative[1] = target_image_path; 112 | }else{ 113 | path_is_url[0] = "target_image"; 114 | path_is_url[1] = target_image_path; 115 | 116 | path_is_relative[0] = "source_image"; 117 | path_is_relative[1] = source_image_path; 118 | } 119 | bodyFormData.append(path_is_relative[0], fs.createReadStream(path_is_relative[1]), { knownLength: fs.statSync(path_is_relative[1]).size }); 120 | 121 | return new Promise( async (resolve, reject) => { 122 | await axios.get(path_is_url[1], { responseType: 'stream' }) 123 | .then( async (response) => { 124 | let image_extention = response.headers['content-type'].split("/")[1] 125 | bodyFormData.append(path_is_url[0], response.data, `example.${image_extention}`); 126 | 127 | try { 128 | const res = await axios.post( url, bodyFormData, { 129 | headers: { 130 | ...bodyFormData.getHeaders(), 131 | "x-api-key": api_key 132 | }, 133 | }) 134 | 135 | resolve(res) 136 | } catch (error) { 137 | reject(error) 138 | } 139 | }) 140 | .catch(error => { 141 | reject(error) 142 | }) 143 | }) 144 | }, 145 | /** 146 | * Verify face(s) from given blob data 147 | * @param {String} source_image_path 148 | * @param {String} target_image_path 149 | * @param {Boolean} isSourceBlob 150 | * @param {String} url 151 | * @param {String} api_key 152 | * @returns {Promise} 153 | */ 154 | url_blob_request(source_image_path, isSourceImageUrl, target_image_path, url, api_key){ 155 | let bodyFormData = new FormData(); 156 | let path_is_url = []; 157 | let path_is_blob = []; 158 | 159 | if(isSourceImageUrl){ 160 | path_is_url[0] = "source_image"; 161 | path_is_url[1] = source_image_path; 162 | 163 | path_is_blob[0] = "target_image"; 164 | path_is_blob[1] = target_image_path; 165 | }else{ 166 | path_is_url = "target_image"; 167 | path_is_url[1] = target_image_path; 168 | 169 | path_is_blob = "source_image"; 170 | path_is_blob[1] = source_image_path; 171 | } 172 | bodyFormData.append(path_is_blob[0], path_is_blob[1], 'example.jpg'); 173 | 174 | return new Promise( async (resolve, reject) => { 175 | await axios.get(path_is_url[1], { responseType: 'stream' }) 176 | .then( async (response) => { 177 | let image_extention = response.headers['content-type'].split("/")[1] 178 | bodyFormData.append(path_is_url[0], response.data, `example.${image_extention}`); 179 | 180 | try { 181 | const res = await axios.post( url, bodyFormData, { 182 | headers: { 183 | ...bodyFormData.getHeaders(), 184 | "x-api-key": api_key 185 | }, 186 | }) 187 | 188 | resolve(res) 189 | } catch (error) { 190 | reject(error) 191 | } 192 | }) 193 | .catch(error => { 194 | reject(error) 195 | }) 196 | }) 197 | }, 198 | 199 | /** 200 | * Both source and target images are blob 201 | * @param {Blob} source_image_blob 202 | * @param {Blob} target_image_blob 203 | * @param {String} url 204 | * @param {String} api_key 205 | */ 206 | both_blob_request(source_image_blob, target_image_blob, url, api_key){ 207 | var bodyFormData = new FormData(); 208 | 209 | bodyFormData.append('source_image', source_image_blob, 'example.jpg'); 210 | bodyFormData.append('target_image', target_image_blob, 'example1.jpg'); 211 | 212 | return new Promise( async (resolve, reject) => { 213 | try { 214 | const response = await axios.post( url, bodyFormData, { 215 | headers: { 216 | 'Content-Type': 'multipart/form-data', 217 | "x-api-key": api_key 218 | }, 219 | }) 220 | 221 | resolve(response) 222 | } catch (error) { 223 | reject(error) 224 | } 225 | }) 226 | }, 227 | 228 | one_blob_request(source_image_path, isSourceImageBlob, target_image_path, url, api_key ){ 229 | var bodyFormData = new FormData(); 230 | let path_is_blob = []; 231 | let path_is_relative = []; 232 | 233 | if(isSourceImageBlob){ 234 | path_is_blob[0] = "source_image"; 235 | path_is_blob[1] = source_image_path; 236 | 237 | path_is_relative[0] = "target_image"; 238 | path_is_relative[1] = target_image_path; 239 | }else{ 240 | path_is_blob = "target_image"; 241 | path_is_blob[1] = target_image_path; 242 | 243 | path_is_relative = "source_image"; 244 | path_is_relative[1] = source_image_path; 245 | } 246 | 247 | bodyFormData.append(path_is_relative[0], fs.createReadStream(path_is_relative[1]), { knownLength: fs.statSync(path_is_relative[1]).size }); 248 | bodyFormData.append(path_is_blob[0], path_is_blob[1], 'example.jpg'); 249 | 250 | return new Promise( async (resolve, reject) => { 251 | try { 252 | const response = await axios.post( url, bodyFormData, { 253 | headers: { 254 | 'Content-Type': 'multipart/form-data', 255 | "x-api-key": api_key 256 | }, 257 | }) 258 | 259 | resolve(response) 260 | } catch (error) { 261 | reject(error) 262 | } 263 | }) 264 | }, 265 | 266 | /** 267 | * Verify face(s) from given base64 268 | * @param {String} source_image_path 269 | * @param {String} target_image_path 270 | * @param {String} url 271 | * @param {String} api_key 272 | * @returns {Promise} 273 | */ 274 | base64_request(source_image_path, target_image_path, url, api_key ){ 275 | let data = { 276 | source_image: source_image_path, 277 | target_image: target_image_path 278 | } 279 | 280 | return new Promise( async (resolve, reject) => { 281 | try { 282 | const response = await axios.post( url, JSON.stringify(data), { 283 | headers: { 284 | 'Content-Type': 'application/json', 285 | "x-api-key": api_key 286 | }, 287 | }) 288 | 289 | resolve(response) 290 | } catch (error) { 291 | reject(error) 292 | } 293 | }) 294 | } 295 | 296 | 297 | } 298 | 299 | export { verification_endpoints } -------------------------------------------------------------------------------- /face_founder_demo/.gitignore: -------------------------------------------------------------------------------- 1 | # See https://help.github.com/articles/ignoring-files/ for more about ignoring files. 2 | 3 | # dependencies 4 | /node_modules 5 | /.pnp 6 | .pnp.js 7 | 8 | # testing 9 | /coverage 10 | 11 | # production 12 | /build 13 | 14 | # misc 15 | .DS_Store 16 | .env.local 17 | .env.development.local 18 | .env.test.local 19 | .env.production.local 20 | 21 | # IntellijIdea files 22 | *.iml 23 | .idea 24 | out 25 | 26 | npm-debug.log* 27 | yarn-debug.log* 28 | yarn-error.log* 29 | .idea/ 30 | *.iml -------------------------------------------------------------------------------- /face_founder_demo/README.md: -------------------------------------------------------------------------------- 1 | # Face founder Demo 2 | 3 | In this documentation we show how to use our recognition and detection service with pictures. **NOTE:** we have chosen reactjs as it is today's one of the most popular UI library. 4 | 5 | 1. Clone our repository 6 | 2. Enter to ```face_founder_demo``` folder 7 | 8 | ``` cd face_founder_demo``` 9 | 10 | 3. Install packages 11 | 12 | ```npm install``` 13 | 14 | 4. Start project 15 | 16 | ```npm start``` 17 | 18 | 5. Take recognition, detection keys and select folder with images and click ```upload folder``` button. -------------------------------------------------------------------------------- /face_founder_demo/package.json: -------------------------------------------------------------------------------- 1 | { 2 | "name": "face-list", 3 | "version": "0.1.0", 4 | "private": true, 5 | "dependencies": { 6 | "@exadel/compreface-js-sdk": "^1.0.0", 7 | "@testing-library/jest-dom": "^5.11.4", 8 | "@testing-library/react": "^11.1.0", 9 | "@testing-library/user-event": "^12.1.10", 10 | "ansi-html": "0.0.7", 11 | "axios": "^0.25.0", 12 | "bootstrap": "^4.6.0", 13 | "browserslist": "^4.19.1", 14 | "follow-redirects": "^1.14.7", 15 | "glob-parent": "^6.0.2", 16 | "immer": "^9.0.12", 17 | "node-forge": "^1.2.1", 18 | "nth-check": "^2.0.1", 19 | "react": "^17.0.2", 20 | "react-bootstrap": "^1.6.1", 21 | "react-confirm-alert": "^2.7.0", 22 | "react-dom": "^17.0.2", 23 | "react-notifications": "^1.7.2", 24 | "react-scripts": "4.0.3", 25 | "react-toastify": "^7.0.4", 26 | "tar": "^6.1.11", 27 | "tmpl": "^1.0.5", 28 | "url-parse": "^1.5.4", 29 | "web-vitals": "^1.0.1" 30 | }, 31 | "scripts": { 32 | "start": "react-scripts start", 33 | "build": "react-scripts build", 34 | "test": "react-scripts test", 35 | "eject": "react-scripts eject" 36 | }, 37 | "eslintConfig": { 38 | "extends": [ 39 | "react-app", 40 | "react-app/jest" 41 | ] 42 | }, 43 | "browserslist": { 44 | "production": [ 45 | ">0.2%", 46 | "not dead", 47 | "not op_mini all" 48 | ], 49 | "development": [ 50 | "last 1 chrome version", 51 | "last 1 firefox version", 52 | "last 1 safari version" 53 | ] 54 | } 55 | } 56 | -------------------------------------------------------------------------------- /face_founder_demo/public/favicon.ico: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/exadel-inc/compreface-javascript-sdk/95bcd3e9549075334db608717cbd66502cf94152/face_founder_demo/public/favicon.ico -------------------------------------------------------------------------------- /face_founder_demo/public/index.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 12 | 13 | 17 | 18 | 27 | React App 28 | 29 | 30 | 31 |
32 | 42 | 43 | 44 | -------------------------------------------------------------------------------- /face_founder_demo/public/logo192.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/exadel-inc/compreface-javascript-sdk/95bcd3e9549075334db608717cbd66502cf94152/face_founder_demo/public/logo192.png -------------------------------------------------------------------------------- /face_founder_demo/public/logo512.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/exadel-inc/compreface-javascript-sdk/95bcd3e9549075334db608717cbd66502cf94152/face_founder_demo/public/logo512.png -------------------------------------------------------------------------------- /face_founder_demo/public/manifest.json: -------------------------------------------------------------------------------- 1 | { 2 | "short_name": "React App", 3 | "name": "Create React App Sample", 4 | "icons": [ 5 | { 6 | "src": "favicon.ico", 7 | "sizes": "64x64 32x32 24x24 16x16", 8 | "type": "image/x-icon" 9 | }, 10 | { 11 | "src": "logo192.png", 12 | "type": "image/png", 13 | "sizes": "192x192" 14 | }, 15 | { 16 | "src": "logo512.png", 17 | "type": "image/png", 18 | "sizes": "512x512" 19 | } 20 | ], 21 | "start_url": ".", 22 | "display": "standalone", 23 | "theme_color": "#000000", 24 | "background_color": "#ffffff" 25 | } 26 | -------------------------------------------------------------------------------- /face_founder_demo/public/robots.txt: -------------------------------------------------------------------------------- 1 | # https://www.robotstxt.org/robotstxt.html 2 | User-agent: * 3 | Disallow: 4 | -------------------------------------------------------------------------------- /face_founder_demo/src/App.js: -------------------------------------------------------------------------------- 1 | import { CompreFace } from '@exadel/compreface-js-sdk'; 2 | import './custom.css'; 3 | import { useState, useRef, useEffect } from 'react'; 4 | import { Container, Row, Form, Col, ProgressBar, Spinner } from 'react-bootstrap'; 5 | import UploadedImage from './components/UploadedImge'; 6 | import DisplayFoundImages from './components/DisplayFoundImages'; 7 | import DisplayCropedImage from './components/DisplayCropedImages'; 8 | import { confirmAlert } from 'react-confirm-alert'; 9 | import {NotificationContainer, NotificationManager} from 'react-notifications'; 10 | import ShowBadImages from './components/ShowBadImages'; 11 | import 'react-confirm-alert/src/react-confirm-alert.css'; 12 | 13 | function App() { 14 | const [ personsImage, setPersonsImage ] = useState(null); 15 | const [ imageFolder, setImageFolder ] = useState(null); 16 | const [ uploadedImage, setUploadedImage ] = useState(null); 17 | const [ foundFaces, setFoundFaces ] = useState([]); 18 | const [ counter, setCounter ] = useState(0); 19 | const [ recognitionKey, setRecognitionKey ] = useState(null); 20 | const [ detectionKey, setDetectionKey ] = useState(null); 21 | const [ rate, setRate ] = useState(90); 22 | const [ fullData, setFullData ] = useState(null) 23 | const [ similarityRate, setSimilarityRate ] = useState([]) 24 | const [ recognitionError, setRecognitionError ] = useState(false); 25 | const [ recError, setRecError ] = useState([]); 26 | const [ detError, setDetError ] = useState([]); 27 | const [ showInvalidFiles, setVisibilityInvalidFiles ] = useState(false); 28 | const [ bigImage, setBigImages ] = useState([]); 29 | const [ loading, setLoading ] = useState(false); 30 | 31 | useEffect(() => { 32 | if(imageFolder !== null) { 33 | findImages(); 34 | } 35 | }, [imageFolder]); 36 | 37 | const canvasElement = useRef(null); 38 | const imageElement = useRef(null); 39 | 40 | let server = "http://localhost"; 41 | let port = 8000; 42 | 43 | let core = new CompreFace(server, port); 44 | 45 | let recognitionService = core.initFaceRecognitionService(recognitionKey); 46 | let faceCollection = recognitionService.getFaceCollection(); 47 | let detectionService = core.initFaceDetectionService(detectionKey) 48 | 49 | const removeDublicates = (array) =>{ 50 | let tempArray = []; 51 | let saveDublicate = []; 52 | 53 | for(let i = 0; i < array.length; i++){ 54 | if(!saveDublicate.includes(array[i].subject)) tempArray.push([array[i].subject, array[i].similarity]) 55 | 56 | saveDublicate.push(array[i].subject) 57 | } 58 | 59 | return tempArray; 60 | } 61 | 62 | const onRecognitionKeyChange = e => { 63 | setRecognitionKey(e.target.value) 64 | } 65 | 66 | const onDetectionKeyChange = e => { 67 | setDetectionKey(e.target.value) 68 | } 69 | 70 | const onChangePersonPhoto = e => { 71 | if(e.target.files[0]){ 72 | setLoading(true) 73 | setFoundFaces([]); 74 | setCounter(0) 75 | setRecError(prevArray => [...new Set(prevArray)]) 76 | setVisibilityInvalidFiles(true); 77 | 78 | const reader = new FileReader(); 79 | reader.onload = myEvent => { 80 | setUploadedImage( myEvent.target.result ) 81 | let sendata = myEvent.target.result.split(',')[1]; 82 | 83 | recognitionService.recognize(sendata, {limit:10, prediction_count: 100, face_plugins: "age,gender"}) 84 | .then(res => { 85 | setLoading(false) 86 | setFullData(res.result[0].subjects); 87 | let filtered = res.result[0].subjects.filter(subobj => subobj.similarity * 100 >= rate) 88 | let tmp = removeDublicates(filtered) 89 | 90 | setSimilarityRate(tmp) 91 | setRecognitionError(true) 92 | 93 | tmp.forEach(subject => { 94 | for(let i = 0; i < Object.values(imageFolder).length; i++){ 95 | if(subject[0] === imageFolder[i]['name']) setFoundFaces(oldFaces => [...oldFaces, imageFolder[i]]) 96 | } 97 | }) 98 | }) 99 | .catch(error => { 100 | setRecognitionError(false) 101 | setLoading(false) 102 | NotificationManager.error("No face found in given image", "Error", 3000) 103 | }) 104 | } 105 | reader.readAsDataURL(e.target.files[0]) 106 | } 107 | } 108 | 109 | const onRateChanges = e => { 110 | let number = e.target.value; 111 | setFoundFaces([]); 112 | setRate(number); 113 | 114 | let filtered = fullData.filter(subobj => subobj.similarity * 100 >= number); 115 | let tmp = removeDublicates(filtered) 116 | setSimilarityRate(tmp) 117 | 118 | tmp.forEach(subject => { 119 | for(let i = 0; i < Object.values(imageFolder).length; i++ ){ 120 | if(subject[0] === imageFolder[i]['name']) setFoundFaces(oldFaces => [...oldFaces, imageFolder[i]]) 121 | } 122 | }) 123 | } 124 | 125 | const onChangeImageFolder = event => { 126 | setRate(90) 127 | setCounter(0) 128 | setFoundFaces([]) 129 | setImageFolder(event.target.files) 130 | } 131 | 132 | const getBase64 = file => { 133 | return new Promise((resolve, reject) => { 134 | const reader = new FileReader(); 135 | reader.readAsDataURL(file); 136 | 137 | reader.onload = () => resolve({ base64: reader.result, fileName: file.name }); 138 | reader.onerror = error => reject(error); 139 | }); 140 | } 141 | 142 | const drawFace = (ctx, aface, index, fileName, lengthOfDetectedFaces, callback, itaration) => { 143 | ctx.drawImage(imageElement.current, aface.box.x_min, aface.box.y_min, aface.box.x_max - aface.box.x_min, aface.box.y_max - aface.box.y_min, 0, 0, aface.box.x_max - aface.box.x_min, aface.box.y_max - aface.box.y_min); 144 | 145 | canvasElement.current.toBlob( blob => { 146 | faceCollection.add(blob, fileName) 147 | .then(data => { 148 | if(lengthOfDetectedFaces === index + 1){ 149 | itaration++; 150 | setCounter(itaration); 151 | callback(itaration) 152 | ctx.clearRect(0, 0, 700, 850); 153 | } 154 | }) 155 | .catch(error => { 156 | setRecError(prevArray => [...prevArray, fileName]); 157 | if(lengthOfDetectedFaces === index + 1){ 158 | confirmAlert({ 159 | title: 'Recognition error', 160 | message: `Face not found in ${fileName}`, 161 | buttons: [ 162 | { 163 | label: 'OK', 164 | onClick: () => { 165 | itaration++; 166 | setCounter(itaration); 167 | callback(itaration); 168 | ctx.clearRect(0, 0, 700, 850); 169 | 170 | } 171 | } 172 | ], 173 | closeOnClickOutside: false, 174 | closeOnEscape: false 175 | }); 176 | } 177 | }) 178 | }, 'image/jpeg', 0.95) 179 | } 180 | 181 | const findImages = e => { 182 | setDetError([]); 183 | setRecError([]); 184 | setVisibilityInvalidFiles(false); 185 | 186 | let internalCounter = 0; 187 | 188 | const uploadRecursivley = (intarator) => { 189 | // stop processing at the end of file 190 | if(!imageFolder.item(intarator)){ 191 | NotificationManager.success("Compeleted!", "Image processing completed!", 3000) 192 | return null; 193 | } 194 | 195 | // check size of image 196 | if(imageFolder.item(intarator).size < 5000000){ 197 | // get base64 format of image 198 | getBase64(imageFolder.item(intarator)) 199 | .then(customData => { 200 | setPersonsImage(customData.base64) 201 | let sendata = customData.base64.split(',')[1]; 202 | let ctx = canvasElement.current.getContext('2d'); 203 | 204 | detectionService.detect(sendata) 205 | .then(res => { 206 | res.result.forEach((aface, index) => { 207 | drawFace(ctx, aface, index, customData.fileName, res.result.length, uploadRecursivley, intarator) 208 | }) 209 | }) 210 | .catch(error => { 211 | setDetError(prevArray => [...prevArray, customData.fileName]) 212 | confirmAlert({ 213 | title: 'Detection error', 214 | message: `Face not found in ${customData.fileName}`, 215 | buttons: [ 216 | { 217 | label: 'OK', 218 | onClick: () => { 219 | intarator++; 220 | setCounter(intarator); 221 | uploadRecursivley(intarator) 222 | } 223 | } 224 | ], 225 | closeOnClickOutside: false, 226 | closeOnEscape: false 227 | }); 228 | }) 229 | }) 230 | .catch(error => console.log(error)) 231 | }else { 232 | setBigImages(prevArray => [...prevArray, imageFolder.item(intarator).name]) 233 | intarator++; 234 | setCounter(intarator) 235 | uploadRecursivley(intarator); 236 | } 237 | } 238 | 239 | uploadRecursivley(internalCounter) 240 | } 241 | 242 | return ( 243 | 244 |
245 | 246 | 247 | 248 | Recognition key 249 | 250 | 251 | 252 | 253 | 254 | Detection key 255 | 256 | 257 | 258 | 259 | 260 | 261 | 262 | 263 | 264 | 265 | 266 | 267 | 268 | 269 | 270 | Similarity rate is {rate}% 271 | 272 | 273 | 274 | 275 |
276 | 277 | 278 | { uploadedImage && } 279 | { showInvalidFiles &&
280 | { recError.length && } 281 | { detError.length && } 282 | { bigImage.length && } 283 |
} 284 | 285 | 286 | { loading &&
287 | 288 | Loading... 289 | 290 |
} 291 | 292 | { foundFaces.length > 0 && } 293 | 294 | 295 | { counter > 0 && 296 | 297 | 298 | { counter === Object.values(imageFolder).length ?
299 | Done you can select persons image 300 |
:
Processing images
} 301 | 302 | } 303 | { personsImage && } 304 | 305 | 306 | ); 307 | } 308 | 309 | export default App; 310 | -------------------------------------------------------------------------------- /face_founder_demo/src/App.test.js: -------------------------------------------------------------------------------- 1 | import { render, screen } from '@testing-library/react'; 2 | import App from './App'; 3 | 4 | test('renders learn react link', () => { 5 | render(); 6 | const linkElement = screen.getByText(/learn react/i); 7 | expect(linkElement).toBeInTheDocument(); 8 | }); 9 | -------------------------------------------------------------------------------- /face_founder_demo/src/assets/functions.js: -------------------------------------------------------------------------------- 1 | export const common_functions = { 2 | removeDublicates: function (array){ 3 | let tempArray = []; 4 | let saveDublicate = []; 5 | 6 | for(let i = 0; i < array.length; i++){ 7 | if(!saveDublicate.includes(array[i].subject)) tempArray.push([array[i].subject, array[i].similarity]) 8 | 9 | saveDublicate.push(array[i].subject) 10 | } 11 | 12 | return tempArray; 13 | } 14 | } -------------------------------------------------------------------------------- /face_founder_demo/src/components/CustomToast.jsx: -------------------------------------------------------------------------------- 1 | import React from 'react'; 2 | import { Toast } from 'react-bootstrap'; 3 | 4 | const CustomToast = ({ errorType, errorName, imageName }) => { 5 | return ( 6 | 7 | 8 | {errorType} 9 | 10 | 11 | {imageName} 12 |
13 | {errorName} 14 |
15 | 16 | 17 | ) 18 | } 19 | 20 | export default CustomToast; 21 | 22 | 23 | // onClose={ () => { setDetectionError(detectionError.splice(index, 0, undefined)) }} -------------------------------------------------------------------------------- /face_founder_demo/src/components/DisplayCropedImages.jsx: -------------------------------------------------------------------------------- 1 | import React from 'react'; 2 | import { Container, Row, Col, Image } from 'react-bootstrap'; 3 | 4 | const DisplayCropedImage = ({ personsImage, imageElement, canvasElement }) => { 5 | return ( 6 | 7 | 8 | 9 | 10 | 11 | 12 | Exadel 13 | 14 | 15 | 16 | ) 17 | } 18 | 19 | export default DisplayCropedImage; -------------------------------------------------------------------------------- /face_founder_demo/src/components/DisplayFoundImages.jsx: -------------------------------------------------------------------------------- 1 | import React from 'react'; 2 | import { Container, Row, Col, Image } from 'react-bootstrap'; 3 | import '../custom.css'; 4 | 5 | const DisplayFoundImages = ({ foundFaces, similarityRate }) => { 6 | return ( 7 | <> 8 |
9 | Matched image(s) 10 |
11 | 12 | 13 | { foundFaces.map((faceFile, index) => 14 |
{similarityRate[index][1]}
15 | 16 | ) } 17 | 18 | 19 | 20 | ) 21 | } 22 | 23 | export default DisplayFoundImages; -------------------------------------------------------------------------------- /face_founder_demo/src/components/ShowBadImages.jsx: -------------------------------------------------------------------------------- 1 | import React from 'react'; 2 | 3 | const ShowBadImages = props => { 4 | const { data, badTitle } = props; 5 | return ( 6 |
7 | 8 |
    9 | {data.map( (fileName, index) => ( 10 |
  • {fileName}
    • ))} 11 |
12 |
13 | ) 14 | } 15 | 16 | export default ShowBadImages; -------------------------------------------------------------------------------- /face_founder_demo/src/components/UploadedImge.jsx: -------------------------------------------------------------------------------- 1 | import React from 'react'; 2 | import { Container, Row ,Col, Image} from 'react-bootstrap'; 3 | 4 | const UploadedImage = ({ uploadedImage }) => { 5 | return ( 6 | <> 7 |
8 | Uploaded image 9 |
10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | ) 19 | } 20 | 21 | export default UploadedImage; -------------------------------------------------------------------------------- /face_founder_demo/src/custom.css: -------------------------------------------------------------------------------- 1 | .custom-container { 2 | padding: 15px; 3 | width: 75% !important; 4 | background-color: lightcyan; 5 | } 6 | 7 | .custom-form { 8 | border: 1px solid #fff; 9 | margin-top: 15px; 10 | padding: 15px; 11 | border-radius: 15px; 12 | box-shadow: 0 0 1rem 0 rgba(0, 0, 0, 0.2); 13 | overflow: hidden; 14 | position: relative; 15 | } 16 | 17 | .custom-form::before{ 18 | background-color: rgba(255, 255, 255, 0.3); 19 | backdrop-filter: blur(10px) saturate(100%) contrast(45%) brightness(130%); 20 | content: ''; 21 | height: 100%; 22 | left: 0; 23 | top: 0; 24 | position: absolute; 25 | width: 100%; 26 | } 27 | 28 | .custom-image{ 29 | display: block; 30 | max-width:100%; 31 | width: auto; 32 | height: auto; 33 | margin-top: 15px; 34 | } 35 | 36 | .full-width-image { 37 | width: 100%; 38 | margin-top: 15px; 39 | } 40 | 41 | .uploaded-image{ 42 | width: 200px; 43 | height: 200px; 44 | } 45 | 46 | .custom-logo{ 47 | width: 100px; 48 | height: 100px; 49 | -webkit-animation:spin 2s linear infinite; 50 | -moz-animation:spin 2s linear infinite; 51 | animation:spin 2s linear infinite; 52 | } 53 | 54 | .found-images { 55 | margin-top: 20px; 56 | background: lightcyan; 57 | border: 2px solid lightblue; 58 | font-weight: bold; 59 | padding: 5px; 60 | border-radius: 5px; 61 | } 62 | 63 | .found-images-container { 64 | background-color: lightblue; 65 | padding: '5px'; 66 | border-radius: '3px'; 67 | width: 'fit-content'; 68 | } 69 | 70 | .marginTop-15{ 71 | margin-top: 15px; 72 | } 73 | 74 | .toast-container { 75 | position: absolute; 76 | top: 5px; 77 | right: 37px; 78 | z-index: 1111; 79 | } 80 | 81 | .bigText { 82 | margin-top: 5px; 83 | font-size: large; 84 | font-weight: bold 85 | } 86 | 87 | @-moz-keyframes spin { 100% { -moz-transform: rotate(360deg); } } 88 | @-webkit-keyframes spin { 100% { -webkit-transform: rotate(360deg); } } 89 | @keyframes spin { 100% { -webkit-transform: rotate(360deg); transform:rotate(360deg); } } -------------------------------------------------------------------------------- /face_founder_demo/src/image/exadel.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/exadel-inc/compreface-javascript-sdk/95bcd3e9549075334db608717cbd66502cf94152/face_founder_demo/src/image/exadel.jpg -------------------------------------------------------------------------------- /face_founder_demo/src/index.js: -------------------------------------------------------------------------------- 1 | import React from 'react'; 2 | import ReactDOM from 'react-dom'; 3 | import App from './App'; 4 | import 'bootstrap/dist/css/bootstrap.min.css'; 5 | import 'react-notifications/lib/notifications.css'; 6 | 7 | ReactDOM.render( 8 | 9 | 10 | , 11 | document.getElementById('root') 12 | ); 13 | -------------------------------------------------------------------------------- /face_founder_demo/src/setupTests.js: -------------------------------------------------------------------------------- 1 | // jest-dom adds custom jest matchers for asserting on DOM nodes. 2 | // allows you to do things like: 3 | // expect(element).toHaveTextContent(/react/i) 4 | // learn more: https://github.com/testing-library/jest-dom 5 | import '@testing-library/jest-dom'; 6 | -------------------------------------------------------------------------------- /functions/index.js: -------------------------------------------------------------------------------- 1 | /* 2 | * Copyright (c) 2020 the original author or authors 3 | * 4 | * Licensed under the Apache License, Version 2.0 (the "License"); 5 | * you may not use this file except in compliance with the License. 6 | * You may obtain a copy of the License at 7 | * 8 | * https://www.apache.org/licenses/LICENSE-2.0 9 | * 10 | * Unless required by applicable law or agreed to in writing, software 11 | * distributed under the License is distributed on an "AS IS" BASIS, 12 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express 13 | * or implied. See the License for the specific language governing 14 | * permissions and limitations under the License. 15 | */ 16 | 17 | // Collection of common functions that used by almost all services 18 | const common_functions = { 19 | /** 20 | * Construct full url from given parameters 21 | * @returns {String} 22 | */ 23 | get_full_url(base_url, server, port) { 24 | return `${server}:${port}/${base_url}`; 25 | }, 26 | 27 | /** 28 | * Check url 29 | * @param {String} image_url 30 | * @returns {Boolean} 31 | */ 32 | isUrl(image_url){ 33 | // regex to check passed parameter is url or relative path 34 | let urlRegEX = /^(?:http(s)?:\/\/)?[\w.-]+(?:\.[\w\.-]+)+[\w\-\._~:/?#[\]@!\$&'\(\)\*\+,;=.]+$/; 35 | let isUrl = urlRegEX.test(image_url); 36 | 37 | return isUrl; 38 | }, 39 | 40 | /** 41 | * Check whether string is base64 42 | * @param {String} path 43 | * @returns 44 | */ 45 | isBase64(image_data){ 46 | let base64regex = /^([A-Za-z0-9+/]{4})*([A-Za-z0-9+/]{3}=|[A-Za-z0-9+/]{2}==)?$/; 47 | let isBase64 = base64regex.test(image_data); 48 | 49 | return isBase64; 50 | }, 51 | 52 | /** 53 | * Check whether string is relative path or not 54 | * @param {String} path 55 | * @returns 56 | */ 57 | isPathRelative(path) { 58 | if(typeof path !== 'string') return false; 59 | let isAbsolute = /^([A-Za-z]:|\.)/.test(path); 60 | 61 | return isAbsolute; 62 | }, 63 | 64 | /** 65 | * Add extra options to url 66 | * @param {String} url 67 | * @param {Object} globalOptions 68 | * @param {Object} localOptions 69 | * @param {Object} required_parameters 70 | * @returns {String} 71 | */ 72 | add_options_to_url(url, globalOptions, localOptions, required_parameters){ 73 | // merge options passed by localy and globally NOTE: global options will override local on if same value passed from both of them 74 | let uniqueOptions = {...localOptions, ...globalOptions}; 75 | let isThereAnyOptions = Object.keys(uniqueOptions); 76 | let isLimitOptionExist = false; 77 | 78 | // check whether any parameters passed 79 | if(isThereAnyOptions.length > 0){ 80 | // check limit parameter passed and it is allowed for particular endpoint (ex: it is not requrid for add()) 81 | if(uniqueOptions['limit'] >= 0 && required_parameters['limit']){ 82 | isLimitOptionExist = true; 83 | url = `${url}?limit=${uniqueOptions['limit']}` 84 | } 85 | 86 | // check det_prob_threshold parameter passed and is it allowed for particular endpoint 87 | if(uniqueOptions['det_prob_threshold'] >= 0 && required_parameters['det_prob_threshold']){ 88 | url = `${url}${isLimitOptionExist ? '&' : '?'}det_prob_threshold=${uniqueOptions['det_prob_threshold']}` 89 | } 90 | 91 | // check prediction_count passed and is it allowed for particular endpoint 92 | if(uniqueOptions['prediction_count'] >= 0 && required_parameters['prediction_count']){ 93 | url = `${url}${isLimitOptionExist ? '&' : '?'}prediction_count=${uniqueOptions['prediction_count']}` 94 | } 95 | 96 | // check face_plugins passed and is it allowed for particular endpoint 97 | if(uniqueOptions['face_plugins'] && required_parameters['face_plugins']){ 98 | url = `${url}${isLimitOptionExist ? '&' : '?'}face_plugins=${uniqueOptions['face_plugins']}` 99 | } 100 | 101 | // check status passed and is it allowed for particular endpoint 102 | if(uniqueOptions['status'] && required_parameters['status']){ 103 | url = `${url}${isLimitOptionExist ? '&' : '?'}status=${uniqueOptions['status']}` 104 | } 105 | } 106 | 107 | return url; 108 | } 109 | } 110 | 111 | export { common_functions } -------------------------------------------------------------------------------- /index.js: -------------------------------------------------------------------------------- 1 | /* 2 | * Copyright (c) 2020 the original author or authors 3 | * 4 | * Licensed under the Apache License, Version 2.0 (the "License"); 5 | * you may not use this file except in compliance with the License. 6 | * You may obtain a copy of the License at 7 | * 8 | * https://www.apache.org/licenses/LICENSE-2.0 9 | * 10 | * Unless required by applicable law or agreed to in writing, software 11 | * distributed under the License is distributed on an "AS IS" BASIS, 12 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express 13 | * or implied. See the License for the specific language governing 14 | * permissions and limitations under the License. 15 | */ 16 | import { CompreFace } from './core/compre_face.js'; 17 | 18 | export { CompreFace } -------------------------------------------------------------------------------- /package.json: -------------------------------------------------------------------------------- 1 | { 2 | "name": "@exadel/compreface-js-sdk", 3 | "version": "1.0.0", 4 | "license": "Apache-2.0", 5 | "description": "JavaScript SDK for CompreFace - free and open-source face recognition system from Exadel", 6 | "main": "index.js", 7 | "type": "module", 8 | "types":"compreface.d.ts", 9 | "scripts": { 10 | "test": "node --experimental-vm-modules node_modules/jest/bin/jest.js --coverage" 11 | }, 12 | "repository": { 13 | "type": "git", 14 | "url": "git+https://github.com/exadel-inc/compreface-javascript-sdk.git" 15 | }, 16 | "keywords": [ 17 | "CompreFace", 18 | "Face Recognition", 19 | "Face Detection", 20 | "Face Verification", 21 | "Face Identification", 22 | "Age Recognition", 23 | "Gender Recognition", 24 | "Mask Detection", 25 | "Computer Vision", 26 | "SDK" 27 | ], 28 | "contributors": [ 29 | { 30 | "name": "Dostonbek Oripjonov", 31 | "email": "doripjonov@exadel.com" 32 | }, 33 | { 34 | "name": "Serhii Pospielov", 35 | "email": "spospielov@exadel.com" 36 | }, 37 | { 38 | "name": "Volodymyr Vasko", 39 | "email": "vvasko@exadel.com" 40 | }, 41 | { 42 | "name": "Saba Mchedlidze", 43 | "email": "smchedlidze@exadel.com" 44 | } 45 | ], 46 | "bugs": { 47 | "url": "https://github.com/exadel-inc/compreface-javascript-sdk/issues" 48 | }, 49 | "homepage": "https://exadel.com/solutions/compreface/", 50 | "dependencies": { 51 | "axios": "^0.21.1", 52 | "form-data": "^4.0.0" 53 | }, 54 | "devDependencies": { 55 | "jest": "^26.6.0" 56 | } 57 | } 58 | -------------------------------------------------------------------------------- /services/detection_service.js: -------------------------------------------------------------------------------- 1 | /* 2 | * Copyright (c) 2020 the original author or authors 3 | * 4 | * Licensed under the Apache License, Version 2.0 (the "License"); 5 | * you may not use this file except in compliance with the License. 6 | * You may obtain a copy of the License at 7 | * 8 | * https://www.apache.org/licenses/LICENSE-2.0 9 | * 10 | * Unless required by applicable law or agreed to in writing, software 11 | * distributed under the License is distributed on an "AS IS" BASIS, 12 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express 13 | * or implied. See the License for the specific language governing 14 | * permissions and limitations under the License. 15 | */ 16 | import { common_functions } from '../functions/index.js'; 17 | import { upload } from '../endpoints/upload.js'; 18 | 19 | class DetectionService { 20 | constructor(server, port, options, key){ 21 | this.server = server; 22 | this.port = port; 23 | this.options = options; 24 | this.key = key; 25 | this.base_url = 'api/v1/detection/detect'; 26 | } 27 | 28 | /** 29 | * Detect faces from given image 30 | * @param {String} image_path 31 | * @param {Object} options 32 | * @returns 33 | */ 34 | detect(image_path, localOptions){ 35 | const { get_full_url, add_options_to_url, isUrl, isPathRelative } = common_functions; 36 | // add_options_to_url() adds this parameter to url if user passes some value as option otherwise function ignores this parameter 37 | let required_url_parameters = { 38 | limit: true, 39 | det_prob_threshold: true, 40 | face_plugins: true, 41 | status: true 42 | }; 43 | let full_url = get_full_url(this.base_url, this.server, this.port) 44 | // add parameters to basic url 45 | let url = add_options_to_url(full_url, this.options, localOptions, required_url_parameters); 46 | 47 | return new Promise((resolve, reject) => { 48 | upload(image_path, url, this.key) 49 | .then(response => { 50 | resolve(response) 51 | }) 52 | .catch(error => { 53 | reject(error) 54 | }) 55 | }) 56 | } 57 | } 58 | 59 | export { DetectionService } -------------------------------------------------------------------------------- /services/recognition_service.js: -------------------------------------------------------------------------------- 1 | /* 2 | * Copyright (c) 2020 the original author or authors 3 | * 4 | * Licensed under the Apache License, Version 2.0 (the "License"); 5 | * you may not use this file except in compliance with the License. 6 | * You may obtain a copy of the License at 7 | * 8 | * https://www.apache.org/licenses/LICENSE-2.0 9 | * 10 | * Unless required by applicable law or agreed to in writing, software 11 | * distributed under the License is distributed on an "AS IS" BASIS, 12 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express 13 | * or implied. See the License for the specific language governing 14 | * permissions and limitations under the License. 15 | */ 16 | import { recognition_endpoints } from '../endpoints/recognition_endpoints.js'; 17 | import { common_functions } from '../functions/index.js'; 18 | import { subject_endpoints } from '../endpoints/subject_endpoints.js'; 19 | import { upload } from '../endpoints/upload.js'; 20 | 21 | class RecognitionService { 22 | constructor(server, port, options, key){ 23 | this.server = server; 24 | this.port = port; 25 | this.options = options; 26 | this.key = key; 27 | this.base_url = 'api/v1/recognition/faces'; 28 | this.recognize_base_url = "api/v1/recognition/recognize"; 29 | } 30 | 31 | /** 32 | * Recognize face(s) from given image 33 | * @param {String} image_path 34 | * @returns {Promise} 35 | */ 36 | recognize(image_path, options){ 37 | const{ get_full_url, add_options_to_url, isUrl, isPathRelative } = common_functions; 38 | // add_options_to_url() adds this parameter to url if user passes some value as option otherwise function ignores this parameter 39 | let required_url_parameters = { 40 | limit: true, 41 | det_prob_threshold: true, 42 | prediction_count: true, 43 | face_plugins: true, 44 | status: true 45 | }; 46 | 47 | if (!options.limit) { 48 | options = { ...options, limit: 0 }; 49 | } 50 | 51 | // add parameters to basic url 52 | let full_url = get_full_url(this.recognize_base_url, this.server, this.port) 53 | let url = add_options_to_url(full_url, this.options, options, required_url_parameters); 54 | 55 | return new Promise((resolve, reject) => { 56 | upload(image_path, url, this.key) 57 | .then(response => { 58 | resolve(response) 59 | }) 60 | .catch(error => { 61 | reject(error) 62 | }) 63 | 64 | }) 65 | } 66 | 67 | /** 68 | * Contains functions related to face collection 69 | * @returns {Object} 70 | */ 71 | getFaceCollection(){ 72 | const{ get_full_url, add_options_to_url, isUrl, isPathRelative } = common_functions; 73 | 74 | let url = get_full_url(this.base_url, this.server, this.port) 75 | let key = this.key; 76 | let that = this; 77 | 78 | const faceCollectionFunctions = { 79 | /** 80 | * View the list of images in face collection 81 | * @returns {Promise} 82 | */ 83 | list(){ 84 | return new Promise((resolve, reject) => { 85 | recognition_endpoints.list_request(url, key) 86 | .then(response => { 87 | resolve(response.data) 88 | }) 89 | .catch(error => { 90 | reject(error) 91 | }) 92 | }) 93 | }, 94 | 95 | /** 96 | * Add image (with subject) to face collection 97 | * @param {String} image_path 98 | * @param {String} subject 99 | * @returns {Promise} 100 | */ 101 | add(image_path, subject, options){ 102 | // add_options_to_url() adds this parameter to url if user passes some value as option otherwise function ignores this parameter 103 | let required_url_parameters = { det_prob_threshold: true }; 104 | 105 | // add parameters to basic url 106 | let url = get_full_url(that.base_url, that.server, that.port) 107 | url = `${url}?subject=${subject}` 108 | url = add_options_to_url(url, that.options, options, required_url_parameters); 109 | 110 | return new Promise((resolve, reject) => { 111 | upload(image_path, url, key) 112 | .then(response => { 113 | resolve(response) 114 | }) 115 | .catch(error => { 116 | reject(error) 117 | }) 118 | }) 119 | }, 120 | 121 | /** 122 | * Verify face from image 123 | * @param {String} image_path 124 | * @param {String} image_id 125 | * @returns {Promise} 126 | */ 127 | verify(image_path, image_id, options){ 128 | // add_options_to_url() adds this parameter to url if user passes some value as option otherwise function ignores this parameter 129 | let required_url_parameters = { 130 | limit: true, 131 | det_prob_threshold: true, 132 | face_plugins: true, 133 | status: true 134 | }; 135 | // add parameters to basic url 136 | url = `${url}/${image_id}/verify`; 137 | url = add_options_to_url(url, that.options, options, required_url_parameters); 138 | 139 | return new Promise((resolve, reject) => { 140 | upload(image_path, url, key) 141 | .then(response => { 142 | resolve(response) 143 | }) 144 | .catch(error => { 145 | reject(error) 146 | }) 147 | }) 148 | }, 149 | 150 | /** 151 | * Delete image by id 152 | * @param {String} image_id 153 | * @returns {Promise} 154 | */ 155 | delete(image_id){ 156 | url = `${url}/${image_id}`; 157 | 158 | return new Promise((resolve, reject) => { 159 | recognition_endpoints.delete_request(url, key,) 160 | .then(response => { 161 | resolve(response.data); 162 | }) 163 | .catch(error => { 164 | reject(error); 165 | }) 166 | }) 167 | }, 168 | 169 | /** 170 | * Delete multiple images 171 | * @param {String[]} image_ids 172 | * @returns {Promise} 173 | */ 174 | delete_multiple_images(image_ids) { 175 | url = `${url}/delete`; 176 | 177 | return new Promise((resolve, reject) => { 178 | recognition_endpoints.delete_multiple(url, key, image_ids) 179 | .then((response) => { 180 | resolve(response.data); 181 | }) 182 | .catch((error) => { 183 | reject(error); 184 | }); 185 | }); 186 | }, 187 | 188 | /** 189 | * Delete image by subject 190 | * @param {String} subject 191 | * @returns {Promise} 192 | */ 193 | delete_all_subject(subject){ 194 | url = `${url}?subject=${subject}`; 195 | 196 | return new Promise((resolve, reject) => { 197 | recognition_endpoints.delete_request(url, key) 198 | .then(response => { 199 | resolve(response.data); 200 | }) 201 | .catch(error => { 202 | reject(error); 203 | }) 204 | }) 205 | }, 206 | 207 | /** 208 | * Delete all images in face collection 209 | * @returns {Promise} 210 | */ 211 | delete_all(){ 212 | return new Promise((resolve, reject) => { 213 | recognition_endpoints.delete_request(url, key) 214 | .then(response => { 215 | resolve(response.data); 216 | }) 217 | .catch(error => { 218 | reject(error); 219 | }) 220 | }) 221 | } 222 | } 223 | 224 | return faceCollectionFunctions; 225 | } 226 | 227 | getSubjects(){ 228 | const { get_full_url } = common_functions; 229 | const { list, add, rename, deleteSubject } = subject_endpoints; 230 | 231 | let base_subject_url = this.base_url.replace('faces', 'subjects'); 232 | let url = get_full_url(base_subject_url, this.server, this.port) 233 | let key = this.key; 234 | 235 | const subjectFunctions = { 236 | /** 237 | * List the subjects 238 | * @returns {Promise} 239 | */ 240 | list(){ 241 | return new Promise((resolve, reject) => { 242 | list(url, key) 243 | .then(response => { 244 | resolve(response.data) 245 | }) 246 | .catch(error => { 247 | reject(error) 248 | }) 249 | }) 250 | }, 251 | 252 | /** 253 | * Add subject 254 | * @param {String} subject 255 | * @returns {Promise} 256 | */ 257 | add(subject){ 258 | return new Promise((resolve, reject) => { 259 | add(subject, url, key) 260 | .then(response => { 261 | resolve(response.data) 262 | }) 263 | .catch(error => { 264 | reject(error) 265 | }) 266 | }) 267 | }, 268 | 269 | /** 270 | * Rename the subject 271 | * @param {String} presentSubjectName 272 | * @param {String} newSubjectName 273 | * @returns {Promise} 274 | */ 275 | rename(presentSubjectName, newSubjectName ){ 276 | url = `${url}/${presentSubjectName}` 277 | return new Promise((resolve, reject) => { 278 | rename(newSubjectName, url, key) 279 | .then(response => { 280 | resolve(response.data) 281 | }) 282 | .catch(error => { 283 | reject(error) 284 | }) 285 | }) 286 | }, 287 | 288 | /** 289 | * Delete a subject 290 | * @param {String} subject 291 | * @returns {Promise} 292 | */ 293 | delete(subject){ 294 | url = `${url}/${subject}` 295 | return new Promise((resolve, reject) => { 296 | deleteSubject(url, key) 297 | .then(response => { 298 | resolve(response.data) 299 | }) 300 | .catch(error => { 301 | reject(error) 302 | }) 303 | }) 304 | }, 305 | 306 | /** 307 | * Delete all subject 308 | * @param {String} subject 309 | * @returns {Promise} 310 | */ 311 | deleteAll(){ 312 | return new Promise((resolve, reject) => { 313 | deleteSubject(url, key) 314 | .then(response => { 315 | resolve(response.data) 316 | }) 317 | .catch(error => { 318 | reject(error) 319 | }) 320 | }) 321 | }, 322 | } 323 | 324 | return subjectFunctions; 325 | } 326 | } 327 | 328 | export { RecognitionService } -------------------------------------------------------------------------------- /services/verification_service.js: -------------------------------------------------------------------------------- 1 | /* 2 | * Copyright (c) 2020 the original author or authors 3 | * 4 | * Licensed under the Apache License, Version 2.0 (the "License"); 5 | * you may not use this file except in compliance with the License. 6 | * You may obtain a copy of the License at 7 | * 8 | * https://www.apache.org/licenses/LICENSE-2.0 9 | * 10 | * Unless required by applicable law or agreed to in writing, software 11 | * distributed under the License is distributed on an "AS IS" BASIS, 12 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express 13 | * or implied. See the License for the specific language governing 14 | * permissions and limitations under the License. 15 | */ 16 | 17 | import { verification_endpoints } from '../endpoints/verification_endpoints.js' 18 | import { common_functions } from '../functions/index.js'; 19 | 20 | class VerificationService { 21 | constructor(server, port, options, key){ 22 | this.server = server; 23 | this.port = port; 24 | this.options = options; 25 | this.key = key; 26 | this.base_url = 'api/v1/verification/verify'; 27 | } 28 | 29 | verify(source_image_path, target_image_path, options){ 30 | const { get_full_url, add_options_to_url, isUrl, isPathRelative, isBase64 } = common_functions; 31 | // add extra parameter(s) name with true value if it is referenced in API documentation for particular endpoint 32 | // add_options_to_url() adds this parameter to url if user passes some value as option otherwise function ignores this parameter 33 | let required_url_parameters = { 34 | limit: true, 35 | det_prob_threshold: true, 36 | face_plugins: true, 37 | status: true 38 | }; 39 | 40 | let full_url = get_full_url(this.base_url, this.server, this.port) 41 | // add parameters to basic url 42 | let url = add_options_to_url(full_url, this.options, options, required_url_parameters); 43 | 44 | let isSourceImageUrl = isUrl(source_image_path); 45 | let isTargetImageUrl = isUrl(target_image_path); 46 | 47 | let isSourceRelativePath = isPathRelative(source_image_path); 48 | let isTargetRelativePath = isPathRelative(target_image_path); 49 | 50 | let isSourceBase64 = isBase64(source_image_path); 51 | let isTargetBase64 = isBase64(target_image_path); 52 | 53 | return new Promise((resolve, reject) => { 54 | if(isSourceImageUrl){ 55 | if(isTargetImageUrl){ 56 | verification_endpoints.both_url_request(source_image_path, target_image_path, url, this.key) 57 | .then(response => { 58 | resolve(response.data) 59 | }) 60 | .catch(error => { 61 | reject(error) 62 | }) 63 | }else if(isTargetRelativePath){ 64 | verification_endpoints.one_url_request(source_image_path, isSourceImageUrl, target_image_path, url, this.key) 65 | .then(response => { 66 | resolve(response.data) 67 | }) 68 | .catch(error => { 69 | reject(error) 70 | }) 71 | }else { 72 | verification_endpoints.url_blob_request(source_image_path, isSourceImageUrl, target_image_path, url, this.key) 73 | .then(response => { 74 | resolve(response.data) 75 | }) 76 | .catch(error => { 77 | reject(error) 78 | }) 79 | } 80 | }else if(isSourceRelativePath){ 81 | if(isTargetImageUrl){ 82 | console.log("hey I'm here", isSourceImageUrl) 83 | verification_endpoints.one_url_request(source_image_path, isSourceImageUrl, target_image_path, url, this.key) 84 | .then(response => { 85 | resolve(response.data) 86 | }) 87 | .catch(error => { 88 | reject(error) 89 | }) 90 | }else if(isTargetRelativePath){ 91 | verification_endpoints.verify_face_request(source_image_path, target_image_path, url, this.key) 92 | .then(response => { 93 | resolve(response.data) 94 | }) 95 | .catch(error => { 96 | reject(error) 97 | }) 98 | }else { 99 | verification_endpoints.one_blob_request(source_image_path, false, target_image_path, url, this.key) 100 | .then(response => { 101 | resolve(response.data) 102 | }) 103 | .catch(error => { 104 | reject(error) 105 | }) 106 | } 107 | }else if(isSourceBase64){ 108 | verification_endpoints.base64_request(source_image_path, target_image_path, url, this.key) 109 | .then(response => { 110 | resolve(response.data) 111 | }) 112 | .catch(error => { 113 | reject(error) 114 | }) 115 | }else { 116 | if(isTargetImageUrl){ 117 | verification_endpoints.url_blob_request(source_image_path, isSourceImageUrl, target_image_path, url, this.key) 118 | .then(response => { 119 | resolve(response.data) 120 | }) 121 | .catch(error => { 122 | reject(error) 123 | }) 124 | }else if(isTargetRelativePath){ 125 | verification_endpoints.one_blob_request(source_image_path, true, target_image_path, url, this.key) 126 | .then(response => { 127 | resolve(response.data) 128 | }) 129 | .catch(error => { 130 | reject(error) 131 | }) 132 | }else { 133 | verification_endpoints.both_blob_request(source_image_path, target_image_path, url, this.key) 134 | .then(response => { 135 | resolve(response.data) 136 | }) 137 | .catch(error => { 138 | reject(error) 139 | }) 140 | } 141 | } 142 | }) 143 | } 144 | } 145 | 146 | export { VerificationService } -------------------------------------------------------------------------------- /webcam_demo/.gitignore: -------------------------------------------------------------------------------- 1 | # See https://help.github.com/articles/ignoring-files/ for more about ignoring files. 2 | 3 | # dependencies 4 | /node_modules 5 | /.pnp 6 | .pnp.js 7 | 8 | # testing 9 | /coverage 10 | 11 | # production 12 | /build 13 | 14 | # misc 15 | .DS_Store 16 | .env.local 17 | .env.development.local 18 | .env.test.local 19 | .env.production.local 20 | 21 | npm-debug.log* 22 | yarn-debug.log* 23 | yarn-error.log* 24 | -------------------------------------------------------------------------------- /webcam_demo/README.md: -------------------------------------------------------------------------------- 1 | # Webcam Demo 2 | 3 | In this documentation we show how to use our detection service with webcamera. **NOTE:** we have chosen reactjs as it is today's one of the most popular UI library. 4 | 5 | 1. Clone our repository 6 | 2. Enter to ```webcam_demo``` folder and install packages 7 | 8 | ``` cd webcam_demo``` 9 | 10 | ```npm install``` 11 | 12 | 3. Change detection API key inside ```src > App.js``` line ```40``` 13 | 14 | 4. Start project 15 | 16 | ```npm start``` 17 | 18 | 5. Click ```video start``` button to start your webcamera 19 | 20 | *OR follow below instructions to create project by yourself* 21 | 22 | 1. Install reactjs 23 | 24 | ```npx create-react-app compreface-demo``` 25 | 26 | 2. Enter to project folder 27 | 28 | ```cd compreface-demo``` 29 | 30 | 3. Install CompreFace SDK 31 | 32 | ```npm i @exadel/compreface-js-sdk``` 33 | 34 | 4. Create your component and copy/past following code. NOTE: We have used functional component and video tag used to connect to your webcamera and canvas tags used for drawing square and some extra data. 35 | 36 | ``` 37 | import { useRef } from 'react' 38 | import { CompreFace } from '@exadel/compreface-js-sdk'; 39 | 40 | function App() { 41 | const videoTag = useRef(null); 42 | const canvas1 = useRef(null); 43 | const canvas2 = useRef(null); 44 | const canvas3 = useRef(null); 45 | 46 | const handleVideoStart = () => { 47 | console.log("Click is working") 48 | } 49 | 50 | return ( 51 |
52 | 53 | 54 | 55 | 56 | 57 |
58 | 59 |
60 |
61 | ); 62 | } 63 | 64 | export default App; 65 | ``` 66 | 67 | 5. Add ability to start webcamera when user clicks "Start video" button. Put following code into ```handleVideoStart()``` function. ```Navigator.mediaDevices``` is built in read-only property of browser which enables user to access webcamera. 68 | 69 | ``` 70 | navigator.mediaDevices.getUserMedia({ video: true}) 71 | .then(stream => videoTag.current.srcObject = stream) 72 | .catch( error => console.error(error) ) 73 | ``` 74 | 75 | 6. Initialize CompreFace instances and catch video event which fired when webcamera starts working. Your code should look like as following example. ```Play``` event listener fires when webcamera starts working and this is place where we need to use CompreFace SDK. NOTE: ```next_frame``` custom event created in order to create kind of recursion effect when we drawing square on face. 76 | ``` 77 | import { useRef } from 'react' 78 | import { CompreFace } from '@exadel/compreface-js-sdk'; 79 | 80 | function App() { 81 | const videoTag = useRef(null); 82 | const canvas1 = useRef(null); 83 | const canvas2 = useRef(null); 84 | const canvas3 = useRef(null); 85 | 86 | const handleVideoStart = () => { 87 | navigator.mediaDevices.getUserMedia({ video: true}) 88 | .then(stream => videoTag.current.srcObject = stream) 89 | .catch( error => console.error(error) ) 90 | 91 | videoTag.current.addEventListener('play', () => { 92 | // CompreFace init 93 | let server = "http://localhost"; 94 | let port = 8000; 95 | let detection_key = "your_api_key_for_detection_service"; 96 | 97 | let core = new CompreFace(server, port); 98 | let detection_service = core.initFaceDetectionService(detection_key); 99 | // end of CompreFace init 100 | 101 | let ctx1 = canvas1.current.getContext('2d'); 102 | let ctx2 = canvas2.current.getContext('2d'); 103 | let ctx3 = canvas3.current.getContext("2d"); 104 | 105 | document.addEventListener('next_frame', () => { 106 | ctx1.drawImage(videoTag.current, 0, 0, 640, 480) 107 | canvas1.current.toBlob( blob => { 108 | detection_service.detect(blob, { limit: 1, face_plugins: 'age,gender' }) 109 | .then(res => { 110 | /** 111 | 112 | We need call draw function which draws square on face of user in front of webcamera 113 | 114 | */ 115 | }) 116 | .catch(error => console.log(error)) 117 | }, 'image/jpeg', 0.95) 118 | }) 119 | 120 | const evt = new Event("next_frame", {"bubbles":true, "cancelable":false}); 121 | document.dispatchEvent(evt); 122 | }) 123 | } 124 | 125 | return ( 126 |
127 | 128 | 129 | 130 | 131 | 132 |
133 | 134 |
135 |
136 | ); 137 | } 138 | 139 | export default App; 140 | ``` 141 | 142 | 7. Add draw function. NOTE: You can extra canvas elemets which shows extra info related to detected face. 143 | 144 | ``` 145 | const drawFace = (canvasElement, faceData, extraCanvas) => { 146 | const evt = new Event("next_frame", {"bubbles":true, "cancelable":false}); 147 | document.dispatchEvent(evt); 148 | let box = faceData.result[0].box; 149 | 150 | canvasElement.clearRect(0, 0, 640, 480); 151 | extraCanvas.clearRect(0, 0, 640, 480); 152 | 153 | canvasElement.strokeStyle = 'green'; 154 | extraCanvas.strokeStyle = "blue"; 155 | extraCanvas.fillStyle = "white" 156 | 157 | extraCanvas.lineWidth = 5; 158 | canvasElement.lineWidth = 5; 159 | 160 | canvasElement.strokeRect(box.x_min, box.y_min, box.x_max - box.x_min, box.y_max - box.y_min); 161 | extraCanvas.fillText( Number.parseFloat(box.probability).toPrecision(5) + ' ' + faceData.result[0].gender + ' ' + faceData.result[0].age[0] + '-' + faceData.result[0].age[1], box.x_min, box.y_min - 10) 162 | } 163 | ``` 164 | 165 | 8. Final code should look like this. 166 | 167 | ``` 168 | import { useRef } from 'react' 169 | import { CompreFace } from '@exadel/compreface-js-sdk'; 170 | 171 | function App() { 172 | const videoTag = useRef(null); 173 | const canvas1 = useRef(null); 174 | const canvas2 = useRef(null); 175 | const canvas3 = useRef(null); 176 | 177 | const drawFace = (canvasElement, faceData, extraCanvas) => { 178 | const evt = new Event("next_frame", {"bubbles":true, "cancelable":false}); 179 | document.dispatchEvent(evt); 180 | let box = faceData.result[0].box; 181 | 182 | canvasElement.clearRect(0, 0, 640, 480); 183 | extraCanvas.clearRect(0, 0, 640, 480); 184 | 185 | canvasElement.strokeStyle = 'green'; 186 | extraCanvas.strokeStyle = "blue"; 187 | extraCanvas.fillStyle = "white" 188 | 189 | extraCanvas.lineWidth = 5; 190 | canvasElement.lineWidth = 5; 191 | 192 | canvasElement.strokeRect(box.x_min, box.y_min, box.x_max - box.x_min, box.y_max - box.y_min); 193 | extraCanvas.fillText( Number.parseFloat(box.probability).toPrecision(5) + ' ' + faceData.result[0].gender + ' ' + faceData.result[0].age[0] + '-' + faceData.result[0].age[1], box.x_min, box.y_min - 10) 194 | } 195 | 196 | const handleVideoStart = () => { 197 | navigator.mediaDevices.getUserMedia({ video: true}) 198 | .then(stream => videoTag.current.srcObject = stream) 199 | .catch( error => console.error(error) ) 200 | 201 | videoTag.current.addEventListener('play', () => { 202 | // CompreFace init 203 | let server = "http://localhost"; 204 | let port = 8000; 205 | let detection_key = "your_api_key_for_detection_service"; 206 | 207 | let core = new CompreFace(server, port); 208 | let detection_service = core.initFaceDetectionService(detection_key); 209 | // end of CompreFace init 210 | 211 | let ctx1 = canvas1.current.getContext('2d'); 212 | let ctx2 = canvas2.current.getContext('2d'); 213 | let ctx3 = canvas3.current.getContext("2d"); 214 | 215 | document.addEventListener('next_frame', () => { 216 | ctx1.drawImage(videoTag.current, 0, 0, 640, 480) 217 | canvas1.current.toBlob( blob => { 218 | detection_service.detect(blob, { limit: 1, face_plugins: 'age,gender' }) 219 | .then(res => { 220 | drawFace(ctx2, res, ctx3) 221 | }) 222 | .catch(error => console.log(error)) 223 | }, 'image/jpeg', 0.95) 224 | }) 225 | 226 | const evt = new Event("next_frame", {"bubbles":true, "cancelable":false}); 227 | document.dispatchEvent(evt); 228 | }) 229 | } 230 | 231 | return ( 232 |
233 | 234 | 235 | 236 | 237 | 238 |
239 | 240 |
241 |
242 | ); 243 | } 244 | 245 | export default App; 246 | ``` 247 | -------------------------------------------------------------------------------- /webcam_demo/package.json: -------------------------------------------------------------------------------- 1 | { 2 | "name": "webcam-tutorial", 3 | "version": "0.1.0", 4 | "private": true, 5 | "dependencies": { 6 | "@exadel/compreface-js-sdk": "^1.0.0", 7 | "@testing-library/jest-dom": "^5.11.4", 8 | "@testing-library/react": "^11.1.0", 9 | "@testing-library/user-event": "^12.1.10", 10 | "react": "^17.0.2", 11 | "react-dom": "^17.0.2", 12 | "react-scripts": "4.0.3", 13 | "web-vitals": "^1.0.1" 14 | }, 15 | "scripts": { 16 | "start": "react-scripts start", 17 | "build": "react-scripts build", 18 | "test": "react-scripts test", 19 | "eject": "react-scripts eject" 20 | }, 21 | "eslintConfig": { 22 | "extends": [ 23 | "react-app", 24 | "react-app/jest" 25 | ] 26 | }, 27 | "browserslist": { 28 | "production": [ 29 | ">0.2%", 30 | "not dead", 31 | "not op_mini all" 32 | ], 33 | "development": [ 34 | "last 1 chrome version", 35 | "last 1 firefox version", 36 | "last 1 safari version" 37 | ] 38 | } 39 | } 40 | -------------------------------------------------------------------------------- /webcam_demo/public/favicon.ico: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/exadel-inc/compreface-javascript-sdk/95bcd3e9549075334db608717cbd66502cf94152/webcam_demo/public/favicon.ico -------------------------------------------------------------------------------- /webcam_demo/public/index.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 12 | 13 | 17 | 18 | 27 | React App 28 | 29 | 30 | 31 |
32 | 42 | 43 | 44 | -------------------------------------------------------------------------------- /webcam_demo/public/logo192.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/exadel-inc/compreface-javascript-sdk/95bcd3e9549075334db608717cbd66502cf94152/webcam_demo/public/logo192.png -------------------------------------------------------------------------------- /webcam_demo/public/logo512.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/exadel-inc/compreface-javascript-sdk/95bcd3e9549075334db608717cbd66502cf94152/webcam_demo/public/logo512.png -------------------------------------------------------------------------------- /webcam_demo/public/manifest.json: -------------------------------------------------------------------------------- 1 | { 2 | "short_name": "React App", 3 | "name": "Create React App Sample", 4 | "icons": [ 5 | { 6 | "src": "favicon.ico", 7 | "sizes": "64x64 32x32 24x24 16x16", 8 | "type": "image/x-icon" 9 | }, 10 | { 11 | "src": "logo192.png", 12 | "type": "image/png", 13 | "sizes": "192x192" 14 | }, 15 | { 16 | "src": "logo512.png", 17 | "type": "image/png", 18 | "sizes": "512x512" 19 | } 20 | ], 21 | "start_url": ".", 22 | "display": "standalone", 23 | "theme_color": "#000000", 24 | "background_color": "#ffffff" 25 | } 26 | -------------------------------------------------------------------------------- /webcam_demo/public/robots.txt: -------------------------------------------------------------------------------- 1 | # https://www.robotstxt.org/robotstxt.html 2 | User-agent: * 3 | Disallow: 4 | -------------------------------------------------------------------------------- /webcam_demo/src/App.css: -------------------------------------------------------------------------------- 1 | .App { 2 | text-align: center; 3 | } 4 | 5 | .App-logo { 6 | height: 40vmin; 7 | pointer-events: none; 8 | } 9 | 10 | @media (prefers-reduced-motion: no-preference) { 11 | .App-logo { 12 | animation: App-logo-spin infinite 20s linear; 13 | } 14 | } 15 | 16 | .App-header { 17 | background-color: #282c34; 18 | min-height: 100vh; 19 | display: flex; 20 | flex-direction: column; 21 | align-items: center; 22 | justify-content: center; 23 | font-size: calc(10px + 2vmin); 24 | color: white; 25 | } 26 | 27 | .App-link { 28 | color: #61dafb; 29 | } 30 | 31 | @keyframes App-logo-spin { 32 | from { 33 | transform: rotate(0deg); 34 | } 35 | to { 36 | transform: rotate(360deg); 37 | } 38 | } 39 | -------------------------------------------------------------------------------- /webcam_demo/src/App.js: -------------------------------------------------------------------------------- 1 | import { useRef } from 'react' 2 | import { CompreFace } from '@exadel/compreface-js-sdk'; 3 | import './App.css'; 4 | 5 | function App() { 6 | const videoTag = useRef(null); 7 | const canvas1 = useRef(null); 8 | const canvas2 = useRef(null); 9 | const canvas3 = useRef(null); 10 | 11 | const drawFace = (canvasElement, faceData, extraCanvas) => { 12 | const evt = new Event("next_frame", {"bubbles":true, "cancelable":false}); 13 | document.dispatchEvent(evt); 14 | let box = faceData.result[0].box; 15 | 16 | canvasElement.clearRect(0, 0, 640, 480); 17 | extraCanvas.clearRect(0, 0, 640, 480); 18 | 19 | canvasElement.strokeStyle = 'green'; 20 | extraCanvas.strokeStyle = "blue"; 21 | extraCanvas.fillStyle = "white" 22 | 23 | extraCanvas.lineWidth = 5; 24 | canvasElement.lineWidth = 5; 25 | 26 | canvasElement.strokeRect(box.x_min, box.y_min, box.x_max - box.x_min, box.y_max - box.y_min); 27 | extraCanvas.fillText( Number.parseFloat(box.probability).toPrecision(5) + ' ' + faceData.result[0].gender.value + ' ' + faceData.result[0].age.low + '-' + faceData.result[0].age.high, box.x_min, box.y_min - 10) 28 | 29 | } 30 | 31 | const handleVideoStart = () => { 32 | navigator.mediaDevices.getUserMedia({ video: true}) 33 | .then(stream => videoTag.current.srcObject = stream) 34 | .catch( error => console.error(error) ) 35 | 36 | videoTag.current.addEventListener('play', () => { 37 | // CompreFace init 38 | let server = "http://localhost"; 39 | let port = 8000; 40 | let detection_key = "00000000-0000-0000-0000-000000000003"; 41 | 42 | let core = new CompreFace(server, port); 43 | let detection_service = core.initFaceDetectionService(detection_key); 44 | // end of CompreFace init 45 | 46 | let ctx1 = canvas1.current.getContext('2d'); 47 | let ctx2 = canvas2.current.getContext('2d'); 48 | let ctx3 = canvas3.current.getContext("2d"); 49 | 50 | document.addEventListener('next_frame', () => { 51 | ctx1.drawImage(videoTag.current, 0, 0, 640, 480) 52 | canvas1.current.toBlob( blob => { 53 | detection_service.detect(blob, { limit: 1, face_plugins: 'age,gender' }) 54 | .then(res => { 55 | drawFace(ctx2, res, ctx3) 56 | }) 57 | .catch(error => console.log(error)) 58 | }, 'image/jpeg', 0.95) 59 | }) 60 | 61 | const evt = new Event("next_frame", {"bubbles":true, "cancelable":false}); 62 | document.dispatchEvent(evt); 63 | }) 64 | } 65 | 66 | return ( 67 |
68 |
69 | 70 | 71 | 72 | 73 | 74 |
75 | 76 |
77 | 78 |
79 |
80 | ); 81 | } 82 | 83 | export default App; 84 | -------------------------------------------------------------------------------- /webcam_demo/src/index.js: -------------------------------------------------------------------------------- 1 | import React from 'react'; 2 | import ReactDOM from 'react-dom'; 3 | import App from './App'; 4 | 5 | ReactDOM.render( 6 | 7 | 8 | , 9 | document.getElementById('root') 10 | ); 11 | --------------------------------------------------------------------------------