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JavaScript API for face detection and face recognition in nodejs with tensorflow.js

License: MIT License

JavaScript 0.06% TypeScript 99.94%

face-api-node's Introduction

face-api-node

Face Detection and Recognition API for Node

Note

This is a fork of the face-api.js (0.22.2) intended to only work in Node.js environment without monkey patching and any other dependencies but @tensorflow/tfjs-node. Tensorflow itself is a peer dependency and should be installed separately.

For documentation please refer to the original project. Also, bear in mind that drawing capabilities present in the original project are not included.

Credits

face-api-node's People

Contributors

justadudewhohacks avatar dkashinsky avatar jondewoo avatar javyxx avatar bmaguireibm avatar danielruf avatar ezra-chu avatar 0xflotus avatar goooseman avatar akofman avatar bajajar avatar bbenzikry avatar polaroidkidd avatar gantman avatar georgemandis avatar jason-cooke avatar rwieruch avatar cloudsoh avatar rawrmonstar avatar webdevsimplified avatar andypotato avatar

Watchers

James Cloos avatar

face-api-node's Issues

fix `FaceLandmark68NetBase.test.ts` unit tests

The test is not initialized due to some error which looks like circular dependency but might be of different nature. Need to investigate and fix it.

Jest reports the following error:

 FAIL  test/tests/faceLandmarkNet/FaceLandmark68NetBase.test.ts
  โ— Test suite failed to run

    TypeError: Class extends value undefined is not a constructor or null

      1 | import { Box } from './Box';
      2 |
    > 3 | export class BoundingBox extends Box {
        |                                  ^
      4 |   constructor(left: number, top: number, right: number, bottom: number, allowNegativeDimensions: boolean = false) {
      5 |     super({ left, top, right, bottom }, allowNegativeDimensions)
      6 |   }

      at Object.<anonymous> (src/classes/BoundingBox.ts:3:34)
      at Object.<anonymous> (src/classes/index.ts:1:1)

review and fix unit tests

Several unit tests related to the models are broken. Not sure whether they were in the broken state before updating tensorflow and moving to jest or not, but need to review and fix them so that we have all them green.

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