vladmandic
commented
4 years ago Just add
const tf = require('@tensorflow/tfjs-core'); or const tf = require('@tensorflow/tfjs);
at the top of your require list.
I've mentioned in README that this fork of FaceAPI does not package full TFJS, it inherits a loaded one (to make it lighter and to allow re-usability of TFJS itself for any other purpose).
I've tried your example and it works (just added console statement before DB query)
# node ./test.js
2020-09-08 08:29:18.421387: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2020-09-08 08:29:18.466476: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2299965000 Hz
2020-09-08 08:29:18.466931: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x5eca480 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2020-09-08 08:29:18.466969: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version
{
detection: FaceDetection {
_imageDims: Dimensions { _width: 1766, _height: 2000 },
_score: 0.9878889918327332,
_classScore: 0.9878889918327332,
_className: '',
_box: Box {
_x: 904.3608204664382,
_y: 148.6218273639679,
_width: 174.38878226491192,
_height: 232.84924030303955
}
},
...
hamza878
I have been having some issues lately with face-api.js and not been able to deploy it on the server so tried your version of it and I'm not sure if I'm using it right or not. I'm getting a bunch of errors, can you please review the code and errors?
pasting the code here.
const express = require("express"); const faceapi = require("@vladmandic/face-api"); const fetch = require("node-fetch"); const path = require("path"); const canvas = require("canvas"); const tnsr = require("@tensorflow/tfjs-node");
const faceDetectionNet = faceapi.nets.ssdMobilenetv1;
const minConfidence = 0.5; const trainingDataLength = 1; const inputSize = 384;
const scoreThreshold = 0.5;
function getFaceDetectorOptions(net = faceapi.NeuralNetwork()) { return net === faceapi.nets.ssdMobilenetv1 ? new faceapi.SsdMobilenetv1Options({ minConfidence, }) : new faceapi.TinyFaceDetectorOptions({ inputSize, scoreThreshold, }); } const faceDetectionOptions = getFaceDetectorOptions(faceDetectionNet);
const { Canvas, Image, ImageData } = canvas; faceapi.env.monkeyPatch({ Canvas, Image, ImageData, }); faceapi.env.monkeyPatch({ fetch: fetch, });
loadModels = async () => { const WeightsDir1 = path.resolve(dirname, "src/weights"); const WeightsDir2 = path.resolve(dirname, "src/weights"); const WeightsDir3 = path.resolve(__dirname, "src/weights"); await faceDetectionNet.loadFromDisk(WeightsDir1); await faceapi.nets.faceLandmark68Net.loadFromDisk(WeightsDir2); await faceapi.nets.faceRecognitionNet.loadFromDisk(WeightsDir3); };
const app = express(); verifyFace = async () => { await loadModels(); const dir1 = path.resolve(dirname, "a.jpg"); const dir2 = path.resolve(dirname, "b.jpg"); const application_id = "123"; const QUERY_IMAGE = dir1; const queryImage = await canvas.loadImage(QUERY_IMAGE);
};
and the errors I'm getting are below:
user2@Hamza MINGW64 ~/Documents/letsTryAgain $ node app.js node-pre-gyp info This Node instance does not support builds for N-API version 6 node-pre-gyp info This Node instance does not support builds for N-API version 6 2020-09-08 14:39:17.082639: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 (node:13856) UnhandledPromiseRejectionWarning: TypeError: t.toFloat is not a function at C:\Users\user2\Documents\letsTryAgain\node_modules\@vladmandic\face-api\dist\face-api.cjs:21279:59 at Array.map ()
at C:\Users\user2\Documents\letsTryAgain\node_modules\@vladmandic\face-api\dist\face-api.cjs:21279:46
at C:\Users\user2\Documents\letsTryAgain\node_modules\@vladmandic\face-api\dist\face-api.cjs:2604:16
at Engine.scopedRun (C:\Users\user2\Documents\letsTryAgain\node_modules\@vladmandic\face-api\dist\face-api.cjs:2614:19)
at Engine.tidy (C:\Users\user2\Documents\letsTryAgain\node_modules\@vladmandic\face-api\dist\face-api.cjs:2603:17)
at tidy (C:\Users\user2\Documents\letsTryAgain\node_modules\@vladmandic\face-api\dist\face-api.cjs:4327:17)
at NetInput.toBatchTensor (C:\Users\user2\Documents\letsTryAgain\node_modules\@vladmandic\face-api\dist\face-api.cjs:21263:12)
at C:\Users\user2\Documents\letsTryAgain\node_modules\@vladmandic\face-api\dist\face-api.cjs:23288:33
at C:\Users\user2\Documents\letsTryAgain\node_modules\@vladmandic\face-api\dist\face-api.cjs:2604:16
(node:13856) UnhandledPromiseRejectionWarning: Unhandled promise rejection. This error originated either by throwing inside of an async function without a catch block, or by rejecting a promise which was not handled with .catch(). To terminate the node process on unhandled promise rejection, use the CLI flag
--unhandled-rejections=strict(see https://nodejs.org/api/cli.html#cli_unhandled_rejections_mode). (rejection id: 1) (node:13856) [DEP0018] DeprecationWarning: Unhandled promise rejections are deprecated. In the future, promise rejections that are not handled will terminate the Node.js process with a non-zero exit code.please review the code and errors and suggest me a solution of if possible, modify it for me please? i am trying to recognize faces on server-side. Thanks in advace