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Discussion on Face Analyzer REST API Script | Top of the Tensorflow Core

Discussion on Face Analyzer REST API Script | Top of the Tensorflow Core

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18 comments found.

what is the minimum server requirements needed and stack ?

1. Can you pls tell whether full access I would have, If I purchase this? 2. Do you support to create the development environment extactly, because without testing we cant go for live server? 3. api used is open source , no any third party fee or subscription and limitations?

1. full access 2. yes 3. no subscription and limitations required

hello Can you explain to me what this means? I want to make a website website The idea of ​​my website is face analysis. Is there any connection between this and your script?

This is a Rest API Project

while running application , giving below error

ln00822536@BGINCHAMLP00295:~/Desktop/codecanyon-4TCRegIr-face-matching-script-tensorflow-inside/Main/face-rest-api$ node index.js body-parser deprecated undefined extended: provide extended option app.js:21:17 App Run @8080—

============================ Hi there . Looks like you are running TensorFlow.js in Node.js. To speed things up dramatically, install our node backend, which binds to TensorFlow C++, by running npm i @tensorflow/tfjs-node, or npm i @tensorflow/tfjs-node-gpu if you have CUDA. Then call require(’@tensorflow/tfjs-node’); (-gpu suffix for CUDA) at the start of your program. Visit https://github.com/tensorflow/tfjs-node for more details.

============================ Hi there . Looks like you are running TensorFlow.js in Node.js. To speed things up dramatically, install our node backend, which binds to TensorFlow C++, by running npm i @tensorflow/tfjs-node, or npm i @tensorflow/tfjs-node-gpu if you have CUDA. Then call require(’@tensorflow/tfjs-node’); (-gpu suffix for CUDA) at the start of your program. Visit https://github.com/tensorflow/tfjs-node for more details.

/home/ln00822536/Desktop/codecanyon-4TCRegIr-face-matching-script-tensorflow-inside/Main/face-rest-api/node_modules/tfjs-image-recognition-base/node_modules/@tensorflow/tfjs-core/dist/engine.js:349 var srcBackend = info.backend; ^

TypeError: Cannot read properties of undefined (reading ‘backend’) at Engine.moveData (/home/ln00822536/Desktop/codecanyon-4TCRegIr-face-matching-script-tensorflow-inside/Main/face-rest-api/node_modules/tfjs-image-recognition-base/node_modules/@tensorflow/tfjs-core/dist/engine.js:349:31) at DataStorage.get (/home/ln00822536/Desktop/codecanyon-4TCRegIr-face-matching-script-tensorflow-inside/Main/face-rest-api/node_modules/tfjs-image-recognition-base/node_modules/@tensorflow/tfjs-core/dist/backends/backend.js:31:28) at Object.kernelFunc (/home/ln00822536/Desktop/codecanyon-4TCRegIr-face-matching-script-tensorflow-inside/Main/face-rest-api/node_modules/tfjs-image-recognition-base/node_modules/@tensorflow/tfjs-core/dist/backends/cpu/utils/kernel_utils.js:32:41) at kernelFunc (/home/ln00822536/Desktop/codecanyon-4TCRegIr-face-matching-script-tensorflow-inside/Main/face-rest-api/node_modules/tfjs-image-recognition-base/node_modules/@tensorflow/tfjs-core/dist/engine.js:499:30) at /home/ln00822536/Desktop/codecanyon-4TCRegIr-face-matching-script-tensorflow-inside/Main/face-rest-api/node_modules/tfjs-image-recognition-base/node_modules/@tensorflow/tfjs-core/dist/engine.js:553:27 at Engine.scopedRun (/home/ln00822536/Desktop/codecanyon-4TCRegIr-face-matching-script-tensorflow-inside/Main/face-rest-api/node_modules/tfjs-image-recognition-base/node_modules/@tensorflow/tfjs-core/dist/engine.js:398:23) at Engine.runKernelFunc (/home/ln00822536/Desktop/codecanyon-4TCRegIr-face-matching-script-tensorflow-inside/Main/face-rest-api/node_modules/tfjs-image-recognition-base/node_modules/@tensorflow/tfjs-core/dist/engine.js:551:14) at div_ (/home/ln00822536/Desktop/codecanyon-4TCRegIr-face-matching-script-tensorflow-inside/Main/face-rest-api/node_modules/tfjs-image-recognition-base/node_modules/@tensorflow/tfjs-core/dist/ops/div.js:66:28) at Object.div (/home/ln00822536/Desktop/codecanyon-4TCRegIr-face-matching-script-tensorflow-inside/Main/face-rest-api/node_modules/tfjs-image-recognition-base/node_modules/@tensorflow/tfjs-core/dist/ops/operation.js:46:29) at tensor_1.Tensor.div (/home/ln00822536/Desktop/codecanyon-4TCRegIr-face-matching-script-tensorflow-inside/Main/face-rest-api/node_modules/tfjs-image-recognition-base/node_modules/@tensorflow/tfjs-core/dist/public/chained_ops/div.js:22:18)

Node.js v20.11.1

could you please help me to resolve above issue.

From support can anyone look into this issue to resolve , need to integrate this api in other application

request to get support details provided inside the product documentation

this product is not compatible with centos?

http://164.68.107.70:5075 Yes you can deploy in centos also, if any problem to deploy we are ready to give support

I need to test it and does this check like wearing glasses , wearing hat , back image , half face covered and give the percent similarity using ML and showing the correct percentage in the Rest API and can get the test API version on Postman

currently no anti spoofing api. We are working on this

is this rest api or websocket and does this protect and check for accuracy if some close half face close his mouth and rejects it

and does it has live camera force open camera to take liveness pictures and comapre with uploaded image form DB to give the accuracy if the liveness in x Percentage ??/

hello i want to buy the script. does it able to count cars in images in stead of faces? if so how i can do it. i will purchase. thanks

it only work with human face

I would like to test Liveness anti spoofing can you send info to my email dusit@cryptoxpress.io and do you have sdk ready where we can plugin our flutter

Liveness anti spoofing is realtime detection that its not image taken and video taken so has to give result true with accurate percentage if you have it which one is it .Please inform

there is no anti spoofing features

Hi you have Face Detection realtime in video

How can I run this project locally??

Please reply as soon as possible. When I wanted run the HTML file it gave me errors.

Please follow the documentation inside the product

The demo give out app error. Could you check? Does this require any API registered with Google and incurring fee?

Thanks for your feedback… problem fixed

Do you have APi for this to try it on Flutter

Yes i have…. I will provide it you today…

Anti spoofing ??? will be interesting and if you can do some custom how can we contact you on skype or whatsapp?

Please check your email

Hi There,

First I love the product, 5 stars everyone!!!! support is awesome as well.

That said ..

I tried to build the latest version locally before deploying it, there was no build script for nom run build. right now, I’m unable to upgrade because there is a dependency when running index.js on my server, that is missing. I get an error about CXXABI_1.3.9, which is not a module I can install as a standalone from what I could see. The last version deployed without a hitch, not sure what’s wrong here, I’m following your instructions. PLEASE HELP!

Thanks in advance, Eeg

I’m not sure why you haven’t answered my question, my support ended while I was waiting for a response. I believe that I was even one of your first supporters of this product. I just want the new version to work like my original purchase, and I’ll leave you alone.

error about CXXABI_1.3.9 may comes from your cent-os server pc

Hello. I mailed pre-sale question via codecanyon

Hello, this looks good. Do you think we can add the option to scan an ID and compare it with the face image? Please let me know if you could customize this for us.

yes we can customize it for you

Hi, How to install this software ?

proper documentation provided inside the product

This is open source right? or install any programming language

yes This is open source

Hey,

This looks interesting. Would it be possible to use this code to access the user’s webcam and take an initial snapshot of their face, then utilise the tensorflow model to determine if it’s the same user at a later time?

I imagine a potential use-case could be to unlock an app if the model detects it’s the same person.

Yes it is possible to access from user’s webcam. You can take any support and take any customization you need from us..

Hey, sent you a message :)

Thank you, i has been replied you. Just check your email inbox

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