tupleblog / face-classification-js Goto Github PK

Face classification on JavaScript

Home Page: https://tupleblog.github.io/face-classification-js/

License: MIT License

face-classification-js's Introduction

face-classification-js

Repository for gender and emotion classification using TensorFlow.js. The original repository can be seen at oarriaga/face_classification. We train MobileNet to classify gender and emotion of the face based on FER2013 and IMDB datasets. The face tracking part is done by using trackingjs, lightweight JavaScript core for computer vision.

You can see more details of analysis and examples on tupleblog.

demo

Try out the image classification demo at tupleblog.github.io/face-classification-js. You can also try webcam real-time video classification on web browser at tupleblog.github.io/face-classification-js/webcam.html

contributors

from tupleblog

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face-classification-js's Issues

Create node module

We should create node module out of this project. Let's discuss how we should make it.

what should be the module name?
what functions should be available?
should it be in a class?

For example, the simplest function could be:

import { FaceDetector as fd } from 'face-classification-js';

const result = fd.classifyFace('image-of-face.png');

console.log(result.emotion);

Let's gather more information about this @kittinan @titipata @bachkukkik!

CSS improvement

@bluenex, maybe you can make the UI more intuitive/ clean?

Train other images

Hi Congratulations on the application, I would like to train with another image base to buy the results in my experiment, could you help me how to perform the training to generate the models of the tensorflow, I would be very grateful beyond mentioning your work clear.

face-classification-js/webcam.html is not working properly

Despite camera access being allowed, There is no graphical return on the web browser. @kittinan suspects this is due to the web browser's version.

I tested on Google Chrome Version 71.0.3578.98 (Official Build) (64-bit) and 12.0.2 (14606.3.4). Both can't provide image return.

MacOS 10.14.2 (18C54)

Model Conversion Problem

Convert model from

https://github.com/oarriaga/face_classification/tree/master/trained_models/emotion_models

get many error

Keras.JS lastest version

Error: [Model] error loading weights.
    at keras.min.js:1
    at Array.map (<anonymous>)
    at t (keras.min.js:1)
    at keras.min.js:1
    at Array.forEach (<anonymous>)
    at t (keras.min.js:1)
    at t (keras.min.js:1)
    at r (keras.min.js:1)
    at Generator.i [as _invoke] (keras.min.js:1)
    at Generator.t.(:8989/anonymous function) [as next] (https://unpkg.com/[email protected]/dist/keras.min.js:1:449112)
    at i (keras.min.js:1)
    at a (keras.min.js:1)

Tensorflow.JS 0.7

Uncaught (in promise) Error: Unknown layer: SeparableConv2D
    at new t ([email protected]:1)
    at Object.n.deserializeKerasObject ([email protected]:1)
    at Object.n.deserialize ([email protected]:1)
    at p ([email protected]:1)
    at t.fromConfig ([email protected]:1)
    at Object.n.deserializeKerasObject ([email protected]:1)
    at Object.n.deserialize ([email protected]:1)
    at [email protected]:1
    at r ([email protected]:1)
    at Object.next ([email protected]:1)

Tensorflow.JS 0.9

Uncaught (in promise) Error: Could not find weights in manifest with names: conv2d_1/kernel, batch_normalization_1/gamma, batch_normalization_1/beta, conv2d_2/kernel, batch_normalization_2/gamma, batch_normalization_2/beta, separable_conv2d_1/depthwise_kernel, separable_conv2d_1/pointwise_kernel, batch_normalization_4/gamma, batch_normalization_4/beta, separable_conv2d_2/depthwise_kernel, separable_conv2d_2/pointwise_kernel, batch_normalization_5/gamma, batch_normalization_5/beta, conv2d_3/kernel, batch_normalization_3/gamma, batch_normalization_3/beta, separable_conv2d_3/depthwise_kernel, separable_conv2d_3/pointwise_kernel, batch_normalization_7/gamma, batch_normalization_7/beta, separable_conv2d_4/depthwise_kernel, separable_conv2d_4/pointwise_kernel, batch_normalization_8/gamma, batch_normalization_8/beta, conv2d_4/kernel, batch_normalization_6/gamma, batch_normalization_6/beta, separable_conv2d_5/depthwise_kernel, separable_conv2d_5/pointwise_kernel, batch_normalization_10/gamma, batch_normalization_10/beta, separable_conv2d_6/depthwise_kernel, separable_conv2d_6/pointwise_kernel, batch_normalization_11/gamma, batch_normalization_11/beta, conv2d_5/kernel, batch_normalization_9/gamma, batch_normalization_9/beta, separable_conv2d_7/depthwise_kernel, separable_conv2d_7/pointwise_kernel, batch_normalization_13/gamma, batch_normalization_13/beta, separable_conv2d_8/depthwise_kernel, separable_conv2d_8/pointwise_kernel, batch_normalization_14/gamma, batch_normalization_14/beta, conv2d_6/kernel, batch_normalization_12/gamma, batch_normalization_12/beta, conv2d_7/kernel, conv2d_7/bias, batch_normalization_1/moving_mean, batch_normalization_1/moving_variance, batch_normalization_2/moving_mean, batch_normalization_2/moving_variance, batch_normalization_4/moving_mean, batch_normalization_4/moving_variance, batch_normalization_5/moving_mean, batch_normalization_5/moving_variance, batch_normalization_3/moving_mean, batch_normalization_3/moving_variance, batch_normalization_7/moving_mean, batch_normalization_7/moving_variance, batch_normalization_8/moving_mean, batch_normalization_8/moving_variance, batch_normalization_6/moving_mean, batch_normalization_6/moving_variance, batch_normalization_10/moving_mean, batch_normalization_10/moving_variance, batch_normalization_11/moving_mean, batch_normalization_11/moving_variance, batch_normalization_9/moving_mean, batch_normalization_9/moving_variance, batch_normalization_13/moving_mean, batch_normalization_13/moving_variance, batch_normalization_14/moving_mean, batch_normalization_14/moving_variance, batch_normalization_12/moving_mean, batch_normalization_12/moving_variance. 
Manifest JSON has weights with names: batch_normalization_1_1/gamma, batch_normalization_1_1/beta, batch_normalization_1_1/moving_mean, batch_normalization_1_1/moving_variance, batch_normalization_10_1/gamma, batch_normalization_10_1/beta, batch_normalization_10_1/moving_mean, batch_normalization_10_1/moving_variance, batch_normalization_11_1/gamma, batch_normalization_11_1/beta, batch_normalization_11_1/moving_mean, batch_normalization_11_1/moving_variance, batch_normalization_12_1/gamma, batch_normalization_12_1/beta, batch_normalization_12_1/moving_mean, batch_normalization_12_1/moving_variance, batch_normalization_13_1/gamma, batch_normalization_13_1/beta, batch_normalization_13_1/moving_mean, batch_normalization_13_1/moving_variance, batch_normalization_14_1/gamma, batch_normalization_14_1/beta, batch_normalization_14_1/moving_mean, batch_normalization_14_1/moving_variance, batch_normalization_2_1/gamma, batch_normalization_2_1/beta, batch_normalization_2_1/moving_mean, batch_normalization_2_1/moving_variance, batch_normalization_3_1/gamma, batch_normalization_3_1/beta, batch_normalization_3_1/moving_mean, batch_normalization_3_1/moving_variance, batch_normalization_4_1/gamma, batch_normalization_4_1/beta, batch_normalization_4_1/moving_mean, batch_normalization_4_1/moving_variance, batch_normalization_5_1/gamma, batch_normalization_5_1/beta, batch_normalization_5_1/moving_mean, batch_normalization_5_1/moving_variance, batch_normalization_6_1/gamma, batch_normalization_6_1/beta, batch_normalization_6_1/moving_mean, batch_normalization_6_1/moving_variance, batch_normalization_7_1/gamma, batch_normalization_7_1/beta, batch_normalization_7_1/moving_mean, batch_normalization_7_1/moving_variance, batch_normalization_8_1/gamma, batch_normalization_8_1/beta, batch_normalization_8_1/moving_mean, batch_normalization_8_1/moving_variance, batch_normalization_9_1/gamma, batch_normalization_9_1/beta, batch_normalization_9_1/moving_mean, batch_normalization_9_1/moving_variance, conv2d_1_1/kernel, conv2d_2_1/kernel, conv2d_3_1/kernel, conv2d_4_1/kernel, conv2d_5_1/kernel, conv2d_6_1/kernel, conv2d_7_1/kernel, conv2d_7_1/bias, separable_conv2d_1_1/depthwise_kernel, separable_conv2d_1_1/pointwise_kernel, separable_conv2d_2_1/depthwise_kernel, separable_conv2d_2_1/pointwise_kernel, separable_conv2d_3_1/depthwise_kernel, separable_conv2d_3_1/pointwise_kernel, separable_conv2d_4_1/depthwise_kernel, separable_conv2d_4_1/pointwise_kernel, separable_conv2d_5_1/depthwise_kernel, separable_conv2d_5_1/pointwise_kernel, separable_conv2d_6_1/depthwise_kernel, separable_conv2d_6_1/pointwise_kernel, separable_conv2d_7_1/depthwise_kernel, separable_conv2d_7_1/pointwise_kernel, separable_conv2d_8_1/depthwise_kernel, separable_conv2d_8_1/pointwise_kernel.
    at Object.<anonymous> ([email protected]:1)
    at r ([email protected]:1)
    at Object.next ([email protected]:1)
    at [email protected]:1
    at new Promise (<anonymous>)
    at r ([email protected]:1)
    at Object.n.loadWeights ([email protected]:1)
    at [email protected]:1
    at r ([email protected]:1)
    at Object.next ([email protected]:1)

change face detection to face-api.js

example usage Here

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