https://github.com/koji/tensorflowjs-and-keras

tensorflowjs and keras
https://github.com/koji/tensorflowjs-and-keras

javascript keras machine-learning nodejs tensorflowjs

Last synced: about 2 months ago
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tensorflowjs and keras

• Host: GitHub
• URL: https://github.com/koji/tensorflowjs-and-keras
• Owner: koji
• Created: 2018-07-02T23:17:40.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2022-12-09T00:38:39.000Z (about 2 years ago)
• Last Synced: 2024-10-28T00:18:28.179Z (4 months ago)
• Topics: javascript, keras, machine-learning, nodejs, tensorflowjs
• Language: JavaScript
• Homepage: https://sleepy-maker.github.io/tensorflowjs-and-keras/image_classification/webcam/app/public/
• Size: 14.8 MB
• Stars: 3
• Watchers: 2
• Forks: 0
• Open Issues: 8
• Metadata Files:
  • Readme: README.md

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README

        
# Tensorflowjs and Keras

## setup

```zsh

$ pip install tensorflowjs

```

## convert Keras model to Tensorflowjs model with command

```zsh

$ tensorflowjs_converter --input_format keras models/mobilenet_v2.h5 models4js/mobilenet_v2

```

## convert Keras model to Tensorflowjs model

```zsh

for VGG16

$ python keras2tensorflow_forVGG16.py

for MobileNet V2

$ python keras2tensorflow_formobilenet.py

```

In terms of mobilenet_v2, if you got an error, you would need to update Keras

```zsh

$ pip install -U keras

```

model.json is a meta-data file.  

 

## How to try this

```zsh

clone this repo

$ git clone https://github.com/sleepy-maker/tensorflowjs-and-keras.git

$ cd image_classification/app

$ npm install

$ node server.js

```

#### demo

image_uploader version

https://sleepy-maker.github.io/tensorflowjs-and-keras/image_classification/image_uploader/app/public/     

webcam version    

https://sleepy-maker.github.io/tensorflowjs-and-keras/image_classification/webcam/app/public/      

## ToDo

- [x] Add a function which allows users to select a model(VGG16/MobileNet)

- [x] Optimize model loading process  

- [x] Add webcam function 

- [ ] Rewrite with reactjs with typescript

- [ ] Add new functions