Skip to content

The API use a MobileNet pre-trained model architecture to classify input images.

License

Notifications You must be signed in to change notification settings

ShowBaba/image-classifier-api-v1

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

🚩 IMAGE-CLASSIFIER-API-V1 (version 1.0.0)

node version npm version

The API use a MobileNet pre-trained model architecture to classify input images.


Tutorial

I wrote about this project here

📦 Main tools used

  • @tensorflow-models/mobilenet
  • @tensorflow/tfjs
  • express
  • get-image-data
  • jimp
  • morgan
  • multer
  • nodemon
  • cors

🔧 Developer usage

Set up project

Before cloning the repo be sure you have installed:

  • NODE (version >=12.0.0)
  • NPM (version >=5.5.0)

Then:

  • Choose a folder project in your system and switch in cd [folder path]
  • Clone the repo in your folder path git clone https://github.com/ShowBaba/image-classifier-api-v1.git

Installation

In order to install the project and all dependencies, enter in the project folder and run npm install


Start the project

npm start

Test the project

npm test

🤝 Contributing

  • Fork it!
  • Create your feature branch: git checkout -b my-new-feature
  • Commit your changes: git commit -am 'Add some feature'
  • Push to the branch: git push origin my-new-feature
  • Submit a pull request

💢 Troubleshootings

This is just a personal project created for study / demonstration purpose and to simplify my working life, it may or may not be a good fit for your project(s).


❤️ Show your support

Please ⭐ this repository if you like it or this project helped you!
Feel free to open issues or submit pull-requests to help me improving my work.


🤖 Author

Samuel Shoyemi

You can follow me on github · twitter


Copyright © 2020 Samuel Shoyemi

About

The API use a MobileNet pre-trained model architecture to classify input images.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages