A simple example on Image Classification in Node.js with TensorFlow.js
Check out the Medium Post for detailed explanation.
With current Machine Learning Tutorials running towards Python and TensorFlow, I was finding a route in a language which is close to my work, as it has so much use in life than other languages, the language I am talking about is JavaScript. From Back-End Servers (Node.js) to Front-End Web (React) and even Mobile-Platforms (React-Native), JavaScript is a language that is being used by many coding geeks and to learning a whole new language, just for machine learning is tiresome for any programmer. So I thought to bring machine learning to my own space and my language.
Sure, it's a challenge but why not to take a different path.
Open it in GitHub Desktop or git clone the repository or download the zip & extract the project.
Open the terminal in the project folder and type npm install.
Go to the project folder, and Open the Terminal to that path.
I have added an image that I have clicked and uploaded it in the repository. It’s an image of a Cute Baby Rabbit. You can use any image you have, just paste it in the project folder and give the name as the argument.
- Run the file (classify.js) with an image file as an argument.
node classify.js rabbit.jpg
- The result will be shown in the Terminal as :
Classification Results: [
{
className: 'Angora, Angora rabbit',
probability: 0.9488762617111206
},
{ className: 'hamster', probability: 0.023957064375281334 },
{
className: 'guinea pig, Cavia cobaya',
probability: 0.016880817711353302
}
]
- Tejas Rathod - @tejas77