https://github.com/akshay326/k-means-clustering-api

Sample Python API using flask, uses PyTorch to cluster image vectors
https://github.com/akshay326/k-means-clustering-api

api k-means k-means-clustering k-means-implementation-in-python python pytorch

Last synced: about 2 months ago
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Sample Python API using flask, uses PyTorch to cluster image vectors

• Host: GitHub
• URL: https://github.com/akshay326/k-means-clustering-api
• Owner: akshay326
• Created: 2018-04-01T10:52:31.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2018-05-31T11:13:45.000Z (over 7 years ago)
• Last Synced: 2025-04-16T03:53:42.235Z (6 months ago)
• Topics: api, k-means, k-means-clustering, k-means-implementation-in-python, python, pytorch
• Language: Python
• Size: 46 MB
• Stars: 4
• Watchers: 0
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# k-means-clustering-api

Sample Python API using flask, uses PyTorch to cluster image vectors. Originally forked [from here](https://github.com/christiansafka/img2vec)

![Flask Logo](https://filestore.hasura.io/v1/file/ee1848f5-9f04-40ba-9d97-60342ba7d673) 

![PyTorch Logo](https://www.tertiarycourses.com.sg/media/catalog/product/cache/1/image/512x/040ec09b1e35df139433887a97daa66f/p/y/pytorch.png) 

![Heroku Logo](https://logmatic.io/wp-content/uploads/2015/05/blogimageheroku1.png)

# How to use

Just make a __PUT__ request [here](http://beard-app.herokuapp.com/image_clustering) with base64 encoded image data using text/plain.

 

For python, refer [sample python script.py](https://github.com/AKS1996/k-means-clustering-api/blob/master/sample_python_script.py)

In Javascript/AJAX

```javascript

var settings = {

  "async": true,

  "crossDomain": true,

  "url": "https://beard-app.herokuapp.com/image_clustering",

  "method": "PUT",

  "headers": {

    "Content-Type": "text/plain"

  },

  "data": "/9j/4A....NpI//Z"   // This is base64 encoded image data

}

$.ajax(settings).done(function (response) {

  console.log(response);

});

``` 

Also, try the sample `ImageMatch.apk` android file

## Sample Result

Sample Image 

![Image of a cat](cat.jpg)

```json

[

  [

    0.8155140106062471, 

    "https://www.googleapis.com/download/storage/v1/b/python-clustering-api.appspot.com/o/images%2FFace%2F124.jpg?generation=1522585329188523&alt=media"

  ], 

  [

    0.8145577585207011, 

    "https://www.googleapis.com/download/storage/v1/b/python-clustering-api.appspot.com/o/images%2FFace%2F242.jpg?generation=1522585299229997&alt=media"

  ], 

  [

    0.7914929138145477, 

    "https://www.googleapis.com/download/storage/v1/b/python-clustering-api.appspot.com/o/images%2FFace%2F212.jpg?generation=1522584727478100&alt=media"

  ], 

  [

    0.7806927914191767, 

    "https://www.googleapis.com/download/storage/v1/b/python-clustering-api.appspot.com/o/images%2FFace%2F099.jpg?generation=1522585251917855&alt=media"

  ], 

  [

    0.6948463995381056, 

    "https://www.googleapis.com/download/storage/v1/b/python-clustering-api.appspot.com/o/images%2FFace%2F119.jpg?generation=1522584693369035&alt=media"

  ]

]

```