Color Predictor

Takes a full path to an image and returns its predicted color.
This project uses Node.js with integrated ECMAScript. So it's essential to run your code with node -r esm your-file-name.js
Or you can edit this project in a way there wouldn't be a need for esm. Your choice.

Installing

Install color-predictor (latest):
``
yarn add color-predictor
`
or
`
npm install color-predictor
`

Usage

Request or import package and call predictColor('path/to/img'). Sample code with node.js:
`
import { predictColorWithRGB, predictColorWithImg} from "color-predictor";

const r = 95, g = 173, b = 215;

console.log(predictColorWithRGB(r, g, b));

console.log(predictColorWithImg("./okey.png"));
`
Run your code with node -r esm your-file-name.js

$3

#### Downloading as a local project
To download dependencies, run
`npm install`
in the project.

As I've adjusted the code for npm package, the path in the project where it calls for the model.json is different than if you had done npm install.

##### predict.js:
change the path variable to
`var path = "path/to/color-predictor/my-model/model.json"`

or wherever your model.json is located.

Example code:

`
const { predictColorWithImg } = require("path/to/color-classification/color-finder")

const path = "path/to/image.jpg"
predictColorWithImg(path);
`
Then run:
`node -r esm your-file-name.js`

$3

The path to the trained model is given in predict.js`. If you would like to use another model, just require it.

$3

You're welcome to open new issues as you see fit. The first and foremost issue to be worked on is adding the feature of color detecting of objects with live cam in real time.