Package Exports

@vapi/node-yolo

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Readme

node-yolo

This project came out from a computer engineering project VAPi. Our project uses a bleeding edge AI algorithm that classify objects of a certain image called yolo.

Pre-requirements

C/C++
CUDA (If you want to use GPU accelaration, only nVidia)
nodeJS>=8
node-gyp

Installation

npm install https://github.com/rcaceiro/node-yolo --save

How To Use

darknet-configs is a folder where you should put the weight files and you most create inside of it another called cfg where put the config files.

const yolo = require('node-yolo');
const detector = new yolo("darknet-configs", "cfg/coco.data", "cfg/yolov3.cfg", "yolov3.weights");
detector.detect(path)
        .then(detections => {
        })
        .catch(error => {
        });

detections object

Field	Description
`className`	Name of the class of the object detected
`probability`	The higher probability that this className is correct
`box`	obejct that contains box info of the object

box object

Field	Description
`x`	x coordinate in pixels of the picture
`y`	y coordinate in pixels of the picture
`w`	width from x point in pixels
`h`	height from y point in pixels