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README

YOLOv8 inference using Node.js

This is a web interface to YOLOv8 object detection neural network implemented on Node.js.

This is a source code for a "How to create YOLOv8-based object detection web service using Python, Julia, Node.js, JavaScript, Go and Rust" tutorial.

Install

  • Clone this repository: git clone git@github.com:AndreyGermanov/yolov8_onnx_nodejs.git
  • Go to the root of cloned repository
  • Install dependencies by running npm install

Run

Execute:

node object_detector.js

It will start a webserver on http://localhost:8080. Use any web browser to open the web interface.

Using the interface you can upload the image to the object detector and see bounding boxes of all objects detected on it.

Core symbols most depended-on inside this repo

intersection
called by 2
object_detector.js
main
called by 1
object_detector.js
detect_objects_on_image
called by 1
object_detector.js
prepare_input
called by 1
object_detector.js
run_model
called by 1
object_detector.js
process_output
called by 1
object_detector.js
iou
called by 1
object_detector.js
union
called by 1
object_detector.js

Shape

Function 8

Languages

TypeScript100%

Modules by API surface

object_detector.js8 symbols

For agents

$ claude mcp add yolov8_onnx_nodejs \
  -- python -m otcore.mcp_server <graph>

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