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Examples

Welcome to ONNX.js Examples section

Run ONNX.js in Browser

The following examples are to demonstrate how to run ONNX.js in browser using HTTP server. Details are provided with their corresponding README files:

  1. Add (./browser/add) Simple example which adds two Tensors and validates the result.

  2. Resnet50 (./browser/resnet50) Loads and runs a Resnet50 Model, which is a highly accurate image classification model train on ImageNet.

  3. Squeezenet (./browser/squeezenet) Loads and runs a Squeezenet Model, which is a highly efficient image classification model trained on ImageNet.

Run ONNX.js in Node

The following example shows how to run ONNX.js using node. Further details are provided with its README file:

  1. Add (./node/add) Simple example which adds two Tensors and validates the result.

Run-time dependency for WebAssembly backend

onnx-wasm.wasm file

This file should be available to the browser whenever the usage of WebAssembly backend is desired. It is suggested to place this file1 in the same path containing the .html file

onnx-worker.js file

This file should be available to the browser whenever the usage of WebAssembly backend with Web Workers is desired. It is suggested to place this file1 in the same path containing the .html file

1 - There are several ways to get this file:

  • The file can be found at https://cdn.jsdelivr.net/npm/onnxjs/dist/
  • If consuming the module though NPM, this file can be found at node_modules/onnxjs/dist
  • By building the source code - after running npm run build, this file will be found in the dist folder of the repo