SunnyMirror/netron @ d47afddd4ff9319391f4b7bc0efe58c4aa18e38c

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Lutz Roeder d47afddd4f Add MXNet metadata		8 years ago
.vscode	1a3875886e first commit	8 years ago
media	c58cf0a220 Update screenshot	8 years ago
setup	e4e4bc7743 Move electron-builder setup files to /setup	8 years ago
src	d47afddd4f Add MXNet metadata	8 years ago
tools	04e5563839 MXNet symbol.json support	8 years ago
.gitattributes	7f59d7662f Support variadic and control edges	8 years ago
.gitignore	aef727bc5d Add src/coreml.js	8 years ago
DEVELOPMENT.md	b2da722b5c Update DEVELOPMENT.md	8 years ago
LICENSE	0157c86a27 Update license	9 years ago
Makefile	3fc2eef9df Delay load protobuf and library scripts	8 years ago
README.md	04e5563839 MXNet symbol.json support	8 years ago
electron-builder.yml	04e5563839 MXNet symbol.json support	8 years ago
netron	eaf15f719b Fix Python scripts for 3.x	8 years ago
package.json	d5a70ca06b Update to 1.6.1	8 years ago
setup.cfg	bb17ed372c All Python build outputs to ./build/python	8 years ago
setup.py	04e5563839 MXNet symbol.json support	8 years ago

Netron is a viewer for neural network and machine learning models.

Netron supports ONNX (.onnx, .pb), Keras (.h5, .keras), CoreML (.mlmodel) and TensorFlow Lite (.tflite).

Netron has experimental support for Caffe (.caffemodel), MXNet (-symbol.json) and TensorFlow (.pb, .meta).

Install

macOS

Download the .dmg file or with Homebrew run brew cask install netron

Linux

Download the .AppImage or .deb file.

Windows

Download the .exe installer.

Browser

Start the browser version.

Python Server

Run pip install netron and netron [MODEL_FILE].
Serve a model in Python using import netron; netron.serve_file('my_model.onnx').

Sample model files you can download and open:

ONNX Models

Keras Models

CoreML Models

TensorFlow Lite Models

Caffe Models

TensorFlow models