SunnyMirror/netron @ d47afddd4ff9319391f4b7bc0efe58c4aa18e38c

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

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