SunnyMirror/netron @ 04e5563839cd0d7454d266099ac2dc1ba920c6ce

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Lutz Roeder 04e5563839 MXNet symbol.json support		vor 8 Jahren
.vscode	1a3875886e first commit	vor 8 Jahren
media	c58cf0a220 Update screenshot	vor 8 Jahren
setup	e4e4bc7743 Move electron-builder setup files to /setup	vor 8 Jahren
src	04e5563839 MXNet symbol.json support	vor 8 Jahren
tools	04e5563839 MXNet symbol.json support	vor 8 Jahren
.gitattributes	7f59d7662f Support variadic and control edges	vor 8 Jahren
.gitignore	aef727bc5d Add src/coreml.js	vor 8 Jahren
DEVELOPMENT.md	b2da722b5c Update DEVELOPMENT.md	vor 8 Jahren
LICENSE	0157c86a27 Update license	vor 9 Jahren
Makefile	3fc2eef9df Delay load protobuf and library scripts	vor 8 Jahren
README.md	04e5563839 MXNet symbol.json support	vor 8 Jahren
electron-builder.yml	04e5563839 MXNet symbol.json support	vor 8 Jahren
netron	eaf15f719b Fix Python scripts for 3.x	vor 8 Jahren
package.json	8aad709f6e Update to 1.6.0	vor 8 Jahren
setup.cfg	bb17ed372c All Python build outputs to ./build/python	vor 8 Jahren
setup.py	04e5563839 MXNet symbol.json support	vor 8 Jahren

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