SunnyMirror/netron @ 6d9111ab960f1629b1eb011def77cdda48a9a636

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Lutz Roeder 6d9111ab96 Update to 1.6.3		8 gadi atpakaļ
.vscode	1a3875886e first commit	8 gadi atpakaļ
media	c58cf0a220 Update screenshot	8 gadi atpakaļ
setup	e4e4bc7743 Move electron-builder setup files to /setup	8 gadi atpakaļ
src	05593731e3 Keras nested models (#94)	8 gadi atpakaļ
tools	04e5563839 MXNet symbol.json support	8 gadi atpakaļ
.gitattributes	7f59d7662f Support variadic and control edges	8 gadi atpakaļ
.gitignore	aef727bc5d Add src/coreml.js	8 gadi atpakaļ
DEVELOPMENT.md	b2da722b5c Update DEVELOPMENT.md	8 gadi atpakaļ
LICENSE	0157c86a27 Update license	9 gadi atpakaļ
Makefile	3fc2eef9df Delay load protobuf and library scripts	8 gadi atpakaļ
README.md	5512c12709 Update -operator.json files	8 gadi atpakaļ
electron-builder.yml	04e5563839 MXNet symbol.json support	8 gadi atpakaļ
netron	eaf15f719b Fix Python scripts for 3.x	8 gadi atpakaļ
package.json	6d9111ab96 Update to 1.6.3	8 gadi atpakaļ
setup.cfg	bb17ed372c All Python build outputs to ./build/python	8 gadi atpakaļ
setup.py	04e5563839 MXNet symbol.json support	8 gadi atpakaļ

Netron is a viewer for neural network, deep learning 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

MXNet Models

TensorFlow models