SunnyMirror/netron @ ce15c4c096698136d5c8acda8b7acd78dc4f4bbb

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Lutz Roeder ce15c4c096 Update to 1.5.8		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	44011c6337 Caffe experiments	8 years ago
tools	44011c6337 Caffe experiments	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
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Makefile	3fc2eef9df Delay load protobuf and library scripts	8 years ago
README.md	bbf5406c67 Update to 1.5.5	8 years ago
electron-builder.yml	f201be1d6e Fix CoreML file extension	8 years ago
netron	eaf15f719b Fix Python scripts for 3.x	8 years ago
package.json	ce15c4c096 Update to 1.5.8	8 years ago
setup.cfg	bb17ed372c All Python build outputs to ./build/python	8 years ago
setup.py	7479baccd7 Add favicon to browser version	8 years ago

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

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

Netron has experimental support for CoreML models (.mlmodel) and TensorFlow models (.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

TensorFlow Lite Models

CoreML Models

TensorFlow models