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netron
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Lutz Roeder 20005a0985 Update to 1.6.6 пре 8 година
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setup e4e4bc7743 Move electron-builder setup files to /setup пре 8 година
src 25010aa4df Handle attribute and input overflow пре 8 година
tools 53abb26fff Update onnx-operator.json пре 8 година
.gitattributes 7f59d7662f Support variadic and control edges пре 8 година
.gitignore aef727bc5d Add src/coreml.js пре 8 година
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LICENSE 0157c86a27 Update license пре 9 година
Makefile 3fc2eef9df Delay load protobuf and library scripts пре 8 година
README.md 2d59626be4 Experimental Caffe2 predict_net.pb support пре 8 година
electron-builder.yml 2d59626be4 Experimental Caffe2 predict_net.pb support пре 8 година
netron eaf15f719b Fix Python scripts for 3.x пре 8 година
package.json 20005a0985 Update to 1.6.6 пре 8 година
setup.cfg bb17ed372c All Python build outputs to ./build/python пре 8 година
setup.py 71a0832c36 Node properties view in table format (#88) (#66) пре 8 година

README.md

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), Caffe2 (predict_net.pb), 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').

Download Models

Sample model files you can download and open:

ONNX Models

Keras Models

CoreML Models

TensorFlow Lite Models

Caffe Models

Caffe2 Models

MXNet Models

TensorFlow models