Ei kuvausta

Lutz Roeder faa68487f7 Update to 1.6.2 8 vuotta sitten
.vscode 1a3875886e first commit 8 vuotta sitten
media c58cf0a220 Update screenshot 8 vuotta sitten
setup e4e4bc7743 Move electron-builder setup files to /setup 8 vuotta sitten
src d47afddd4f Add MXNet metadata 8 vuotta sitten
tools 04e5563839 MXNet symbol.json support 8 vuotta sitten
.gitattributes 7f59d7662f Support variadic and control edges 8 vuotta sitten
.gitignore aef727bc5d Add src/coreml.js 8 vuotta sitten
DEVELOPMENT.md b2da722b5c Update DEVELOPMENT.md 8 vuotta sitten
LICENSE 0157c86a27 Update license 9 vuotta sitten
Makefile 3fc2eef9df Delay load protobuf and library scripts 8 vuotta sitten
README.md 04e5563839 MXNet symbol.json support 8 vuotta sitten
electron-builder.yml 04e5563839 MXNet symbol.json support 8 vuotta sitten
netron eaf15f719b Fix Python scripts for 3.x 8 vuotta sitten
package.json faa68487f7 Update to 1.6.2 8 vuotta sitten
setup.cfg bb17ed372c All Python build outputs to ./build/python 8 vuotta sitten
setup.py 04e5563839 MXNet symbol.json support 8 vuotta sitten

README.md

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').

Download Models

Sample model files you can download and open:

ONNX Models

Keras Models

CoreML Models

TensorFlow Lite Models

Caffe Models

TensorFlow models