Нема описа

Lutz Roeder 1c04c42117 Update tflite.js пре 8 година
.vscode 1a3875886e first commit пре 8 година
media c58cf0a220 Update screenshot пре 8 година
setup e4e4bc7743 Move electron-builder setup files to /setup пре 8 година
src 1c04c42117 Update tflite.js пре 8 година
tools 1f02562318 Add experimental CoreML protobuf generator пре 8 година
.gitattributes 7f59d7662f Support variadic and control edges пре 8 година
.gitignore ca42cf9505 Bug fixes and tf/tflite experiments пре 8 година
LICENSE 0157c86a27 Update license пре 9 година
README.md 1348b85e99 Update README.md пре 8 година
package.json 2277c20363 Update to 1.3.4 пре 8 година
setup.cfg 7d9e677e20 Write .egg-info to /tmp пре 8 година
setup.py c4f8095113 Rename h5.js to hdf5.js пре 8 година

README.md

Netron is a viewer for neural network models.

Netron loads ONNX models (.onnx or .pb), Keras models (.keras, .h5 or .json) and TensorFlow Lite models (.tflite) and has experimental support for TensorFlow models (.pb and .meta).

Install

macOS

Download the .dmg file or with Homebrew run brew cask install netron

Linux

Download the .AppImage or .deb file. The .AppImage needs to be made executable after download.

Windows

Download the .exe file.

Download Models

Below are a few model files you can download and open:

ONNX Models

TensorFlow Lite Models

TensorFlow models

Install Python Model Server

To run Netron in a web browser, install the Python web server using pip:

pip install netron

Launch the model server:

netron my_model.onnx

To serve a model from Python code:

import netron

netron.serve_file('my_model.onnx')