Ingen beskrivning

Lutz Roeder d36e1b59cb Update sklearn-metadata.json 4 år sedan
.github 7094e5f115 Update README.md logo (#651) 4 år sedan
.vscode b6a3fea441 Update launch.json 4 år sedan
publish ac70cccc8c Add no-console lint rule 4 år sedan
source d36e1b59cb Update sklearn-metadata.json 4 år sedan
test d23ed691fe Add ncnn test files (#296) (#860) 4 år sedan
tools 17a4a9a2a4 Update scikit-learn script 4 år sedan
.gitignore d90233efdc Move test data folder 5 år sedan
LICENSE 0157c86a27 Update license 9 år sedan
Makefile b5d8a1ae63 Update Circle script (#790) 4 år sedan
README.md 7094e5f115 Update README.md logo (#651) 4 år sedan
electron-builder.yml f48c92dcc9 Update to electron-builder 22.14.5 4 år sedan
package.json dbce1ddfde Update to 5.4.7 4 år sedan

README.md

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

Netron supports ONNX, TensorFlow Lite, Caffe, Keras, Darknet, PaddlePaddle, ncnn, MNN, Core ML, RKNN, MXNet, MindSpore Lite, TNN, Barracuda, Tengine, CNTK, TensorFlow.js, Caffe2 and UFF.

Netron has experimental support for PyTorch, TensorFlow, TorchScript, OpenVINO, Torch, Vitis AI, Arm NN, BigDL, Chainer, Deeplearning4j, MediaPipe, ML.NET and scikit-learn.

Install

macOS: Download the .dmg file or run brew install netron

Linux: Download the .AppImage file or run snap install netron

Windows: Download the .exe installer or run winget install -s winget netron

Browser: Start the browser version.

Python Server: Run pip install netron and netron [FILE] or netron.start('[FILE]').

Models

Sample model files to download or open using the browser version: