Ingen beskrivning

Lutz Roeder 1819fd80c7 Fix Chainer module name check 5 år sedan
.github 4700a234c3 Add .github folder 6 år sedan
.vscode 9c5d5ff93a Exclude node_modules and build in vscode 7 år sedan
setup 4bcc229dff Add macOS notarization 6 år sedan
src 1819fd80c7 Fix Chainer module name check 5 år sedan
test 5d5616c9c6 Detect invalid content (#458) 5 år sedan
tools b0e838f7af Update tf-metadata.json 6 år sedan
.eslintrc.json b580a04157 Workaround google/flatbuffers#5822 6 år sedan
.gitattributes 7f59d7662f Support variadic and control edges 8 år sedan
.gitignore 27c05501d3 Build to dist folder 6 år sedan
DEVELOPMENT.md cca1f3b8c1 Update DEVELOPMENT.md (#438) 6 år sedan
LICENSE 0157c86a27 Update license 9 år sedan
Makefile cb61349066 Update Tengine prototype (#440) 6 år sedan
README.md 7f971575ac Add Tengine prototype (#451) 6 år sedan
electron-builder.yml 7f971575ac Add Tengine prototype (#451) 6 år sedan
package.json f9a10d6f70 Update to 4.0.5 6 år sedan
setup.cfg 27c05501d3 Build to dist folder 6 år sedan
setup.py 7f971575ac Add Tengine prototype (#451) 6 år sedan

README.md

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

Netron supports ONNX (.onnx, .pb, .pbtxt), Keras (.h5, .keras), Core ML (.mlmodel), Caffe (.caffemodel, .prototxt), Caffe2 (predict_net.pb, predict_net.pbtxt), Darknet (.cfg), MXNet (.model, -symbol.json), ncnn (.param) and TensorFlow Lite (.tflite).

Netron has experimental support for TorchScript (.pt, .pth), PyTorch (.pt, .pth), Torch (.t7), Arm NN (.armnn), BigDL (.bigdl, .model), Chainer (.npz, .h5), CNTK (.model, .cntk), Deeplearning4j (.zip), MediaPipe (.pbtxt), ML.NET (.zip), MNN (.mnn), OpenVINO (.xml), PaddlePaddle (.zip, __model__), scikit-learn (.pkl), Tengine (.tmfile), TensorFlow.js (model.json, .pb) and TensorFlow (.pb, .meta, .pbtxt, .ckpt, .index).

Install

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

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

Windows: Download the .exe installer.

Browser: Start the browser version.

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

Models

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