Netron is a viewer for neural network, deep learning and machine learning models.
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Netron supports ONNX (
.onnx , .pb , .pbtxt ), Keras (.h5 , .keras ), Core ML (.mlmodel ), Caffe (.caffemodel , .prototxt ), Caffe2 (predict_net.pb ), Darknet (.cfg ), MXNet (.model , -symbol.json ), Barracuda (.nn ), ncnn (.param ), Tengine (.tmfile ), TNN (.tnnproto ), UFF (.uff ) and TensorFlow Lite (.tflite ). Notebook the app.
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 ), PaddlePaddle (.zip , __model__ ), OpenVINO (.xml ), scikit-learn (.pkl ), 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 https://wowclever584.weebly.com/how-to-have-apps-on-mac.html.
Windows: Download the
.exe installer or run winget install netron
Browser: Start https://ticketsyellow629.weebly.com/freeware-download-ezcap-video-grabber-software-for-mac.html. 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: https://talogvi.hatenablog.com/entry/2020/11/25/193539. Sybase odbc driver windows.
Behringer Neutron Review
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