Netron Lutz Roeder

Visualizer for neural network, deep learning, and machine learning models

README

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

Netron supports ONNX, TensorFlow Lite, Core ML, Keras, Caffe, Darknet, MXNet, PaddlePaddle, ncnn, MNN and TensorFlow.js.

Netron has experimental support for PyTorch, TorchScript, TensorFlow, OpenVINO, RKNN, MediaPipe, ML.NET and scikit-learn.

Install

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

• ONNX: squeezenet [open]
• TensorFlow Lite: yamnet [open]
• TensorFlow: chessbot [open]
• Keras: mobilenet [open]
• TorchScript: traced_online_pred_layer [open]
• Core ML: exermote [open]
• Darknet: yolo [open]