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), Darknet (.cfg), MXNet (.model, -symbol.json), Barracuda (.nn), ncnn (.param), Tengine (.tmfile), TNN (.tnnproto), UFF (.uff) and TensorFlow Lite (.tflite).
The latest version of X-AIR-Edit is 1.3 on Mac Informer. It is a perfect match for Device Assistants in the System Tools category. The app is developed by Behringer and its user rating is 5 out of 5. FCB/UnO Control Center lets you manage setups for the original FCB1010 and for the 'UnO equipped' FCB1010. (see www.fcb1010.eu to learn about UnO) Both a native Mac version and a native Windows version are available. The editor design focuses on usability. Behringer today released a new firmware for its Neutron Eurorack synthesizer, adding new features and support for the Neutron application. The new app lets you connect your computer to the Neutron, via USB, and edit its settings. Here’s what’s new in Neutron v2.0: Added full support for the Neutron Application. For more details please see the.
Behringer Neutron Overlay 2.0
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
Windows: Download the .exe installer or run winget install netron
Browser: Start the browser version.
Behringer Neutron Review
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:
Behringer Neutron Update
- ONNX: squeezenet [open]
- CoreML: exermote [open]
- Darknet: yolo [open]
- Keras: mobilenet [open]
- MXNet: inception_v3 [open]
- TensorFlow: chessbot [open]
- TensorFlow Lite: hair_segmentation [open]
- TorchScript: traced_online_pred_layer [open]
- Caffe: mobilenet_v2 [open]