https://ibelem.github.io/netron/
Visualizer for neural network, deep learning, and machine learning models
https://ibelem.github.io/netron/
Last synced: 9 months ago
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Visualizer for neural network, deep learning, and machine learning models
- Host: GitHub
- URL: https://ibelem.github.io/netron/
- Owner: ibelem
- License: mit
- Fork: true (lutzroeder/netron)
- Created: 2023-07-12T03:57:52.000Z (about 3 years ago)
- Default Branch: webnn-status
- Last Pushed: 2024-10-29T05:18:59.000Z (over 1 year ago)
- Last Synced: 2024-10-29T06:20:51.256Z (over 1 year ago)
- Language: JavaScript
- Homepage: https://ibelem.github.io/netron/
- Size: 57.5 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
Awesome Lists containing this project
- awesome-webnn - WebNN Netron - Show WebNN support status in Chromium for models opened in Netron by Belem Zhang (Tools / Other Demos)
README
# WebNN API Support Status in Chromium for AI Models
This tool is based on [Netron](https://github.com/lutzroeder/netron). [Netron](https://github.com/lutzroeder/netron) is a viewer for neural network, deep learning and machine learning models developed by [Lutz Roeder](https://github.com/lutzroeder).
## Getting Started
Visit [https://ibelem.github.io/netron/](https://ibelem.github.io/netron) page, load a model.
Visit [https://ibelem.github.io/netron/?url=https://storage.googleapis.com/mediapipe-models/image_segmenter/selfie_segmenter/float16/latest/selfie_segmenter.tflite](https://ibelem.github.io/netron/?url=https://storage.googleapis.com/mediapipe-models/image_segmenter/selfie_segmenter/float16/latest/selfie_segmenter.tflite).
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**](https://github.com/lutzroeder/netron/releases/latest) the `.dmg` file or run `brew install --cask netron`
**Linux**: [**Download**](https://github.com/lutzroeder/netron/releases/latest) the `.AppImage` file or run `snap install netron`
**Windows**: [**Download**](https://github.com/lutzroeder/netron/releases/latest) the `.exe` installer or run `winget install -s winget netron`
**Browser**: [**Start**](https://netron.app) 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](https://github.com/onnx/models/raw/main/validated/vision/classification/squeezenet/model/squeezenet1.0-3.onnx) [[open](https://netron.app?url=https://github.com/onnx/models/raw/main/validated/vision/classification/squeezenet/model/squeezenet1.0-3.onnx)]
* **TensorFlow Lite**: [yamnet](https://huggingface.co/thelou1s/yamnet/resolve/main/lite-model_yamnet_tflite_1.tflite) [[open](https://netron.app?url=https://huggingface.co/thelou1s/yamnet/blob/main/lite-model_yamnet_tflite_1.tflite)]
* **TensorFlow**: [chessbot](https://github.com/srom/chessbot/raw/master/model/chessbot.pb) [[open](https://netron.app?url=https://github.com/srom/chessbot/raw/master/model/chessbot.pb)]
* **Keras**: [mobilenet](https://github.com/aio-libs/aiohttp-demos/raw/master/demos/imagetagger/tests/data/mobilenet.h5) [[open](https://netron.app?url=https://github.com/aio-libs/aiohttp-demos/raw/master/demos/imagetagger/tests/data/mobilenet.h5)]
* **TorchScript**: [traced_online_pred_layer](https://github.com/ApolloAuto/apollo/raw/master/modules/prediction/data/traced_online_pred_layer.pt) [[open](https://netron.app?url=https://github.com/ApolloAuto/apollo/raw/master/modules/prediction/data/traced_online_pred_layer.pt)]
* **Core ML**: [exermote](https://github.com/Lausbert/Exermote/raw/master/ExermoteInference/ExermoteCoreML/ExermoteCoreML/Model/Exermote.mlmodel) [[open](https://netron.app?url=https://github.com/Lausbert/Exermote/raw/master/ExermoteInference/ExermoteCoreML/ExermoteCoreML/Model/Exermote.mlmodel)]
* **Darknet**: [yolo](https://github.com/AlexeyAB/darknet/raw/master/cfg/yolo.cfg) [[open](https://netron.app?url=https://github.com/AlexeyAB/darknet/raw/master/cfg/yolo.cfg)]