# netron

**Repository Path**: altriasjy31/netron

## Basic Information

- **Project Name**: netron
- **Description**: import from github for efficient downloading
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2022-10-25
- **Last Updated**: 2022-10-25

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

<div align="center">
<img width="400px" height="100px" src="https://github.com/lutzroeder/netron/raw/main/.github/logo-light.svg#gh-light-mode-only">
<img width="400px" height="100px" src="https://github.com/lutzroeder/netron/raw/main/.github/logo-dark.svg#gh-dark-mode-only">
</div>

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

Netron supports ONNX, TensorFlow Lite, Caffe, Keras, Darknet, PaddlePaddle, ncnn, MNN, Core ML, RKNN, MXNet, MindSpore Lite, TNN, Barracuda, Tengine, CNTK, TensorFlow.js, Caffe2 and UFF.

Netron has experimental support for PyTorch, TensorFlow, TorchScript, OpenVINO, Torch, Vitis AI, kmodel, Arm NN, BigDL, Chainer, Deeplearning4j, MediaPipe, MegEngine, ML.NET and scikit-learn.

<p align='center'><a href='https://www.lutzroeder.com/ai'><img src='.github/screenshot.png' width='800'></a></p>

## Install

**macOS**: [**Download**](https://github.com/lutzroeder/netron/releases/latest) the `.dmg` file or run `brew install 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://media.githubusercontent.com/media/onnx/models/main/vision/classification/squeezenet/model/squeezenet1.0-3.onnx) [[open](https://netron.app?url=https://media.githubusercontent.com/media/onnx/models/main/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/resolve/main/lite-model_yamnet_tflite_1.tflite)]
 * **TensorFlow**: [chessbot](https://raw.githubusercontent.com/srom/chessbot/master/model/chessbot.pb) [[open](https://netron.app?url=https://raw.githubusercontent.com/srom/chessbot/master/model/chessbot.pb)]
 * **Keras**: [mobilenet](https://raw.githubusercontent.com/aio-libs/aiohttp-demos/master/demos/imagetagger/tests/data/mobilenet.h5) [[open](https://netron.app?url=https://raw.githubusercontent.com/aio-libs/aiohttp-demos/master/demos/imagetagger/tests/data/mobilenet.h5)]
 * **TorchScript**: [traced_online_pred_layer](https://raw.githubusercontent.com/ApolloAuto/apollo/master/modules/prediction/data/traced_online_pred_layer.pt) [[open](https://netron.app?url=https://raw.githubusercontent.com/ApolloAuto/apollo/master/modules/prediction/data/traced_online_pred_layer.pt)]
 * **Core ML**: [exermote](https://raw.githubusercontent.com/Lausbert/Exermote/master/ExermoteInference/ExermoteCoreML/ExermoteCoreML/Model/Exermote.mlmodel) [[open](https://netron.app?url=https://raw.githubusercontent.com/Lausbert/Exermote/master/ExermoteInference/ExermoteCoreML/ExermoteCoreML/Model/Exermote.mlmodel)]
 * **Darknet**: [yolo](https://raw.githubusercontent.com/AlexeyAB/darknet/master/cfg/yolo.cfg) [[open](https://netron.app?url=https://raw.githubusercontent.com/AlexeyAB/darknet/master/cfg/yolo.cfg)]