![[ONNX] Netron : ONNX model Visualization](https://img1.daumcdn.net/thumb/R750x0/?scode=mtistory2&fname=https%3A%2F%2Fblog.kakaocdn.net%2Fdn%2FbWAhE7%2FbtqFK3oNPdI%2Fcq5fRUWiek6Bze26ivzkck%2Fimg.png)
ONNX 모델을 netron Visualization 할 수 있다.
https://github.com/lutzroeder/netron
lutzroeder/netron
Visualizer for neural network, deep learning and machine learning models - lutzroeder/netron
github.com
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).
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).
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