ONNX model visualizer. You can edit model structure with GUI!

• NodeGraphQt
• PySide2
• Qt.py
• Numpy
• Pillow
• onnx
• onnx-simplifier
• onnx_graphsurgeon
• simple-onnx-processing-tools
• networkx
• grandalf

sudo apt install python3-pyside2* git clone https://github.com/fateshelled/OnnxGraphQt cd OnnxGraphQt python3 -m pip install -U nvidia-pyindex python3 -m pip install -U Qt.py # If you want to use InferenceTest, install onnxruntime or onnxruntime-gpu # python3 -m pip install -U onnxruntime # python3 -m pip install -U onnxruntime-gpu python3 -m pip install -U -r requirements.txt # Install OnnxGraphQt python3 -m pip install .

git clone https://github.com/fateshelled/OnnxGraphQt cd OnnxGraphQt # build docker image ./docker/build.bash # run ./docker/run.bash

# Open empty graph onnxgraphqt # Open with onnx model onnxgraphqt onnxgraphqt/data/mobilenetv2-7.onnx 

Open file dialog from menubar(File - Open) or drag and drop from file manager to main window.

Sample model is available at ONNXGraphQt/onnxgraphqt/data/mobilenetv2-7.onnx

Export to ONNX file or Json file.

Double click on Node for more information.

Node search window can be open from menubar(View - Search). You can search node by name, type, input or output name.

Please refer to each tool's Github repository for detailed usage.

• Generate Operator [sog4onnx]
• Add Node [sna4onnx]
• Combine Network [snc4onnx]
• Extract Network [sne4onnx]
• Rename Operator [sor4onnx]
• Modify Attributes and Constant [sam4onnx]
• Input Channel Conversion [scc4onnx]
• Initialize Batchsize [sbi4onnx]
• Change Opset [soc4onnx]
• Constant Value Shrink [scs4onnx]
• Delete Node [snd4onnx])]
• Inference Test [sit4onnx]
• Change the INPUT and OUTPUT shape [sio4onnx]

• Add Simple Structure Checker[ssc4onnx]

• https://github.com/jchanvfx/NodeGraphQt
• https://github.com/lutzroeder/netron
• https://github.com/PINTO0309/simple-onnx-processing-tools
• https://fdwr.github.io/LostOnnxDocs/OperatorFormulas.html
• https://github.com/onnx/onnx/blob/main/docs/Operators.md