Aidge bridge to onnx framework, contains algorithms to import and export models.
Project description
Aidge ONNX library
This python library implements the ONNX import into Aidge.
Quick start
System Requirements
python >= 3.10onnxaidge_core
pip install aidge-onnx
🛠 Build from Source
Prerequisite (in addition to previous one):
- Please review the global installation instructions before proceeding.
- If using a virtual environment, use the same one for all Aidge modules.
1. Python installation using setup scripts
| Environment | Python Development |
|---|---|
| Windows | .\setup.ps1 -Modules onnx -Tests |
| Unix | ./setup.sh -m onnx --tests |
[!TIP] Use
Get-Help setup.ps1(Windows) or./setup.sh -h(Unix) for full documentation.
2. Python Installation (pip)
Run these commands from the aidge_onnx/ directory:
#fStandard install
pip install . -v
# Install with testing dependencies
pip install .[test] -v && pytest
Editable Install (Experimental)
Use this for real-time development without re-installing.
pip install --no-build-isolation -ve . --config-settings=editable.rebuild=true -Cbuild-dir=build
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