This guide is for users who want to convert their onnx models to the ncnn format.
The onnx2ncnn tool is now considered legacy. We strongly recommend using pnnx for all model conversion tasks.
pnnx is the new-generation model converter that is actively developed and maintained. It offers a more robust and flexible solution for converting models from various deep learning frameworks into ncnn.
- pnnx: https://github.com/pnnx/pnnx
- ncnn: https://github.com/Tencent/ncnn
- supported onnx operators: https://github.com/Tencent/ncnn/tree/master/tools/pnnx#supported-onnx-operator-status
Using pnnx to convert an onnx model is straightforward.
Install pnnx and run the conversion.
pip3 install pnnx
# Syntax: pnnx <onnx_model_path>
# Example:
pnnx my_model.onnxAfter running the command, you will get my_model.ncnn.param and my_model.ncnn.bin, ready for use with ncnn.