Himanshu Upreti's Page

Caffe2 supports exporting models directly to ONNX. Here are the steps:

1. Install Caffe2 by following the instructions provided in the official Caffe2 documentation.

2. Import the necessary libraries in your Python script:

   from caffe2.python.onnx import backend as caffe2_backend
   import torch.onnx

3. Load your Caffe2 model into PyTorch:

   # Assuming you already have a Caffe2 model loaded
   torch_model = torch.onnx.load("path/to/caffe2_model.pb")

4. Export the PyTorch model to ONNX:

   torch.onnx.export(torch_model, torch.randn(1, 3, 224, 224), "path/to/exported_model.onnx", verbose=True)

   Adjust the input shape and replace “path/to/exported_model.onnx” with the desired path to save the ONNX file.