fanq15 / caffe_to_torch_to_pytorch

Convert caffe to pytorch

Convert caffe to torch

Convert torch to pytorch

• Convert caffe model to pytorch model
• Convert caffe model to torch model
• Convert torch model to pytorch model

• I have tested on vgg16, it behaves well on classification tasks. But I can't guarantee it performs well on other tasks（such as object detection and semantic segmentation). You can try it and modify the code according the bug info. If there are new components in your caffe model, you should add corresponding parts in the code。

Install torch

install loadcaffe

Convert caffe to torch

• Change the path to your own path.

• Put the .prototxt and .caffemodel file in the same folder.

• You will get the vgg16_torch.t7 file.

th caffemodel_to_t7.lua

Convert torch to pytorch

python convert_torch.py -m vgg16_torch.t7

Two file will be created vgg16_torch.py vgg16_torch.pth

Load the .pth model in python

• Make sure the vgg16_torch.py and vgg16_torch.pth files in the same folder with the python workspace.
• The import vgg16_torch means importing the model structure from the vgg16_torch.py.
• The model.load_state_dict means loading weights from vgg16_torch.pth into the model structure.

import vgg16_torch

model = vgg16_torch.vgg16_torch
model.load_state_dict(torch.load('vgg16_torch.pth'))
model.eval()
...

Acknowledgement

• The caffe to torch code is modified from https://github.com/jcjohnson/pytorch-vgg

• The torch to pytorch code is borrowed from https://github.com/clcarwin/convert_torch_to_pytorch