I heard that there is some good integration of caffe and pytorch with the 1.0 release. I am trying to use the modified GoogleLeNet model that has been trained on the Compcars dataset. The pretrained caffe model and the weights are available here: https://gist.github.com/bogger/b90eb88e31cd745525ae
So, basically what is available is the
prototxt model definition file and the
caffemodel weights file. So, I was looking into the documentation for pytorch 1.0 and came across the following tutorial: https://pytorch.org/tutorials/advanced/super_resolution_with_caffe2.html
I also saw some converters online for converting the caffemodel file to PTH. I was wondering if there is something built into pytorch 1.0 to sort of somehow take the caffe model definition and weight files and generate the model from this?