I’m interested in using the places365 dataset (https://github.com/CSAILVision/places365) for a hackathon project involving transfer learning and image similarity as it’s a good fit for my problem space, and they have pretrained weights available for most of the major models but they provide them in caffe which I’ve never used and don’t have time to learn in the context of the hackathon.
I tried using https://github.com/ethereon/caffe-tensorflow which is supposed to map from one to the other but wasn’t able to get it working on the vgg16 model.
Has anyone had any luck with this? I’ve googled around for solutions to my issue but nothing seems to solve the problem. I honestly only need the weights for vgg pretrained on places365 but I’m likely going to have to just go with imagenet weights and hope it works okay.
Thanks in advance.