Prediction in Caffe - Exception: Input blob arguments do not match net inputs

Question

I\'m using Caffe for classifying non-image data using a quite simple CNN structure. I\'ve had no problems training my network on my HDF5-data with dimensions n x 1 x 156 x 12. H

Answer 1

Only due to my own experimental experience, it's not a very good idea to specify train and test net in one file using {PHASE} clause. I got many weird errors when I used net file like that, but when I used older version of net files which contain two files separately, train and test, it worked. However I was using caffe version in Nov 2014, perhaps there's some bug or compatible issues there.

Well, when the model is used for prediction, shouldn't there be a deploy file specifying the net structure? If you look at ImageNet you should find imagenet_deploy.prototxt there. Although deploy file is similar to train/test file, I heard it's a bit different due to some fillers. I don't know if it's the problem, but any discussion is welcome, I need to learn new caffe schema if there exist too