Yeah, after looking through the Python examples on the site, it's an extremely attractive option I want to use, but I get an error of "TypeError: No to_python (by-value) converter found for C++ type: boost::shared_ptr<caffe::Blob<float>>", which apparently was fixed recently. However, if I use the newest build, I'm no longer able to even build the caffe binary, let alone pycaffe, so this isn't an option until I get that issue resolved. But that's all a separate matter--long story short, I can't build the latest Caffe until I get the issue resolved, so I would like to have a non-programmatic way of seeing prediction results as a workaround, otherwise I'll have to wait until I can get help on a different issue.