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The pyreformation BVLC#1703 aligned pycaffe Net with the real Caffe Net. This broke the pre-processing helpers that had been bolted on to `caffe.Net`. These responsibilities are gathered in `caffe.io.Transformer` instead. This is only an intermediate step in a real solution to pycaffe IO that should make use of the same data pipeline as the rest of the framework. See BVLC#1245 for further thoughts on input processing.
This is a quick translation of the examples to the caffe.io.Transformer interface. The results are not strictly identical to the earlier implementation! The models now use a mean pixel instead of a mean image for simplicity. The output classifications and detections are preserved but scores may differ. Note: the examples will be rewritten to make use of `caffe.Net` alone since it is the true interface, but not yet.
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Until the pyreformation of #1703 is completed by examples and documentation this PR fixes the current examples and takes a step in the right direction for the interface by separating pre-processing from Net.
The pycaffe interface examples will switch to
caffe.Netalone in the future since it is the true interface. Upcoming documentation will address #1774.