> mkdir build > cd build > cmake -DBUILD_DEMO_APP=ON .. > make > cp -r ../data . > demo/demo --help > demo/demo -i path/to/some/image.png -r
The Demo program will write a couple of PNGs with debug vision data.
The shared library can be easily integrated into you build system.
It depends on Caffe. For execution on Nao v5 the optimized Caffe fork from https://github.com/tkalbitz/caffe is recommended.
The network weights for the object classifier are not part of this release.
A code release of the full suite of tools to label images and train new object classifier nets is being prepared.
Teams interested in our pre-trained nets may contact firstname.lastname@example.org for further information.
A C++14 compatible compiler is needed to run the software.
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