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authorChin Huat Ang <chin.huat.ang@intel.com>2019-09-27 06:11:51 +0800
committerAnuj Mittal <anuj.mittal@intel.com>2019-09-28 17:18:30 +0800
commit096598691de246c23902d49d228c7562ba2c9cc5 (patch)
tree8df7c03aaf84bd38374ae049ba0f31031c20c6d0 /recipes-core
parent7aef51c962c023f27e3fcda4c2419f1ced9942b9 (diff)
downloadmeta-intel-096598691de246c23902d49d228c7562ba2c9cc5.tar.gz
dldt-inference-engine: add recipe
This recipe builds the inference engine from opencv/dldt 2019 R1.1 release. OpenVINO™ toolkit, short for Open Visual Inference and Neural network Optimization toolkit, provides developers with improved neural network performance on a variety of Intel® processors and helps further unlock cost-effective, real-time vision applications. The toolkit enables deep learning inference and easy heterogeneous execution across multiple Intel® platforms (CPU, Intel® Processor Graphics)—providing implementations across cloud architectures to edge device. For more details, see: https://01.org/openvinotoolkit The recipe needs components from meta-oe so move it to dynamic-layers/openembedded-layer. GPU plugin support needs intel-compute-runtime which can be built by including clang layer in the mix as well. CPU and GPU plugins have been sanity tested to work using classification_sample. Further fine-tuning is still needed to improve the performance. Original patch by Anuj Mittal. Signed-off-by: Chin Huat Ang <chin.huat.ang@intel.com> Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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