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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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| .. | ||
| 0001-disable-tests.patch | ||
| 0001-disable-werror.patch | ||
| 0001-fix-openmp-checking.patch | ||
| 0001-Supply-firmware-at-build-time.patch | ||
| 0001-use-provided-paths.patch | ||
| 0002-use-ade-and-pugixml-from-system.patch | ||
| 0007-Install-sample-apps-and-format_reader-library.patch | ||