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We don't want to install sample sources. So delete them and install the
binaries instead. Also make sure that we're installing the python
samples and modules at correct location. Remove the tweaks from local
patch and copy in the recipe itself.
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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Release notes:
https://software.intel.com/en-us/articles/OpenVINO-RelNotes
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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* use the files from SRC_URI instead of fetching them during
configure
* use the firmware files CMake would download during configure
when not provided already, I haven't found any changelog to
find out what's the difference between
firmware_ma2x8x_784.zip firmware_ma2x8x_mdk_R9.8.zip
firmware_ma2450_759W.zip firmware_ma2450_784.zip
firmware_mv0262_784.zip firmware_mv0262_mdk_R9.8.zip
so to be safe use whatever CMake does and what I was testing
on raspberrypi4 before (because of missing this fix).
-- Downloading from https://download.01.org/opencv/2019/openvinotoolkit/R3/inference_engine/firmware_ma2450_759W.zip to dldt-inference-engine/2019r3-r0/git/inference-engine/temp/download/firmware_ma2450_759W.zip ...
-- Downloading from https://download.01.org/opencv/2019/openvinotoolkit/R3/inference_engine/firmware_ma2x8x_mdk_R9.8.zip to dldt-inference-engine/2019r3-r0/git/inference-engine/temp/download/firmware_ma2x8x_mdk_R9.8.zip ...
-- Downloading from https://download.01.org/opencv/2019/openvinotoolkit/R3/inference_engine/firmware_mv0262_mdk_R9.8.zip to dldt-inference-engine/2019r3-r0/git/inference-engine/temp/download/firmware_mv0262_mdk_R9.8.zip ...
* add PACKAGECONFIG verbose for VERBOSE_BUILD so it's easier
to debug which firmware files are being used, in this case:
log.do_configure will show:
-- ma2450=../mvnc/MvNCAPI-ma2450.mvcmd
-- ma2x8x=../mvnc/MvNCAPI-ma2x8x.mvcmd
-- mv0262=../mvnc/MvNCAPI-mv0262.mvcmd
* the patch is very loosely based on the patch removed here:
http://git.yoctoproject.org/cgit/cgit.cgi/meta-intel/diff/dynamic-layers/openembedded-layer/recipes-support/opencv/files/0003-Supply-firmware-at-build-time.patch?id=649456856dc38086e7d43d740d68198e3395b067
but I've reworked it competely to simplify this mess :)
Signed-off-by: Martin Jansa <Martin.Jansa@gmail.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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share/doc
* otherwise components depending on them won't be able to find them
Signed-off-by: Martin Jansa <Martin.Jansa@gmail.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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Refresh patches so that they apply cleanly on 2019r3.
Signed-off-by: Chin Huat Ang <chin.huat.ang@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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Package libmock_engine.so as part of dldt-inference-engine-ptest and
update run-ptest to set LD_LIBRARY_PATH to fix the following
InferenceEngineUnitTests failures:
FAIL: 12 tests, listed below:
FAIL: PluginTest.canCreatePlugin
FAIL: PluginTest.canCreatePluginUsingSmartPtr
FAIL: PluginTest.shouldThrowExceptionIfPluginNotExist
FAIL: PluginTest.canCallErrorHandlerIfNecessary
FAIL: PluginTest.canForwardPluginEnginePtr
FAIL: PluginTest.canSetConfiguration
FAIL: PluginDispatcherTests.canLoadMockPlugin
FAIL: PluginDispatcherTests.returnsIfLoadSuccessfull
FAIL: SharedObjectLoaderTests.canLoadExistedPlugin
FAIL: SharedObjectLoaderTests.canFindExistedMethod
FAIL: SharedObjectLoaderTests.throwIfMethodNofFoundInLibrary
FAIL: SharedObjectLoaderTests.canCallExistedMethod
Signed-off-by: Chin Huat Ang <chin.huat.ang@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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Install clDNN to /usr/lib to resolve the following inference engine
error when running with GPU plugin:
[ ERROR ] Failed to create plugin libclDNNPlugin.so for device GPU
Please, check your environment
Cannot load library 'libclDNNPlugin.so': libclDNNPlugin.so: cannot open
shared object file: No such file or directory
/usr/src/debug/dldt-inference-engine/2019r2-r0/git/inference-engine/include/details/os/lin_shared_object_loader.h:36
/usr/src/debug/dldt-inference-engine/2019r2-r0/git/inference-engine/src/inference_engine/ie_core.cpp:277
Signed-off-by: Chin Huat Ang <chin.huat.ang@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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* Release notes:
https://software.intel.com/en-us/articles/OpenVINO-RelNotes
* Enable unit tests to be built and tested using ptest mechanism.
* Include patches from Clear Linux for build fixes.
* Switch to using python3 and threading to using TBB. Switch ENABLE_OPENCV
to off so opencv from system is used.
* Remove do_install and patch Makefiles instead to install libraries correctly.
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
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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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