| Message ID | 20250222015358.3543400-1-afd@ti.com |
|---|---|
| State | Superseded |
| Delegated to: | Ryan Eatmon |
| Headers | show |
| Series | [meta-arago,scarthgap] meta-arago-extras: Add recipe for NNStreamer | expand |
On Fri, Feb 21, 2025 at 07:53:58PM -0600, Andrew Davis via lists.yoctoproject.org wrote: > NNStreamer is an efficient and flexible stream pipeline framework for > complex neural network applications. > > NNStreamer provides a set of GStreamer plugins so developers may apply > neural networks, attach related frameworks (including ROS, IIO, > FlatBuffers, and Protocol Buffers), and manipulate tensor data streams > in GStreamer pipelines easily and execute such pipelines efficiently. > > It was initially developed by Samsung and then transferred to LF AI > Foundation as an incubation project. FWIW, nnstreamer project on github has its own meta-neural-network layer with a corresponding nnstreamer recipe: https://github.com/nnstreamer/meta-neural-network https://github.com/nnstreamer/meta-neural-network/blob/master/recipes-nnstreamer/nnstreamer/nnstreamer_2.4.2.bb > Learn more at https://nnstreamer.ai/ > > Signed-off-by: Andrew Davis <afd@ti.com> > --- > .../nnstreamer/nnstreamer_2.4.0.bb | 68 +++++++++++++++++++ > 1 file changed, 68 insertions(+) > create mode 100644 meta-arago-extras/recipes-multimedia/nnstreamer/nnstreamer_2.4.0.bb > > diff --git a/meta-arago-extras/recipes-multimedia/nnstreamer/nnstreamer_2.4.0.bb b/meta-arago-extras/recipes-multimedia/nnstreamer/nnstreamer_2.4.0.bb > new file mode 100644 > index 00000000..55de11e8 > --- /dev/null > +++ b/meta-arago-extras/recipes-multimedia/nnstreamer/nnstreamer_2.4.0.bb > @@ -0,0 +1,68 @@ > +SUMMARY = "NNStreamer, Stream Pipeline Paradigm for Nerual Network Applications" > +DESCRIPTION = "NNStreamer is a set of Gstreamer plugins that allow Gstreamer developers to adopt neural network models easily and efficiently." > +LICENSE = "LGPL-2.1-only" > +LIC_FILES_CHKSUM = "file://LICENSE;md5=c25e5c1949624d71896127788f1ba590" > + > +SRC_URI = "git://github.com/nnstreamer/nnstreamer.git;branch=main;protocol=https" > +PV = "2.4.0+git" > +SRCREV = "7c57c288250578cad598f065b6fda6c0ff720cf9" > + > +S = "${WORKDIR}/git" > + > +inherit meson pkgconfig > + > +DEPENDS = " \ > + orc-native \ > + glib-2.0 \ > + gstreamer1.0 \ > + gstreamer1.0-plugins-base \ > + python3 \ > + python3-numpy \ > + json-glib \ > +" > + > +PACKAGECONFIG ??= " \ > + protobuf \ > + flatbuffers \ > + tests \ > + armnn \ > + onnxruntime \ > + tensorflow-lite \ > +" > + > +PACKAGECONFIG[tests] = "-Denable-test=true -Dinstall-test=true, -Denable-test=false, gtest" > +PACKAGECONFIG[protobuf] = "-Dprotobuf-support=enabled, -Dprotobuf-support=disabled, protobuf protobuf-native" > +PACKAGECONFIG[flatbuffers] = "-Dflatbuf-support=enabled, -Dflatbuf-support=disabled, flatbuffers flatbuffers-native" > +PACKAGECONFIG[armnn] = "-Darmnn-support=enabled, -Darmnn-support=disabled, armnn" > +PACKAGECONFIG[onnxruntime] = "-Donnxruntime-support=enabled, -Donnxruntime-support=disabled, onnxruntime" > +PACKAGECONFIG[tensorflow-lite] = "-Dtflite2-support=enabled, -Dtflite2-support=disabled, tensorflow-lite" > + > +do_install:append() { > + CP_ARGS="-Prf --preserve=mode,timestamps --no-preserve=ownership" > + > + # Install test data > + install -d ${D}/${bindir}/unittest-nnstreamer/tests > + cp $CP_ARGS ${S}/tests/test_models ${D}/${bindir}/unittest-nnstreamer/tests > + rm -f ${D}/${bindir}/unittest-nnstreamer/tests/test_models/models/tvm* > +} > + > +FILES:${PN} += "\ > + ${libdir}/*.so \ > + ${libdir}/gstreamer-1.0/*.so \ > + ${libdir}/nnstreamer/* \ > + ${sysconfdir}/nnstreamer.ini \ > +" > +INSANE_SKIP:${PN} += "dev-so" > + > +PACKAGES =+ "${PN}-tests" > + > +FILES:${PN}-tests += "\ > + ${libdir}/nnstreamer/customfilters/* \ > + ${bindir}/unittest-nnstreamer/* \ > +" > + > +FILES:${PN}-dev = "\ > + ${includedir}/nnstreamer/* \ > + ${libdir}/*.a \ FWIW, these get automatically packaged into ${PN}-staticdev > + ${libdir}/pkgconfig/*.pc \ > +" > -- > 2.39.2
On 2/21/25 8:25 PM, Denys Dmytriyenko wrote: > On Fri, Feb 21, 2025 at 07:53:58PM -0600, Andrew Davis via lists.yoctoproject.org wrote: >> NNStreamer is an efficient and flexible stream pipeline framework for >> complex neural network applications. >> >> NNStreamer provides a set of GStreamer plugins so developers may apply >> neural networks, attach related frameworks (including ROS, IIO, >> FlatBuffers, and Protocol Buffers), and manipulate tensor data streams >> in GStreamer pipelines easily and execute such pipelines efficiently. >> >> It was initially developed by Samsung and then transferred to LF AI >> Foundation as an incubation project. > > FWIW, nnstreamer project on github has its own meta-neural-network layer with > a corresponding nnstreamer recipe: > https://github.com/nnstreamer/meta-neural-network > https://github.com/nnstreamer/meta-neural-network/blob/master/recipes-nnstreamer/nnstreamer/nnstreamer_2.4.2.bb > I did find that earlier when looking for existing recipes for this framework, but that recipe needs some work. That layer also pulls in a bunch of other stuff we don't need/want. I did use that as a kicking-off point. I'll try to push back my fixes at some point. Maybe we can work to move that into a more common layer. > >> Learn more at https://nnstreamer.ai/ >> >> Signed-off-by: Andrew Davis <afd@ti.com> >> --- >> .../nnstreamer/nnstreamer_2.4.0.bb | 68 +++++++++++++++++++ >> 1 file changed, 68 insertions(+) >> create mode 100644 meta-arago-extras/recipes-multimedia/nnstreamer/nnstreamer_2.4.0.bb >> >> diff --git a/meta-arago-extras/recipes-multimedia/nnstreamer/nnstreamer_2.4.0.bb b/meta-arago-extras/recipes-multimedia/nnstreamer/nnstreamer_2.4.0.bb >> new file mode 100644 >> index 00000000..55de11e8 >> --- /dev/null >> +++ b/meta-arago-extras/recipes-multimedia/nnstreamer/nnstreamer_2.4.0.bb >> @@ -0,0 +1,68 @@ >> +SUMMARY = "NNStreamer, Stream Pipeline Paradigm for Nerual Network Applications" >> +DESCRIPTION = "NNStreamer is a set of Gstreamer plugins that allow Gstreamer developers to adopt neural network models easily and efficiently." >> +LICENSE = "LGPL-2.1-only" >> +LIC_FILES_CHKSUM = "file://LICENSE;md5=c25e5c1949624d71896127788f1ba590" >> + >> +SRC_URI = "git://github.com/nnstreamer/nnstreamer.git;branch=main;protocol=https" >> +PV = "2.4.0+git" >> +SRCREV = "7c57c288250578cad598f065b6fda6c0ff720cf9" >> + >> +S = "${WORKDIR}/git" >> + >> +inherit meson pkgconfig >> + >> +DEPENDS = " \ >> + orc-native \ >> + glib-2.0 \ >> + gstreamer1.0 \ >> + gstreamer1.0-plugins-base \ >> + python3 \ >> + python3-numpy \ >> + json-glib \ >> +" >> + >> +PACKAGECONFIG ??= " \ >> + protobuf \ >> + flatbuffers \ >> + tests \ >> + armnn \ >> + onnxruntime \ >> + tensorflow-lite \ >> +" >> + >> +PACKAGECONFIG[tests] = "-Denable-test=true -Dinstall-test=true, -Denable-test=false, gtest" >> +PACKAGECONFIG[protobuf] = "-Dprotobuf-support=enabled, -Dprotobuf-support=disabled, protobuf protobuf-native" >> +PACKAGECONFIG[flatbuffers] = "-Dflatbuf-support=enabled, -Dflatbuf-support=disabled, flatbuffers flatbuffers-native" >> +PACKAGECONFIG[armnn] = "-Darmnn-support=enabled, -Darmnn-support=disabled, armnn" >> +PACKAGECONFIG[onnxruntime] = "-Donnxruntime-support=enabled, -Donnxruntime-support=disabled, onnxruntime" >> +PACKAGECONFIG[tensorflow-lite] = "-Dtflite2-support=enabled, -Dtflite2-support=disabled, tensorflow-lite" >> + >> +do_install:append() { >> + CP_ARGS="-Prf --preserve=mode,timestamps --no-preserve=ownership" >> + >> + # Install test data >> + install -d ${D}/${bindir}/unittest-nnstreamer/tests >> + cp $CP_ARGS ${S}/tests/test_models ${D}/${bindir}/unittest-nnstreamer/tests >> + rm -f ${D}/${bindir}/unittest-nnstreamer/tests/test_models/models/tvm* >> +} >> + >> +FILES:${PN} += "\ >> + ${libdir}/*.so \ >> + ${libdir}/gstreamer-1.0/*.so \ >> + ${libdir}/nnstreamer/* \ >> + ${sysconfdir}/nnstreamer.ini \ >> +" >> +INSANE_SKIP:${PN} += "dev-so" >> + >> +PACKAGES =+ "${PN}-tests" >> + >> +FILES:${PN}-tests += "\ >> + ${libdir}/nnstreamer/customfilters/* \ >> + ${bindir}/unittest-nnstreamer/* \ >> +" >> + >> +FILES:${PN}-dev = "\ >> + ${includedir}/nnstreamer/* \ >> + ${libdir}/*.a \ > > FWIW, these get automatically packaged into ${PN}-staticdev > Let me remove this and see where those go. Andrew > >> + ${libdir}/pkgconfig/*.pc \ >> +" >> -- >> 2.39.2
On 2/21/2025 8:53 PM, Andrew Davis wrote: > On 2/21/25 8:25 PM, Denys Dmytriyenko wrote: >> On Fri, Feb 21, 2025 at 07:53:58PM -0600, Andrew Davis via >> lists.yoctoproject.org wrote: >>> NNStreamer is an efficient and flexible stream pipeline framework for >>> complex neural network applications. >>> >>> NNStreamer provides a set of GStreamer plugins so developers may apply >>> neural networks, attach related frameworks (including ROS, IIO, >>> FlatBuffers, and Protocol Buffers), and manipulate tensor data streams >>> in GStreamer pipelines easily and execute such pipelines efficiently. >>> >>> It was initially developed by Samsung and then transferred to LF AI >>> Foundation as an incubation project. >> >> FWIW, nnstreamer project on github has its own meta-neural-network >> layer with >> a corresponding nnstreamer recipe: >> https://github.com/nnstreamer/meta-neural-network >> https://github.com/nnstreamer/meta-neural-network/blob/master/recipes-nnstreamer/nnstreamer/nnstreamer_2.4.2.bb >> > > I did find that earlier when looking for existing recipes for this > framework, but that recipe needs some work. That layer also pulls > in a bunch of other stuff we don't need/want. > > I did use that as a kicking-off point. I'll try to push back my > fixes at some point. Maybe we can work to move that into a more > common layer. > >> >>> Learn more at https://nnstreamer.ai/ >>> >>> Signed-off-by: Andrew Davis <afd@ti.com> >>> --- >>> .../nnstreamer/nnstreamer_2.4.0.bb | 68 +++++++++++++++++++ >>> 1 file changed, 68 insertions(+) >>> create mode 100644 >>> meta-arago-extras/recipes-multimedia/nnstreamer/nnstreamer_2.4.0.bb >>> >>> diff --git >>> a/meta-arago-extras/recipes-multimedia/nnstreamer/nnstreamer_2.4.0.bb >>> b/meta-arago-extras/recipes-multimedia/nnstreamer/nnstreamer_2.4.0.bb >>> new file mode 100644 >>> index 00000000..55de11e8 >>> --- /dev/null >>> +++ >>> b/meta-arago-extras/recipes-multimedia/nnstreamer/nnstreamer_2.4.0.bb >>> @@ -0,0 +1,68 @@ >>> +SUMMARY = "NNStreamer, Stream Pipeline Paradigm for Nerual Network >>> Applications" >>> +DESCRIPTION = "NNStreamer is a set of Gstreamer plugins that allow >>> Gstreamer developers to adopt neural network models easily and >>> efficiently." >>> +LICENSE = "LGPL-2.1-only" >>> +LIC_FILES_CHKSUM = >>> "file://LICENSE;md5=c25e5c1949624d71896127788f1ba590" >>> + >>> +SRC_URI = >>> "git://github.com/nnstreamer/nnstreamer.git;branch=main;protocol=https" >>> +PV = "2.4.0+git" >>> +SRCREV = "7c57c288250578cad598f065b6fda6c0ff720cf9" >>> + >>> +S = "${WORKDIR}/git" >>> + >>> +inherit meson pkgconfig >>> + >>> +DEPENDS = " \ >>> + orc-native \ >>> + glib-2.0 \ >>> + gstreamer1.0 \ >>> + gstreamer1.0-plugins-base \ >>> + python3 \ >>> + python3-numpy \ >>> + json-glib \ >>> +" >>> + >>> +PACKAGECONFIG ??= " \ >>> + protobuf \ >>> + flatbuffers \ >>> + tests \ >>> + armnn \ >>> + onnxruntime \ >>> + tensorflow-lite \ >>> +" >>> + >>> +PACKAGECONFIG[tests] = "-Denable-test=true -Dinstall-test=true, >>> -Denable-test=false, gtest" >>> +PACKAGECONFIG[protobuf] = "-Dprotobuf-support=enabled, >>> -Dprotobuf-support=disabled, protobuf protobuf-native" >>> +PACKAGECONFIG[flatbuffers] = "-Dflatbuf-support=enabled, >>> -Dflatbuf-support=disabled, flatbuffers flatbuffers-native" >>> +PACKAGECONFIG[armnn] = "-Darmnn-support=enabled, >>> -Darmnn-support=disabled, armnn" >>> +PACKAGECONFIG[onnxruntime] = "-Donnxruntime-support=enabled, >>> -Donnxruntime-support=disabled, onnxruntime" >>> +PACKAGECONFIG[tensorflow-lite] = "-Dtflite2-support=enabled, >>> -Dtflite2-support=disabled, tensorflow-lite" >>> + >>> +do_install:append() { >>> + CP_ARGS="-Prf --preserve=mode,timestamps --no-preserve=ownership" >>> + >>> + # Install test data >>> + install -d ${D}/${bindir}/unittest-nnstreamer/tests >>> + cp $CP_ARGS ${S}/tests/test_models >>> ${D}/${bindir}/unittest-nnstreamer/tests >>> + rm -f >>> ${D}/${bindir}/unittest-nnstreamer/tests/test_models/models/tvm* >>> +} >>> + >>> +FILES:${PN} += "\ >>> + ${libdir}/*.so \ >>> + ${libdir}/gstreamer-1.0/*.so \ >>> + ${libdir}/nnstreamer/* \ >>> + ${sysconfdir}/nnstreamer.ini \ >>> +" >>> +INSANE_SKIP:${PN} += "dev-so" >>> + >>> +PACKAGES =+ "${PN}-tests" >>> + >>> +FILES:${PN}-tests += "\ >>> + ${libdir}/nnstreamer/customfilters/* \ >>> + ${bindir}/unittest-nnstreamer/* \ >>> +" >>> + >>> +FILES:${PN}-dev = "\ >>> + ${includedir}/nnstreamer/* \ >>> + ${libdir}/*.a \ >> >> FWIW, these get automatically packaged into ${PN}-staticdev >> > > Let me remove this and see where those go. Are we waiting for a v2 then? > Andrew > >> >>> + ${libdir}/pkgconfig/*.pc \ >>> +" >>> -- >>> 2.39.2
On 2/25/25 4:11 PM, Ryan Eatmon wrote: > > > On 2/21/2025 8:53 PM, Andrew Davis wrote: >> On 2/21/25 8:25 PM, Denys Dmytriyenko wrote: >>> On Fri, Feb 21, 2025 at 07:53:58PM -0600, Andrew Davis via lists.yoctoproject.org wrote: >>>> NNStreamer is an efficient and flexible stream pipeline framework for >>>> complex neural network applications. >>>> >>>> NNStreamer provides a set of GStreamer plugins so developers may apply >>>> neural networks, attach related frameworks (including ROS, IIO, >>>> FlatBuffers, and Protocol Buffers), and manipulate tensor data streams >>>> in GStreamer pipelines easily and execute such pipelines efficiently. >>>> >>>> It was initially developed by Samsung and then transferred to LF AI >>>> Foundation as an incubation project. >>> >>> FWIW, nnstreamer project on github has its own meta-neural-network layer with >>> a corresponding nnstreamer recipe: >>> https://github.com/nnstreamer/meta-neural-network >>> https://github.com/nnstreamer/meta-neural-network/blob/master/recipes-nnstreamer/nnstreamer/nnstreamer_2.4.2.bb >>> >> >> I did find that earlier when looking for existing recipes for this >> framework, but that recipe needs some work. That layer also pulls >> in a bunch of other stuff we don't need/want. >> >> I did use that as a kicking-off point. I'll try to push back my >> fixes at some point. Maybe we can work to move that into a more >> common layer. >> >>> >>>> Learn more at https://nnstreamer.ai/ >>>> >>>> Signed-off-by: Andrew Davis <afd@ti.com> >>>> --- >>>> .../nnstreamer/nnstreamer_2.4.0.bb | 68 +++++++++++++++++++ >>>> 1 file changed, 68 insertions(+) >>>> create mode 100644 meta-arago-extras/recipes-multimedia/nnstreamer/nnstreamer_2.4.0.bb >>>> >>>> diff --git a/meta-arago-extras/recipes-multimedia/nnstreamer/nnstreamer_2.4.0.bb b/meta-arago-extras/recipes-multimedia/nnstreamer/nnstreamer_2.4.0.bb >>>> new file mode 100644 >>>> index 00000000..55de11e8 >>>> --- /dev/null >>>> +++ b/meta-arago-extras/recipes-multimedia/nnstreamer/nnstreamer_2.4.0.bb >>>> @@ -0,0 +1,68 @@ >>>> +SUMMARY = "NNStreamer, Stream Pipeline Paradigm for Nerual Network Applications" >>>> +DESCRIPTION = "NNStreamer is a set of Gstreamer plugins that allow Gstreamer developers to adopt neural network models easily and efficiently." >>>> +LICENSE = "LGPL-2.1-only" >>>> +LIC_FILES_CHKSUM = "file://LICENSE;md5=c25e5c1949624d71896127788f1ba590" >>>> + >>>> +SRC_URI = "git://github.com/nnstreamer/nnstreamer.git;branch=main;protocol=https" >>>> +PV = "2.4.0+git" >>>> +SRCREV = "7c57c288250578cad598f065b6fda6c0ff720cf9" >>>> + >>>> +S = "${WORKDIR}/git" >>>> + >>>> +inherit meson pkgconfig >>>> + >>>> +DEPENDS = " \ >>>> + orc-native \ >>>> + glib-2.0 \ >>>> + gstreamer1.0 \ >>>> + gstreamer1.0-plugins-base \ >>>> + python3 \ >>>> + python3-numpy \ >>>> + json-glib \ >>>> +" >>>> + >>>> +PACKAGECONFIG ??= " \ >>>> + protobuf \ >>>> + flatbuffers \ >>>> + tests \ >>>> + armnn \ >>>> + onnxruntime \ >>>> + tensorflow-lite \ >>>> +" >>>> + >>>> +PACKAGECONFIG[tests] = "-Denable-test=true -Dinstall-test=true, -Denable-test=false, gtest" >>>> +PACKAGECONFIG[protobuf] = "-Dprotobuf-support=enabled, -Dprotobuf-support=disabled, protobuf protobuf-native" >>>> +PACKAGECONFIG[flatbuffers] = "-Dflatbuf-support=enabled, -Dflatbuf-support=disabled, flatbuffers flatbuffers-native" >>>> +PACKAGECONFIG[armnn] = "-Darmnn-support=enabled, -Darmnn-support=disabled, armnn" >>>> +PACKAGECONFIG[onnxruntime] = "-Donnxruntime-support=enabled, -Donnxruntime-support=disabled, onnxruntime" >>>> +PACKAGECONFIG[tensorflow-lite] = "-Dtflite2-support=enabled, -Dtflite2-support=disabled, tensorflow-lite" >>>> + >>>> +do_install:append() { >>>> + CP_ARGS="-Prf --preserve=mode,timestamps --no-preserve=ownership" >>>> + >>>> + # Install test data >>>> + install -d ${D}/${bindir}/unittest-nnstreamer/tests >>>> + cp $CP_ARGS ${S}/tests/test_models ${D}/${bindir}/unittest-nnstreamer/tests >>>> + rm -f ${D}/${bindir}/unittest-nnstreamer/tests/test_models/models/tvm* >>>> +} >>>> + >>>> +FILES:${PN} += "\ >>>> + ${libdir}/*.so \ >>>> + ${libdir}/gstreamer-1.0/*.so \ >>>> + ${libdir}/nnstreamer/* \ >>>> + ${sysconfdir}/nnstreamer.ini \ >>>> +" >>>> +INSANE_SKIP:${PN} += "dev-so" >>>> + >>>> +PACKAGES =+ "${PN}-tests" >>>> + >>>> +FILES:${PN}-tests += "\ >>>> + ${libdir}/nnstreamer/customfilters/* \ >>>> + ${bindir}/unittest-nnstreamer/* \ >>>> +" >>>> + >>>> +FILES:${PN}-dev = "\ >>>> + ${includedir}/nnstreamer/* \ >>>> + ${libdir}/*.a \ >>> >>> FWIW, these get automatically packaged into ${PN}-staticdev >>> >> >> Let me remove this and see where those go. > > Are we waiting for a v2 then? > Yeah, seems this one line was not needed, removed it and sending v2 now. Andrew > >> Andrew >> >>> >>>> + ${libdir}/pkgconfig/*.pc \ >>>> +" >>>> -- >>>> 2.39.2 >
diff --git a/meta-arago-extras/recipes-multimedia/nnstreamer/nnstreamer_2.4.0.bb b/meta-arago-extras/recipes-multimedia/nnstreamer/nnstreamer_2.4.0.bb new file mode 100644 index 00000000..55de11e8 --- /dev/null +++ b/meta-arago-extras/recipes-multimedia/nnstreamer/nnstreamer_2.4.0.bb @@ -0,0 +1,68 @@ +SUMMARY = "NNStreamer, Stream Pipeline Paradigm for Nerual Network Applications" +DESCRIPTION = "NNStreamer is a set of Gstreamer plugins that allow Gstreamer developers to adopt neural network models easily and efficiently." +LICENSE = "LGPL-2.1-only" +LIC_FILES_CHKSUM = "file://LICENSE;md5=c25e5c1949624d71896127788f1ba590" + +SRC_URI = "git://github.com/nnstreamer/nnstreamer.git;branch=main;protocol=https" +PV = "2.4.0+git" +SRCREV = "7c57c288250578cad598f065b6fda6c0ff720cf9" + +S = "${WORKDIR}/git" + +inherit meson pkgconfig + +DEPENDS = " \ + orc-native \ + glib-2.0 \ + gstreamer1.0 \ + gstreamer1.0-plugins-base \ + python3 \ + python3-numpy \ + json-glib \ +" + +PACKAGECONFIG ??= " \ + protobuf \ + flatbuffers \ + tests \ + armnn \ + onnxruntime \ + tensorflow-lite \ +" + +PACKAGECONFIG[tests] = "-Denable-test=true -Dinstall-test=true, -Denable-test=false, gtest" +PACKAGECONFIG[protobuf] = "-Dprotobuf-support=enabled, -Dprotobuf-support=disabled, protobuf protobuf-native" +PACKAGECONFIG[flatbuffers] = "-Dflatbuf-support=enabled, -Dflatbuf-support=disabled, flatbuffers flatbuffers-native" +PACKAGECONFIG[armnn] = "-Darmnn-support=enabled, -Darmnn-support=disabled, armnn" +PACKAGECONFIG[onnxruntime] = "-Donnxruntime-support=enabled, -Donnxruntime-support=disabled, onnxruntime" +PACKAGECONFIG[tensorflow-lite] = "-Dtflite2-support=enabled, -Dtflite2-support=disabled, tensorflow-lite" + +do_install:append() { + CP_ARGS="-Prf --preserve=mode,timestamps --no-preserve=ownership" + + # Install test data + install -d ${D}/${bindir}/unittest-nnstreamer/tests + cp $CP_ARGS ${S}/tests/test_models ${D}/${bindir}/unittest-nnstreamer/tests + rm -f ${D}/${bindir}/unittest-nnstreamer/tests/test_models/models/tvm* +} + +FILES:${PN} += "\ + ${libdir}/*.so \ + ${libdir}/gstreamer-1.0/*.so \ + ${libdir}/nnstreamer/* \ + ${sysconfdir}/nnstreamer.ini \ +" +INSANE_SKIP:${PN} += "dev-so" + +PACKAGES =+ "${PN}-tests" + +FILES:${PN}-tests += "\ + ${libdir}/nnstreamer/customfilters/* \ + ${bindir}/unittest-nnstreamer/* \ +" + +FILES:${PN}-dev = "\ + ${includedir}/nnstreamer/* \ + ${libdir}/*.a \ + ${libdir}/pkgconfig/*.pc \ +"
NNStreamer is an efficient and flexible stream pipeline framework for complex neural network applications. NNStreamer provides a set of GStreamer plugins so developers may apply neural networks, attach related frameworks (including ROS, IIO, FlatBuffers, and Protocol Buffers), and manipulate tensor data streams in GStreamer pipelines easily and execute such pipelines efficiently. It was initially developed by Samsung and then transferred to LF AI Foundation as an incubation project. Learn more at https://nnstreamer.ai/ Signed-off-by: Andrew Davis <afd@ti.com> --- .../nnstreamer/nnstreamer_2.4.0.bb | 68 +++++++++++++++++++ 1 file changed, 68 insertions(+) create mode 100644 meta-arago-extras/recipes-multimedia/nnstreamer/nnstreamer_2.4.0.bb