* [zeus/master] [PATCH] tensorflow-lite-demo: Bump SRCREV and add tidl offload support for AM5 @ 2020-02-28 22:58 Hongmei Gou 2020-03-02 18:58 ` Denys Dmytriyenko 0 siblings, 1 reply; 6+ messages in thread From: Hongmei Gou @ 2020-02-28 22:58 UTC (permalink / raw) To: meta-arago; +Cc: Hongmei Gou * Build the demos with tidl offload option for AM5 * Include mobilenet v1 model for demonstrating tidl offload * Remove the demo scripts under the files directory. The scripts are now maintained in the source repo. * Make adjustments with the updated Makefile Signed-off-by: Hongmei Gou <a0271529@ti.com> --- .../files/run_classification.sh | 7 ----- .../tensorflow-lite/files/run_segmentation.sh | 8 ------ .../tensorflow-lite-demo_git.bb | 27 +++++++++++-------- 3 files changed, 16 insertions(+), 26 deletions(-) delete mode 100644 meta-arago-extras/recipes-support/tensorflow-lite/files/run_classification.sh delete mode 100644 meta-arago-extras/recipes-support/tensorflow-lite/files/run_segmentation.sh diff --git a/meta-arago-extras/recipes-support/tensorflow-lite/files/run_classification.sh b/meta-arago-extras/recipes-support/tensorflow-lite/files/run_classification.sh deleted file mode 100644 index b2ad7fc4..00000000 --- a/meta-arago-extras/recipes-support/tensorflow-lite/files/run_classification.sh +++ /dev/null @@ -1,7 +0,0 @@ -#!/bin/sh - -cd /usr/share/tensorflow-lite/demos - -# Run tflite_classification binary with the model, the input image, and the label file specified. -# Classification label is overlayed with the input image. Right click the image display window to exit. -./tflite_classification -m ../examples/mobilenet_v1_1.0_224_quant.tflite -i ../examples/grace_hopper.bmp -l ../examples/labels.txt diff --git a/meta-arago-extras/recipes-support/tensorflow-lite/files/run_segmentation.sh b/meta-arago-extras/recipes-support/tensorflow-lite/files/run_segmentation.sh deleted file mode 100644 index 5caea127..00000000 --- a/meta-arago-extras/recipes-support/tensorflow-lite/files/run_segmentation.sh +++ /dev/null @@ -1,8 +0,0 @@ -#!/bin/sh - -cd /usr/share/tensorflow-lite/demos - -# Run tflite_segmentation binary with the model and the input image specified. -# The display window shows the input(resized) image, segmentation map, overlay -# of the former two. Right click the image display window to exit. -./tflite_segmentation -m ./deeplabv3_257_mv_gpu.tflite -i ./bird_segmentation.bmp diff --git a/meta-arago-extras/recipes-support/tensorflow-lite/tensorflow-lite-demo_git.bb b/meta-arago-extras/recipes-support/tensorflow-lite/tensorflow-lite-demo_git.bb index 9b99b63c..57d6ef20 100644 --- a/meta-arago-extras/recipes-support/tensorflow-lite/tensorflow-lite-demo_git.bb +++ b/meta-arago-extras/recipes-support/tensorflow-lite/tensorflow-lite-demo_git.bb @@ -1,33 +1,33 @@ -DESCRIPTION = "Tensorflow Lite Demo with input and display via OpenCV and TIDL acceleration for AM5" +SUMMARY = "Tensorflow Lite Demo with input and display via OpenCV and TIDL acceleration for AM5" LICENSE = "Apache-2.0" LIC_FILES_CHKSUM = "file://LICENSE;md5=d8927f3331d2b3e321b7dd1925166d25" DEPENDS = "tensorflow-lite flatbuffers opencv" +DEPENDS_append_dra7xx = " tidl-api" COMPATIBLE_MACHINE = "ti33x|ti43x|omap-a15|am65xx" +PACKAGE_ARCH = "${MACHINE_ARCH}" PV = "01.00.00" -PR = "r0" +PR = "r1" BRANCH = "master" SRC_URI = "git://git.ti.com/apps/tensorflow-lite-examples.git;protocol=git;branch=${BRANCH} \ http://storage.googleapis.com/download.tensorflow.org/models/tflite/gpu/deeplabv3_257_mv_gpu.tflite;name=deeplabv3;subdir=${WORKDIR}/model;destsuffix=model \ - http://raw.githubusercontent.com/google-coral/edgetpu/master/test_data/bird_segmentation.bmp;name=bird_segmentation;subdir=${WORKDIR}/test_data;destsuffix=test_data \ - file://run_classification.sh \ - file://run_segmentation.sh" + http://storage.googleapis.com/download.tensorflow.org/models/mobilenet_v1_2018_02_22/mobilenet_v1_1.0_224.tgz;name=mobilenetv1;subdir=${WORKDIR}/model;destsuffix=model \ + http://raw.githubusercontent.com/google-coral/edgetpu/master/test_data/bird_segmentation.bmp;name=bird_segmentation;subdir=${WORKDIR}/test_data;destsuffix=test_data" SRC_URI[deeplabv3.md5sum] = "4a24db5a5fb05c47586a1197765e8548" SRC_URI[deeplabv3.sha256sum] = "68a539782c2c6a72f8aac3724600124a85ed977162b44e84cbae5db717c933c6" +SRC_URI[mobilenetv1.md5sum] = "d5f69cef81ad8afb335d9727a17c462a" +SRC_URI[mobilenetv1.sha256sum] = "1ccb74dbd9c5f7aea879120614e91617db9534bdfaa53dfea54b7c14162e126b" SRC_URI[bird_segmentation.md5sum] = "fc3202ac4e3033b36df3043de6dc32c9" SRC_URI[bird_segmentation.sha256sum] = "e43cedd29ab385db787531c8a6cdcb31c5e4292af34f242877ed40611e502670" -SRCREV = "d84f1d43585c0db2fa6a1c15db9145ab53f859ce" +SRCREV = "bd6a429c21f96d5112e0b6dea44a13b748eefd74" S = "${WORKDIR}/git" -CXXFLAGS_append = " -O3 -DNDEBUG -fPIC -I${STAGING_INCDIR}" -LDFLAGS_append = " -L${STAGING_LIBDIR}" - EXTRA_OEMAKE = "\ 'CXX=${CXX}' \ 'CXXFLAGS=${CXXFLAGS}' \ @@ -37,8 +37,12 @@ EXTRA_OEMAKE = "\ 'TARGET=${TARGET_OS}' \ 'TARGET_ARCH=${TARGET_ARCH}'" +EXTRA_OEMAKE += "SYSROOT_INCDIR="${STAGING_INCDIR}" SYSROOT_LIBDIR="${STAGING_LIBDIR}" \ + TIDL_API_DIR="${STAGING_DATADIR}/ti/tidl"" + +TIDL_dra7xx = "yes" do_compile() { - oe_runmake -f Makefile + oe_runmake -f Makefile TIDL_ACC=${TIDL} } do_install() { @@ -46,8 +50,9 @@ do_install() { install -m 0755 ${S}/tflite_classification ${D}${datadir}/tensorflow-lite/demos install -m 0755 ${S}/tflite_segmentation ${D}${datadir}/tensorflow-lite/demos install -m 0644 ${WORKDIR}/model/deeplabv3_257_mv_gpu.tflite ${D}${datadir}/tensorflow-lite/demos + install -m 0644 ${WORKDIR}/model/mobilenet_v1_1.0_224.tflite ${D}${datadir}/tensorflow-lite/demos install -m 0644 ${WORKDIR}/test_data/bird_segmentation.bmp ${D}${datadir}/tensorflow-lite/demos - install -m 0755 ${WORKDIR}/run*.sh ${D}${datadir}/tensorflow-lite/demos + install -m 0755 ${S}/scripts/run*.sh ${D}${datadir}/tensorflow-lite/demos } FILES_${PN} = "${datadir}/tensorflow-lite/demos" -- 2.17.1 ^ permalink raw reply related [flat|nested] 6+ messages in thread
* Re: [zeus/master] [PATCH] tensorflow-lite-demo: Bump SRCREV and add tidl offload support for AM5 2020-02-28 22:58 [zeus/master] [PATCH] tensorflow-lite-demo: Bump SRCREV and add tidl offload support for AM5 Hongmei Gou @ 2020-03-02 18:58 ` Denys Dmytriyenko 2020-03-02 19:37 ` Gou, Hongmei 0 siblings, 1 reply; 6+ messages in thread From: Denys Dmytriyenko @ 2020-03-02 18:58 UTC (permalink / raw) To: Hongmei Gou; +Cc: meta-arago On Fri, Feb 28, 2020 at 05:58:58PM -0500, Hongmei Gou wrote: > * Build the demos with tidl offload option for AM5 > * Include mobilenet v1 model for demonstrating tidl offload > * Remove the demo scripts under the files directory. The scripts are now > maintained in the source repo. > * Make adjustments with the updated Makefile > > Signed-off-by: Hongmei Gou <a0271529@ti.com> > --- > .../files/run_classification.sh | 7 ----- > .../tensorflow-lite/files/run_segmentation.sh | 8 ------ > .../tensorflow-lite-demo_git.bb | 27 +++++++++++-------- > 3 files changed, 16 insertions(+), 26 deletions(-) > delete mode 100644 meta-arago-extras/recipes-support/tensorflow-lite/files/run_classification.sh > delete mode 100644 meta-arago-extras/recipes-support/tensorflow-lite/files/run_segmentation.sh > > diff --git a/meta-arago-extras/recipes-support/tensorflow-lite/files/run_classification.sh b/meta-arago-extras/recipes-support/tensorflow-lite/files/run_classification.sh > deleted file mode 100644 > index b2ad7fc4..00000000 > --- a/meta-arago-extras/recipes-support/tensorflow-lite/files/run_classification.sh > +++ /dev/null > @@ -1,7 +0,0 @@ > -#!/bin/sh > - > -cd /usr/share/tensorflow-lite/demos > - > -# Run tflite_classification binary with the model, the input image, and the label file specified. > -# Classification label is overlayed with the input image. Right click the image display window to exit. > -./tflite_classification -m ../examples/mobilenet_v1_1.0_224_quant.tflite -i ../examples/grace_hopper.bmp -l ../examples/labels.txt > diff --git a/meta-arago-extras/recipes-support/tensorflow-lite/files/run_segmentation.sh b/meta-arago-extras/recipes-support/tensorflow-lite/files/run_segmentation.sh > deleted file mode 100644 > index 5caea127..00000000 > --- a/meta-arago-extras/recipes-support/tensorflow-lite/files/run_segmentation.sh > +++ /dev/null > @@ -1,8 +0,0 @@ > -#!/bin/sh > - > -cd /usr/share/tensorflow-lite/demos > - > -# Run tflite_segmentation binary with the model and the input image specified. > -# The display window shows the input(resized) image, segmentation map, overlay > -# of the former two. Right click the image display window to exit. > -./tflite_segmentation -m ./deeplabv3_257_mv_gpu.tflite -i ./bird_segmentation.bmp > diff --git a/meta-arago-extras/recipes-support/tensorflow-lite/tensorflow-lite-demo_git.bb b/meta-arago-extras/recipes-support/tensorflow-lite/tensorflow-lite-demo_git.bb > index 9b99b63c..57d6ef20 100644 > --- a/meta-arago-extras/recipes-support/tensorflow-lite/tensorflow-lite-demo_git.bb > +++ b/meta-arago-extras/recipes-support/tensorflow-lite/tensorflow-lite-demo_git.bb > @@ -1,33 +1,33 @@ > -DESCRIPTION = "Tensorflow Lite Demo with input and display via OpenCV and TIDL acceleration for AM5" > +SUMMARY = "Tensorflow Lite Demo with input and display via OpenCV and TIDL acceleration for AM5" > LICENSE = "Apache-2.0" > LIC_FILES_CHKSUM = "file://LICENSE;md5=d8927f3331d2b3e321b7dd1925166d25" > > DEPENDS = "tensorflow-lite flatbuffers opencv" > +DEPENDS_append_dra7xx = " tidl-api" > > COMPATIBLE_MACHINE = "ti33x|ti43x|omap-a15|am65xx" > +PACKAGE_ARCH = "${MACHINE_ARCH}" > > PV = "01.00.00" > -PR = "r0" > +PR = "r1" > > BRANCH = "master" > SRC_URI = "git://git.ti.com/apps/tensorflow-lite-examples.git;protocol=git;branch=${BRANCH} \ > http://storage.googleapis.com/download.tensorflow.org/models/tflite/gpu/deeplabv3_257_mv_gpu.tflite;name=deeplabv3;subdir=${WORKDIR}/model;destsuffix=model \ > - http://raw.githubusercontent.com/google-coral/edgetpu/master/test_data/bird_segmentation.bmp;name=bird_segmentation;subdir=${WORKDIR}/test_data;destsuffix=test_data \ > - file://run_classification.sh \ > - file://run_segmentation.sh" > + http://storage.googleapis.com/download.tensorflow.org/models/mobilenet_v1_2018_02_22/mobilenet_v1_1.0_224.tgz;name=mobilenetv1;subdir=${WORKDIR}/model;destsuffix=model \ > + http://raw.githubusercontent.com/google-coral/edgetpu/master/test_data/bird_segmentation.bmp;name=bird_segmentation;subdir=${WORKDIR}/test_data;destsuffix=test_data" > > SRC_URI[deeplabv3.md5sum] = "4a24db5a5fb05c47586a1197765e8548" > SRC_URI[deeplabv3.sha256sum] = "68a539782c2c6a72f8aac3724600124a85ed977162b44e84cbae5db717c933c6" > +SRC_URI[mobilenetv1.md5sum] = "d5f69cef81ad8afb335d9727a17c462a" > +SRC_URI[mobilenetv1.sha256sum] = "1ccb74dbd9c5f7aea879120614e91617db9534bdfaa53dfea54b7c14162e126b" > SRC_URI[bird_segmentation.md5sum] = "fc3202ac4e3033b36df3043de6dc32c9" > SRC_URI[bird_segmentation.sha256sum] = "e43cedd29ab385db787531c8a6cdcb31c5e4292af34f242877ed40611e502670" > > -SRCREV = "d84f1d43585c0db2fa6a1c15db9145ab53f859ce" > +SRCREV = "bd6a429c21f96d5112e0b6dea44a13b748eefd74" > > S = "${WORKDIR}/git" > > -CXXFLAGS_append = " -O3 -DNDEBUG -fPIC -I${STAGING_INCDIR}" > -LDFLAGS_append = " -L${STAGING_LIBDIR}" > - > EXTRA_OEMAKE = "\ > 'CXX=${CXX}' \ > 'CXXFLAGS=${CXXFLAGS}' \ > @@ -37,8 +37,12 @@ EXTRA_OEMAKE = "\ > 'TARGET=${TARGET_OS}' \ > 'TARGET_ARCH=${TARGET_ARCH}'" > > +EXTRA_OEMAKE += "SYSROOT_INCDIR="${STAGING_INCDIR}" SYSROOT_LIBDIR="${STAGING_LIBDIR}" \ > + TIDL_API_DIR="${STAGING_DATADIR}/ti/tidl"" > + > +TIDL_dra7xx = "yes" Will TIDL be undefined for other platforms? > do_compile() { > - oe_runmake -f Makefile > + oe_runmake -f Makefile TIDL_ACC=${TIDL} > } > > do_install() { > @@ -46,8 +50,9 @@ do_install() { > install -m 0755 ${S}/tflite_classification ${D}${datadir}/tensorflow-lite/demos > install -m 0755 ${S}/tflite_segmentation ${D}${datadir}/tensorflow-lite/demos > install -m 0644 ${WORKDIR}/model/deeplabv3_257_mv_gpu.tflite ${D}${datadir}/tensorflow-lite/demos > + install -m 0644 ${WORKDIR}/model/mobilenet_v1_1.0_224.tflite ${D}${datadir}/tensorflow-lite/demos > install -m 0644 ${WORKDIR}/test_data/bird_segmentation.bmp ${D}${datadir}/tensorflow-lite/demos > - install -m 0755 ${WORKDIR}/run*.sh ${D}${datadir}/tensorflow-lite/demos > + install -m 0755 ${S}/scripts/run*.sh ${D}${datadir}/tensorflow-lite/demos > } > > FILES_${PN} = "${datadir}/tensorflow-lite/demos" > -- > 2.17.1 > > _______________________________________________ > meta-arago mailing list > meta-arago@arago-project.org > http://arago-project.org/cgi-bin/mailman/listinfo/meta-arago ^ permalink raw reply [flat|nested] 6+ messages in thread
* Re: [zeus/master] [PATCH] tensorflow-lite-demo: Bump SRCREV and add tidl offload support for AM5 2020-03-02 18:58 ` Denys Dmytriyenko @ 2020-03-02 19:37 ` Gou, Hongmei 2020-03-02 19:40 ` Denys Dmytriyenko 0 siblings, 1 reply; 6+ messages in thread From: Gou, Hongmei @ 2020-03-02 19:37 UTC (permalink / raw) To: Dmytriyenko, Denys; +Cc: meta-arago@arago-project.org > -----Original Message----- > From: Dmytriyenko, Denys > Sent: Monday, March 2, 2020 1:58 PM > To: Gou, Hongmei > Cc: meta-arago@arago-project.org > Subject: Re: [meta-arago] [zeus/master] [PATCH] tensorflow-lite-demo: > Bump SRCREV and add tidl offload support for AM5 > > On Fri, Feb 28, 2020 at 05:58:58PM -0500, Hongmei Gou wrote: > > * Build the demos with tidl offload option for AM5 > > * Include mobilenet v1 model for demonstrating tidl offload > > * Remove the demo scripts under the files directory. The scripts are now > > maintained in the source repo. > > * Make adjustments with the updated Makefile > > > > Signed-off-by: Hongmei Gou <a0271529@ti.com> > > --- > > .../files/run_classification.sh | 7 ----- > > .../tensorflow-lite/files/run_segmentation.sh | 8 ------ > > .../tensorflow-lite-demo_git.bb | 27 +++++++++++-------- > > 3 files changed, 16 insertions(+), 26 deletions(-) > > delete mode 100644 meta-arago-extras/recipes-support/tensorflow- > lite/files/run_classification.sh > > delete mode 100644 meta-arago-extras/recipes-support/tensorflow- > lite/files/run_segmentation.sh > > > > diff --git a/meta-arago-extras/recipes-support/tensorflow- > lite/files/run_classification.sh b/meta-arago-extras/recipes- > support/tensorflow-lite/files/run_classification.sh > > deleted file mode 100644 > > index b2ad7fc4..00000000 > > --- a/meta-arago-extras/recipes-support/tensorflow- > lite/files/run_classification.sh > > +++ /dev/null > > @@ -1,7 +0,0 @@ > > -#!/bin/sh > > - > > -cd /usr/share/tensorflow-lite/demos > > - > > -# Run tflite_classification binary with the model, the input image, and the > label file specified. > > -# Classification label is overlayed with the input image. Right click the > image display window to exit. > > -./tflite_classification -m ../examples/mobilenet_v1_1.0_224_quant.tflite -i > ../examples/grace_hopper.bmp -l ../examples/labels.txt > > diff --git a/meta-arago-extras/recipes-support/tensorflow- > lite/files/run_segmentation.sh b/meta-arago-extras/recipes- > support/tensorflow-lite/files/run_segmentation.sh > > deleted file mode 100644 > > index 5caea127..00000000 > > --- a/meta-arago-extras/recipes-support/tensorflow- > lite/files/run_segmentation.sh > > +++ /dev/null > > @@ -1,8 +0,0 @@ > > -#!/bin/sh > > - > > -cd /usr/share/tensorflow-lite/demos > > - > > -# Run tflite_segmentation binary with the model and the input image > specified. > > -# The display window shows the input(resized) image, segmentation map, > overlay > > -# of the former two. Right click the image display window to exit. > > -./tflite_segmentation -m ./deeplabv3_257_mv_gpu.tflite -i > ./bird_segmentation.bmp > > diff --git a/meta-arago-extras/recipes-support/tensorflow-lite/tensorflow- > lite-demo_git.bb b/meta-arago-extras/recipes-support/tensorflow- > lite/tensorflow-lite-demo_git.bb > > index 9b99b63c..57d6ef20 100644 > > --- a/meta-arago-extras/recipes-support/tensorflow-lite/tensorflow-lite- > demo_git.bb > > +++ b/meta-arago-extras/recipes-support/tensorflow-lite/tensorflow-lite- > demo_git.bb > > @@ -1,33 +1,33 @@ > > -DESCRIPTION = "Tensorflow Lite Demo with input and display via OpenCV > and TIDL acceleration for AM5" > > +SUMMARY = "Tensorflow Lite Demo with input and display via OpenCV > and TIDL acceleration for AM5" > > LICENSE = "Apache-2.0" > > LIC_FILES_CHKSUM = > "file://LICENSE;md5=d8927f3331d2b3e321b7dd1925166d25" > > > > DEPENDS = "tensorflow-lite flatbuffers opencv" > > +DEPENDS_append_dra7xx = " tidl-api" > > > > COMPATIBLE_MACHINE = "ti33x|ti43x|omap-a15|am65xx" > > +PACKAGE_ARCH = "${MACHINE_ARCH}" > > > > PV = "01.00.00" > > -PR = "r0" > > +PR = "r1" > > > > BRANCH = "master" > > SRC_URI = "git://git.ti.com/apps/tensorflow-lite- > examples.git;protocol=git;branch=${BRANCH} \ > > > http://storage.googleapis.com/download.tensorflow.org/models/tflite/gpu/ > deeplabv3_257_mv_gpu.tflite;name=deeplabv3;subdir=${WORKDIR}/model > ;destsuffix=model \ > > - http://raw.githubusercontent.com/google- > coral/edgetpu/master/test_data/bird_segmentation.bmp;name=bird_segm > entation;subdir=${WORKDIR}/test_data;destsuffix=test_data \ > > - file://run_classification.sh \ > > - file://run_segmentation.sh" > > + > http://storage.googleapis.com/download.tensorflow.org/models/mobilenet > _v1_2018_02_22/mobilenet_v1_1.0_224.tgz;name=mobilenetv1;subdir=${W > ORKDIR}/model;destsuffix=model \ > > + http://raw.githubusercontent.com/google- > coral/edgetpu/master/test_data/bird_segmentation.bmp;name=bird_segm > entation;subdir=${WORKDIR}/test_data;destsuffix=test_data" > > > > SRC_URI[deeplabv3.md5sum] = "4a24db5a5fb05c47586a1197765e8548" > > SRC_URI[deeplabv3.sha256sum] = > "68a539782c2c6a72f8aac3724600124a85ed977162b44e84cbae5db717c933c6" > > +SRC_URI[mobilenetv1.md5sum] = "d5f69cef81ad8afb335d9727a17c462a" > > +SRC_URI[mobilenetv1.sha256sum] = > "1ccb74dbd9c5f7aea879120614e91617db9534bdfaa53dfea54b7c14162e126b" > > SRC_URI[bird_segmentation.md5sum] = > "fc3202ac4e3033b36df3043de6dc32c9" > > SRC_URI[bird_segmentation.sha256sum] = > "e43cedd29ab385db787531c8a6cdcb31c5e4292af34f242877ed40611e502670" > > > > -SRCREV = "d84f1d43585c0db2fa6a1c15db9145ab53f859ce" > > +SRCREV = "bd6a429c21f96d5112e0b6dea44a13b748eefd74" > > > > S = "${WORKDIR}/git" > > > > -CXXFLAGS_append = " -O3 -DNDEBUG -fPIC -I${STAGING_INCDIR}" > > -LDFLAGS_append = " -L${STAGING_LIBDIR}" > > - > > EXTRA_OEMAKE = "\ > > 'CXX=${CXX}' \ > > 'CXXFLAGS=${CXXFLAGS}' \ > > @@ -37,8 +37,12 @@ EXTRA_OEMAKE = "\ > > 'TARGET=${TARGET_OS}' \ > > 'TARGET_ARCH=${TARGET_ARCH}'" > > > > +EXTRA_OEMAKE += "SYSROOT_INCDIR="${STAGING_INCDIR}" > SYSROOT_LIBDIR="${STAGING_LIBDIR}" \ > > + TIDL_API_DIR="${STAGING_DATADIR}/ti/tidl"" > > + > > +TIDL_dra7xx = "yes" > > Will TIDL be undefined for other platforms? Yes, TIDL is undefined for other platforms. > > > > do_compile() { > > - oe_runmake -f Makefile > > + oe_runmake -f Makefile TIDL_ACC=${TIDL} > > } > > > > do_install() { > > @@ -46,8 +50,9 @@ do_install() { > > install -m 0755 ${S}/tflite_classification ${D}${datadir}/tensorflow- > lite/demos > > install -m 0755 ${S}/tflite_segmentation ${D}${datadir}/tensorflow- > lite/demos > > install -m 0644 ${WORKDIR}/model/deeplabv3_257_mv_gpu.tflite > ${D}${datadir}/tensorflow-lite/demos > > + install -m 0644 ${WORKDIR}/model/mobilenet_v1_1.0_224.tflite > ${D}${datadir}/tensorflow-lite/demos > > install -m 0644 ${WORKDIR}/test_data/bird_segmentation.bmp > ${D}${datadir}/tensorflow-lite/demos > > - install -m 0755 ${WORKDIR}/run*.sh ${D}${datadir}/tensorflow- > lite/demos > > + install -m 0755 ${S}/scripts/run*.sh ${D}${datadir}/tensorflow- > lite/demos > > } > > > > FILES_${PN} = "${datadir}/tensorflow-lite/demos" > > -- > > 2.17.1 > > > > _______________________________________________ > > meta-arago mailing list > > meta-arago@arago-project.org > > http://arago-project.org/cgi-bin/mailman/listinfo/meta-arago ^ permalink raw reply [flat|nested] 6+ messages in thread
* Re: [zeus/master] [PATCH] tensorflow-lite-demo: Bump SRCREV and add tidl offload support for AM5 2020-03-02 19:37 ` Gou, Hongmei @ 2020-03-02 19:40 ` Denys Dmytriyenko 2020-03-02 20:25 ` Gou, Hongmei 0 siblings, 1 reply; 6+ messages in thread From: Denys Dmytriyenko @ 2020-03-02 19:40 UTC (permalink / raw) To: Gou, Hongmei; +Cc: meta-arago@arago-project.org On Mon, Mar 02, 2020 at 02:37:48PM -0500, Gou, Hongmei wrote: > > -----Original Message----- > > From: Dmytriyenko, Denys > > Sent: Monday, March 2, 2020 1:58 PM > > To: Gou, Hongmei > > Cc: meta-arago@arago-project.org > > Subject: Re: [meta-arago] [zeus/master] [PATCH] tensorflow-lite-demo: > > Bump SRCREV and add tidl offload support for AM5 > > > > On Fri, Feb 28, 2020 at 05:58:58PM -0500, Hongmei Gou wrote: > > > * Build the demos with tidl offload option for AM5 > > > * Include mobilenet v1 model for demonstrating tidl offload > > > * Remove the demo scripts under the files directory. The scripts are now > > > maintained in the source repo. > > > * Make adjustments with the updated Makefile > > > > > > Signed-off-by: Hongmei Gou <a0271529@ti.com> > > > --- > > > .../files/run_classification.sh | 7 ----- > > > .../tensorflow-lite/files/run_segmentation.sh | 8 ------ > > > .../tensorflow-lite-demo_git.bb | 27 +++++++++++-------- > > > 3 files changed, 16 insertions(+), 26 deletions(-) > > > delete mode 100644 meta-arago-extras/recipes-support/tensorflow- > > lite/files/run_classification.sh > > > delete mode 100644 meta-arago-extras/recipes-support/tensorflow- > > lite/files/run_segmentation.sh > > > > > > diff --git a/meta-arago-extras/recipes-support/tensorflow- > > lite/files/run_classification.sh b/meta-arago-extras/recipes- > > support/tensorflow-lite/files/run_classification.sh > > > deleted file mode 100644 > > > index b2ad7fc4..00000000 > > > --- a/meta-arago-extras/recipes-support/tensorflow- > > lite/files/run_classification.sh > > > +++ /dev/null > > > @@ -1,7 +0,0 @@ > > > -#!/bin/sh > > > - > > > -cd /usr/share/tensorflow-lite/demos > > > - > > > -# Run tflite_classification binary with the model, the input image, and the > > label file specified. > > > -# Classification label is overlayed with the input image. Right click the > > image display window to exit. > > > -./tflite_classification -m ../examples/mobilenet_v1_1.0_224_quant.tflite -i > > ../examples/grace_hopper.bmp -l ../examples/labels.txt > > > diff --git a/meta-arago-extras/recipes-support/tensorflow- > > lite/files/run_segmentation.sh b/meta-arago-extras/recipes- > > support/tensorflow-lite/files/run_segmentation.sh > > > deleted file mode 100644 > > > index 5caea127..00000000 > > > --- a/meta-arago-extras/recipes-support/tensorflow- > > lite/files/run_segmentation.sh > > > +++ /dev/null > > > @@ -1,8 +0,0 @@ > > > -#!/bin/sh > > > - > > > -cd /usr/share/tensorflow-lite/demos > > > - > > > -# Run tflite_segmentation binary with the model and the input image > > specified. > > > -# The display window shows the input(resized) image, segmentation map, > > overlay > > > -# of the former two. Right click the image display window to exit. > > > -./tflite_segmentation -m ./deeplabv3_257_mv_gpu.tflite -i > > ./bird_segmentation.bmp > > > diff --git a/meta-arago-extras/recipes-support/tensorflow-lite/tensorflow- > > lite-demo_git.bb b/meta-arago-extras/recipes-support/tensorflow- > > lite/tensorflow-lite-demo_git.bb > > > index 9b99b63c..57d6ef20 100644 > > > --- a/meta-arago-extras/recipes-support/tensorflow-lite/tensorflow-lite- > > demo_git.bb > > > +++ b/meta-arago-extras/recipes-support/tensorflow-lite/tensorflow-lite- > > demo_git.bb > > > @@ -1,33 +1,33 @@ > > > -DESCRIPTION = "Tensorflow Lite Demo with input and display via OpenCV > > and TIDL acceleration for AM5" > > > +SUMMARY = "Tensorflow Lite Demo with input and display via OpenCV > > and TIDL acceleration for AM5" > > > LICENSE = "Apache-2.0" > > > LIC_FILES_CHKSUM = > > "file://LICENSE;md5=d8927f3331d2b3e321b7dd1925166d25" > > > > > > DEPENDS = "tensorflow-lite flatbuffers opencv" > > > +DEPENDS_append_dra7xx = " tidl-api" > > > > > > COMPATIBLE_MACHINE = "ti33x|ti43x|omap-a15|am65xx" > > > +PACKAGE_ARCH = "${MACHINE_ARCH}" > > > > > > PV = "01.00.00" > > > -PR = "r0" > > > +PR = "r1" > > > > > > BRANCH = "master" > > > SRC_URI = "git://git.ti.com/apps/tensorflow-lite- > > examples.git;protocol=git;branch=${BRANCH} \ > > > > > http://storage.googleapis.com/download.tensorflow.org/models/tflite/gpu/ > > deeplabv3_257_mv_gpu.tflite;name=deeplabv3;subdir=${WORKDIR}/model > > ;destsuffix=model \ > > > - http://raw.githubusercontent.com/google- > > coral/edgetpu/master/test_data/bird_segmentation.bmp;name=bird_segm > > entation;subdir=${WORKDIR}/test_data;destsuffix=test_data \ > > > - file://run_classification.sh \ > > > - file://run_segmentation.sh" > > > + > > http://storage.googleapis.com/download.tensorflow.org/models/mobilenet > > _v1_2018_02_22/mobilenet_v1_1.0_224.tgz;name=mobilenetv1;subdir=${W > > ORKDIR}/model;destsuffix=model \ > > > + http://raw.githubusercontent.com/google- > > coral/edgetpu/master/test_data/bird_segmentation.bmp;name=bird_segm > > entation;subdir=${WORKDIR}/test_data;destsuffix=test_data" > > > > > > SRC_URI[deeplabv3.md5sum] = "4a24db5a5fb05c47586a1197765e8548" > > > SRC_URI[deeplabv3.sha256sum] = > > "68a539782c2c6a72f8aac3724600124a85ed977162b44e84cbae5db717c933c6" > > > +SRC_URI[mobilenetv1.md5sum] = "d5f69cef81ad8afb335d9727a17c462a" > > > +SRC_URI[mobilenetv1.sha256sum] = > > "1ccb74dbd9c5f7aea879120614e91617db9534bdfaa53dfea54b7c14162e126b" > > > SRC_URI[bird_segmentation.md5sum] = > > "fc3202ac4e3033b36df3043de6dc32c9" > > > SRC_URI[bird_segmentation.sha256sum] = > > "e43cedd29ab385db787531c8a6cdcb31c5e4292af34f242877ed40611e502670" > > > > > > -SRCREV = "d84f1d43585c0db2fa6a1c15db9145ab53f859ce" > > > +SRCREV = "bd6a429c21f96d5112e0b6dea44a13b748eefd74" > > > > > > S = "${WORKDIR}/git" > > > > > > -CXXFLAGS_append = " -O3 -DNDEBUG -fPIC -I${STAGING_INCDIR}" > > > -LDFLAGS_append = " -L${STAGING_LIBDIR}" > > > - > > > EXTRA_OEMAKE = "\ > > > 'CXX=${CXX}' \ > > > 'CXXFLAGS=${CXXFLAGS}' \ > > > @@ -37,8 +37,12 @@ EXTRA_OEMAKE = "\ > > > 'TARGET=${TARGET_OS}' \ > > > 'TARGET_ARCH=${TARGET_ARCH}'" > > > > > > +EXTRA_OEMAKE += "SYSROOT_INCDIR="${STAGING_INCDIR}" > > SYSROOT_LIBDIR="${STAGING_LIBDIR}" \ > > > + TIDL_API_DIR="${STAGING_DATADIR}/ti/tidl"" > > > + > > > +TIDL_dra7xx = "yes" > > > > Will TIDL be undefined for other platforms? > > Yes, TIDL is undefined for other platforms. > > > > > > > > do_compile() { > > > - oe_runmake -f Makefile > > > + oe_runmake -f Makefile TIDL_ACC=${TIDL} This will result in passing undefined variable to Makefile here Make you want to set it to "no" or empty "" for other platforms? > > > } > > > > > > do_install() { > > > @@ -46,8 +50,9 @@ do_install() { > > > install -m 0755 ${S}/tflite_classification ${D}${datadir}/tensorflow- > > lite/demos > > > install -m 0755 ${S}/tflite_segmentation ${D}${datadir}/tensorflow- > > lite/demos > > > install -m 0644 ${WORKDIR}/model/deeplabv3_257_mv_gpu.tflite > > ${D}${datadir}/tensorflow-lite/demos > > > + install -m 0644 ${WORKDIR}/model/mobilenet_v1_1.0_224.tflite > > ${D}${datadir}/tensorflow-lite/demos > > > install -m 0644 ${WORKDIR}/test_data/bird_segmentation.bmp > > ${D}${datadir}/tensorflow-lite/demos > > > - install -m 0755 ${WORKDIR}/run*.sh ${D}${datadir}/tensorflow- > > lite/demos > > > + install -m 0755 ${S}/scripts/run*.sh ${D}${datadir}/tensorflow- > > lite/demos > > > } > > > > > > FILES_${PN} = "${datadir}/tensorflow-lite/demos" > > > -- > > > 2.17.1 > > > > > > _______________________________________________ > > > meta-arago mailing list > > > meta-arago@arago-project.org > > > http://arago-project.org/cgi-bin/mailman/listinfo/meta-arago ^ permalink raw reply [flat|nested] 6+ messages in thread
* Re: [zeus/master] [PATCH] tensorflow-lite-demo: Bump SRCREV and add tidl offload support for AM5 2020-03-02 19:40 ` Denys Dmytriyenko @ 2020-03-02 20:25 ` Gou, Hongmei 2020-03-02 20:43 ` Denys Dmytriyenko 0 siblings, 1 reply; 6+ messages in thread From: Gou, Hongmei @ 2020-03-02 20:25 UTC (permalink / raw) To: Dmytriyenko, Denys; +Cc: meta-arago@arago-project.org > -----Original Message----- > From: Dmytriyenko, Denys > Sent: Monday, March 2, 2020 2:40 PM > To: Gou, Hongmei > Cc: meta-arago@arago-project.org > Subject: Re: [meta-arago] [zeus/master] [PATCH] tensorflow-lite-demo: > Bump SRCREV and add tidl offload support for AM5 > > On Mon, Mar 02, 2020 at 02:37:48PM -0500, Gou, Hongmei wrote: > > > -----Original Message----- > > > From: Dmytriyenko, Denys > > > Sent: Monday, March 2, 2020 1:58 PM > > > To: Gou, Hongmei > > > Cc: meta-arago@arago-project.org > > > Subject: Re: [meta-arago] [zeus/master] [PATCH] tensorflow-lite-demo: > > > Bump SRCREV and add tidl offload support for AM5 > > > > > > On Fri, Feb 28, 2020 at 05:58:58PM -0500, Hongmei Gou wrote: > > > > * Build the demos with tidl offload option for AM5 > > > > * Include mobilenet v1 model for demonstrating tidl offload > > > > * Remove the demo scripts under the files directory. The scripts are > now > > > > maintained in the source repo. > > > > * Make adjustments with the updated Makefile > > > > > > > > Signed-off-by: Hongmei Gou <a0271529@ti.com> > > > > --- > > > > .../files/run_classification.sh | 7 ----- > > > > .../tensorflow-lite/files/run_segmentation.sh | 8 ------ > > > > .../tensorflow-lite-demo_git.bb | 27 +++++++++++-------- > > > > 3 files changed, 16 insertions(+), 26 deletions(-) > > > > delete mode 100644 meta-arago-extras/recipes-support/tensorflow- > > > lite/files/run_classification.sh > > > > delete mode 100644 meta-arago-extras/recipes-support/tensorflow- > > > lite/files/run_segmentation.sh > > > > > > > > diff --git a/meta-arago-extras/recipes-support/tensorflow- > > > lite/files/run_classification.sh b/meta-arago-extras/recipes- > > > support/tensorflow-lite/files/run_classification.sh > > > > deleted file mode 100644 > > > > index b2ad7fc4..00000000 > > > > --- a/meta-arago-extras/recipes-support/tensorflow- > > > lite/files/run_classification.sh > > > > +++ /dev/null > > > > @@ -1,7 +0,0 @@ > > > > -#!/bin/sh > > > > - > > > > -cd /usr/share/tensorflow-lite/demos > > > > - > > > > -# Run tflite_classification binary with the model, the input image, and > the > > > label file specified. > > > > -# Classification label is overlayed with the input image. Right click the > > > image display window to exit. > > > > -./tflite_classification -m > ../examples/mobilenet_v1_1.0_224_quant.tflite -i > > > ../examples/grace_hopper.bmp -l ../examples/labels.txt > > > > diff --git a/meta-arago-extras/recipes-support/tensorflow- > > > lite/files/run_segmentation.sh b/meta-arago-extras/recipes- > > > support/tensorflow-lite/files/run_segmentation.sh > > > > deleted file mode 100644 > > > > index 5caea127..00000000 > > > > --- a/meta-arago-extras/recipes-support/tensorflow- > > > lite/files/run_segmentation.sh > > > > +++ /dev/null > > > > @@ -1,8 +0,0 @@ > > > > -#!/bin/sh > > > > - > > > > -cd /usr/share/tensorflow-lite/demos > > > > - > > > > -# Run tflite_segmentation binary with the model and the input image > > > specified. > > > > -# The display window shows the input(resized) image, segmentation > map, > > > overlay > > > > -# of the former two. Right click the image display window to exit. > > > > -./tflite_segmentation -m ./deeplabv3_257_mv_gpu.tflite -i > > > ./bird_segmentation.bmp > > > > diff --git a/meta-arago-extras/recipes-support/tensorflow- > lite/tensorflow- > > > lite-demo_git.bb b/meta-arago-extras/recipes-support/tensorflow- > > > lite/tensorflow-lite-demo_git.bb > > > > index 9b99b63c..57d6ef20 100644 > > > > --- a/meta-arago-extras/recipes-support/tensorflow-lite/tensorflow- > lite- > > > demo_git.bb > > > > +++ b/meta-arago-extras/recipes-support/tensorflow-lite/tensorflow- > lite- > > > demo_git.bb > > > > @@ -1,33 +1,33 @@ > > > > -DESCRIPTION = "Tensorflow Lite Demo with input and display via > OpenCV > > > and TIDL acceleration for AM5" > > > > +SUMMARY = "Tensorflow Lite Demo with input and display via > OpenCV > > > and TIDL acceleration for AM5" > > > > LICENSE = "Apache-2.0" > > > > LIC_FILES_CHKSUM = > > > "file://LICENSE;md5=d8927f3331d2b3e321b7dd1925166d25" > > > > > > > > DEPENDS = "tensorflow-lite flatbuffers opencv" > > > > +DEPENDS_append_dra7xx = " tidl-api" > > > > > > > > COMPATIBLE_MACHINE = "ti33x|ti43x|omap-a15|am65xx" > > > > +PACKAGE_ARCH = "${MACHINE_ARCH}" > > > > > > > > PV = "01.00.00" > > > > -PR = "r0" > > > > +PR = "r1" > > > > > > > > BRANCH = "master" > > > > SRC_URI = "git://git.ti.com/apps/tensorflow-lite- > > > examples.git;protocol=git;branch=${BRANCH} \ > > > > > > > > http://storage.googleapis.com/download.tensorflow.org/models/tflite/gpu/ > > > > deeplabv3_257_mv_gpu.tflite;name=deeplabv3;subdir=${WORKDIR}/model > > > ;destsuffix=model \ > > > > - http://raw.githubusercontent.com/google- > > > > coral/edgetpu/master/test_data/bird_segmentation.bmp;name=bird_segm > > > entation;subdir=${WORKDIR}/test_data;destsuffix=test_data \ > > > > - file://run_classification.sh \ > > > > - file://run_segmentation.sh" > > > > + > > > > http://storage.googleapis.com/download.tensorflow.org/models/mobilenet > > > > _v1_2018_02_22/mobilenet_v1_1.0_224.tgz;name=mobilenetv1;subdir=${W > > > ORKDIR}/model;destsuffix=model \ > > > > + http://raw.githubusercontent.com/google- > > > > coral/edgetpu/master/test_data/bird_segmentation.bmp;name=bird_segm > > > entation;subdir=${WORKDIR}/test_data;destsuffix=test_data" > > > > > > > > SRC_URI[deeplabv3.md5sum] = > "4a24db5a5fb05c47586a1197765e8548" > > > > SRC_URI[deeplabv3.sha256sum] = > > > > "68a539782c2c6a72f8aac3724600124a85ed977162b44e84cbae5db717c933c6" > > > > +SRC_URI[mobilenetv1.md5sum] = > "d5f69cef81ad8afb335d9727a17c462a" > > > > +SRC_URI[mobilenetv1.sha256sum] = > > > > "1ccb74dbd9c5f7aea879120614e91617db9534bdfaa53dfea54b7c14162e126b" > > > > SRC_URI[bird_segmentation.md5sum] = > > > "fc3202ac4e3033b36df3043de6dc32c9" > > > > SRC_URI[bird_segmentation.sha256sum] = > > > > "e43cedd29ab385db787531c8a6cdcb31c5e4292af34f242877ed40611e502670" > > > > > > > > -SRCREV = "d84f1d43585c0db2fa6a1c15db9145ab53f859ce" > > > > +SRCREV = "bd6a429c21f96d5112e0b6dea44a13b748eefd74" > > > > > > > > S = "${WORKDIR}/git" > > > > > > > > -CXXFLAGS_append = " -O3 -DNDEBUG -fPIC -I${STAGING_INCDIR}" > > > > -LDFLAGS_append = " -L${STAGING_LIBDIR}" > > > > - > > > > EXTRA_OEMAKE = "\ > > > > 'CXX=${CXX}' \ > > > > 'CXXFLAGS=${CXXFLAGS}' \ > > > > @@ -37,8 +37,12 @@ EXTRA_OEMAKE = "\ > > > > 'TARGET=${TARGET_OS}' \ > > > > 'TARGET_ARCH=${TARGET_ARCH}'" > > > > > > > > +EXTRA_OEMAKE += "SYSROOT_INCDIR="${STAGING_INCDIR}" > > > SYSROOT_LIBDIR="${STAGING_LIBDIR}" \ > > > > + TIDL_API_DIR="${STAGING_DATADIR}/ti/tidl"" > > > > + > > > > +TIDL_dra7xx = "yes" > > > > > > Will TIDL be undefined for other platforms? > > > > Yes, TIDL is undefined for other platforms. > > > > > > > > > > > > do_compile() { > > > > - oe_runmake -f Makefile > > > > + oe_runmake -f Makefile TIDL_ACC=${TIDL} > > This will result in passing undefined variable to Makefile here > > Make you want to set it to "no" or empty "" for other platforms? Just submitted a V2 patch to set TIDL to "no" for non-AM5 platforms. In Makefile, TIDL_ACC is set to "no" if it is undefined: "TIDL_ACC ?= no". > > > > > > } > > > > > > > > do_install() { > > > > @@ -46,8 +50,9 @@ do_install() { > > > > install -m 0755 ${S}/tflite_classification ${D}${datadir}/tensorflow- > > > lite/demos > > > > install -m 0755 ${S}/tflite_segmentation ${D}${datadir}/tensorflow- > > > lite/demos > > > > install -m 0644 ${WORKDIR}/model/deeplabv3_257_mv_gpu.tflite > > > ${D}${datadir}/tensorflow-lite/demos > > > > + install -m 0644 ${WORKDIR}/model/mobilenet_v1_1.0_224.tflite > > > ${D}${datadir}/tensorflow-lite/demos > > > > install -m 0644 ${WORKDIR}/test_data/bird_segmentation.bmp > > > ${D}${datadir}/tensorflow-lite/demos > > > > - install -m 0755 ${WORKDIR}/run*.sh ${D}${datadir}/tensorflow- > > > lite/demos > > > > + install -m 0755 ${S}/scripts/run*.sh ${D}${datadir}/tensorflow- > > > lite/demos > > > > } > > > > > > > > FILES_${PN} = "${datadir}/tensorflow-lite/demos" > > > > -- > > > > 2.17.1 > > > > > > > > _______________________________________________ > > > > meta-arago mailing list > > > > meta-arago@arago-project.org > > > > http://arago-project.org/cgi-bin/mailman/listinfo/meta-arago ^ permalink raw reply [flat|nested] 6+ messages in thread
* Re: [zeus/master] [PATCH] tensorflow-lite-demo: Bump SRCREV and add tidl offload support for AM5 2020-03-02 20:25 ` Gou, Hongmei @ 2020-03-02 20:43 ` Denys Dmytriyenko 0 siblings, 0 replies; 6+ messages in thread From: Denys Dmytriyenko @ 2020-03-02 20:43 UTC (permalink / raw) To: Gou, Hongmei; +Cc: meta-arago@arago-project.org On Mon, Mar 02, 2020 at 03:25:19PM -0500, Gou, Hongmei wrote: > > -----Original Message----- > > From: Dmytriyenko, Denys > > Sent: Monday, March 2, 2020 2:40 PM > > To: Gou, Hongmei > > Cc: meta-arago@arago-project.org > > Subject: Re: [meta-arago] [zeus/master] [PATCH] tensorflow-lite-demo: > > Bump SRCREV and add tidl offload support for AM5 > > > > On Mon, Mar 02, 2020 at 02:37:48PM -0500, Gou, Hongmei wrote: > > > > -----Original Message----- > > > > From: Dmytriyenko, Denys > > > > Sent: Monday, March 2, 2020 1:58 PM > > > > To: Gou, Hongmei > > > > Cc: meta-arago@arago-project.org > > > > Subject: Re: [meta-arago] [zeus/master] [PATCH] tensorflow-lite-demo: > > > > Bump SRCREV and add tidl offload support for AM5 > > > > > > > > On Fri, Feb 28, 2020 at 05:58:58PM -0500, Hongmei Gou wrote: > > > > > * Build the demos with tidl offload option for AM5 > > > > > * Include mobilenet v1 model for demonstrating tidl offload > > > > > * Remove the demo scripts under the files directory. The scripts are > > now > > > > > maintained in the source repo. > > > > > * Make adjustments with the updated Makefile > > > > > > > > > > Signed-off-by: Hongmei Gou <a0271529@ti.com> > > > > > --- > > > > > .../files/run_classification.sh | 7 ----- > > > > > .../tensorflow-lite/files/run_segmentation.sh | 8 ------ > > > > > .../tensorflow-lite-demo_git.bb | 27 +++++++++++-------- > > > > > 3 files changed, 16 insertions(+), 26 deletions(-) > > > > > delete mode 100644 meta-arago-extras/recipes-support/tensorflow- > > > > lite/files/run_classification.sh > > > > > delete mode 100644 meta-arago-extras/recipes-support/tensorflow- > > > > lite/files/run_segmentation.sh > > > > > > > > > > diff --git a/meta-arago-extras/recipes-support/tensorflow- > > > > lite/files/run_classification.sh b/meta-arago-extras/recipes- > > > > support/tensorflow-lite/files/run_classification.sh > > > > > deleted file mode 100644 > > > > > index b2ad7fc4..00000000 > > > > > --- a/meta-arago-extras/recipes-support/tensorflow- > > > > lite/files/run_classification.sh > > > > > +++ /dev/null > > > > > @@ -1,7 +0,0 @@ > > > > > -#!/bin/sh > > > > > - > > > > > -cd /usr/share/tensorflow-lite/demos > > > > > - > > > > > -# Run tflite_classification binary with the model, the input image, and > > the > > > > label file specified. > > > > > -# Classification label is overlayed with the input image. Right click the > > > > image display window to exit. > > > > > -./tflite_classification -m > > ../examples/mobilenet_v1_1.0_224_quant.tflite -i > > > > ../examples/grace_hopper.bmp -l ../examples/labels.txt > > > > > diff --git a/meta-arago-extras/recipes-support/tensorflow- > > > > lite/files/run_segmentation.sh b/meta-arago-extras/recipes- > > > > support/tensorflow-lite/files/run_segmentation.sh > > > > > deleted file mode 100644 > > > > > index 5caea127..00000000 > > > > > --- a/meta-arago-extras/recipes-support/tensorflow- > > > > lite/files/run_segmentation.sh > > > > > +++ /dev/null > > > > > @@ -1,8 +0,0 @@ > > > > > -#!/bin/sh > > > > > - > > > > > -cd /usr/share/tensorflow-lite/demos > > > > > - > > > > > -# Run tflite_segmentation binary with the model and the input image > > > > specified. > > > > > -# The display window shows the input(resized) image, segmentation > > map, > > > > overlay > > > > > -# of the former two. Right click the image display window to exit. > > > > > -./tflite_segmentation -m ./deeplabv3_257_mv_gpu.tflite -i > > > > ./bird_segmentation.bmp > > > > > diff --git a/meta-arago-extras/recipes-support/tensorflow- > > lite/tensorflow- > > > > lite-demo_git.bb b/meta-arago-extras/recipes-support/tensorflow- > > > > lite/tensorflow-lite-demo_git.bb > > > > > index 9b99b63c..57d6ef20 100644 > > > > > --- a/meta-arago-extras/recipes-support/tensorflow-lite/tensorflow- > > lite- > > > > demo_git.bb > > > > > +++ b/meta-arago-extras/recipes-support/tensorflow-lite/tensorflow- > > lite- > > > > demo_git.bb > > > > > @@ -1,33 +1,33 @@ > > > > > -DESCRIPTION = "Tensorflow Lite Demo with input and display via > > OpenCV > > > > and TIDL acceleration for AM5" > > > > > +SUMMARY = "Tensorflow Lite Demo with input and display via > > OpenCV > > > > and TIDL acceleration for AM5" > > > > > LICENSE = "Apache-2.0" > > > > > LIC_FILES_CHKSUM = > > > > "file://LICENSE;md5=d8927f3331d2b3e321b7dd1925166d25" > > > > > > > > > > DEPENDS = "tensorflow-lite flatbuffers opencv" > > > > > +DEPENDS_append_dra7xx = " tidl-api" > > > > > > > > > > COMPATIBLE_MACHINE = "ti33x|ti43x|omap-a15|am65xx" > > > > > +PACKAGE_ARCH = "${MACHINE_ARCH}" > > > > > > > > > > PV = "01.00.00" > > > > > -PR = "r0" > > > > > +PR = "r1" > > > > > > > > > > BRANCH = "master" > > > > > SRC_URI = "git://git.ti.com/apps/tensorflow-lite- > > > > examples.git;protocol=git;branch=${BRANCH} \ > > > > > > > > > > > http://storage.googleapis.com/download.tensorflow.org/models/tflite/gpu/ > > > > > > deeplabv3_257_mv_gpu.tflite;name=deeplabv3;subdir=${WORKDIR}/model > > > > ;destsuffix=model \ > > > > > - http://raw.githubusercontent.com/google- > > > > > > coral/edgetpu/master/test_data/bird_segmentation.bmp;name=bird_segm > > > > entation;subdir=${WORKDIR}/test_data;destsuffix=test_data \ > > > > > - file://run_classification.sh \ > > > > > - file://run_segmentation.sh" > > > > > + > > > > > > http://storage.googleapis.com/download.tensorflow.org/models/mobilenet > > > > > > _v1_2018_02_22/mobilenet_v1_1.0_224.tgz;name=mobilenetv1;subdir=${W > > > > ORKDIR}/model;destsuffix=model \ > > > > > + http://raw.githubusercontent.com/google- > > > > > > coral/edgetpu/master/test_data/bird_segmentation.bmp;name=bird_segm > > > > entation;subdir=${WORKDIR}/test_data;destsuffix=test_data" > > > > > > > > > > SRC_URI[deeplabv3.md5sum] = > > "4a24db5a5fb05c47586a1197765e8548" > > > > > SRC_URI[deeplabv3.sha256sum] = > > > > > > "68a539782c2c6a72f8aac3724600124a85ed977162b44e84cbae5db717c933c6" > > > > > +SRC_URI[mobilenetv1.md5sum] = > > "d5f69cef81ad8afb335d9727a17c462a" > > > > > +SRC_URI[mobilenetv1.sha256sum] = > > > > > > "1ccb74dbd9c5f7aea879120614e91617db9534bdfaa53dfea54b7c14162e126b" > > > > > SRC_URI[bird_segmentation.md5sum] = > > > > "fc3202ac4e3033b36df3043de6dc32c9" > > > > > SRC_URI[bird_segmentation.sha256sum] = > > > > > > "e43cedd29ab385db787531c8a6cdcb31c5e4292af34f242877ed40611e502670" > > > > > > > > > > -SRCREV = "d84f1d43585c0db2fa6a1c15db9145ab53f859ce" > > > > > +SRCREV = "bd6a429c21f96d5112e0b6dea44a13b748eefd74" > > > > > > > > > > S = "${WORKDIR}/git" > > > > > > > > > > -CXXFLAGS_append = " -O3 -DNDEBUG -fPIC -I${STAGING_INCDIR}" > > > > > -LDFLAGS_append = " -L${STAGING_LIBDIR}" > > > > > - > > > > > EXTRA_OEMAKE = "\ > > > > > 'CXX=${CXX}' \ > > > > > 'CXXFLAGS=${CXXFLAGS}' \ > > > > > @@ -37,8 +37,12 @@ EXTRA_OEMAKE = "\ > > > > > 'TARGET=${TARGET_OS}' \ > > > > > 'TARGET_ARCH=${TARGET_ARCH}'" > > > > > > > > > > +EXTRA_OEMAKE += "SYSROOT_INCDIR="${STAGING_INCDIR}" > > > > SYSROOT_LIBDIR="${STAGING_LIBDIR}" \ > > > > > + TIDL_API_DIR="${STAGING_DATADIR}/ti/tidl"" > > > > > + > > > > > +TIDL_dra7xx = "yes" > > > > > > > > Will TIDL be undefined for other platforms? > > > > > > Yes, TIDL is undefined for other platforms. > > > > > > > > > > > > > > > > do_compile() { > > > > > - oe_runmake -f Makefile > > > > > + oe_runmake -f Makefile TIDL_ACC=${TIDL} > > > > This will result in passing undefined variable to Makefile here > > > > Make you want to set it to "no" or empty "" for other platforms? > > Just submitted a V2 patch to set TIDL to "no" for non-AM5 platforms. Thanks. > In Makefile, TIDL_ACC is set to "no" if it is undefined: "TIDL_ACC ?= no". Yes, but above line will always redefine it to TIDL_ACC=${TIDL} and TIDL_ACC will never be "no" due to that, unless you set it in the recipe, like you did in v2. > > > > > } > > > > > > > > > > do_install() { > > > > > @@ -46,8 +50,9 @@ do_install() { > > > > > install -m 0755 ${S}/tflite_classification ${D}${datadir}/tensorflow- > > > > lite/demos > > > > > install -m 0755 ${S}/tflite_segmentation ${D}${datadir}/tensorflow- > > > > lite/demos > > > > > install -m 0644 ${WORKDIR}/model/deeplabv3_257_mv_gpu.tflite > > > > ${D}${datadir}/tensorflow-lite/demos > > > > > + install -m 0644 ${WORKDIR}/model/mobilenet_v1_1.0_224.tflite > > > > ${D}${datadir}/tensorflow-lite/demos > > > > > install -m 0644 ${WORKDIR}/test_data/bird_segmentation.bmp > > > > ${D}${datadir}/tensorflow-lite/demos > > > > > - install -m 0755 ${WORKDIR}/run*.sh ${D}${datadir}/tensorflow- > > > > lite/demos > > > > > + install -m 0755 ${S}/scripts/run*.sh ${D}${datadir}/tensorflow- > > > > lite/demos > > > > > } > > > > > > > > > > FILES_${PN} = "${datadir}/tensorflow-lite/demos" > > > > > -- > > > > > 2.17.1 > > > > > > > > > > _______________________________________________ > > > > > meta-arago mailing list > > > > > meta-arago@arago-project.org > > > > > http://arago-project.org/cgi-bin/mailman/listinfo/meta-arago ^ permalink raw reply [flat|nested] 6+ messages in thread
end of thread, other threads:[~2020-03-02 20:45 UTC | newest] Thread overview: 6+ messages (download: mbox.gz follow: Atom feed -- links below jump to the message on this page -- 2020-02-28 22:58 [zeus/master] [PATCH] tensorflow-lite-demo: Bump SRCREV and add tidl offload support for AM5 Hongmei Gou 2020-03-02 18:58 ` Denys Dmytriyenko 2020-03-02 19:37 ` Gou, Hongmei 2020-03-02 19:40 ` Denys Dmytriyenko 2020-03-02 20:25 ` Gou, Hongmei 2020-03-02 20:43 ` Denys Dmytriyenko
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