> -----Original Message-----
> From: Dmytriyenko, Denys
> Sent: Monday, March 2, 2020 1:58 PM
> To: Gou, Hongmei
> Cc: [email protected]
> 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 <[email protected]>
> > ---
> > .../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
> > [email protected]
> > http://arago-project.org/cgi-bin/mailman/listinfo/meta-arago
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