> -----Original Message-----
> From: Dmytriyenko, Denys
> Sent: Thursday, February 27, 2020 6:15 PM
> To: Gou, Hongmei
> Cc: [email protected]
> Subject: Re: [meta-arago] [zeus/master] [PATCH 2/3] tensorflow-lite-demo:
> add version 01.00.00
>
> On Tue, Feb 25, 2020 at 06:12:25PM -0500, Hongmei Gou wrote:
> > * This supports classification and segmentation demos with tensorflow lite
> models
> > running on Arm. It demonstrates the whole pipeline from
> image/video/camera input,
> > to tensorflow lite inference, to display the classification/segemenation
> results.
> >
> > * OpenCV is used for capturing the input and displaying the results.
> >
> > Signed-off-by: Hongmei Gou <[email protected]>
> > ---
> > .../files/run_classification.sh | 7 +++
> > .../tensorflow-lite/files/run_segmentation.sh | 8 +++
> > .../tensorflow-lite-demo_git.bb | 53 +++++++++++++++++++
> > 3 files changed, 68 insertions(+)
> > create mode 100644 meta-arago-extras/recipes-support/tensorflow-
> lite/files/run_classification.sh
> > create mode 100644 meta-arago-extras/recipes-support/tensorflow-
> lite/files/run_segmentation.sh
> > create mode 100644 meta-arago-extras/recipes-support/tensorflow-
> lite/tensorflow-lite-demo_git.bb
> >
> > 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
> > new file mode 100644
> > index 00000000..b2ad7fc4
> > --- /dev/null
> > +++ b/meta-arago-extras/recipes-support/tensorflow-
> lite/files/run_classification.sh
> > @@ -0,0 +1,7 @@
> > +#!/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
> > new file mode 100644
> > index 00000000..5caea127
> > --- /dev/null
> > +++ b/meta-arago-extras/recipes-support/tensorflow-
> lite/files/run_segmentation.sh
> > @@ -0,0 +1,8 @@
> > +#!/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
> > new file mode 100644
> > index 00000000..9b99b63c
> > --- /dev/null
> > +++ b/meta-arago-extras/recipes-support/tensorflow-lite/tensorflow-lite-
> demo_git.bb
> > @@ -0,0 +1,53 @@
> > +DESCRIPTION = "Tensorflow Lite Demo with input and display via OpenCV
> and TIDL acceleration for AM5"
>
> SUMMARY?
Do you mean adding "SUMMARY" or replacing "DESCRIPTION" with "SUMMARY"?
>
>
> > +LICENSE = "Apache-2.0"
> > +LIC_FILES_CHKSUM =
> "file://LICENSE;md5=d8927f3331d2b3e321b7dd1925166d25"
> > +
> > +DEPENDS = "tensorflow-lite flatbuffers opencv"
> > +
> > +COMPATIBLE_MACHINE = "ti33x|ti43x|omap-a15|am65xx"
>
> Why ^^^?
This demo has dependency on OpenCV for GUI display, which is available for the
machines above.
>
>
> > +PV = "01.00.00"
> > +PR = "r0"
> > +
> > +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=${WORKDIR}/test_data;destsuffix=test_data \
> > + file://run_classification.sh \
> > + file://run_segmentation.sh"
> > +
> > +SRC_URI[deeplabv3.md5sum] = "4a24db5a5fb05c47586a1197765e8548"
> > +SRC_URI[deeplabv3.sha256sum] =
> "68a539782c2c6a72f8aac3724600124a85ed977162b44e84cbae5db717c933c6"
> > +SRC_URI[bird_segmentation.md5sum] =
> "fc3202ac4e3033b36df3043de6dc32c9"
> > +SRC_URI[bird_segmentation.sha256sum] =
> "e43cedd29ab385db787531c8a6cdcb31c5e4292af34f242877ed40611e502670"
> > +
> > +SRCREV = "d84f1d43585c0db2fa6a1c15db9145ab53f859ce"
> > +
> > +S = "${WORKDIR}/git"
> > +
> > +CXXFLAGS_append = " -O3 -DNDEBUG -fPIC -I${STAGING_INCDIR}"
> > +LDFLAGS_append = " -L${STAGING_LIBDIR}"
> > +
> > +EXTRA_OEMAKE = "\
> > + 'CXX=${CXX}' \
> > + 'CXXFLAGS=${CXXFLAGS}' \
> > + 'AR=${AR}' \
> > + 'LD=${LD}' \
> > + 'LDFLAGS=${LDFLAGS}' \
> > + 'TARGET=${TARGET_OS}' \
> > + 'TARGET_ARCH=${TARGET_ARCH}'"
> > +
> > +do_compile() {
> > + oe_runmake -f Makefile
> > +}
> > +
> > +do_install() {
> > + install -d ${D}${datadir}/tensorflow-lite/demos
> > + 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}/test_data/bird_segmentation.bmp
> ${D}${datadir}/tensorflow-lite/demos
> > + install -m 0755 ${WORKDIR}/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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