From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: from lelv0142.ext.ti.com (lelv0142.ext.ti.com [198.47.23.249]) by arago-project.org (Postfix) with ESMTPS id 245FB529D8 for ; Fri, 28 Feb 2020 17:27:29 +0000 (UTC) Received: from lelv0266.itg.ti.com ([10.180.67.225]) by lelv0142.ext.ti.com (8.15.2/8.15.2) with ESMTP id 01SHPRkE079788 for ; Fri, 28 Feb 2020 11:25:27 -0600 DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=ti.com; s=ti-com-17Q1; t=1582910727; bh=0muN6i4rYAY7/rnjlIYFmr479nq8doDACWpdabjH/DM=; h=Date:From:To:CC:Subject:References:In-Reply-To; b=IQOHbHwk+Bv6XUUBC+MoefRifLfTFqsHpaoVg1VVC0Try4nmA/kSD26XEOS/S6XfY C7XJH4i5v1rEAGxs7nhY619oICWRZswvNrM7VeQZchDCcEj14ndkVjnwWKHBARJxNq qQm/AuUokWgoHEfY7JX5+diU2TH/tFZAKvyNRMSE= Received: from DFLE108.ent.ti.com (dfle108.ent.ti.com [10.64.6.29]) by lelv0266.itg.ti.com (8.15.2/8.15.2) with ESMTPS id 01SHPR0x042433 (version=TLSv1.2 cipher=AES256-GCM-SHA384 bits=256 verify=FAIL) for ; Fri, 28 Feb 2020 11:25:27 -0600 Received: from DFLE104.ent.ti.com (10.64.6.25) by DFLE108.ent.ti.com (10.64.6.29) with Microsoft SMTP Server (version=TLS1_2, cipher=TLS_ECDHE_RSA_WITH_AES_128_CBC_SHA256_P256) id 15.1.1847.3; Fri, 28 Feb 2020 11:25:27 -0600 Received: from lelv0327.itg.ti.com (10.180.67.183) by DFLE104.ent.ti.com (10.64.6.25) with Microsoft SMTP Server (version=TLS1_2, cipher=TLS_ECDHE_RSA_WITH_AES_128_CBC_SHA256_P256) id 15.1.1847.3 via Frontend Transport; Fri, 28 Feb 2020 11:25:27 -0600 Received: from localhost (ileax41-snat.itg.ti.com [10.172.224.153]) by lelv0327.itg.ti.com (8.15.2/8.15.2) with ESMTP id 01SHPR1p010485; Fri, 28 Feb 2020 11:25:27 -0600 Date: Fri, 28 Feb 2020 12:25:26 -0500 From: Denys Dmytriyenko To: "Gou, Hongmei" Message-ID: <20200228172526.GH2466@beryl> References: <20200225231226.24898-1-a0271529@ti.com> <20200225231226.24898-2-a0271529@ti.com> <20200227231450.GA2466@beryl> <20200228171206.GE2466@beryl> <92987f994a9c49c5ae44a75c80dad390@ti.com> MIME-Version: 1.0 In-Reply-To: <92987f994a9c49c5ae44a75c80dad390@ti.com> User-Agent: Mutt/1.5.24 (2015-08-30) X-EXCLAIMER-MD-CONFIG: e1e8a2fd-e40a-4ac6-ac9b-f7e9cc9ee180 Cc: "meta-arago@arago-project.org" Subject: Re: [zeus/master] [PATCH 2/3] tensorflow-lite-demo: add version 01.00.00 X-BeenThere: meta-arago@arago-project.org X-Mailman-Version: 2.1.12 Precedence: list List-Id: Arago metadata layer for TI SDKs - OE-Core/Yocto compatible List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Fri, 28 Feb 2020 17:27:29 -0000 Content-Type: text/plain; charset="us-ascii" Content-Disposition: inline On Fri, Feb 28, 2020 at 12:22:36PM -0500, Gou, Hongmei wrote: > > -----Original Message----- > > From: Dmytriyenko, Denys > > Sent: Friday, February 28, 2020 12:12 PM > > To: Gou, Hongmei > > Cc: meta-arago@arago-project.org > > Subject: Re: [meta-arago] [zeus/master] [PATCH 2/3] tensorflow-lite-demo: > > add version 01.00.00 > > > > On Fri, Feb 28, 2020 at 12:00:46PM -0500, Gou, Hongmei wrote: > > > > -----Original Message----- > > > > From: Dmytriyenko, Denys > > > > Sent: Thursday, February 27, 2020 6:15 PM > > > > To: Gou, Hongmei > > > > Cc: meta-arago@arago-project.org > > > > 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 > > > > > --- > > > > > .../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"? > > > > Either. > > Thank you! Just submitted a v2 patch to replace "DESCRIPTION" with "SUMMARY". SUMMARY is required and is a short one-line. DESCRIPTION is optional and can be a longer, more detailed one. BTW, I already merged v1 - can you please submit a separate change? Thanks! > > > > > +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. > > > > Yes, pushed a fix for that - OpenCV was limited to DSP-enabled platforms in > > Zeus due to initial integration limitations. > > > > > > > > > +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 > > > > > meta-arago@arago-project.org > > > > > http://arago-project.org/cgi-bin/mailman/listinfo/meta-arago