[zeus/master] [PATCH 2/3 v2] tensorflow-lite-demo: add version 01.00.00

[zeus/master] [PATCH 2/3 v2] tensorflow-lite-demo: add version 01.00.00

[Hongmei Gou]

* 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 <a0271529@ti.com>
---
v2 change: replace "DESCRIPTION" with "SUMMARY"

 .../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..aac5e811
--- /dev/null
+++ b/meta-arago-extras/recipes-support/tensorflow-lite/tensorflow-lite-demo_git.bb
@@ -0,0 +1,53 @@
+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"
+
+COMPATIBLE_MACHINE = "ti33x|ti43x|omap-a15|am65xx"
+
+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_segmentation;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