Update/Add various recipes as per NXP release 6.1.1-1.0.0

conf/layer.conf

@@ -8,5 +8,5 @@ BBFILES += "${LAYERDIR}/recipes-*/*/*.bb \
 BBFILE_COLLECTIONS += "meta-freescale-ml"
 BBFILE_PATTERN_meta-freescale-ml := "^${LAYERDIR}/"
 BBFILE_PRIORITY_meta-freescale-ml = "8"
-LAYERSERIES_COMPAT_meta-freescale-ml = "kirkstone"
+LAYERSERIES_COMPAT_meta-freescale-ml = "kirkstone langdale mickledore"
 LAYERDEPENDS_meta-freescale-ml = "freescale-layer meta-python"

recipes-devtools/flatbuffers/flatbuffers_2.0.7.bb

@@ -0,0 +1,34 @@
+SUMMARY = "Memory Efficient Serialization Library"
+HOMEPAGE = "https://github.com/google/flatbuffers"
+SECTION = "console/tools"
+LICENSE = "Apache-2.0"
+
+PACKAGE_BEFORE_PN = "${PN}-compiler"
+DEPENDS = "flatbuffers-native"
+
+RDEPENDS:${PN}-compiler = "${PN}"
+RDEPENDS:${PN}-${PYTHON_PN} = "${PN}"
+RDEPENDS:${PN}-dev += "${PN}-compiler"
+
+LIC_FILES_CHKSUM = "file://LICENSE.txt;md5=3b83ef96387f14655fc854ddc3c6bd57"
+
+SRCREV = "8367664f15c3ea2ee58c67dacf9d630b49466de5"
+
+SRC_URI = "git://github.com/google/flatbuffers.git;branch=master;protocol=https"
+
+CVE_CHECK_IGNORE += "CVE-2020-35864"
+
+EXTRA_OECMAKE += "\
+    -DFLATBUFFERS_BUILD_TESTS=OFF \    
+    -DFLATBUFFERS_BUILD_SHAREDLIB=ON \
+"
+
+EXTRA_OECMAKE:append:class-target = " -DFLATBUFFERS_FLATC_EXECUTABLE=${STAGING_BINDIR_NATIVE}/flatc"
+
+inherit cmake python3native
+
+S = "${WORKDIR}/git"
+
+FILES:${PN}-compiler = "${bindir}"
+
+BBCLASSEXTEND = "native nativesdk"

recipes-devtools/flatbuffers/python3-flatbuffers_2.0.7.bb

@@ -0,0 +1,15 @@
+SUMMARY = "Memory Efficient Serialization Library - Python3 Modules"
+HOMEPAGE = "https://github.com/google/flatbuffers"
+SECTION = "console/tools"
+LICENSE = "Apache-2.0"
+
+LIC_FILES_CHKSUM = "file://../LICENSE.txt;md5=3b83ef96387f14655fc854ddc3c6bd57"
+
+SRCREV = "8367664f15c3ea2ee58c67dacf9d630b49466de5"
+SRC_URI = "git://github.com/google/flatbuffers.git;branch=master;protocol=https"
+S = "${WORKDIR}/git/python"
+
+RDEPENDS:${PN} = "flatbuffers"
+
+inherit setuptools3
+

recipes-fsl/packagegroups/packagegroup-fsl-ml.bb

@@ -1,35 +1,75 @@
+# Copyright 2019-2021 NXP
+# Released under the MIT license (see COPYING.MIT for the terms)
+
 DESCRIPTION = "Add packages for AI/ML build"
+LICENSE = "MIT"
+LIC_FILES_CHKSUM = "file://${COMMON_LICENSE_DIR}/MIT;md5=0835ade698e0bcf8506ecda2f7b4f302"
 
-PACKAGE_ARCH = "${MACHINE_SOCARCH}"
+PACKAGE_ARCH = "${TUNE_PKGARCH}"
 
 inherit packagegroup
 
 ML_NNSTREAMER_PKGS_LIST = " \
     nnstreamer \
+    nnstreamer-deepview-rt \
     nnstreamer-protobuf \
     nnstreamer-python3 \
+    nnstreamer-query \
     nnstreamer-tensorflow-lite \
 "
+
 ML_NNSTREAMER_PKGS = ""
 ML_NNSTREAMER_PKGS:mx8-nxp-bsp:imxgpu = "${ML_NNSTREAMER_PKGS_LIST}"
+ML_NNSTREAMER_PKGS:mx8mp-nxp-bsp      = "${ML_NNSTREAMER_PKGS_LIST} nnstreamer-tvm nnstreamer-unittest"
+ML_NNSTREAMER_PKGS:mx9-nxp-bsp        = "${ML_NNSTREAMER_PKGS_LIST}"
 
-ML_PKGS    ?= ""
+# i.MX8MP uses nnshark - other i.MX8/9 use raw gstshark
+ML_GST_PROFILER = ""
+#ML_GST_PROFILER:mx8-nxp-bsp   = "gst-shark"
+#ML_GST_PROFILER:mx8mp-nxp-bsp = "nnshark"
+#ML_GST_PROFILER:mx9-nxp-bsp   = "gst-shark"
+
+# These packages don't require any acceleration
+ML_PKGS            = ""
 ML_PKGS:mx8-nxp-bsp = " \
-    onnxruntime \
-    pytorch \
+    deepview-rt-examples \
+    onnxruntime-tests \
     tensorflow-lite \
     torchvision \
 "
-ML_PKGS:mx8mq-nxp-bsp = " \
-    deepview-rt \
-    tvm \
+ML_PKGS:mx9-nxp-bsp = " \
+    deepview-rt-examples \
+    onnxruntime-tests \
+    tensorflow-lite \
+    torchvision \
 "
-ML_PKGS:mx8mp-nxp-bsp = " \
-    deepview-rt \
+# These packages require acceleration, which currently maps to
+# all SOCs with GPU except for 8M Mini
+ML_ACCELERATED_PKGS                    = ""
+ML_ACCELERATED_PKGS:mx8-nxp-bsp:imxgpu = " \
+    tensorflow-lite-vx-delegate \
+"
+ML_ACCELERATED_PKGS:mx8mp-nxp-bsp      = " \
     tensorflow-lite-vx-delegate \
     tvm \
 "
+ML_ACCELERATED_PKGS:mx8mm-nxp-bsp      = ""
+
+
+# ARM ethos-u package
+ETHOS_U_PKGS = ""
+ETHOS_U_PKGS:mx93-nxp-bsp = " \
+    ethos-u-vela \
+    ethos-u-driver-stack \
+    tensorflow-lite-ethosu-delegate \
+    eiq-examples \
+"
+
+
 RDEPENDS:${PN} = " \
     ${ML_PKGS} \
+    ${ML_ACCELERATED_PKGS} \
     ${ML_NNSTREAMER_PKGS} \
+    ${ML_GST_PROFILER} \
+    ${ETHOS_U_PKGS} \
 "

recipes-libraries/arm-compute-library/arm-compute-library_22.05.bb

@@ -1,4 +1,4 @@
-# Copyright 2019-2022 NXP
+# Copyright 2019-2023 NXP
 SUMMARY = "The ARM Computer Vision and Machine Learning library"
 DESCRIPTION = "The ARM Computer Vision and Machine Learning library is a set of functions optimised for both ARM CPUs and GPUs."
 LICENSE = "MIT"
@@ -7,8 +7,8 @@ LIC_FILES_CHKSUM = "file://LICENSE;md5=f3c5879801d3cffc4ac2399f2b8e8ec5 \
 
 SRC_URI = "${ARM_COMPUTELIBRARY_SRC};branch=${SRCBRANCH}"
 ARM_COMPUTELIBRARY_SRC ?= "git://github.com/nxp-imx/arm-computelibrary-imx.git;protocol=https"
-SRCBRANCH = "lf-5.15.71_2.2.0"
-SRCREV = "a3f4331dc076f4e7d117fd6a2d4ef6c390fb383e"
+SRCBRANCH = "lf-6.1.1_1.0.0"
+SRCREV = "e9658b24c2dfac18961b0b098173732f39f4a31b"
 
 S = "${WORKDIR}/git"
 

recipes-libraries/deepview-rt/deepview-rt-examples_1.6.bb → recipes-libraries/deepview-rt/deepview-rt-examples_1.6.1.bb

@@ -1,12 +1,12 @@
 DESCRIPTION = "DeepViewRT examples"
 LICENSE = "Proprietary"
-LIC_FILES_CHKSUM = "file://COPYING;md5=5a0bf11f745e68024f37b4724a5364fe"
+LIC_FILES_CHKSUM = "file://COPYING;md5=ea25d099982d035af85d193c88a1b479"
 
 DEPENDS = "deepview-rt" 
 
 SRC_URI = "${FSL_MIRROR}/${BPN}-${PV}.bin;fsl-eula=true"
-SRC_URI[md5sum] = "0057ac72f1091b072f4347a945da03f5"
-SRC_URI[sha256sum] = "c24339bd9531bed6c71f3383262317ee23369302ef50084f8edce0467fcc9a5e"
+SRC_URI[md5sum] = "540cb3aaa22ef96ee44a59bbedb004b9"
+SRC_URI[sha256sum] = "333f145d7e742f2cbe08276e9eb5831973ff6520200353b2fe710b1255e63c01"
 S = "${WORKDIR}/${BPN}-${PV}"
 
 inherit fsl-eula-unpack pkgconfig

recipes-libraries/deepview-rt/deepview-rt_2.4.46-aarch64.bb → recipes-libraries/deepview-rt/deepview-rt_2.4.46.1-aarch64.bb

@@ -1,12 +1,12 @@
 DESCRIPTION = "This package includes the updated and experimental ModelRunner for TensorFlow Lite and ARM NN. Also in this repository is a pre-release of DeepViewRT with support for the OpenVX backend."
 LICENSE = "Proprietary"
-LIC_FILES_CHKSUM = "file://COPYING;md5=5a0bf11f745e68024f37b4724a5364fe"
+LIC_FILES_CHKSUM = "file://COPYING;md5=ea25d099982d035af85d193c88a1b479"
 
 DEPENDS = "python3 python3-pip-native"
 
 SRC_URI = "${FSL_MIRROR}/${BPN}-${PV}.bin;fsl-eula=true"
-SRC_URI[md5sum] = "c9693b096ad75852ad82f4e53062edbe"
-SRC_URI[sha256sum] = "c2bf31107b288d5cac8e5a17e555f30da07a9b99b4a3547f4dbf35544210995f"
+SRC_URI[md5sum] = "a4782e44df2254d30f7c6b0a45c4102e"
+SRC_URI[sha256sum] = "40d6c12bbe5fc29a257a1717684ec650bd390eb1565c5bca82ec56e3ffbcf918"
 S = "${WORKDIR}/${BPN}-${PV}"
 
 inherit fsl-eula-unpack python3native
@@ -18,6 +18,7 @@ PACKAGECONFIG_OPENVX:mx8mm-nxp-bsp      = ""
 # The tensorflow-lite implementation for 8ULP uses CPU, and so doesn't
 # support OpenVX
 PACKAGECONFIG_OPENVX:mx8ulp-nxp-bsp     = ""
+
 PACKAGECONFIG[openvx] = ",,,libopenvx-imx"
 
 do_install () {
@@ -53,4 +54,4 @@ INSANE_SKIP:${PN} += "dev-so dev-deps ldflags"
 
 BBCLASSEXTEND = "nativesdk"
 
-COMPATIBLE_MACHINE = "(mx8-nxp-bsp)"
+COMPATIBLE_MACHINE = "(mx8-nxp-bsp|mx9-nxp-bsp)"

recipes-libraries/eiq-examples/eiq-examples_git.bb

@@ -0,0 +1,28 @@
+SUMMARY = "The eiq examples based on Tf-lite"
+DESCRIPTION = "The eiq examples based on Tf-lite"
+LICENSE = "Apache-2.0"
+LIC_FILES_CHKSUM = "file://LICENSE;md5=86d3f3a95c324c9479bd8986968f4327"
+
+SRC_URI = "${EIQ_EXAMPLES_SRC};branch=${SRCBRANCH}"
+EIQ_EXAMPLES_SRC ?= "git://github.com/nxp-imx/eiq-example.git;protocol=https"
+SRCBRANCH = "lf-6.1.1_1.0.0"
+SRCREV = "798519ee033fb7a5aef989a793afe16f400d6479"
+
+S = "${WORKDIR}/git"
+
+do_install () {
+    # install scripts to /usr/bin
+    install -d ${D}${bindir}/${PN}-${PV}/
+    cp ${S}/download_models.py ${D}${bindir}/${PN}-${PV}/
+    cp -r ${S}/dms ${D}${bindir}/${PN}-${PV}/
+    cp -r ${S}/face_recognition ${D}${bindir}/${PN}-${PV}/
+    cp -r ${S}/image_classification ${D}${bindir}/${PN}-${PV}/
+    cp -r ${S}/object_detection ${D}${bindir}/${PN}-${PV}/
+    cp -r ${S}/gesture_detection ${D}${bindir}/${PN}-${PV}/
+}
+
+RDEPENDS:${PN} = "python3 python3-numpy python3-pillow python3-requests \
+                  python3-opencv python3-pillow tensorflow-lite"
+
+#Only support imx93 currently, will add other plantform support.
+COMPATIBLE_MACHINE = "(mx93-nxp-bsp)"