REL.10.01.00.04. Compatible with: Processor SDK Linux for Edge AI 10.…

…01.00.04
TexasInstruments · Dec 13, 2024 · 41fbfff · 41fbfff
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diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -4,9 +4,9 @@ Change Log
 ## Release 10.1.0 (2024-12-13)
 
 - Pre-built Robotics SDK Docker images are now publicly available: [Robotics SDK Docker Images](https://github.com/TexasInstruments/edgeai-robotics-sdk/pkgs/container/robotics-sdk). Please refer to the "Quick Start Guide" in [this documentation section](docker/setting_docker_ros2.md). All SDK demos are pre-built and installed in the SDK container filesystem.
-- The GIT repository for the Robotics SDK has been moved to GitHub: [https://github.com/TexasInstruments/edgeai-robotics-sdk](https://github.com/TexasInstruments/edgeai-robotics-sdk).
-- The build system for the Vision-Apps Linux libraries for ARM64 Ubuntu/Debian, specifically for TI EdgeAI platforms (TDA4VM, AM62A, AM67A, AM68A, and AM69A), is now public: [https://github.com/TexasInstruments-Sandbox/edgeai-vision-apps-lib-build](https://github.com/TexasInstruments-Sandbox/edgeai-vision-apps-lib-build).
-- The build system for the open-source deep-learning runtime libraries (ONNX Runtime, TFLite Runtime, NEO-AI-DLR) and TIDL runtime modules for ARM64 Ubuntu/Debian, specifically for TI EdgeAI platforms, is now available: [https://github.com/TexasInstruments-Sandbox/edgeai-osrt-libs-build](https://github.com/TexasInstruments-Sandbox/edgeai-osrt-libs-build).
+- The GIT repository for the Robotics SDK has been migrated to GitHub: [https://github.com/TexasInstruments/edgeai-robotics-sdk](https://github.com/TexasInstruments/edgeai-robotics-sdk).
+- The build system for the Vision-Apps Linux libraries for ARM64 Ubuntu/Debian, specifically for TI EdgeAI platforms (TDA4VM, AM62A, AM67A, AM68A, and AM69A), is now public: [https://github.com/TexasInstruments-Sandbox/edgeai-vision-apps-lib-build](https://github.com/TexasInstruments-Sandbox/edgeai-vision-apps-lib-build). Pre-built Vision-Apps libraries are available for download in the repository.
+- The build system for the open-source deep-learning runtime libraries (ONNX Runtime, TFLite Runtime, NEO-AI-DLR) and TIDL runtime modules for ARM64 Ubuntu/Debian, specifically for TI EdgeAI platforms, is now available: [https://github.com/TexasInstruments-Sandbox/edgeai-osrt-libs-build](https://github.com/TexasInstruments-Sandbox/edgeai-osrt-libs-build). Pre-built libraries are available for download in the repository.
 
 ## Release 10.0.0 (2024-08-16)
 

diff --git a/docker/Dockerfile.arm64.ti_libs b/docker/Dockerfile.arm64.ti_libs
@@ -93,27 +93,27 @@ RUN apt-get update && \
 
 # git-clone edgeai-gst-apps
 WORKDIR /opt
-RUN git clone --single-branch --branch 10.01.00.03 https://github.com/TexasInstruments/edgeai-gst-apps.git
+RUN git clone --single-branch --branch 10.01.00.04 https://github.com/TexasInstruments/edgeai-gst-apps.git
 
 # install apps-utils
-RUN /opt/edgeai-gst-apps/scripts/install_apps_utils.sh -b 10.01.00.03 && \
+RUN /opt/edgeai-gst-apps/scripts/install_apps_utils.sh -b 10.01.00.04 && \
     rm -rf /opt/edgeai-apps-utils
 
 # install dl-inferer
-RUN git clone --single-branch --branch 10.01.00.03 https://git.ti.com/cgit/edgeai/edgeai-dl-inferer && \
+RUN git clone --single-branch --branch 10.01.00.04 https://git.ti.com/cgit/edgeai/edgeai-dl-inferer && \
     /opt/edgeai-dl-inferer/scripts/build_dl_inferer.sh && \
     rm -rf /opt/edgeai-dl-inferer
 
 # install edgeai-tiovx-kernels
-RUN /opt/edgeai-gst-apps/scripts/install_tiovx_kernels.sh -b 10.01.00.03 && \
+RUN /opt/edgeai-gst-apps/scripts/install_tiovx_kernels.sh -b 10.01.00.04 && \
     rm -rf /opt/edgeai-tiovx-kernels
 
 # install edgeai-tiovx-modules
-RUN /opt/edgeai-gst-apps/scripts/install_tiovx_modules.sh -b 10.01.00.03 && \
+RUN /opt/edgeai-gst-apps/scripts/install_tiovx_modules.sh -b 10.01.00.04 && \
     rm -rf /opt/edgeai-tiovx-modules
 
 # install edgeai-gst-plugins
-RUN /opt/edgeai-gst-apps/scripts/install_gst_plugins.sh -b 10.01.00.03 && \
+RUN /opt/edgeai-gst-apps/scripts/install_gst_plugins.sh -b 10.01.00.04 && \
     rm -rf /opt/edgeai-gst-plugins
 
 # install python modules for DL RT
@@ -122,7 +122,7 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
     python3 -m pip install --no-cache-dir PyYAML
 
 # install ti-gpio-cpp
-RUN /opt/edgeai-gst-apps/scripts/install_ti_gpio_libs.sh -b 10.01.00.03
+RUN /opt/edgeai-gst-apps/scripts/install_ti_gpio_libs.sh -b 10.01.00.04
 
 # build perf_stats tool
 RUN cd /opt/edgeai-gst-apps/scripts/perf_stats && \

diff --git a/docker/Makefile b/docker/Makefile
@@ -8,13 +8,13 @@ ROS_VER          ?= 2
 GPUS             ?= n
 
 # Robotics SDK version
-SDK_VER          ?= 10.1.0.3
-EDGEAI_VER       ?= 10.1.0.3
+SDK_VER          ?= 10.1.0
+EDGEAI_VER       ?= 10.1.0.4
 TIVA_LIB_VER     ?= 10.1.0
 RPMSG_LIB_VER    ?= 0.6.7
 
 # Used in install_vision_apps_lib.sh, install_osrt_libs.sh, install_tidl_libs.sh
-LIB_REL_TAG      ?= 10.01.00.03
+LIB_REL_TAG      ?= 10.01.00.04
 SDK_VER_MAJOR    ?= 10.1.0
 
 # Set the operating variables based on the ROS version specified

diff --git a/docker/set_aliases.sh b/docker/set_aliases.sh
@@ -49,7 +49,6 @@ alias gscam_ss="ros2 launch ti_vision_cnn gscam_semseg_cnn_launch.py cam_id:=\$C
 alias gscam_od="ros2 launch ti_vision_cnn gscam_objdet_cnn_launch.py cam_id:=\$CAM_ID"
 alias gscam_6dpose="ros2 launch ti_vision_cnn gscam_6dpose_cnn_launch.py cam_id:=\$CAM_ID"
 alias gscam_hp="ros2 launch ti_vision_cnn gscam_humanpose_cnn_launch.py cam_id:=\$CAM_ID"
-alias gscam_odradar="ros2 launch ti_objdet_radar gscam_mmwave_objdet_radar_launch.py cam_id:=\$CAM_ID"
 
 # demo launches with ZED stereo camera
 alias zed_cap="ros2 launch zed_capture zed_capture_launch.py cam_id:=\$CAM_ID zed_sn_str:=\$ZED_SN"
@@ -64,6 +63,7 @@ alias zed_odrange="ros2 launch ti_objdet_range zed_objdet_range_launch.py cam_id
 alias imx219_cap="ros2 launch gscam2 v4l_imx219_launch.py cam_id:=\$CAM_ID subdev_id:=\$SUBDEV_ID"
 alias imx219_ss="ros2 launch ti_vision_cnn gscam_semseg_cnn_imx219_launch.py cam_id:=\$CAM_ID subdev_id:=\$SUBDEV_ID"
 alias imx219_od="ros2 launch ti_vision_cnn gscam_objdet_cnn_imx219_launch.py cam_id:=\$CAM_ID subdev_id:=\$SUBDEV_ID"
+alias imx219_odradar="ros2 launch ti_objdet_radar gscam_mmwave_objdet_radar_launch.py cam_id:=\$CAM_ID subdev_id:=\$SUBDEV_ID"
 
 # demo launches with IMX390 CSI camera with Fusion board
 alias gen_imx390_ldc="bash /opt/robotics_sdk/tools/mono_camera/imx390_ldc.sh"