14.7. Release notes version 08.06.00¶
14.7.1. New in this Release¶
First release of Edge AI app stack on AM69Ax device
Supports popular deep learning runtime frameworks such as TFLite-RT, ONNX-RT, Neo-AI-DLR runtime
Validated over 50+ pre-imported models via TI Edge AI model zoo
Out-of-box GUI based demo for quick evaluation of different deep learning tasks
Reference Python and C++ GStreamer and Open CV based applications for quick prototyping
Optimized GStreamer based end-to-end pipelines using OpTIFlow.
Easy to use, custom GStreamer plugins to seamlessly access underlying hardware accelerators
Supports a wide range of inputs such as compressed video files (H.264/H.265), RTSP sources, USB camera, Rpi v2 camera Out-of-box
14.7.2. Fixed in this Release¶
None, first release on AM69Ax device
14.7.3. Known Issues¶
EDGEAI_ROBOTICS-819 - tiovxisp element infrequently throws error while exiting edgeai-gst-apps
EDGEAI_ROBOTICS-648 - tiovxdlcolorconvert fails when the image height/2 is not an even number
EDGEAI_ROBOTICS-642 - Mosaic element hangs when both instances of MSC are used in multi-input multi-inference usecase
EDGEAI_ROBOTICS-640 - LDC introduces image format while working with 1936 x 1096 resolution
14.7.4. Software components¶
List of software components used in this version
Component |
Version |
|---|---|
Foundation Linux |
08.06.00.12 |
Python |
3.8 |
OpenCV |
4.1.0 |
GStreamer |
1.16.3 |
Cmake |
3.16.5 |
Ninja |
1.10.0 |
Meson |
0.53.2 |
Jupyterlab |
3.0.14 |
NeoAI - DLR |
1.10.0 |
Tensorflow |
TIDL_PSDK_8.6 |
TFLite-runtime |
TIDL_PSDK_8.6 |
ONNX-runtime |
TIDL_PSDK_8.6 |
PyYAML |
5.3.1 |
TI Model Zoo |
8.6.0 |
edgeai-app-stack |
8.6.0.3 |
edgeai-tidl-tools |
08_06_00_02 |