12.1.3. Release notes version 08.06.00

12.1.3.1. New in this Release

  • First release of Edge AI app stack on AM62Ax 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

12.1.3.2. Fixed in this Release

  • None, first release on AM62Ax device

12.1.3.3. 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

12.1.3.4. Software components

List of software components used in this version

Component

Version

Foundation Linux

08.06.00.45

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