Release notes version 00.04.02¶
New in this Release¶
First release of Edge AI SDK on TDA4VM device.
Python based Deep-learning demos run on host Linux for quick evaluation
C++ based Deep-learning demos run in Docker container with Ubuntu 20.04.LTS
Deep-learning applications such as image classification, object detection and semantic segmentation provided in both C++ and Python
Each application is validated with TFLite runtime and NeoAI-DLR runtime offloaded to deep-learning accelerators.
Demonstration of GStreamer to interact with USB cameras and eDP/HDMI display
Use of OpenCV to perform pre and post processing on A72.
All demos are validated using models in TI Model Zoo (2.0) for TFLite and TVM based Neo-AI-DLR.
Fixed in this Release¶
NA
Known Issues¶
ADASVISION-4719 - C++ apps exits throwing an error for video inputs
ADASVISION-4720 - Output video encode framerate incorrect it is hardcoded to 30fps
ADASVISION-4721 - Docker session restart required sometimes when demos exit abruptly with Ctrl+C
ADASVISION-4722 - Demo with video input does not loop continuously like image inputs
ADASVISION-4723 - Python demos cannot be run in docker session
ADASVISION-4724 - C++ demos cannot be built or run in the host OS
ADASVISION-4725 - Building OpenCV in docker container on target fails throwing out of memory error
Software components¶
List of software components used in this version
Componenet |
Version |
|---|---|
PSDKLA (filesystem, uboot) |
07.03.00.05 |
PSDKRA (firmware) |
07.03.00.07 |
Docker |
19.03.8-ce |
Ubuntu (Docker) |
20.04.LTS |
Python |
3.8 |
OpenCV |
4.5.1 |
GStreamer |
1.16.2 |
Cmake |
3.16.3 |
Ninja |
1.10.0 |
Meson |
0.57.2 |
Jupyterlab |
3.0.14 |
NeoAI - DLR |
1.8.0 |
Tensorflow |
2.4 |
TFLite-runtime |
2.5.0 |
PyYAML |
5.4.1 |
TI Model Zoo |
2.0 |