14.10. Release notes version 08.02.00¶
14.10.1. New in this Release¶
Support for Sony’s IMX390 FPD link based sensors and Fusion1 board
Support for 8 channel capture of Sony’s IMX390 FPD link based sensors at 2MP @ 30fps using virtual channels
Support for Sony’s IMX219 Rpi camera with 10-bit capture support
Multi-instance Human pose estimation demo in edgeai-gst-apps
Updated edgeai-gst-plugins with multi-channel support
Updated tiovxisp <https://github.com/TexasInstruments/edgeai-gst-plugins/wiki/tiovxisp> Gstreamer element with IMX390 support
Improved tiovxdlpreproc <https://github.com/TexasInstruments/edgeai-gst-plugins/wiki/tiovxdlpreproc> Gstreamer element with DMA optimizations to provide 2x performance lift
New tiovxdlcolorconvert Gstreamer element with DMA optimizations to provide 4x performance lift
Updated performance visualization tool with realtime junction temperature readings of CPU, GPU, C7x DSP and R5F cores
Validation of Intel-9260 WiFi card <https://www.amazon.in/Intel-Wireless-Ac-9260-2230-Gigabit/dp/B079QJQF4Y> in Access Point and Station mode
Enablement of Pulse Width Modulation (PWM) hardware accelerator
14.10.2. Fixed in this Release¶
ADASVISION-5149 - Hostname incorrect in SK shows j7-evm instead of tda4vm-sk
ADASVISION-5117 - USB 3.0 device is recognized as USB 2.1 sometimes
ADASVISION-4953 - Video looping does not work with v4l2 HW decoder plugin
ADASVISION-4943 - IMX219 based Rpi camera cannot capture data correctly for 10 bit format
ADASVISION-4809 - Python and C++ apps cannot measure pre and post processing time accurately
14.10.3. Known Issues¶
ADASVISION-5463 - ONR-OD-8000 model fails with IMX390 in CPP app due to 1200x1200 resolution
ADASVISION-5113 - GST Pipeline error: Error pulling tensor from GST Pipeline
ADASVISION-5070 - Edge AI demo output not resizing properly on 4K monitor
ADASVISION-4997 - Multi-input multi-inference demo freezes after long duration run
ADASVISION-4794 - Application takes 10-15 seconds to come up in some cases
ADASVISION-5454 - tiovxdlcolorcovert does not support UYVY
ADASVISION-5447 - Models failing due to tiovxdlcolorconvert limitation
ADASVISION-5421 - No metadata file was found for CPP apps with TVM models
ADASVISION-5420 - No valid frames found before end of stream
14.10.4. Model Zoo¶
About 83 models from 8.2 model zoo are regressed with multiple input sources such as camera and video files. A list of unsupported models are as below,
- Height/2 is odd, tiovxdlpreproc block fetch logic fails
TFL-CL-0100-efficientNet-edgeTPU-m
TFL-CL-0140-efficientNet-lite4
TFL-CL-0170-efficientNet-lite1
TFL-CL-0190-efficientNet-edgeTPU-l
- High latency causes DSS underflow
ONR-SS-8730-deeplabv3-mobv3-lite-large-cocoseg21-512x512
- Odd resolution, tiovxdlcolorconvert fails
TVM-CL-3430-gluoncv-mxnet-xception
TFL-CL-0040-InceptionNetV3
- Human pose model with unsupported post processing
ONR-KD-7000-human-pose-ae-mobv2-fpn-spp-udp-512x512
ONR-KD-7010-human-pose-ae-res50v2-fpn-spp-udp-512x512
ONR-KD-7020-human-pose-ae-mobv2-pan-spp-udp-512x512
ONR-KD-7030-human-pose-ae-res50v2-pan-spp-udp-512x512
Note
Please also refer to edgeai-gst-plugins issues for more details on bugs filed on custom GStreamer plugins
14.10.5. Software components¶
List of software components used in this version
Componenet |
Version |
---|---|
PSDKLA (filesystem, uboot) |
08.02.00.04 |
PSDKRA (firmware) |
08.02.00.06 |
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 |
TIDL_PSDK_8.2 |
TFLite-runtime |
TIDL_PSDK_8.2 |
ONNX-runtime |
TIDL_PSDK_8.2 |
PyYAML |
5.4.1 |
TI Model Zoo |
8.2.0 |
edgeai-gst-plugins |
0.6.0 |
edgeai-tiovx-modules |
8.2.0 |
edgeai-tidl-tools |
8.2.0.5 |