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Hi:
I was using TDA2 platform to develop object detection(ssd-jacinto) application,
but by my testing (link), the model latency run on TDA2 platform will be above 130 ms (27-fps) which not satisfied my requirement (less than 1000/30 ms).
However, my boss ask me evaluating the TDA4 platform, so a few question below:
1. Did anyone test/verify ssd-jacinto model on TDA4 platform?
2. How about ssd-jacinto model latency time running on TDA4 platform?
3. Is TDA4 platform capable of running ssd-jacinto model above 30-fps?
4. What is SDK supporting the TDA4 platform?
Thanks
Best / Regards
You can find a lot of TDA4 resources here: https://www.ti.com/product/TDA4VM
(Including specifications, application notes and information about software).
Specifically, information about SDK is here: https://www.ti.com/tool/PROCESSOR-SDK-DRA8X-TDA4X
Information about training Deep Learning Models (including Semantic Segmentation, Object Detection etc) is here: https://github.com/TexasInstruments/jacinto-ai-devkit
We provide training examples and scripts for training SSD and RetinaNet object detectors using the repository pytorch-mmdetection. We also have scripts to export the model into a format (.onnx and .prototxt) that TIDL can understand.
I hope this information helps you to get started.