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RubenPadial's avatar
RubenPadial
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3 years ago

Intel FPGA AI Suite Inference Engine

Hello, I'm using Intel FPGA AI 2023.2 on ubuntu 20.04 host computer and trying to infer a custom CNN in a Intel Arria 10 SoC FPGA. I have followed Intel FPGA AI Suite SoC Design Example Guide and I...
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RubenPadial's avatar
RubenPadial
Icon for Contributor rankContributor
3 years ago

Hello,

IR and compiled graph were succesfully obtained. The question is how to run the model. In the example S2M image_streaming_app and streaming_inference_app are executed. The problems are:

  • The input date must be in 224x224x3 BGR .bmp format, while my NN input data is 3 channel float data array. The NN was trained in this way and IR and graph was get accordingly. I can convert the data to bmp by my input size is 3360x360x3. I can change width and height with image_streaming_app flags but I don't know if it works because the input buffer.
  • The output is comparted directly with "/app/categories.txt" file and the top 5 scores are given in result.txt. My output is completely different. I have 225 outputs. How can I get the gross output?

The other example, M2M example uses dla_benchmark app. And the problem is the same, how to change the input or how to use it with different input size and how to read the output