LPCV Winner Solution of Spring Team

Related tags

Miscellaneous LPCV2021_Winner_Solution
Overview

LPCV Winner Solution of Spring Team

Background

Challenge link: https://lpcv.ai/2021LPCVC/fpga-track

Leaderboard: https://lpcv.ai/scoreboard/FPGA21

Environment

Xilinx Board: Ultra-96 V2

System: https://github.com/Avnet/Ultra96-PYNQ/releases v2.6

git clone --recursive --shallow-submodules https://github.com/Xilinx/DPU-PYNQ
cd DPU-PYNQ/upgrade
make
pip3 install pynq-dpu

Note: replace the image.ub with the LPCV provided one.

Build

cd nms
python3 build.py install

Evaluation

Evaluate in the jupyternote book: evaluation.ipynb.

Contributors

Jiahao Hu, Pu Li, Yongqiang Yao, Ruihao Gong

Reference Links

The detection model is trained by EOD. The Quantization can be fulfilled with MQBench.

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Comments
  • Quantized model

    Quantized model

    Hi,

    Nice work! I would like to test the model on another board, where can I find the quantized model so I can compile it for another DPU target?

    Best regards!

    opened by jlamperez 0
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