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"Vitis-AI-YOLOv3-TF2-Quantization-Evaluation" Repo for quantization of YOLOv3 on Vitis-AI using TF2, aimed to deploy model on edge devices with limited resources. Includes training & quantization scripts and evaluation metrics. Experiment with different configurations.

License: MIT License

Shell 72.32% Python 27.68%
computer-vision docker python quantization tensorflow vitis-ai yolov3 deep-learning edge-computing machine-learning

vitis-ai-yolov3-tf2-quantization-evaluation's Introduction

🇬🇧 English | 🇹🇼 繁體中文 | 🇫🇷 Français

Hi 👋, I'm YI HUNG, WONG

An ML/DL engineer from Taiwan.

yihong1120

yihong1120

  • 🔭 I’m currently service in MediaTek

  • 🌱 I’m currently learning Cloud Computation, LLM, Computer Vision

  • 💬 Ask me about Python, Cloud Computing, Tensorflow, Pytorch

  • 📫 How to reach me [email protected]

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yi-hung-wong-7b7859a1 翁逸宏 yihong1120

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azure csharp css3 django docker dotnet flask gcp git html5 linux mssql mysql nginx opencv pandas postman python pytorch qt scikit_learn seaborn swift tensorflow

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