MaitreChen/openvino-lenet-sample
本仓库包含了完整的深度学习应用开发流程，以经典的手写字符识别为例，基于LeNet网络构建。推理部分使用torch、onnxruntime以及openvino框架💖
This project helps developers build and deploy deep learning applications for image recognition, specifically for handwritten digit recognition. It takes an input image and outputs the predicted digit. This is intended for embedded systems developers or machine learning engineers who need to deploy models on resource-constrained edge devices like Raspberry Pi.
Use this if you are a developer looking to deploy a compact, high-performance image recognition model on edge devices, especially for tasks like handwritten digit classification.
Not ideal if you need to build a complex, large-scale deep learning model for general computer vision tasks or if you are not comfortable with model optimization techniques like pruning and quantization.
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Language
Python
License
MIT
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Last pushed
Nov 13, 2025
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