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Examples and tools for deep learning deployment

License: MIT License

Java 10.45% CMake 5.87% C++ 73.97% Python 6.50% Shell 0.53% HTML 1.11% C 1.57%

deeplearningdeployment's Introduction

本项目是深度学习部署案例的集合

我们不生产模型，模型文件均来自于GitHub开源项目。

包括的内容：

1. SimplestNCNNExample

一个非常精简的NCNN安卓端部署的例子。模型来自于Chineseocr_lite项目中的crnn_dense。

依赖： NCNN、 OpenCV

2. PyTorchYOLOv3Example

使用flask搭建一个PyTorchYOLOv3的演示界面。项目模型来自于PyTorchYOLOv3开源项目。

依赖: Flask、 PyTorch

3. ocr

将ChineseocrLite项目打包成安卓应用

依赖：NDK18、NCNN、OpenCV

todo list

安卓端部署：

  • 最简安卓部署案例——不加RNN的CRNN模型的安卓端部署
  • 将Chineseocr_lite项目打包成安卓app

服务端部署：

  • 部署一个PyTorch-YOLOv3的demo

计划添加的内容

  • Docker相关案例
  • 完整的人脸识别部署案例（检测+活体+特征提取+搜索）

deeplearningdeployment's People

Contributors

arctanxy avatar

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