【精华】NanoDet Plus之ncnn部署(Linux)

目录

        • (1)准备工作
        • (2)操作步骤
          • step1
          • step2
          • step3
        • (3)参考教程

本项目实现在linux平台使用ncnn部署NanoDet Plus模型的功能,内容亲测有效,可作为通用ncnn模型部署参考项目。

(1)准备工作

  • 下载安卓的项目包:https://github.com/nihui/ncnn-android-nanodet
  • NanoDet Plus ncnn模型:*.bin、*.param

(2)操作步骤

step1

https://github.com/Tencent/ncnn/releases

  • Download ncnn-YYYYMMDD-android-vulkan.zip or build ncnn for android yourself
  • Extract ncnn-YYYYMMDD-android-vulkan.zip into app/src/main/jni and change the ncnn_DIR path to yours in app/src/main/jni/CMakeLists.txt
step2

https://github.com/nihui/opencv-mobile

  • Download opencv-mobile-XYZ-android.zip
  • Extract opencv-mobile-XYZ-android.zip into app/src/main/jni and change the OpenCV_DIR path to yours in app/src/main/jni/CMakeLists.txt
step3
  • Open this project with Android Studio, build it and enjoy!

(3)参考教程

  • 安卓部署:手机端Anchor-free的目标检测模型Nanodet

  • 安卓手机部署nanodet

  • 安卓端深度学习模型部署-以NCNN为例

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