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Mobile Detection Benchmark

This repo is used to test the speed of the mobile terminal models with NCNN

Requirements

  • NCNN: ncnn-20201218-android-vulkan

Quick Start

  1. Download ncnn-20201218-android-vulkan.zip or build ncnn for android yourself

  2. Extract ncnn-20201218-android-vulkan.zip into app/src/main/jni or change the ncnn_DIR path to yours in app/src/main/jni/CMakeLists.txt

  3. Open this project with Android Studio, download model param and extract into app/src/assets

  4. Add input shape for Input layer

    7767517
227 252
Input            data                     0 1 data -23330=4,3,320,320,3 0=320 1=320 2=3
Convolution      Conv_0                   1 1 data 940 0=24 1=3 11=3 2=1 12=1 3=2 13=2 4=1 14=1 15=1 16=1 5=1 6=648
ReLU             LeakyRelu_1              1 1 940 424 0=1.000000e-01

  5. Register all your model output head in app/src/main/jni/model_head.h and add your model in app/src/main/jni/benchmarkncnn_jni.cpp

  6. Run android project and enjoy it !

screenshot

Refer from

[email protected]:nihui/ncnn-android-benchmark.git