An android ndk app integrating caffe2, opencv and ndk camera.
<1> Android Studio 2.3.0 or above
<2> Android-21 or above
If building this app failed, please build google ndk camera sample.
<1> camera
<2> opencv
<3> caffe2
In texture-view,
|__build
|__build.gradle
|__src
|__main
|__assets
|__squeeze_init_net.pb (squeeze net architecture file)
|__squeeze_predict_net.pb (squeeze net pretrained weights)
|__cpp
|__caffe2 (caffe2 headers)
|__camera (Android NDK native Camera API)
|__Eigen (Eigen headers)
|__google (protobuf headers)
|__opencv (opencv headers)
|__opencv2 (opencv2 headers)
|__android_main.cpp ( 1. contains all c++ files that are called from Java via JNI)
( 2. handles all the native activities including camera, caffe, opencv.)
|__classes.h (Imagenet classes)
|__CMakeLists.txt ( CMake )
|__Java
|__com__sample__textureview
|__ViewActivity.java (App's life cycle, UI)
|__libs
|__armeabi-v7a (This is the only ABI supported unfortunately)
|__opencv (opencv4android libraries)
|__(the rest libraries are copied from AICamera)
|__res
|__AndroidManifest.xml
Source code is based upon the following, and I am grateful to them.
[1] NDK sample code is from Google NDK camera texture-view sample
[2] Caffe2 C++ classification procedure is from Caffe2 example
[3] Caffe2 pretrained protobuf and libraries are from AIcamera
[4] The OpenCV libraries are from OpenCV4Android
Issues and bugs (memory leaks, resource allocation and free, threads concurrency, how to balance workload between threads and etc ... ) if you see any of them or have any improvement suggestions, please help me by filing as many issues as you want. I will be very grateful.
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