Add arm64-v8a libs

[sladomic]

• Add OpenCV-android-sdk/sdk/native/libs/arm64-v8a/libopencv_java3.so
• Add "cp -r libs/arm64-v8a/*.so ../src/main/jniLibs/arm64-v8a/" to "jni-build/Makefile"
• Add "APP_ABI := armeabi-v7a arm64-v8a" in "jni-build/jni/Applikation.mk"
• Make
• Make install

[sladomic]

Build TensorFlow for armeabi-v7a and arm64-v8a

1. Prepare your machine https://www.tensorflow.org/versions/r0.11/get_started/os_setup.html#installing-from-sources
2. git clone --recursive https://github.com/tensorflow/tensorflow.git
3. Edit the WORKSPACE file (uncomment Android paths)
4. Run ./configure script
5. bazel build //tensorflow/examples/android:tensorflow_demo --fat_apk_cpu=armeabi-v7a,arm64-v8a

Copy libs to facerecognitionlibrary to compile the tensorflow so-file

1. Copy all from "tensorflow/bazel-out/android-aarch64-linux-android-4.9-gnu-libstdcpp-fastbuild/genfiles/tensorflow" to "facerecognitionlibrary/jni-build/jni/genfiles/tensorflow"
2. Copy all from "tensorflow/tensorflow" to "facerecognitionlibrary/jni-build/jni/include/tensorflow"
3. Copy all from "tensorflow/third_party" to "facerecognitionlibrary/jni-build/jni/include/third_party"
4. Copy all from "tensorflow/bazel-tensorflow/external/protobuf" to "facerecognitionlibrary/jni-build/jni/include/google/protobuf"
5. Copy the files "libprotos_all_cc.a", "libandroid_tensorflow_lib.lo", "libandroid_tensorflow_lib_lite.lo", "kernels/libandroid_tensorflow_kernels.lo" from "tensorflow/bazel-out/android-aarch64-linux-android-4.9-gnu-libstdcpp-fastbuild/bin/tensorflow/core" to "facerecognitionlibrary/jni-build/jni/libs/arm64-v8a"
6. Copy the files "libprotobuf.a" and "libprotobuf_lite.a" from "tensorflow/bazel-out/android-aarch64-linux-android-4.9-gnu-libstdcpp-fastbuild/bin/external/protobuf" to "facerecognitionlibrary/jni-build/jni/libs/arm64-v8a"
7. Change line in Application.mk to "APP_ABI := arm64-v8a"
8. Delete the lines "'-Wl,--icf=all' \", "'-march=armv7-a' \" and "-Wl,--fix-cortex-a8 \" in the Android.mk file
9. Make, Make install