InferenceHelper_Binary

• Pre-built libraries for InferenceHelper ( https://github.com/iwatake2222/InferenceHelper )

• TensorFlow Lite : https://github.com/tensorflow/tensorflow

  • 
  • Options:
    • with XNNPACK delegate (x64 and aarch64 only)
    • with GPU delegate (Android only)
    • with NNAPI delegate (Android only)
  • Targets:
    • Linux (x64)
    • Linux (aarch64)
    • Linux (armv7)
    • Linux (Android arm64-v8a)
    • Linux (Android armeabi-v7a)
    • Windows (Visual Studio 2019)

• Edge TPU : https://github.com/google-coral/libedgetpu

  • 
  • Targets:
    • Linux (x64)
    • Linux (aarch64)
    • Linux (armv7)
    • Windows (Visual Studio 2019)

• MNN : https://github.com/alibaba/MNN

  • 
  • Options:
    • with / without Vulkan
  • Targets:
    • Linux (x64)
    • Linux (aarch64)
    • Linux (armv7)
    • Linux (Android arm64-v8a)
    • Linux (Android armeabi-v7a)
    • Windows (Visual Studio 2019)

• Arm NN : https://github.com/ARM-software/armnn

  • 
  • Targets:
    • Linux (aarch64)
    • Linux (armv7)

• As for the following frameworks, the official provides pre-built libraries

  • ncnn : https://github.com/Tencent/ncnn
  • SNPE (Snapdragon Neural Processing Engine SDK) : https://developer.qualcomm.com/software/qualcomm-neural-processing-sdk/tools
  • OpenCV : https://github.com/opencv/opencv
  • OpenVINO : https://www.intel.com/content/www/us/en/developer/tools/openvino-toolkit-download.html
  • NNabla : https://github.com/sony/nnabla