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Visual Studio C++ demo app for running ssd object detection and deeplab image segmentation on windows using TensorFlow Lite C api

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tflite-win-c

This is an ssd object detection and deeplab image segmentation demo project using TensorFlow Lite C API on windows with Visual Studio C++.

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Setup

OpenCV

The project make use of OpenCV:

  1. Download and extract opencv to some folder, e.g c:\tools\opencv
  2. Define global environment variable OPENCV_DIST pointing the opencv install dir. The project reference opencv build\include dir and build\x64\vc15\lib dirs as follow: $(OPENCV_DIST)\build\include and $(OPENCV_DIST)\build\x64\vc15\lib, so make sure OPENCV_DIST points to the right place.
  3. During runtime, the app will need to load opencv dll, make sure to have opencv build\x64\vc15\bin dir in the path.

tflite-dist

The project need TensorFlow Lite headers, C lib and C dll, either download them from here or build it yourself. Eventually there should be a "tflite-dist" as follow:

+- tflite-dist
+---+ include
+-------+ tenslorflow\lite\c (all c headers)
+---+ libs\windows_x86_64\tensorflowlite_c.dll.if.lib
+---+ libs\windows_x86_64\tensorflowlite_c.dll

The project refernce these files using a TFLITE_DIST environment variable:

  1. Define a global environment variable that points to your tflite-dist folder.
  2. Make sure to select the "Release/x64" build configuration
  3. During runtime, the app will need to load tensorflowlite_c.dll, make sure to have tflite-dist\libs\windows_x86_64 dir in the path.

License

MIT

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Visual Studio C++ demo app for running ssd object detection and deeplab image segmentation on windows using TensorFlow Lite C api

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