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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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.

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.

MIT