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+ cmake_minimum_required (VERSION 3.24 )
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+ set (project_name "opencv_zoo_pose_estimation_mediapipe" )
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+
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+ PROJECT (${project_name} )
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+
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+ set (OPENCV_VERSION "4.8.0" )
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+ set (OPENCV_INSTALLATION_PATH "" CACHE PATH "Where to look for OpenCV installation" )
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+ find_package (OpenCV ${OPENCV_VERSION} REQUIRED HINTS ${OPENCV_INSTALLATION_PATH} )
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+ # Find OpenCV, you may need to set OpenCV_DIR variable
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+ # to the absolute path to the directory containing OpenCVConfig.cmake file
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+ # via the command line or GUI
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+
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+ file (GLOB SourceFile
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+ "demo.cpp" )
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+ # If the package has been found, several variables will
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+ # be set, you can find the full list with descriptions
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+ # in the OpenCVConfig.cmake file.
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+ # Print some message showing some of them
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+ message (STATUS "OpenCV library status:" )
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+ message (STATUS " config: ${OpenCV_DIR} " )
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+ message (STATUS " version: ${OpenCV_VERSION} " )
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+ message (STATUS " libraries: ${OpenCV_LIBS} " )
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+ message (STATUS " include path: ${OpenCV_INCLUDE_DIRS} " )
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+
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+ # Declare the executable target built from your sources
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+ add_executable (${project_name} ${SourceFile} )
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+
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+ # Link your application with OpenCV libraries
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+ target_link_libraries (${project_name} PRIVATE ${OpenCV_LIBS} )
Original file line number Diff line number Diff line change @@ -12,13 +12,31 @@ This model is converted from TFlite to ONNX using following tools:
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- Visit https://github.com/google/mediapipe/blob/master/docs/solutions/models.md#pose for models of larger scale.
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## Demo
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+ ### python
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+
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Run the following commands to try the demo:
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``` bash
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# detect on camera input
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python demo.py
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# detect on an image
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python demo.py -i /path/to/image -v
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```
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+ ### C++
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+
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+ Install latest OpenCV and CMake >= 3.24.0 to get started with:
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+
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+ ``` shell
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+ # A typical and default installation path of OpenCV is /usr/local
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+ cmake -B build -D OPENCV_INSTALLATION_PATH=/path/to/opencv/installation .
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+ cmake --build build
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+
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+ # detect on camera input
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+ ./build/opencv_zoo_pose_estimation_mediapipe
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+ # detect on an image
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+ ./build/opencv_zoo_pose_estimation_mediapipe -m=/path/to/model -i=/path/to/image -v
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+ # get help messages
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+ ./build/opencv_zoo_pose_estimation_mediapipe -h
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+ ```
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### Example outputs
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